default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, June 2019
- Cassidy Laidlaw, Soheil Feizi:
Functional Adversarial Attacks. - Bryan O'Gorman:
Parameterization of tensor network contraction. - Heinrich Jiang, Maya R. Gupta:
Minimum-Margin Active Learning. - Rhys Beckett, Charith Perera:
IoT Skullfort: Exploring the Impact of Internet Connected Cosplay. - Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor:
Independent Component Analysis based on multiple data-weighting. - Elan Rosenfeld, Santosh S. Vempala, Manuel Blum:
Human-Usable Password Schemas: Beyond Information-Theoretic Security. - Stefano Cipolla, Carmine Di Fiore, Paolo Zellini:
A variation of Broyden Class methods using Householder adaptive transforms. - Stephanie M. Lukin
, Claire Bonial, Clare R. Voss:
Visual Understanding and Narration: A Deeper Understanding and Explanation of Visual Scenes. - Mohammadali Asadi, Alexander Brandt, Robert H. C. Moir, Marc Moreno Maza, Yuzhen Xie:
On the Parallelization of Triangular Decomposition of Polynomial Systems. - Li Deng, Shuo Zhang, Krisztian Balog:
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval. - Li-yao Xia, Yannick Zakowski, Paul He, Chung-Kil Hur, Gregory Malecha, Benjamin C. Pierce, Steve Zdancewic:
Interaction Trees: Representing Recursive and Impure Programs in Coq (Work In Progress). - Colin Cherry, George F. Foster:
Thinking Slow about Latency Evaluation for Simultaneous Machine Translation. - Kunal Swami, Kaushik Raghavan, Nikhilanj Pelluri, Rituparna Sarkar, Pankaj Bajpai:
DISCO: Depth Inference from Stereo using Context. - Amir Behjat, Krushang Gabani, Souma Chowdhury:
Training Detection-Range-Frugal Cooperative Collision Avoidance Models for Quadcopters via Neuroevolution. - FahimeSadat Mirhosseini, Andrea Pizzo, Luca Sanguinetti, Aliakbar Tadaion:
Spectral Efficiency Analysis in Dense Massive MIMO Networks. - Martin Klein, Lyudmila Balakireva, Harihar Shankar:
Evaluating Memento Service Optimizations. - Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio du Pin Calmon:
Optimized Score Transformation for Fair Classification. - Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. - Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu:
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. - Ruben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert:
Balancing spreads of influence in a social network. - Yalin E. Sagduyu, Yi Shi, Tugba Erpek:
IoT Network Security from the Perspective of Adversarial Deep Learning. - Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu:
Scoring Sentence Singletons and Pairs for Abstractive Summarization. - Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu:
Gmail Smart Compose: Real-Time Assisted Writing. - Muhammad A. Masood, Finale Doshi-Velez:
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies. - Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy:
Deep Learning Recommendation Model for Personalization and Recommendation Systems. - Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. - Diab W. Abueidda, Mohammad Almasri, Rami Ammourah, Umberto Ravaioli, Iwona M. Jasiuk, Nahil A. Sobh:
Prediction and optimization of mechanical properties of composites using convolutional neural networks. - Bonggun Shin, Hao Yang, Jinho D. Choi:
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. - Elliot Meyerson, Risto Miikkulainen:
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. - Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. - Jeffrey M. Hokanson, Paul G. Constantine:
The Lipschitz Matrix: A Tool for Parameter Space Dimension Reduction. - Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan:
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving. - Gautham Krishna Gudur, Prahalathan Sundaramoorthy, Venkatesh Umaashankar:
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition. - Krishnendu Chatterjee, Laura Schmid, Stefan Schmid:
The Evolutionary Price of Anarchy: Locally Bounded Agents in a Dynamic Virus Game. - Armin Seyeditabari, Narges Tabari, Shafie Gholizadeh, Wlodek Zadrozny:
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words. - Tomás Musil:
Examining Structure of Word Embeddings with PCA. - Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri:
Model Agnostic Contrastive Explanations for Structured Data. - Hongfu Liu, Zhiqiang Tao, Zhengming Ding:
Consensus Clustering: An Embedding Perspective, Extension and Beyond. - Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. - Oskar Elek, Manu Mathew Thomas, Angus G. Forbes:
Learning Patterns in Sample Distributions for Monte Carlo Variance Reduction. - Søren Taverniers, Daniel M. Tartakovsky:
Estimation of distributions via multilevel Monte Carlo with stratified sampling. - Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama:
Multi-objective Bayesian Optimization using Pareto-frontier Entropy. - Boli Fang, Miao Jiang, Jerry Shen:
Achieving Fairness in Determining Medicaid Eligibility through Fairgroup Construction. - Arsh Javed Rehman, Pradeep Tomar:
Decision-Making in Reinforcement Learning. - Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang:
ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands. - Titas Bera, M. Seetharama Bhat, Debasish Ghose:
Analysis of Obstacle based Probabilistic RoadMap Method using Geometric Probability. - Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole:
Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations. - Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi:
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization. - Zhengyang Shen, François-Xavier Vialard, Marc Niethammer:
Region-specific Diffeomorphic Metric Mapping. - Soroush Ebadian, Xin Huang:
Fast Algorithm for K-Truss Discovery on Public-Private Graphs. - Ilia Kulikov, Jason Lee, Kyunghyun Cho:
Multi-Turn Beam Search for Neural Dialogue Modeling. - Alexander Brandt, Davood Mohajerani, Marc Moreno Maza, Jeeva Paudel, Lin-Xiao Wang:
A Technique for Finding Optimal Program Launch Parameters Targeting Manycore Accelerators. - Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty:
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. - Qian Lou, Lei Jiang:
SHE: A Fast and Accurate Privacy-Preserving Deep Neural Network Via Leveled TFHE and Logarithmic Data Representation. - Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang:
Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. - Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu:
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems. - Dongrui Wu, Jerry M. Mendel:
Patch Learning. - Jian Liu, Naveed Akhtar, Ajmal Mian:
Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video. - Xujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik:
Synthesizing Datalog Programs Using Numerical Relaxation. - Saad Sajid Hashmi, Muhammad Ikram, Mohamed Ali Kâafar:
A Longitudinal Analysis of Online Ad-Blocking Blacklists. - Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag:
Automated Machine Learning with Monte-Carlo Tree Search (Extended Version). - Diego Calvanese, Davide Lanti, Ana Ozaki, Rafael Peñaloza, Guohui Xiao:
Enriching Ontology-based Data Access with Provenance (Extended Version). - Mathijs Mul, Willem H. Zuidema:
Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization. - Jianxin Lin, Yijun Wang, Yingce Xia, Tianyu He, Zhibo Chen:
Learning to Transfer: Unsupervised Meta Domain Translation. - Yansong Gao, Jie Zhang:
Average-case Analysis of the Assignment Problem with Independent Preferences. - Jianxin Lin, Yingce Xia, Sen Liu, Tao Qin, Zhibo Chen:
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation. - Yong Liu, Xuehan Chen, Lin X. Cai, Qingchun Chen, Ruoting Gong, Dong Tang:
On the Fairness Performance of NOMA-based Wireless Powered Communication Networks. - Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama:
Are Anchor Points Really Indispensable in Label-Noise Learning? - Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Karl Tuyls:
Neural Replicator Dynamics. - William S. Evans, Noushin Saeedi:
On problems related to crossing families. - Xi Zheng, Sheng Zhou, Zhiyuan Jiang, Zhisheng Niu:
Closed-Form Analysis of Non-Linear Age-of-Information in Status Updates with an Energy Harvesting Transmitter. - Mohammad Pirhooshyaran, Lawrence V. Snyder:
Multivariate, Multistep Forecasting, Reconstruction and Feature Selection of Ocean Waves via Recurrent and Sequence-to-Sequence Networks. - Antonio Brogi, Stefano Forti, Federica Paganelli:
Probabilistic QoS-aware Placement of VNF chains at the Edge. - Sid Ahmed Fezza, Yassine Bakhti, Wassim Hamidouche, Olivier Déforges:
Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification. - Iulia M. Comsa, Moritz Firsching, Thomas Fischbacher:
SO(8) Supergravity and the Magic of Machine Learning. - Khaled El Madawy, Hazem Rashed, Ahmad El Sallab, Omar Nasr, Hanan Kamel, Senthil Kumar Yogamani:
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving. - Tom Jurgenson, Aviv Tamar:
Harnessing Reinforcement Learning for Neural Motion Planning. - Duc Tam Nguyen, Thi-Phuong-Nhung Ngo, Zhongyu Lou, Michael Klar, Laura Beggel, Thomas Brox:
Robust Learning Under Label Noise With Iterative Noise-Filtering. - René Haberland, Kirill Krinkin, Sergey Ivanovskiy:
Abstract Predicate Entailment over Points-To Heaplets is Syntax Recognition. - Chuan-Chi Lai, Tien-Chun Wang, Chuan-Ming Liu, Li-Chun Wang:
Probabilistic Top-k Dominating Query Monitoring over Multiple Uncertain IoT Data Streams in Edge Computing Environments. - Weidong Mei, Rui Zhang:
Cooperative Downlink Interference Transmission and Cancellation for Cellular-Connected UAV: A Divide-and-Conquer Approach. - Davide Illiano, Iuliu Sorin Pop, Florin Adrian Radu:
Iterative schemes for surfactant transport in porous media. - Gangmuk Lim, Mohamed S. Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon:
Approximate Quantiles for Datacenter Telemetry Monitoring. - Minghao Gu, Shiliang Sun:
Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling. - Rahul Singh, Maneesh Sahani, Arthur Gretton:
Kernel Instrumental Variable Regression. - Atreyee Kundu:
A new characterization of stabilizing cycles for switched linear systems. - Alon Rozental:
Adversarial Generation and Encoding of Nested Texts. - H. M. N. Dilum Bandara, Xiwei Xu, Ingo Weber:
Patterns for Blockchain Migration. - Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern:
Network Formation under Random Attack and Probabilistic Spread. - Hong-Ning Dai, Zibin Zheng, Yan Zhang:
Blockchain for Internet of Things: A Survey. - Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. - Junjie Huang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Maosong Sun:
COS960: A Chinese Word Similarity Dataset of 960 Word Pairs. - Christina Ilvento:
Metric Learning for Individual Fairness. - Ivan Kiskin, Udeepa Meepegama, Steven Roberts:
Super-resolution of Time-series Labels for Bootstrapped Event Detection. - Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang:
Enhancing Transformation-based Defenses using a Distribution Classifier. - Roi Livni, Yishay Mansour:
Graph-based Discriminators: Sample Complexity and Expressiveness. - Sedat Ozer:
Parametric Shape Modeling and Skeleton Extraction with Radial Basis Functions using Similarity Domains Network. - Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang:
How to best use Syntax in Semantic Role Labelling. - Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song:
GLAD: Learning Sparse Graph Recovery. - Nabil Hossain, John Krumm, Michael Gamon:
"President Vows to Cut Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines. - Yinchuan Li, Xiaodong Wang, Zegang Ding:
Multi-dimensional Spectral Super-Resolution with Prior Knowledge via Frequency-Selective Vandermonde Decomposition and ADMM. - Joel Mathew, Shobeir Fakhraei, José Luis Ambite:
Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping. - Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira:
Learning to Generate Grounded Image Captions without Localization Supervision. - Ehsan Aryafar, Alireza Keshavarz-Haddad, Carlee Joe-Wong:
Proportional Fair RAT Aggregation in HetNets. - Ursula Challita, Kimmo Hiltunen, Miurel Tercero:
Performance Evaluation for the Co-existence of eMBB and URLLC Networks: Synchronized versus Unsynchronized TDD. - Saeed Masoudian, Ali Arabzadeh, Mahdi Jafari Siavoshani, Milad Jalal, Alireza Amouzad:
Adaptive Online Learning for Gradient-Based Optimizers. - Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru:
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification. - Róbert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu:
On the computational complexity of the probabilistic label tree algorithms. - Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Transformer for Unaligned Multimodal Language Sequences. - Vassos Hadzilacos, Xing Hu, Sam Toueg:
Optimal Register Construction in M&M Systems. - Frances Ann Hubis, Wentao Wu, Ce Zhang:
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter. - Kenton Lee, Ming-Wei Chang, Kristina Toutanova:
Latent Retrieval for Weakly Supervised Open Domain Question Answering. - Yifan Sun, Yaqi Duan, Hao Gong, Mengdi Wang:
Learning low-dimensional state embeddings and metastable clusters from time series data. - Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi:
Active Learning for Binary Classification with Abstention. - Andrew Habib, Michael Pradel:
Neural Bug Finding: A Study of Opportunities and Challenges. - Andy Shih, Guy Van den Broeck, Paul Beame, Antoine Amarilli:
Smoothing Structured Decomposable Circuits. - Sinan Ariyurek, Aysu Betin-Can, Elif Sürer:
Automated Video Game Testing Using Synthetic and Human-Like Agents. - Matan Eyal, Tal Baumel, Michael Elhadad:
Question Answering as an Automatic Evaluation Metric for News Article Summarization. - Andrej Bogdanov, Nikhil S. Mande, Justin Thaler, Christopher Williamson:
Approximate degree, secret sharing, and concentration phenomena. - Pareesa Ameneh Golnari, Sharad Malik:
Sparse Matrix to Matrix Multiplication: A Representation and Architecture for Acceleration (long version). - (Withdrawn) Finite difference/spectral approximations for the two-dimensional time Caputo-Fabrizio fractional diffusion equation.
- Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li:
Incremental Few-Shot Learning for Pedestrian Attribute Recognition. - Tianyi Lin, Chi Jin, Michael I. Jordan:
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems. - Haekyu Park, Fred Hohman, Duen Horng Chau:
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. - Christian Cosgrove, Alan L. Yuille:
Adversarial Examples for Edge Detection: They Exist, and They Transfer. - Alex Irpan, Xingyou Song:
The Principle of Unchanged Optimality in Reinforcement Learning Generalization. - Piotr Indyk, Ali Vakilian, Tal Wagner, David P. Woodruff:
Sample-Optimal Low-Rank Approximation of Distance Matrices. - Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery. - Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. - Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. - Mohammad Ostadijafari, Anamika Dubey:
Linear Model-Predictive Controller (LMPC) for Building's Heating Ventilation and Air Conditioning (HVAC) System. - Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren:
Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat. - Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, Wangmeng Zuo:
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching. - Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin:
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. - Mohammad Ostadijafari, Anamika Dubey, Yang Liu, Jie Shi, Nanpeng Yu:
Smart Building Energy Management using Nonlinear Economic Model Predictive Control. - Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao:
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation. - Lasitha Uyangoda, Supunmali Ahangama, Tharindu Ranasinghe:
User Profile Feature-Based Approach to Address the Cold Start Problem in Collaborative Filtering for Personalized Movie Recommendation. - Bruce Belson, Jason Holdsworth, Wei Xiang, Bronson Philippa:
A Survey of Asynchronous Programming Using Coroutines in the Internet of Things and Embedded Systems. - Abuthahir, Nizar Malangadan, Gaurav Raina:
Effect of two forms of feedback on the performance of the Rate Control Protocol (RCP). - Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell:
Domain Adaptation of Neural Machine Translation by Lexicon Induction. - Feng Mao, Xiang Wu, Hui Xue, Rong Zhang:
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. - Shizhe Chen, Qin Jin, Alexander G. Hauptmann:
Unsupervised Bilingual Lexicon Induction from Mono-lingual Multimodal Data. - Aditya MVS, Harsh Pancholi, P. Priyanka, Gaurav S. Kasbekar:
Beyond the VCG Mechanism: Truthful Reverse Auctions for Relay Selection with High Data Rates, High Base Station Utility and Low Interference in D2D Networks. - Xiaolei Fang, Jinquan Luo:
Two Classes of New MDS Self-dual Codes over Finite Fields. - Mohammad Yaghini, Bogdan Kulynych, Carmela Troncoso:
Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning. - Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. - Lei Tong, Xiangrong Zhang, Qianni Zhang, Abdul Hamid Sadka, Ling Li, Huiyu Zhou:
Inverse boosting pruning trees for depression detection on Twitter. - Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu:
Multi-objective Pruning for CNNs using Genetic Algorithm. - Jun Zhang, Khaled Ben Letaief:
Mobile Edge Intelligence and Computing for the Internet of Vehicles. - Ayush Datta, Rahul Tallamraju, Kamalakar Karlapalem:
Multiple Drones driven Hexagonally Partitioned Area Exploration: Simulation and Evaluation. - Zhun Fan, Zhaojun Wang, Wenji Li, Yutong Yuan, Yugen You, Zhi Yang, Fuzan Sun, Jie Ruan, Zhaocheng Li:
Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems. - Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Domain Adaptive Inference for Neural Machine Translation. - Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek:
Learning Domain Randomization Distributions for Transfer of Locomotion Policies. - Serhad Sarica, Jianxi Luo, Kristin L. Wood:
Technology Knowledge Graph Based on Patent Data. - Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao, Maxine Eskénazi:
Pretraining Methods for Dialog Context Representation Learning. - Anupam Gupta, Euiwoong Lee, Jason Li:
The Number of Minimum k-Cuts: Improving the Karger-Stein Bound. - Srivatsan Krishnan, Behzad Boroujerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi:
Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots. - Abi Komanduru, Jean Honorio:
On the Correctness and Sample Complexity of Inverse Reinforcement Learning. - Zeyu Jia, Lin F. Yang, Mengdi Wang:
Feature-Based Q-Learning for Two-Player Stochastic Games. - Laura Manor, Junyi Jessy Li:
Plain English Summarization of Contracts. - Ronen Basri, David W. Jacobs, Yoni Kasten, Shira Kritchman:
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies. - Igor A. Semaev:
New non-linearity parameters of Boolean functions. - Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla:
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. - Sajid Nisar, Melisa Orta Martinez, Takahiro Endo, Fumitoshi Matsuno, Allison M. Okamura:
Effects of Different Hand-Grounding Locations on Haptic Performance With a Wearable Kinesthetic Haptic Device. - Xingyou Song, Yilun Du, Jacob Jackson:
An Empirical Study on Hyperparameters and their Interdependence for RL Generalization. - Ting-En Lin, Hua Xu:
Deep Unknown Intent Detection with Margin Loss. - Stefano Recanatesi, Matthew Farrell, Madhu Advani, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown:
Dimensionality compression and expansion in Deep Neural Networks. - Ali Razavi, Aäron van den Oord, Oriol Vinyals:
Generating Diverse High-Fidelity Images with VQ-VAE-2. - Kevin Bello, Asish Ghoshal, Jean Honorio:
Minimax bounds for structured prediction. - Kevin Bello, Jean Honorio:
Exact inference in structured prediction. - Michal Koziarski:
Radial-Based Undersampling for Imbalanced Data Classification. - Saeed Khaki, Zahra Khalilzadeh:
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach. - Vladislav Gennadievich Malyshkin:
On The Radon-Nikodym Spectral Approach With Optimal Clustering. - Matheus A. Cavalcante, Fabian Schuiki, Florian Zaruba, Michael Schaffner, Luca Benini:
Ara: A 1 GHz+ Scalable and Energy-Efficient RISC-V Vector Processor with Multi-Precision Floating Point Support in 22 nm FD-SOI. - Mohsen Ghaffari, Fabian Kuhn:
On the Use of Randomness in Local Distributed Graph Algorithms. - Geunseob Oh, Huei Peng:
Longitudinal Trajectory Prediction of Human-driven Vehicles Near Traffic Lights. - Romolo Marotta, Davide Tiriticco, Pierangelo di Sanzo, Alessandro Pellegrini, Bruno Ciciani, Francesco Quaglia:
Mutable Locks: Combining the Best of Spin and Sleep Locks. - Naiyang Guan, Tongliang Liu, Yangmuzi Zhang, Dacheng Tao, Larry S. Davis:
Truncated Cauchy Non-negative Matrix Factorization. - Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen:
Budgeted Policy Learning for Task-Oriented Dialogue Systems. - Sashank Santhanam, Samira Shaikh:
A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions. - Chidubem Arachie, Bert Huang:
An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision. - Jialin Wu, Zeyuan Hu, Raymond J. Mooney:
Generating Question Relevant Captions to Aid Visual Question Answering. - Zhengyu Ma, Tianjiao Qi, James Route, Amir Ziai:
Mining Data from the Congressional Record. - Dylan J. Foster, Akshay Krishnamurthy, Haipeng Luo:
Model selection for contextual bandits. - Aishwarya Bhandare, Vamsi Sripathi, Deepthi Karkada, Vivek Menon, Sun Choi, Kushal Datta, Vikram A. Saletore:
Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model. - Xiao Zhang, Dan Goldwasser:
Sentiment Tagging with Partial Labels using Modular Architectures. - Igor Borovikov, Jesse Harder, Michael G. Sadovsky, Ahmad Beirami:
Towards Interactive Training of Non-Player Characters in Video Games. - Shichen Cao, Jingjing Li, Kenric P. Nelson, Mark A. Kon:
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder. - Enrique Otárola:
An adaptive finite element method for the sparse optimal control of fractional diffusion. - Jiseob Kim, Seungjae Jung, Hyundo Lee, Byoung-Tak Zhang:
Encoder-Powered Generative Adversarial Networks. - Yudong Guo, Luo Jiang, Lin Cai, Juyong Zhang:
3D Magic Mirror: Automatic Video to 3D Caricature Translation. - Zhaoqun Li, Cheng Xu, Biao Leng:
Rethinking Loss Design for Large-scale 3D Shape Retrieval. - Kalpant Pathak, Adrish Banerjee:
Harvest-or-Transmit Policy for Cognitive Radio Networks: A Learning Theoretic Approach. - Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu:
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment. - Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su:
Global Textual Relation Embedding for Relational Understanding. - Gengyu Lyu, Songhe Feng, Yi Jin, Guojun Dai, Congyan Lang, Yidong Li:
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. - Zhen Zhang, Fan Wu, Wee Sun Lee:
Factor Graph Neural Network. - Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang:
Adversarially Robust Generalization Just Requires More Unlabeled Data. - Elizabeth Salesky, Matthias Sperber, Alex Waibel:
Fluent Translations from Disfluent Speech in End-to-End Speech Translation. - Qianru Sun, Xinzhe Li, Yaoyao Liu, Shibao Zheng, Tat-Seng Chua, Bernt Schiele:
Learning to Self-Train for Semi-Supervised Few-Shot Classification. - Noriki Fujisato, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Direct Linear Time Construction of Parameterized Suffix and LCP Arrays for Constant Alphabets. - Chongyang Bai, Tommy White, Linda Xiao, V. S. Subrahmanian, Ziheng Zhou:
C2P2: A Collective Cryptocurrency Up/Down Price Prediction Engine. - Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrase Generation with a Syntactic Exemplar. - Aidin Ferdowsi, Walid Saad:
Generative Adversarial Networks for Distributed Intrusion Detection in the Internet of Things. - Anmol Kagrecha, Jayakrishnan Nair, Krishna P. Jagannathan:
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards. - Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang:
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization. - Harm van Seijen, Mehdi Fatemi, Arash Tavakoli:
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. - Alex Pappachen James:
An overview of memristive cryptography. - Hai Ye, Wenjie Li, Lu Wang:
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. - Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic:
Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise. - Johanes Effendi, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
From Speech Chain to Multimodal Chain: Leveraging Cross-modal Data Augmentation for Semi-supervised Learning. - Hongyu Zang, Xiaojun Wan:
Massive Styles Transfer with Limited Labeled Data. - Pooja Vyavahare, D. Manjunath, Jayakrishnan Nair:
Sponsored data with ISP competition. - Hongyu Zang, Xiaojun Wan:
A Semi-Supervised Approach for Low-Resourced Text Generation. - Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari:
Discovering Neural Wirings. - Xin Qiu, Elliot Meyerson, Risto Miikkulainen:
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. - Yuan Hu, Yingtian Zou, Jiashi Feng:
Panoptic Edge Detection. - Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer:
Evaluating Gender Bias in Machine Translation. - Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Assessing the Ability of Self-Attention Networks to Learn Word Order. - Athira Subhash, Muralikrishnan Srinivasan, Sheetal Kalyani, Lajos Hanzo:
Transmit Power Policy and Ergodic Multicast Rate Analysis of Cognitive Radio Networks in Generalized Fading. - Xuelun Shen, Cheng Wang, Xin Li, Zenglei Yu, Jonathan Li, Chenglu Wen, Ming Cheng, Zijian He:
RF-Net: An End-to-End Image Matching Network based on Receptive Field. - Manish R. Joshi, Sangeeta Jadhav:
An Extensive Review of Computational Dance Automation Techniques and Applications. - Evgenija D. Popova:
On a class of parameterized solutions to interval parametric linear systems. - Christophe Moy, Lilian Besson:
Decentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation. - Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis:
Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. - Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman:
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. - Arun Jambulapati, Aaron Sidford, Kevin Tian:
A Direct Õ(1/ε) Iteration Parallel Algorithm for Optimal Transport. - Jayashree Karlekar, Jiashi Feng, Zi Sian Wong, Sugiri Pranata:
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation. - Domenico Cotroneo, Antonio Ken Iannillo, Roberto Natella:
Evolutionary Fuzzing of Android OS Vendor System Services. - Michael Benedikt, Pierre Bourhis, Louis Jachiet, Michaël Thomazo:
Reasoning about disclosure in data integration in the presence of source constraints. - Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor:
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. - Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi:
Computing Valid p-values for Image Segmentation by Selective Inference. - Christelle Mariais, David Roche, Laurence Farhi, Sabrina Barnabé, Sonia Cruchon, Sophie de Quatrebarbes, Thierry Viéville:
Peut-on former les enseignant·e·s en un rien de temps ? - Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
How Much Does Audio Matter to Recognize Egocentric Object Interactions? - Kiera van der Sande, Bengt Fornberg:
Fast variable density 3-D node generation. - Feng Liao, Hankz Hankui Zhuo, Xiaoling Huang, Yu Zhang:
Federated Hierarchical Hybrid Networks for Clickbait Detection. - Peichen Xie, Bingzhe Wu, Guangyu Sun:
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. - Fangqing Liu, Hui Chen, Liyue Zhao, Hao Wu:
Discriminative adversarial networks for positive-unlabeled learning. - Corinne Atlan, Jean-Pierre Archambault, Olivier Banus, Frédéric Bardeau, Amélie Blandeau, Antonin Cois, Martine Courbin, Gérard Giraudon, Saint-Clair Lefèvre, Valérie Letard, Bastien Masse, Florent Masseglia, Benjamin Ninassi, Sophie de Quatrebarbes, Margarida Romero, Didier Roy, Thierry Viéville:
Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s. - Thibaud Ehret:
Robust copy-move forgery detection by false alarms control. - Zhepei Wang, Y. Cem Sübakan, Efthymios Tzinis, Paris Smaragdis, Laurent Charlin:
Continual Learning of New Sound Classes using Generative Replay. - Heimo Müller, Andreas Holzinger:
Kandinsky Patterns. - Till Fluschnik, Rolf Niedermeier, Valentin Rohm, Philipp Zschoche:
Multistage Vertex Cover. - Jens Schreiber, Maik Jessulat, Bernhard Sick:
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. - Jakob Prange, Nathan Schneider, Omri Abend:
Semantically Constrained Multilayer Annotation: The Case of Coreference. - Jarkko Peltomäki, Markus A. Whiteland:
Every nonnegative real number is an abelian critical exponent. - Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang:
A Closed-form Solution to Universal Style Transfer. - Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin:
Nonstochastic Multiarmed Bandits with Unrestricted Delays. - Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Neural Generative Semantic Hashing. - Mutian He, Yan Deng, Lei He:
Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS. - Azeem Ahmad, Ola Leifler, Kristian Sandahl:
Empirical Analysis of Factors and their Effect on Test Flakiness - Practitioners' Perceptions. - Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Contextually Propagated Term Weights for Document Representation. - Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao:
Deeply-supervised Knowledge Synergy. - Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha, Mounir Hamdi:
The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks? - Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin:
DANE: Domain Adaptive Network Embedding. - Canran Xu, Ruijiang Li:
Relation Embedding with Dihedral Group in Knowledge Graph. - Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen:
NeuralVis: Visualizing and Interpreting Deep Learning Models. - Johannes von Oswald, Christian Henning, João Sacramento, Benjamin F. Grewe:
Continual learning with hypernetworks. - Xiaoyu Shi, Benedetta Tondi, Bin Li, Mauro Barni:
CNN-based Steganalysis and Parametric Adversarial Embedding: a Game-Theoretic Framework. - Emilio Rafael Balda, Arash Behboodi, Niklas Koep, Rudolf Mathar:
Adversarial Risk Bounds for Neural Networks through Sparsity based Compression. - Chihiro Noguchi, Tatsuro Kawamoto:
Evaluating network partitions through visualization. - Yasir Mahmood, Arne Meier, Johannes Schmidt:
Parameterised Complexity for Abduction. - Arindam Sikdar, Ananda S. Chowdhury:
An Adaptive Training-less System for Anomaly Detection in Crowd Scenes. - Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo, Seung Park, Sung-Jea Ko:
cGANs with Conditional Convolution Layer. - Nils Henrik Risebro, Adrian Montgomery Ruf:
Numerical investigations into a model of partially incompressible two-phase flow in pipes. - Suzhi Bi, Liang Huang, Ying-Jun Angela Zhang:
Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing System. - Thorsten Ehlers, Florin Manea, Dirk Nowotka, Kamellia Reshadi:
On Modelling the Avoidability of Patterns as CSP. - Junlong Gao, Xi Meng, Shiqi Wang, Xia Li, Shanshe Wang, Siwei Ma, Wen Gao:
Masked Non-Autoregressive Image Captioning. - Yusuke Aoki, Kazuyuki Shudo:
Proximity Neighbor Selection in Blockchain Networks. - Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt:
Topological Autoencoders. - Kaiqing Zhang, Zhuoran Yang, Tamer Basar:
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games. - David Álvarez, Santiago Pascual, Antonio Bonafonte:
Problem-Agnostic Speech Embeddings for Multi-Speaker Text-to-Speech with SampleRNN. - Yunfei Liu, Feng Lu:
Separate from Observation: Unsupervised Single Image Layer Separation. - Jan Laermann, Wojciech Samek, Nils Strodthoff:
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training. - Nicki Holighaus, Günther Koliander, Zdenek Prusa, Luís Daniel Abreu:
Characterization of Analytic Wavelet Transforms and a New Phaseless Reconstruction Algorithm. - Mathias Strufe, Michael Gundall, Hans D. Schotten, Christian Markwart, Rakash S. Ganesan, Markus Aleksy:
Design of a 5G Ready and Reliable Architecture for the Smart Factory of the Future. - Shuping Dang, Osama Amin, Basem Shihada, Mohamed-Slim Alouini:
From a Human-Centric Perspective: What Might 6G Be? - Masahiro Kaneko, Danushka Bollegala:
Gender-preserving Debiasing for Pre-trained Word Embeddings. - Nof Abuzainab, Walid Saad, Allen B. MacKenzie:
Distributed Uplink Power Control in an Ultra-Dense Millimeter Wave Network: A Mean-field Game Approach. - Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis:
Hierarchical Decision Making by Generating and Following Natural Language Instructions. - Karan Khathuria, Joachim Rosenthal, Violetta Weger:
Encryption Scheme Based on Expanded Reed-Solomon Codes. - Kazuki Takamura, Satoshi Yamane:
Improving Minimal Gated Unit for Sequential Data. - Seyedeh Negar Afrasiabi, Somayeh Kianpisheh, Carla Mouradian, Roch H. Glitho, Ashok Moghe:
Application Components Migration in NFV-based Hybrid Cloud/Fog Systems. - Elena Cipressi, Maria Luisa Merani:
Effects of Packet Loss and Jitter on VoLTE Call Quality. - Usman Nazir:
Accurate Localization in Wireless Sensor Networks in the Presence of Cross Technology Interference. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
A gender analysis of top scientists' collaboration behavior: evidence from Italy. - Yafei Zhang, Lin Wang, Jonathan J. H. Zhu, Xiaofan Wang, Alex 'Sandy' Pentland:
The Strength of Structural Diversity in Online Social Networks. - Michele Botti, Daniele A. Di Pietro, Pierre Sochala:
A high-order discretization of nonlinear poroelasticity. - Abu Sufian, Anuradha Banerjee, Paramartha Dutta:
Fuzzy-Controlled Scheduling of Route-Request Packets (FSRR) in Mobile Ad Hoc Networks. - Abu Banerjee, Paramartha Dutta, Anuradha Sufian:
Fuzzy Route Switching For Energy Preservation (FEP) in Ad Hoc Networks. - Joshua Moerman, Jurriaan Rot:
Separation and Renaming in Nominal Sets. - Tomás Pevný, Vojtech Kovarík:
Approximation capability of neural networks on spaces of probability measures and tree-structured domains. - Luca Aceto, Antonis Achilleos, Adrian Francalanza, Anna Ingólfsdóttir, Karoliina Lehtinen:
An Operational Guide to Monitorability. - Yue Xu, Wenjun Xu, Zhi Wang, Jiaru Lin, Shuguang Cui:
Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach. - Donald J. Bucci Jr., Pramod K. Varshney:
Decentralized Multi-target Tracking in Urban Environments: Overview and Challenges. - Oscar J. Romero:
Dynamic Service Composition Orchestrated by Cognitive Agents in Mobile & Pervasive Computing. - Weisen Shi, Junling Li, Nan Cheng, Feng Lyu, Yanpeng Dai, Haibo Zhou, Xuemin Shen:
3D Multi-Drone-Cell Trajectory Design for Efficient IoT Data Collection. - Weisen Shi, Junling Li, Nan Cheng, Feng Lyu, Shan Zhang, Haibo Zhou, Xuemin Shen:
Multi-Drone 3D Trajectory Planning and Scheduling in Drone Assisted Radio Access Networks. - Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton:
Learning Semantic Annotations for Tabular Data. - Paul Wild, Lutz Schröder, Dirk Pattinson, Barbara König:
A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic. - Jürgen Dölz, Helmut Harbrecht, Stefan Kurz, Michael D. Multerer, Sebastian Schöps, Felix Wolf:
Bembel: The Fast Isogeometric Boundary Element C++ Library for Laplace, Helmholtz, and Electric Wave Equation. - Subrahmanyam Vaddi, Chandan Kumar, Ali Jannesari:
Efficient Object Detection Model for Real-Time UAV Applications. - Mounica Maddela, Wei Xu, Daniel Preotiuc-Pietro:
Multi-task Pairwise Neural Ranking for Hashtag Segmentation. - Agoritsa Polyzou, George Karypis:
Grade prediction with course and student specific models. - Joan Serrà, Santiago Pascual, Carlos Segura:
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion. - Bernd Finkbeiner, Christopher Hahn, Marvin Stenger, Leander Tentrup:
RVHyper: A Runtime Verification Tool for Temporal Hyperproperties. - Artem Artemov, Ivan Bolokhov, D. Kem, I. Khasenevich:
Neural Network-based Object Classification by Known and Unknown Features (Based on Text Queries). - Thomas Robert, Nicolas Thome, Matthieu Cord:
DualDis: Dual-Branch Disentangling with Adversarial Learning. - Jichao Zhang, Meng Sun, Jingjing Chen, Hao Tang, Yan Yan, Xueying Qin, Nicu Sebe:
GazeCorrection: Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks. - Travis Gagie, Tomohiro I, Giovanni Manzini, Gonzalo Navarro, Hiroshi Sakamoto, Yoshimasa Takabatake:
Rpair: Rescaling RePair with Rsync. - Helin Gong, Yvon Maday, Olga Mula, Tommaso Taddei:
PBDW method for state estimation: error analysis for noisy data and nonlinear formulation. - Anas Shatnawi, Hafedh Mili, Manel Abdellatif, Yann-Gaël Guéhéneuc, Naouel Moha, Geoffrey Hecht, Ghizlane El-Boussaidi, Jean Privat:
Static Code Analysis of Multilanguage Software Systems. - Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Zero-Shot Semantic Segmentation. - Anna M. Kruspe:
One-Way Prototypical Networks. - Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda:
Data-driven Estimation of Sinusoid Frequencies. - Alban Laflaquière, Verena V. Hafner:
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction. - Juntao Huang, Yingda Cheng:
An adaptive multiresolution discontinuous Galerkin method with artificial viscosity for scalar hyperbolic conservation laws in multidimensions. - Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan:
DAWN: Dynamic Adversarial Watermarking of Neural Networks. - Maruthi Rohit Ayyagari:
Cache Contention on Multicore Systems: An Ontology-based Approach. - Sandeep Attree:
Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling. - Ihab Mohammed, Shadha Tabatabai, Ala I. Al-Fuqaha, Junaid Qadir:
Opportunistic Data Ferrying in Areas with Limited Information and Communications Infrastructure. - Johannes Christian Thiele, Olivier Bichler, Antoine Dupret:
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes. - Jaehoon Cha, Kyeong Soo Kim, Sanghyuk Lee:
Hierarchical Auxiliary Learning. - Philip N. Brown:
Designing for Emergent Security in Heterogeneous Human-Machine Teams. - Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes:
Deep Reasoning Networks: Thinking Fast and Slow. - David Aristoff:
An ergodic theorem for weighted ensemble. - Niclas Kannengießer, Sebastian Lins, Tobias Dehling, Ali Sunyaev:
Mind the Gap: Trade-Offs between Distributed Ledger Technology Characteristics. - Abdelrahman Manna, Mouhammd Alkasassbeh:
Detecting network anomalies using machine learning and SNMP-MIB dataset with IP group. - Yousef Khaled Shaheen, Mohammad Al Kasassbeh:
A Proactive Design to Detect Denial of Service Attacks Using SNMP-MIB ICMP Variables. - Ahmed Hambouz, Mouhammd Alkasassbeh:
Network Attacks Anomaly Detection Using SNMP MIB Interface Parameters. - Shizhe Chen, Qin Jin, Jianlong Fu:
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots. - Rocío Carratalá-Sáez, Sven Christophersen, José Ignacio Aliaga, Vicenç Beltran, Steffen Börm, Enrique S. Quintana-Ortí:
Exploiting nested task-parallelism in the H-LU factorization. - Philippos Papaphilippou, Paul H. J. Kelly, Wayne Luk:
Pangloss: a novel Markov chain prefetcher. - Erik Burman, Cuiyu He, Mats G. Larson:
A Posteriori Error Estimates with Boundary Correction for a Cut Finite Element Method. - Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Zhenyu Xie, Bowen Wu, Ziqi Zhang, Xiaohui Shen, Jian Yin:
Fashion Editing with Multi-scale Attention Normalization. - Chunyan Niu, Hongxing Rui, Xiaozhe Hu:
A Stabilized Hybrid Mixed Finite Element Method for Poroelasticity. - Yanjie Dong, Julian Cheng, Md. Jahangir Hossain, Victor C. M. Leung:
Secure Distributed On-Device Learning Networks With Byzantine Adversaries. - Mauro Franceschelli, Paolo Frasca:
Stability of Open Multi-Agent Systems and Applications to Dynamic Consensus. - Zhun Fan, Jiewei Lu, Benzhang Qiu, Tao Jiang, Kang An, Alex Noel Joseph Raj, Chuliang Wei:
Automated Steel Bar Counting and Center Localization with Convolutional Neural Networks. - Abigail Garrett, Naeemul Hassan:
Understanding the Silence of Sexual Harassment Victims Through the #WhyIDidntReport Movement. - Naeemul Hassan, Manash Kumar Mandal, Mansurul Bhuiyan, Aparna Moitra, Syed Ishtiaque Ahmed:
Can Women Break the Glass Ceiling?: An Analysis of #MeToo Hashtagged Posts on Twitter. - Chenyang Zhang, Christine Kaeser-Chen, Grace Vesom, Jennie Choi, Maria Kessler, Serge J. Belongie:
The iMet Collection 2019 Challenge Dataset. - Cristiano Chesi:
Phase-based Minimalist Parsing and complexity in non-local dependencies. - Philip Bachman, R. Devon Hjelm, William Buchwalter:
Learning Representations by Maximizing Mutual Information Across Views. - Georg Krempl, Dominik Lang, Vera Hofer:
Temporal Density Extrapolation using a Dynamic Basis Approach. - Tifenn Hirtzlin, Bogdan Penkovsky, Marc Bocquet, Jacques-Olivier Klein, Jean-Michel Portal, Damien Querlioz:
Stochastic Computing for Hardware Implementation of Binarized Neural Networks. - Jeffrey Uhlmann:
Software Adaptation and Generalization of Physically-Constrained Games. - Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard:
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization. - Michael Fromm, Evgeniy Faerman, Thomas Seidl:
TACAM: Topic And Context Aware Argument Mining. - Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool:
3D Appearance Super-Resolution with Deep Learning. - Katrina Ligett, Moshe Shenfeld:
A necessary and sufficient stability notion for adaptive generalization. - Jeffrey Uhlmann, Jie Wang:
On Radically Expanding the Landscape of Potential Applications for Automated Proof Methods. - Miguel Alonso Jr.:
Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images. - Hafedh Mili, Ghizlane El-Boussaidi, Anas Shatnawi, Yann-Gaël Guéhéneuc, Naouel Moha, Jean Privat, Petko Valtchev:
Service-Oriented Re-engineering of Legacy JEE Applications: Issues and Research Directions. - Feiyu Chen, Yuchen Yang, Liwei Xu, Taiping Zhang, Yin Zhang:
Big-Data Clustering: K-Means or K-Indicators? - Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters:
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA. - Aviral Kumar, Justin Fu, George Tucker, Sergey Levine:
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction. - Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters:
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches. - Vincent Guigues:
A library to compute the density of the distance between a point and a random variable uniformly distributed in some sets. - Zsolt Levente Kucsván:
Comparing two- and three-view Computer Vision. - Yan Zhang, Krikamol Muandet, Qianli Ma, Heiko Neumann, Siyu Tang:
Low-rank Random Tensor for Bilinear Pooling. - Ian D. Jordan, Piotr Aleksander Sokól, Il Memming Park:
Gated recurrent units viewed through the lens of continuous time dynamical systems. - Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Manolis Zampetakis:
Optimal Learning of Mallows Block Model. - Glorianna Jagfeld:
A computational linguistic study of personal recovery in bipolar disorder. - Hilde Kuehne, Ahsan Iqbal, Alexander Richard, Juergen Gall:
Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data. - Sanghyun Hong, Pietro Frigo, Yigitcan Kaya, Cristiano Giuffrida, Tudor Dumitras:
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks. - Saeed Vahidian, Alexander Cloninger, Baharan Mirzasoleiman:
Data Sampling for Graph Based Unsupervised Learning: Convex and Greedy Optimization. - Louis Jensen, Jacob Harer, Sang Chin:
NodeDrop: A Condition for Reducing Network Size without Effect on Output. - Hilde Kuehne, Alexander Richard, Juergen Gall:
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. - Yichen Yang, Martin C. Rinard:
Correctness Verification of Neural Networks. - Yujie Gu, Minquan Cheng, Grigory Kabatiansky, Ying Miao:
Probabilistic Existence Results for Parent-Identifying Schemes. - Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater:
A Language-Agnostic Model for Semantic Source Code Labeling. - Sjoerd van Steenkiste, Klaus Greff, Jürgen Schmidhuber:
A Perspective on Objects and Systematic Generalization in Model-Based RL. - Terra Blevins, Luke Zettlemoyer:
Better Character Language Modeling Through Morphology. - Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
Transforming Complex Sentences into a Semantic Hierarchy. - Guruprasad Raghavan, Matt Thomson:
Neural networks grown and self-organized by noise. - Melody Y. Guan, Gregory Valiant:
A Surprising Density of Illusionable Natural Speech. - Junxiang Chen, Kayhan Batmanghelich:
Weakly Supervised Disentanglement by Pairwise Similarities. - Sahar F. Zafar, Mariia Murashkina, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario:
Resolving Overlapping Convex Objects in Silhouette Images by Concavity Analysis and Gaussian Process. - Edoardo Galimberti:
Cores and Other Dense Structures in Complex Networks. - Nour Moustafa:
A Systemic IoT-Fog-Cloud Architecture for Big-Data Analytics and Cyber Security Systems: A Review of Fog Computing. - Md. Zamilur Rahman, Asish Mukhopadhyay, Yash P. Aneja:
A separator-based method for generating weakly chordal graphs. - Nestor N. Deniz, Marina H. Murillo, Guido Marcelo Sanchez, Lucas M. Genzelis, Leonardo Luis Giovanini:
Robust stability of moving horizon estimation for nonlinear systems with bounded disturbances using adaptive arrival cost. - Tyler G. R. Reid, Sarah E. Houts, Robert Cammarata, Graham Mills, Siddharth Agarwal, Ankit Vora, Gaurav Pandey:
Localization Requirements for Autonomous Vehicles. - Deepan Muthirayan, Dileep M. Kalathil, Sen Li, Kameshwar Poolla, Pravin Varaiya:
Selling Demand Response Using Options. - Keshav Dasu, Kwan-Liu Ma, Joyce Ma, Jennifer Frazier:
Sea of Genes: Combining Animation and Narrative Strategies to Visualize Metagenomic Data for Museums. - Cyprien de Masson d'Autume, Sebastian Ruder, Lingpeng Kong, Dani Yogatama:
Episodic Memory in Lifelong Language Learning. - Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen:
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. - Michele Polese, Marco Giordani, Tommaso Zugno, Arnab Roy, Sanjay Goyal, Douglas R. Castor, Michele Zorzi:
Integrated Access and Backhaul in 5G mmWave Networks: Potentials and Challenges. - Mariano Tepper:
Do place cells dream of conditional probabilities? Learning Neural Nyström representations. - Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan:
Training Neural Machine Translation To Apply Terminology Constraints. - Nathan White, John Harwell, Maria L. Gini:
Socially Inspired Communication in Swarm Robotics. - Vahid Behzadan, William H. Hsu:
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies. - Francis Y. Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi, James Hong, Keyi Zhang, Philip Alexander Levis, Keith Winstein:
Continual learning improves Internet video streaming. - Hee-Kap Ahn, Eunjin Oh, Lena Schlipf, Fabian Stehn, Darren Strash:
On Romeo and Juliet Problems: Minimizing Distance-to-Sight. - Joel Nishimura, Oscar Goodloe:
Implication Avoiding Dynamics for Externally Observed Networks. - Vahid Behzadan, William H. Hsu:
Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE). - Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Incremental Learning. - Vahid Behzadan, William H. Hsu:
Adversarial Exploitation of Policy Imitation. - Xu Han, Tom Yeh:
Evaluating Voice Skills by Design Guidelines Using an Automatic Voice Crawler. - Konstantin Kozlovtsev, Victor V. Kitov:
Depth-Preserving Real-Time Arbitrary Style Transfer. - Vahid Behzadan, William H. Hsu:
Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies. - Narendra Patwardhan, Zequn Wang:
Proximal Reliability Optimization for Reinforcement Learning. - Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung:
Assessing Performance Implications of Deep Copy Operations via Microbenchmarking. - Wei Wang, Isaac Caswell, Ciprian Chelba:
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation. - Alexey Schekalev, Victor V. Kitov:
Style Transfer With Adaptation to the Central Objects of the Scene. - Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang:
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning. - Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. - Keith Paarporn, Mahnoosh Alizadeh, Jason R. Marden:
A risk-security tradeoff in graphical coordination games. - Baohua Sun, Lin Yang, Michael Lin, Wenhan Zhang, Patrick Dong, Charles Young, Jason Dong:
System Demo for Transfer Learning across Vision and Text using Domain Specific CNN Accelerator for On-Device NLP Applications. - Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
A Case for Backward Compatibility for Human-AI Teams. - Tongfei Chen, Chetan Naik, Hua He, Pushpendre Rastogi, Lambert Mathias:
Improving Long Distance Slot Carryover in Spoken Dialogue Systems. - Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka:
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. - Allen Schmaltz:
Toward Grammatical Error Detection from Sentence Labels: Zero-shot Sequence Labeling with CNNs and Contextualized Embeddings. - Omid Mohamad Nezami, Paria Jamshid Lou, Mansoureh Karami:
ShEMO - A Large-Scale Validated Database for Persian Speech Emotion Detection. - Rohit Voleti, Julie M. Liss, Visar Berisha:
A Review of Language and Speech Features for Cognitive-Linguistic Assessment. - Naimul Mefraz Khan, Marcia Hon, Nabila Abraham:
Transfer Learning with intelligent training data selection for prediction of Alzheimer's Disease. - Matei Ionita, Yury Kashnitsky, Ken Krige, Vladimir Larin, Denis Logvinenko, Atanas Atanasov:
Resolving Gendered Ambiguous Pronouns with BERT. - Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Dynamic Neural Network Decoupling. - Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin:
Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain. - Jens Schreiber:
Transfer Learning in the Field of Renewable Energies - A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection to the Electrical Grid. - Ethan Fetaya, Jörn-Henrik Jacobsen, Richard S. Zemel:
Conditional Generative Models are not Robust. - Xun Gong, Hao Wang, Mohammad Reza Amini, Ilya V. Kolmanovsky, Jing Sun:
Integrated Optimization of Power Split, Engine Thermal Management, and Cabin Heating for Hybrid Electric Vehicles. - Fangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang:
On Privacy Protection of Latent Dirichlet Allocation Model Training. - Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li:
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations. - Linghao Sun, Huixiong Yi, Huanhuan Chen:
Back Attention Knowledge Transfer for Low-resource Named Entity Recognition. - Weiran Shen, Sébastien Lahaie, Renato Paes Leme:
Learning to Clear the Market. - Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong:
Joint Effects of Context and User History for Predicting Online Conversation Re-entries. - Xingran Chen, Mohammad Hassan Lotfi, Saswati Sarkar:
The Interplay of Competition and Cooperation Among Service Providers (Part II). - Hao Guo, Wanxin Li, Mark M. Nejad, Chien-Chung Shen:
Access Control for Electronic Health Records with Hybrid Blockchain-Edge Architecture. - Zengyi Qin, Jinglu Wang, Yan Lu:
Triangulation Learning Network: from Monocular to Stereo 3D Object Detection. - Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul:
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. - Yian Zhang, Yinmiao Li, Daniel Chin, Gus Xia:
Adaptive Multimodal Music Learning via Interactive-haptic Instrument. - Elizabeth Salesky, Matthias Sperber, Alan W. Black:
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation. - Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon:
Learning Neural PDE Solvers with Convergence Guarantees. - Akshat Agarwal, Sumit Kumar, Katia P. Sycara:
Learning Transferable Cooperative Behavior in Multi-Agent Teams. - Jen-Yu Liu, Yi-Hsuan Yang:
Dilated Convolution with Dilated GRU for Music Source Separation. - Fangyu Liu, Rongtian Ye:
A Strong and Robust Baseline for Text-Image Matching. - Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu:
Attributed Graph Clustering via Adaptive Graph Convolution. - Luc-Henri Jolly, Alejandro Duran, Louis Lagardère, Jay W. Ponder, Pengyu Y. Ren, Jean-Philip Piquemal:
Raising the Performance of the Tinker-HP Molecular Modeling Package on Intel's HPC Architectures: a Living Review [Article v1.0]. - Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo:
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis. - Tanner Fiez, Benjamin Chasnov, Lillian J. Ratliff:
Convergence of Learning Dynamics in Stackelberg Games. - Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui:
Toward Building Conversational Recommender Systems: A Contextual Bandit Approach. - Joaquim Campos, Simon Meierhans, Abdelaziz Djelouah, Christopher Schroers:
Content Adaptive Optimization for Neural Image Compression. - Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson:
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem. - Jingcheng Liu, Alistair Sinclair, Piyush Srivastava:
A deterministic algorithm for counting colorings with 2Δ colors. - Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia:
From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. - Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun:
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model. - Mengzhuo Guo, Qingpeng Zhang, Xiuwu Liao, Youhua Chen:
An interpretable machine learning framework for modelling human decision behavior. - Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni:
Transcoding compositionally: using attention to find more generalizable solutions. - Rui Xia, Mengran Zhang, Zixiang Ding:
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. - Shuhei Kurita, Anders Søgaard:
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies. - Evandro Luquini, Nizam Omar:
Kinetic Market Model: An Evolutionary Algorithm. - Baoli Yin, Yang Liu, Hong Li, Zhimin Zhang:
Two families of novel second-order fractional numerical formulas and their applications to fractional differential equations. - Allen Nie, Erin D. Bennett, Noah D. Goodman:
Learning to Explain: Answering Why-Questions via Rephrasing. - Rafael A. García Leiva, Antonio Fernández Anta, Vincenzo Mancuso, Paolo Casari:
A Novel Hyperparameter-free Approach to Decision Tree Construction that Avoids Overfitting by Design. - Phong Le, Ivan Titov:
Boosting Entity Linking Performance by Leveraging Unlabeled Documents. - Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini:
On Expansions and Nodes for Sparse Grid Collocation of Lognormal Elliptic PDEs. - Jeremy Kawahara, Ghassan Hamarneh:
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance. - Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo:
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition. - Taejoon Kim, Yu Gu, Jinoh Kim:
A Hybrid Cache Architecture for Meeting Per-Tenant Performance Goals in a Private Cloud. - Chujie Zheng, Minlie Huang, Aixin Sun:
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test. - Rui Xia, Zixiang Ding:
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. - Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Exploiting Sentential Context for Neural Machine Translation. - Thomas W. Rogers, Nicolas Jaccard, Francis Carbonaro, Hans G. Lemij, Koenraad A. Vermeer, Nicolaas J. Reus, Sameer Trikha:
Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study. - A. K. M. Bahalul Haque, Sharaban Tahura Nisa, Md. Amdadul Bari, Ayvee Nusreen Anika:
Anonymity Network Tor and Performance Analysis of ARANEA; an IOT Based Privacy-Preserving Router. - Matteo Togninalli, M. Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck, Karsten M. Borgwardt:
Wasserstein Weisfeiler-Lehman Graph Kernels. - Weijia Shao, Christian Geißler, Fikret Sivrikaya:
Graduated Optimization of Black-Box Functions. - Maria Corkery, Yevgen Matusevych, Sharon Goldwater:
Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection. - Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen:
Lattice-Based Transformer Encoder for Neural Machine Translation. - A. K. M. Bahalul Haque:
Need for Critical Cyber Defence, Security Strategy and Privacy Policy in Bangladesh - Hype or Reality? - Jie Hu, Rongrong Ji, Shengchuan Zhang, Xiaoshuai Sun, Qixiang Ye, Chia-Wen Lin, Qi Tian:
Information Competing Process for Learning Diversified Representations. - Jingyi Hou, Xinxiao Wu, Yayun Qi, Wentian Zhao, Jiebo Luo, Yunde Jia:
Relational Reasoning using Prior Knowledge for Visual Captioning. - Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari:
Optimal Unsupervised Domain Translation. - Silvia Bertoluzza:
Algebraic representation of dual scalar products and stabilization of saddle point problems. - Ashwary Anand, Shubh Agrawal, Shivang Agrawal, Aman Chandra, Krishnakant Deshmukh:
Grid-based Localization Stack for Inspection Drones towards Automation of Large Scale Warehouse Systems. - Mayank Mittal, Rohit Mohan, Wolfram Burgard, Abhinav Valada:
Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue. - Guodong Ding, Salman H. Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli:
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification. - Miao Wang, Guo-Ye Yang, Ruilong Li, Runze Liang, Song-Hai Zhang, Peter M. Hall, Shi-Min Hu:
Example-Guided Style Consistent Image Synthesis from Semantic Labeling. - Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth:
How Large Are Lions? Inducing Distributions over Quantitative Attributes. - Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi, Marilyn A. Walker:
Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG. - Damien Desfontaines, Balázs Pejó:
SoK: Differential Privacies. - Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Color Constancy Convolutional Autoencoder. - Jinpeng Lin, Hao Yang, Dong Chen, Ming Zeng, Fang Wen, Lu Yuan:
Face Parsing with RoI Tanh-Warping. - Jihun Choi, Taeuk Kim, Sang-goo Lee:
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching. - Rui Zhang, Zheng Zhu, Peng Li, Rui Wu, Chaoxu Guo, Guan Huang, Hailun Xia:
Exploiting Offset-guided Network for Pose Estimation and Tracking. - Esmaeil Mohammadian Koruyeh, Shirin Haji Amin Shirazi, Khaled N. Khasawneh, Chengyu Song, Nael B. Abu-Ghazaleh:
SPECCFI: Mitigating Spectre Attacks using CFI Informed Speculation. - Alma D'Aniello, Alessandro De Luca:
Characteristic Parameters and Special Trapezoidal Words. - Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes:
End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On. - Andreas Orthey, Marc Toussaint:
Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications. - Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki:
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. - Zhun Deng, Cynthia Dwork, Jialiang Wang, Yao Zhao:
Architecture Selection via the Trade-off Between Accuracy and Robustness. - Prabha Mandayam, Krishna P. Jagannathan, Avhishek Chatterjee:
The Classical Capacity of a Quantum Erasure Queue-Channel. - Peng Li, Jiabin Zhang, Zheng Zhu, Yanwei Li, Lu Jiang, Guan Huang:
State-aware Re-identification Feature for Multi-target Multi-camera Tracking. - Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran:
NNE: A Dataset for Nested Named Entity Recognition in English Newswire. - Hardy, Shashi Narayan, Andreas Vlachos:
HighRES: Highlight-based Reference-less Evaluation of Summarization. - Shanka Subhra Mondal, Abhilash Nandy, Ritesh Agrawal, Debashis Sen:
KarNet: An Efficient Boolean Function Simplifier. - Manuel Bravo, Alexey Gotsman:
Reconfigurable Atomic Transaction Commit (Extended Version). - Gianluca Ceruti, Christian Lubich:
Time integration of symmetric and anti-symmetric low-rank matrices and Tucker tensors. - Meng Chen, Leevan Ling:
Kernel-based collocation methods for heat transport on evolving surfaces. - José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Relational Word Embeddings. - Vieri Giuliano Santucci, Gianluca Baldassarre, Emilio Cartoni:
Autonomous Reinforcement Learning of Multiple Interrelated Tasks. - Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. - Yuriy V. Pershin, V. A. Slipko:
Bifurcation analysis of a TaO memristor model. - Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang:
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning. - Luis García Ramos, Reinhard Nabben:
On Optimal Algebraic Multigrid Methods. - Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan:
A Comprehensive Study on Deep Learning Bug Characteristics. - Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks:
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks. - Martin Schmitt, Hinrich Schütze:
SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference. - Norimichi Ukita, Yusuke Uematsu:
Semi- and Weakly-supervised Human Pose Estimation. - Thaíse K. L. Costa, Liliane dos Santos Machado, Ana Maria Gondim Valença, Marco Winckler, Ronei Marcos de Moraes:
Pegadas: A Portal for Management and Activities Planning with Games and Environments for Education in Health. - Alban Laflaquière, Michaël Garcia Ortiz:
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction. - Armin Lederer, Jonas Umlauft, Sandra Hirche:
Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. - Hao Lu, Mengdi Wang:
RL4health: Crowdsourcing Reinforcement Learning for Knee Replacement Pathway Optimization. - Caleb Chuck, Supawit Chockchowwat, Scott Niekum:
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning. - Sergio Firmenich, Gabriela Bosetti, Gustavo Rossi, Marco Winckler, José María Corletto:
Distributed Web browsing: supporting frequent uses and opportunistic requirements. - Nicolas Bousserez, Jonathan J. Guerrette, Daven K. Henze:
Enhanced parallelization of the incremental 4D-Var data assimilation algorithm using the Randomized Incremental Optimal Technique (RIOT). - Satoshi Tsutsui, Dian Zhi, Md. Alimoor Reza, David J. Crandall, Chen Yu:
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study. - Thiago Rocha Silva, Jean-Luc Hak, Marco Winckler, Olivier Nicolas:
A Comparative Study of Milestones for Featuring GUI Prototyping Tools. - Gabriela Bosetti, Sergio Firmenich, Silvia E. Gordillo, Gustavo Rossi, Marco Winckler:
An End-User Development approach for Mobile Web Augmentation. - Tamer Abdelaziz, Aya Sedky, Bruno Rossi, Mostafa-Sami M. Mostafa:
Identification and Assessment of Software Design Pattern Violations. - Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber:
Interpreted Execution of Business Process Models on Blockchain. - Ramamonjy Andriamifidisoa, Rufine Marius Lalasoa, Toussaint Joseph Rabeherimanana:
A Dynamical System-based Key Equation for Decoding One-Point Algebraic-Geometry Codes. - Mansur Khazeev, Manuel Mazzara, Daniel de Carvalho, Hamna Aslam:
Towards A Broader Acceptance Of Formal Verification Tools: The Role Of Education. - Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar:
Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version). - Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan:
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice. - Himan Abdollahpouri:
Incorporating System-Level Objectives into Recommender Systems. - Tianyi Lin, Nhat Ho, Michael I. Jordan:
On the Acceleration of the Sinkhorn and Greenkhorn Algorithms for Optimal Transport. - Rocco Tripodi, Massimo Warglien, Simon Levis Sullam, Deborah Paci:
Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914. - NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai:
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. - Saurabh Agrawal, Saurabh Verma, Anuj Karpatne, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar:
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series. - Wei Zhang, Bairui Wang, Lin Ma, Wei Liu:
Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning. - Marco Buongiorno Nardelli:
MUSICNTWRK: data tools for music theory, analysis and composition. - Dorian Florescu, Matthew England:
Algorithmically generating new algebraic features of polynomial systems for machine learning. - Alexander Kampmann, Andreas Zeller:
Bridging the Gap between Unit Test Generation and System Test Generation. - Raul Gomez, Ali Furkan Biten, Lluís Gómez, Jaume Gibert, Marçal Rusiñol, Dimosthenis Karatzas:
Selective Style Transfer for Text. - Alexander Sasha Vezhnevets, Yuhuai Wu, Rémi Leblond, Joel Z. Leibo:
Options as responses: Grounding behavioural hierarchies in multi-agent RL. - Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk:
Evaluating Discourse in Structured Text Representations. - (Withdrawn) Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks.
- Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy:
PCA-driven Hybrid network design for enabling Intelligence at the Edge. - Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco:
Extrapolation Methods for fixed-point Multilinear PageRank computations. - Navid Rekabsaz, Nikolaos Pappas, James Henderson, Banriskhem K. Khonglah, Srikanth R. Madikeri:
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains. - Bonggun Shin, Julien Hogan, Andrew B. Adams, Raymond J. Lynch, Rachel E. Patzer, Jinho D. Choi:
Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission. - Telmo Pires, Eva Schlinger, Dan Garrette:
How multilingual is Multilingual BERT? - Matteo Fischetti, Matteo Stringher:
Embedded hyper-parameter tuning by Simulated Annealing. - Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas:
Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling. - Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. - Tian Shi, Ping Wang, Chandan K. Reddy:
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. - Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding:
Adaptive Region Embedding for Text Classification. - Piotr Niewinski, Aleksander Wawer, Maria Pszona, Maria Janicka:
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. - Filippo Bonchi, Robin Piedeleu, Pawel Sobocinski, Fabio Zanasi:
Bialgebraic Semantics for String Diagrams. - Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala:
Text-based Editing of Talking-head Video. - Oren Katzir, Dani Lischinski, Daniel Cohen-Or:
Cross-Domain Cascaded Deep Feature Translation. - Kevin Roth, Yannic Kilcher, Thomas Hofmann:
Adversarial Training Generalizes Data-dependent Spectral Norm Regularization. - Zhe Feng, David C. Parkes, Haifeng Xu:
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation. - Zhengwei Wang, Qi She, Tomas E. Ward:
Generative Adversarial Networks: A Survey and Taxonomy. - Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni, Raquel Fernández:
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue. - Joseph Moore:
Closed-Loop Control of a Delta-Wing Unmanned Aerial-Aquatic Vehicle. - Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao:
Visual Tree Convolutional Neural Network in Image Classification. - Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema:
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains. - Haohao Hu, Junyi Zhu, Sascha Wirges, Martin Lauer:
Localization in Aerial Imagery with Grid Maps using LocGAN. - Jordi Pont-Tuset, Michael Gygli, Vittorio Ferrari:
Natural Vocabulary Emerges from Free-Form Annotations. - Matthew Henderson, Ivan Vulic, Daniela Gerz, Iñigo Casanueva, Pawel Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
Training Neural Response Selection for Task-Oriented Dialogue Systems. - Eric Ngondiep:
A Novel Three-Level Time-Split MacCormack Method for Solving Two-Dimensional Viscous Coupled Burgers Equations. - Ramon Ferrer-i-Cancho, Christian Bentz:
Optimal coding and the origins of Zipfian laws. - Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. - Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian:
In-memory hyperdimensional computing. - Litu Rout, Priya Mariam Raju, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking. - Antonio Brogi, Davide Neri, Jacopo Soldani, Olaf Zimmermann:
Design principles, architectural smells and refactorings for microservices: A multivocal review. - Junkyung Kim, Drew Linsley, Kalpit Thakkar, Thomas Serre:
Disentangling neural mechanisms for perceptual grouping. - Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi:
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. - Sam Greydanus, Misko Dzamba, Jason Yosinski:
Hamiltonian Neural Networks. - Yuanfu Luo, Panpan Cai:
GAMMA: A General Agent Motion Prediction Model for Autonomous Driving. - Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images. - Benjamin Heinzerling, Michael Strube:
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation. - Avinash Madasu, Sivasankar Elango:
A Study of Feature Extraction techniques for Sentiment Analysis. - Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. - Manuel Schmidt-Kraepelin, Sebastian Lins, Scott Thiebes, Ali Sunyaev:
Gamification of Enterprise Systems: A Synthesis of Mechanics, Dynamics, and Risks. - Hoang-Son Pham, Gwendal Virlet, Dominique Lavenier, Alexandre Termier:
Statistically Significant Discriminative Patterns Searching. - Hari Govind V. K., Yakir Vizel, Vijay Ganesh, Arie Gurfinkel:
Interpolating Strong Induction. - Chu Wang, Marcello Pelillo, Kaleem Siddiqi:
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition. - William Merrill, Lenny Khazan, Noah Amsel, Yiding Hao, Simon Mendelsohn, Robert Frank:
Finding Syntactic Representations in Neural Stacks. - R. Ishwariya, John J. H. Miller, S. Valarmathi:
A parameter uniform essentially first order convergent numerical method for a parabolic singularly perturbed differential equation of reaction-diffusion type with initial and Robin boundary conditions. - Marco Bressan, Stefano Leucci, Alessandro Panconesi:
Motivo: fast motif counting via succinct color coding and adaptive sampling. - George Onoufriou, Ronald Bickerton, Simon Pearson, Georgios Leontidis:
Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems. - Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe:
Sparse Representation Classification via Screening for Graphs. - Sarabjot Singh:
On Provisioning Cellular Networks for Distributed Inference. - Chinnadhurai Sankar, Sandeep Subramanian, Christopher J. Pal, Sarath Chandar, Yoshua Bengio:
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. - William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit:
KERMIT: Generative Insertion-Based Modeling for Sequences. - Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
Transferable Neural Projection Representations. - Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann:
Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games. - William Merrill:
Sequential Neural Networks as Automata. - Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel:
Self-Attentional Models for Lattice Inputs. - Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein:
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. - Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. - Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber:
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. - Alex Irpan, Kanishka Rao, Konstantinos Bousmalis, Chris Harris, Julian Ibarz, Sergey Levine:
Off-Policy Evaluation via Off-Policy Classification. - Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
Encoding Invariances in Deep Generative Models. - Marco Attene, Silvia Biasotti, Silvia Bertoluzza, Daniela Cabiddu, Marco Livesu, Giuseppe Patanè, Micol Pennacchio, Daniele Prada, Michela Spagnuolo:
Benchmark of Polygon Quality Metrics for Polytopal Element Methods. - Maxime Gasse, Didier Chételat, Nicola Ferroni, Laurent Charlin, Andrea Lodi:
Exact Combinatorial Optimization with Graph Convolutional Neural Networks. - Alexandre Kircher, Laurent Bako, Eric Blanco, Mohamed Benallouch:
Resilient State Estimation for Discrete-Time Linear Systems. - Alexander Litvinenko, Dmitriy Logashenko, Raúl Tempone, Gabriel Wittum, David E. Keyes:
Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability. - Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni:
On the Realization of Compositionality in Neural Networks. - Magnus Stavngaard, August Sørensen, Stephan Lorenzen, Niklas Hjuler, Stephen Alstrup:
Detecting Ghostwriters in High Schools. - Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. - Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp:
Towards Lossless Encoding of Sentences. - William Merrill, Gigi Felice Stark, Robert Frank:
Detecting Syntactic Change Using a Neural Part-of-Speech Tagger. - Sarah Cannon, Will Perkins:
Counting independent sets in unbalanced bipartite graphs. - Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning. - Anastasios Kakkavas, Gonzalo Seco-Granados, Henk Wymeersch, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Josef A. Nossek:
5G Downlink Multi-Beam Signal Design for LOS Positioning. - Robert Wagner, Daniel E. Crispell, Patrick Feeney, Joe L. Mundy:
4-D Scene Alignment in Surveillance Video. - Christopher Griffin, Sarah Michele Rajtmajer, Anna Cinzia Squicciarini, Prasanna Umar:
Power Law Public Goods Game for Personal Information Sharing in News Comments. - Tal Gariby, Uri Erez:
On General Lattice Quantization Noise. - Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi:
Learning dynamic polynomial proofs. - Luyao Niu, Andrew Clark:
A Differentially Private Incentive Design for Traffic Offload to Public Transportation. - Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho:
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. - Samuel Läubli, Chantal Amrhein, Patrick Düggelin, Beatriz Gonzalez, Alena Zwahlen, Martin Volk:
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain. - Tamara G. Kolda, David Hong:
Stochastic Gradients for Large-Scale Tensor Decomposition. - Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg:
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change. - Maximilian Werhahn, You Xie, Mengyu Chu, Nils Thuerey:
A Multi-Pass GAN for Fluid Flow Super-Resolution. - Michael Matheny, Dong Xie, Jeff M. Phillips:
Scalable Spatial Scan Statistics for Trajectories. - Wachirawit Ponghiran, Gopalakrishnan Srinivasan, Kaushik Roy:
Reinforcement Learning with Low-Complexity Liquid State Machines. - Samin Aref, Zachary P. Neal:
Legislative effectiveness hangs in the balance: Studying balance and polarization through partitioning signed networks. - Yongjie Lin, Yi Chern Tan, Robert Frank:
Open Sesame: Getting Inside BERT's Linguistic Knowledge. - Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov:
Visual Fixations Duration as an Indicator of Skill Level in eSports. - Hongyin Luo, Lan Jiang, Yonatan Belinkov, James R. Glass:
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future. - Jakub Kuderski, Jorge A. Navas, Arie Gurfinkel:
Unification-based Pointer Analysis without Oversharing. - Alexandre Kircher, Laurent Bako, Eric Blanco, Mohamed Benallouch:
An optimization framework for resilient batch estimation in Cyber-Physical Systems. - Andrea Cangiani, Zhaonan Dong, Emmanuil H. Georgoulis:
hp-Version discontinuous Galerkin methods on essentially arbitrarily-shaped elements. - Chaitanya Poolla, Abraham K. Ishihara:
Nonlinear Equivalent Resistance-based Maximum Power Point Tracking (MPPT). - Krishan K. Tiwari, Eckhard Grass, John S. Thompson, Rolf Kraemer:
Memory-assisted Statistically-ranked RF Beam Training Algorithm for Sparse MIMO. - Meet P. Vadera, Benjamin M. Marlin:
Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty. - Naiereh Elyasi, Mehdi Hosseini Moghadam:
An Introduction to a New Text Classification and Visualization for Natural Language Processing Using Topological Data Analysis. - Tsvetomila Mihaylova, Georgi Karadjov, Pepa Atanasova, Ramy Baly, Mitra Mohtarami, Preslav Nakov:
SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. - Fabio Ramos, Rafael Carvalhaes Possas, Dieter Fox:
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators. - Ruibo Tu, Kun Zhang, Bo Christer Bertilson, Hedvig Kjellström, Cheng Zhang:
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation. - Dimitris Alikaniotis, Vipul Raheja:
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction. - Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong:
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms. - Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam:
Geo-Aware Networks for Fine Grained Recognition. - David Jurgens, Eshwar Chandrasekharan, Libby Hemphill:
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse. - Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich:
Balanced Ranking with Diversity Constraints. - Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev:
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. - Keiller Nogueira, Jocelyn Chanussot, Mauro Dalla Mura, William Robson Schwartz, Jefersson A. dos Santos:
An Introduction to Deep Morphological Networks. - Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan:
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. - Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan:
Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat. - Dennis Wei, Sanjeeb Dash, Tian Gao, Oktay Günlük:
Generalized Linear Rule Models. - Anjalie Field, Yulia Tsvetkov:
Entity-Centric Contextual Affective Analysis. - Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao Kenneth Huang:
Visual Story Post-Editing. - Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga:
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. - Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas:
Lifelong Learning with a Changing Action Set. - Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas:
Reinforcement Learning When All Actions are Not Always Available. - John Calvin Alumbaugh, Joshua J. Daymude, Erik D. Demaine, Matthew J. Patitz, Andréa W. Richa:
Simulation of Programmable Matter Systems Using Active Tile-Based Self-Assembly. - Feng Zhang, Wendong Wang, Jianwen Huang, Yao Wang, Jianjun Wang:
RIP-based performance guarantee for low-tubal-rank tensor recovery. - Teng Wang, Jun Zhao, Xinyu Yang, Xuebin Ren:
Locally Differentially Private Data Collection and Analysis. - Tongtong Xu, Liushan Chen, Yu Pei, Tian Zhang, Minxue Pan, Carlo A. Furia:
Restore: Retrospective Fault Localization Enhancing Automated Program Repair. - Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu:
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection. - Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang:
Learning to Compose and Reason with Language Tree Structures for Visual Grounding. - Kwok Cheung, Michael Huth, Laurence Kirk, Leif-Nissen Lundbæk, Rodolphe Marques, Jan Petsche:
Owner-centric sharing of physical resources, data, and data-driven insights in digital ecosystems. - Jalaj Bhandari, Daniel Russo:
Global Optimality Guarantees For Policy Gradient Methods. - Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao:
Learning Deep Transformer Models for Machine Translation. - He Bai, Yu Zhou, Jiajun Zhang, Chengqing Zong:
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference. - Chengyuan Zhang, Lei Zhu, Shichao Zhang:
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification. - Mingshang Hu, Lianzi Jiang:
Explicit θ-Schemes for Solving Anticipated Backward Stochastic Differential Equations. - Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. - Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng:
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks. - Chenhong Zhou, Changxing Ding, Xinchao Wang, Zhentai Lu, Dacheng Tao:
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation. - Yanliang Zhu, Deheng Qian, Dongchun Ren, Huaxia Xia:
StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology. - Pooja Gupta, Salil S. Kanhere, Raja Jurdak:
A Decentralized IoT Data Marketplace. - Min Chen, Yingying Jiang, Yong Cao, Albert Y. Zomaya:
CreativeBioMan: Brain and Body Wearable Computing based Creative Gaming System. - Long Hu, Wei Li, Jun Yang, Giancarlo Fortino, Min Chen:
A Sustainable Multi-modal Multi-layer Emotion-aware Service at the Edge. - Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin:
The Stanford Acuity Test: A Probabilistic Approach for Precise Visual Acuity Testing. - Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria:
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper). - Junyoung Park, Subin Yi, Yongseok Choi, Dong-Yeon Cho, Jiwon Kim:
Discriminative Few-Shot Learning Based on Directional Statistics. - Evan Hubinger, Chris van Merwijk, Vladimir Mikulik, Joar Skalse, Scott Garrabrant:
Risks from Learned Optimization in Advanced Machine Learning Systems. - Xiaofei Huang, Alaina Martens, Emily Zimmerman, Sarah Ostadabbas:
Infant Contact-less Non-Nutritive Sucking Pattern Quantification via Facial Gesture Analysis. - Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan:
CCMI : Classifier based Conditional Mutual Information Estimation. - Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec:
Data Sketching for Faster Training of Machine Learning Models. - Fei Gao, Hyunsoo Yoon, Teresa Wu, Xianghua Chu:
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging. - Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. - Ramy Baly, Alaa Khaddaj, Hazem M. Hajj, Wassim El-Hajj, Khaled Bashir Shaban:
ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets. - Sidra Malik, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak:
TrustChain: Trust Management in Blockchain and IoT supported Supply Chains. - Chen Wu, Xuancheng Ren, Fuli Luo, Xu Sun:
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer. - Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki:
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. - Hiroshi Sasaki, Miguel A. Arroyo, M. Tarek Ibn Ziad, Koustubha Bhat, Kanad Sinha, Simha Sethumadhavan:
Practical Byte-Granular Memory Blacklisting using Califorms. - Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin:
Improving Textual Network Embedding with Global Attention via Optimal Transport. - Amir Ziai:
Detecting Kissing Scenes in a Database of Hollywood Films. - Mike Thelwall:
Large publishing consortia produce higher citation impact research but co-author contributions are hard to evaluate. - Yusuke Mukuta, Tatsuaki Machida, Tatsuya Harada:
Compact Approximation for Polynomial of Covariance Feature. - Louis C. Tiao, Pantelis Elinas, Harrison Nguyen, Edwin V. Bonilla:
Variational Spectral Graph Convolutional Networks. - Yusuke Mukuta, Tatsuya Harada:
Invariant Tensor Feature Coding. - Martin Aumüller, Rasmus Pagh, Francesco Silvestri:
Fair Near Neighbor Search: Independent Range Sampling in High Dimensions. - Wataru Kawai, Yusuke Mukuta, Tatsuya Harada:
GRAM: Scalable Generative Models for Graphs with Graph Attention Mechanism. - Xingzhou Zhang, Yifan Wang, Sidi Lu, Liangkai Liu, Lanyu Xu, Weisong Shi:
OpenEI: An Open Framework for Edge Intelligence. - Alexander Fabisch, Christoph Petzoldt, Marc Otto, Frank Kirchner:
A Survey of Behavior Learning Applications in Robotics - State of the Art and Perspectives. - Luka Nenadovic, Vladimir Prelovac:
Deep learning based unsupervised concept unification in the embedding space. - Hamid Mirisaee, Éric Gaussier, Cédric Lagnier, Agnès Guerraz:
Terminology-based Text Embedding for Computing Document Similarities on Technical Content. - Kentaro Kanamori, Satoshi Hara, Masakazu Ishihata, Hiroki Arimura:
Enumeration of Distinct Support Vectors for Interactive Decision Making. - Xingzhou Zhang, Yifan Wang, Weisong Shi:
pCAMP: Performance Comparison of Machine Learning Packages on the Edges. - Jukka Ruohonen:
David and Goliath: Privacy Lobbying in the European Union. - Mohammad Ibrahim Sarker, Hyongsuk Kim:
Farm land weed detection with region-based deep convolutional neural networks. - Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks. - Mohammad Ibrahim Sarker, Yali Nie, Hong Yongki, Hyongsuk Kim:
Genetic Random Weight Change Algorithm for the Learning of Multilayer Neural Networks. - Rui Fan, Lujia Wang, Ming Liu, Ioannis Pitas:
A Robust Roll Angle Estimation Algorithm Based on Gradient Descent. - Min Chen, Ping Zhou, Di Wu, Long Hu, Mohammad Mehedi Hassan, Atif Alamri:
AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework. - Mohammad Ibrahim Sarker, Heechan Yang, Hyongsuk Kim:
Corn leaf detection using Region based convolutional neural network. - Eli Schwartz, Leonid Karlinsky, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Baby steps towards few-shot learning with multiple semantics. - Hongyu Li, Fan Zhu, Junhua Qiu:
Towards Document Image Quality Assessment: A Text Line Based Framework and A Synthetic Text Line Image Dataset. - Guillaume Ausset, Stéphan Clémençon, François Portier:
Empirical Risk Minimization under Random Censorship: Theory and Practice. - Kit Kuksenok, Andriy Martyniv:
Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples. - Geoffrey French, Timo Aila, Samuli Laine, Michal Mackiewicz, Graham D. Finlayson:
Consistency regularization and CutMix for semi-supervised semantic segmentation. - Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul:
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. - Theofilos Ioannidis, George Garbis, Kostis Kyzirakos, Konstantina Bereta, Manolis Koubarakis:
Evaluating Geospatial RDF stores Using the Benchmark Geographica 2. - Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, M. Tahar Kechadi:
Human Activity Recognition with Convolutional Neural Netowrks. - Seyed Mohammadreza Mohades Kasaei, Nuno Lau, Artur Pereira:
Comparison Study of Well-Known Inverted Pendulum Models for Balance Recovery in Humanoid Robot. - Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney:
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron. - Joseph Bullock, Miguel A. Luengo-Oroz:
Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts. - Tarcisio Mendes de Farias, Christophe Dessimoz:
Enhancing interoperable datasets with virtual links. - Anthony Chen, John Harwell, Maria L. Gini:
Maximizing Energy Battery Efficiency in Swarm Robotics. - David Marecek, Rudolf Rosa:
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions. - Katja Tuma, Danial Hosseini, Kyriakos Malamas, Riccardo Scandariato:
Inspection Guidelines to Identify Security Design Flaws. - Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman:
Grounded Human-Object Interaction Hotspots from Video (Extended Abstract). - Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. - Marcin Namysl, Iuliu Konya:
Efficient, Lexicon-Free OCR using Deep Learning. - Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Efficient Codebook and Factorization for Second Order Representation Learning. - Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen, Ulli Waltinger, Hinrich Schütze:
Generating Multi-Sentence Abstractive Summaries of Interleaved Texts. - Peter Kraft, Daniel Kang, Deepak Narayanan, Shoumik Palkar, Peter Bailis, Matei Zaharia:
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference. - Mark K. Ho, Joanna Korman, Thomas L. Griffiths:
The Computational Structure of Unintentional Meaning. - Xianxu Hou, Ke Sun, Linlin Shen, Guoping Qiu:
Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training. - Andre Viebke, Sabri Pllana, Suejb Memeti, Joanna Kolodziej:
Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures. - Sepehr Assadi, MohammadHossein Bateni, Vahab S. Mirrokni:
Distributed Weighted Matching via Randomized Composable Coresets. - Cynthia Rudin, David Carlson:
The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis. - Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann, Alexander Panchenko:
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings. - Fredrik Bagge Carlson:
Machine Learning and System Identification for Estimation in Physical Systems. - Frederik Harder, Matthias Bauer, Mijung Park:
Interpretable and Differentially Private Predictions. - Vien Minh Nguyen-Thanh, Lu Trong Khiem Nguyen, Timon Rabczuk, Xiaoying Zhuang:
A surrogate model for computational homogenization of elastostatics at finite strain using the HDMR-based neural network approximator. - Sujit Pramod Khanna, Alexander G. Ororbia II:
A Hybrid Algorithm for Metaheuristic Optimization. - Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li:
Visual Confusion Label Tree For Image Classification. - Mohammadreza Mohades Kasaei, Nuno Lau, Artur Pereira:
A Model-Based Balance Stabilization System for Biped Robot. - Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai:
Evaluating Explainers via Perturbation. - Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff:
Multi-way Encoding for Robustness. - Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang:
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. - Yifan Hu, Yefeng Zheng:
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage. - Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun:
Imitation Learning for Non-Autoregressive Neural Machine Translation. - Adrià Arbués Sangüesa, Coloma Ballester, Gloria Haro:
Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion. - Anubhavnidhi Abhashkumar, Aaron Gember-Jacobson, Aditya Akella:
Tiramisu: Fast and General Network Verification. - Mohammed Nabeel, Mohammed Ashraf, Satwik Patnaik, Vassos Soteriou, Ozgur Sinanoglu, Johann Knechtel:
An Interposer-Based Root of Trust: Seize the Opportunity for Secure System-Level Integration of Untrusted Chiplets. - Nikola Ljubesic, Darja Fiser, Tomaz Erjavec:
The FRENK Datasets of Socially Unacceptable Discourse in Slovene and English. - Nikola Ljubesic, Darja Fiser, Tomaz Erjavec:
KAS-term: Extracting Slovene Terms from Doctoral Theses via Supervised Machine Learning. - Andrea Munari, Federico Clazzer:
Modern Random Access for Beyond-5G Systems: a Multiple-Relay ALOHA Perspective. - Alexander Robertson, Luca Maria Aiello, Daniele Quercia:
The Language of Dialogue Is Complex. - Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras:
Neural Legal Judgment Prediction in English. - Oscar J. Romero, Sushma Anand Akoju:
Adroitness: An Android-based Middleware for Fast Development of High-performance Apps. - Oscar J. Romero:
Architectural Middleware that Supports Building High-performance, Scalable, Ubiquitous, Intelligent Personal Assistants. - Ivan Geffner, Joseph Y. Halpern:
Security in Asynchronous Interactive Systems. - Yeting Li, Haiming Chen, Xiaolan Zhang, Lingqi Zhang:
An Effective Algorithm for Learning Single Occurrence Regular Expressions with Interleaving. - Nitin Jain, Adrish Banerjee:
On Low Complexity RLL Code for Visible Light Communication. - David Calhas, Enrique Romero, Rui Henriques:
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations. - László Kudela, Stefan Kollmannsberger, Umut Almac, Ernst Rank:
Direct structural analysis of domains defined by point clouds. - Zhongyang Li, Tongfei Chen, Benjamin Van Durme:
Learning to Rank for Plausible Plausibility. - Eilon Sheetrit, Anna Shtok, Oren Kurland:
A Passage-Based Approach to Learning to Rank Documents. - Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
GOT: An Optimal Transport framework for Graph comparison. - Mohammad Asadzadeh, Larisa Beilina:
On stabilized P1 finite element approximation fortime harmonic Maxwell's equations. - Michael van Hartskamp, Sergio Consoli, Wim Verhaegh, Milan Petkovic, Anja van de Stolpe:
Artificial Intelligence in Clinical Health Care Applications: Viewpoint. - Toni Karvonen, Simo Särkkä:
Worst-case optimal approximation with increasingly flat Gaussian kernels. - Christopher Tosh, Daniel Hsu:
Diameter-based Interactive Structure Search. - Koen Helwegen, James Widdicombe, Lukas Geiger, Zechun Liu, Kwang-Ting Cheng, Roeland Nusselder:
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization. - Alexander Warnecke, Daniel Arp, Christian Wressnegger, Konrad Rieck:
Don't Paint It Black: White-Box Explanations for Deep Learning in Computer Security. - Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song:
Can Graph Neural Networks Help Logic Reasoning? - Brian Gaudet, Roberto Furfaro, Richard Linares:
A Guidance Law for Terminal Phase Exo-Atmospheric Interception Against a Maneuvering Target using Angle-Only Measurements Optimized using Reinforcement Meta-Learning. - Juntao Chen, Quanyan Zhu:
A Games-in-Games Approach to Mosaic Command and Control Design of Dynamic Network-of-Networks for Secure and Resilient Multi-Domain Operations. - João Paulo Aires, Roger Granada, Juarez Monteiro, Rodrigo C. Barros, Felipe Meneguzzi:
Classifying Norm Conflicts using Learned Semantic Representations. - Hongming Zhang, Hantian Ding, Yangqiu Song:
SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition. - Jieh-Sheng Lee, Jieh Hsiang:
PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model. - Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency:
Strong and Simple Baselines for Multimodal Utterance Embeddings. - Ryohto Sawada:
Extractive Summarization via Weighted Dissimilarity and Importance Aligned Key Iterative Algorithm. - Chen Qian, Lijie Wen, Mingsheng Long, Yanwei Li, Akhil Kumar, Jianmin Wang:
Process Extraction from Texts via Multi-Task Architecture. - Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue:
Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents. - Tunazzina Islam:
Ex-Twit: Explainable Twitter Mining on Health Data. - Jie Wang, Xinyan Zhao:
Theme-aware generation model for chinese lyrics. - Jie Wang, Yilin Yang:
Deep learning based mood tagging for Chinese song lyrics. - Laurent Romary, Mohamed Khemakhem, Anas Fahad Khan, Jack Bowers, Nicoletta Calzolari, Monte George, Mandy Pet, Piotr Banski:
LMF Reloaded. - Wendelin Böhmer, Tabish Rashid, Shimon Whiteson:
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning. - Shiqi Gao, Fuminori Okuya, Yoshihiro Kawahara, Yoshimasa Tsuruoka:
Building a Computer Mahjong Player via Deep Convolutional Neural Networks. - Oscar Thörn, Peter Fögel, Peter Knudsen, Luis de Miranda, Alessandro Saffiotti:
Anticipation in collaborative music performance using fuzzy systems: a case study. - Daniel L. Marino, Milos Manic:
Combining Physics-Based Domain Knowledge and Machine Learning using Variational Gaussian Processes with Explicit Linear Prior. - L. Elisa Celis, Vijay Keswani, Ozan Yildiz, Nisheeth K. Vishnoi:
Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework. - Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt:
A systematic framework for natural perturbations from videos. - Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen:
Estimating Feature-Label Dependence Using Gini Distance Statistics. - (Withdrawn) Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks.
- Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
A low-rank Schwarz method for radiative transport equation with heterogeneous scattering coefficient. - Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen:
Bayesian Active Learning With Abstention Feedbacks. - Huijuan Xu, Abir Das, Kate Saenko:
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection. - Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Ion Androutsopoulos:
Large-Scale Multi-Label Text Classification on EU Legislation. - Sarah Eberle, Bastian Harrach, Houcine Meftahi, Taher Rezgui:
Lipschitz stability estimate and reconstruction of Lamé parameters in linear elasticity. - Brendan Duke, Abdalla Ahmed, Edmund Phung, Irina Kezele, Parham Aarabi:
Nail Polish Try-On: Realtime Semantic Segmentation of Small Objects for Native and Browser Smartphone AR Applications. - Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien:
Gradient-Based Neural DAG Learning. - Jukka Ruohonen, Kai Kimppa:
Updating the Wassenaar Debate Once Again: Surveillance, Intrusion Software, and Ambiguity. - Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Domain Bridges. - Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran:
Extracting Symptoms and their Status from Clinical Conversations. - Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith:
Variational Pretraining for Semi-supervised Text Classification. - Emma Strubell, Ananya Ganesh, Andrew McCallum:
Energy and Policy Considerations for Deep Learning in NLP. - Izhak Shafran, Tom Bagby, R. J. Skerry-Ryan:
Complex Evolution Recurrent Neural Networks (ceRNNs). - Dmitry Kopitkov, Vadim Indelman:
General Purpose Incremental Covariance Update and Efficient Belief Space Planning via Factor-Graph Propagation Action Tree. - Maxime Meyer, Elizabeth A. Quaglia, Ben Smyth:
An Overview of GSMA's M2M Remote Provisioning Specification. - Keivan Alizadeh, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. - Tianxing Li, Zhi Yu, Edmund Phung, Brendan Duke, Irina Kezele, Parham Aarabi:
Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking. - Curtis McCord, Christoph Becker:
Sidewalk and Toronto: Critical Systems Heuristics and the Smart City. - Pin Wang, Hanhan Li, Ching-Yao Chan:
Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm. - Bowen Li, Lili Mou, Frank Keller:
An Imitation Learning Approach to Unsupervised Parsing. - Pin Wang, Tianyu Shi, Chonghao Zou, Long Xin, Ching-Yao Chan:
A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control. - Sridhar Adepu, Venkata Reddy Palleti, Gyanendra Mishra, Aditya Mathur:
Investigation of Cyber Attacks on a Water Distribution System. - Laura D'Arcy, Padraig Corcoran, Alun D. Preece:
Deep Q-Learning for Directed Acyclic Graph Generation. - Fabian Balsiger, Yannick Soom, Olivier Scheidegger, Mauricio Reyes:
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation. - Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana:
Enhancing Gradient-based Attacks with Symbolic Intervals. - Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SParC: Cross-Domain Semantic Parsing in Context. - Diego Ferigo, Silvio Traversaro, Francesco Romano, Daniele Pucci:
A Generic Synchronous Dataflow Architecture to Rapidly Prototype and Deploy Robot Controllers. - Radwa El Shawi, Mohamed Maher, Sherif Sakr:
Automated Machine Learning: State-of-The-Art and Open Challenges. - Daniel Barath, Jiri Matas:
Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm. - Cong Ye, Konstantinos Slavakis, Pratik V. Patil, Sarah Feldt Muldoon, John D. Medaglia:
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian. - Daniel Barath, Maksym Ivashechkin, Jiri Matas:
Progressive NAPSAC: sampling from gradually growing neighborhoods. - Lichao Sun, Albert C. Chen, Philip S. Yu, Wei Chen:
Self-Activation Influence Maximization. - Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic:
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning. - (Withdrawn) Private Deep Learning with Teacher Ensembles.
- Kazufumi Ito, Christoph Reisinger, Yufei Zhang:
A neural network based policy iteration algorithm with global H2-superlinear convergence for stochastic games on domains. - Tyler Sypherd, Mario Díaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy:
A Tunable Loss Function for Classification. - Alan Kuhnle:
A Note on Submodular Maximization over Independence Systems. - Alexander Broad, Todd D. Murphey, Brenna D. Argall:
Highly Parallelized Data-driven MPC for Minimal Intervention Shared Control. - Jun Wu, Jingrui He, Jiejun Xu:
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. - Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Devin Reich, Ariel Todoki:
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection. - Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Context Attentive Document Ranking and Query Suggestion. - Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Joshua B. Tenenbaum:
Finding Friend and Foe in Multi-Agent Games. - Wyverson Bonasoli de Oliveira, Leyza Baldo Dorini, Rodrigo Minetto, Thiago Henrique Silva:
OutdoorSent: Sentiment Analysis of Urban Outdoor Images by Using Semantic and Deep Features. - Norman Mu, Justin Gilmer:
MNIST-C: A Robustness Benchmark for Computer Vision. - Diego P. Tsutsumi, Amanda T. Fenerich, Thiago H. Silva:
Towards Business Partnership Recommendation Using User Opinion on Facebook. - Shayan Zamani, Hadi Hemmati:
Revisiting Hyper-Parameter Tuning for Search-based Test Data Generation. - Ryan Feng, Youngsun Kim, Gilwoo Lee, Ethan K. Gordon, Matt Schmittle, Shivaum Kumar, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
Robot-Assisted Feeding: Generalizing Skewering Strategies across Food Items on a Realistic Plate. - Bingcong Li, Meng Ma, Georgios B. Giannakis:
On the Convergence of SARAH and Beyond. - Yi Ren, Donald Goldfarb:
Efficient Subsampled Gauss-Newton and Natural Gradient Methods for Training Neural Networks. - Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh:
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise. - Nisansa de Silva:
Survey on Publicly Available Sinhala Natural Language Processing Tools and Research. - Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. - Gururaj Saileshwar, Moinuddin K. Qureshi:
Lookout for Zombies: Mitigating Flush+Reload Attack on Shared Caches by Monitoring Invalidated Lines. - Zheng-Jun Zha, Daqing Liu, Hanwang Zhang, Yongdong Zhang, Feng Wu:
Context-Aware Visual Policy Network for Fine-Grained Image Captioning. - Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos:
A Statistical Density-Based Analysis of Graph Clustering Algorithm Performance. - Yuliang Liu, Sheng Zhang, Lianwen Jin, Lele Xie, Yaqiang Wu, Zhepeng Wang:
Omnidirectional Scene Text Detection with Sequential-free Box Discretization. - Xiaoyu Xiang, Renee Jessome, Eric Maggard, Yousun Bang, Minki Cho, Jan P. Allebach:
Blockwise Based Detection of Local Defects. - Valerio Di Carlo, Federico Bianchi, Matteo Palmonari:
Training Temporal Word Embeddings with a Compass. - Masato Tajima:
Non-Linear Estimation of Convolutionally Encoded Sequences. - Zhaojian Wang, Feng Liu, Changhong Zhao, Zhiyuan Ma, Wei Wei:
Distributed Optimal Load Frequency Control Considering Nonsmooth Cost Functions. - Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li:
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. - Kaiwen Li, Tao Zhang, Rui Wang:
Deep Reinforcement Learning for Multi-objective Optimization. - Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu:
Multi-view Knowledge Graph Embedding for Entity Alignment. - Yaoyuan Wang, Shuang Wu, Ziyang Zhang, Lei Tian, Luping Shi:
Stochastic Sparse Learning with Momentum Adaptation for Imprecise Memristor Networks. - Christopher Berry, Donald J. Bucci, Samuel Watt Schmidt:
Passive Multi-Target Tracking Using the Adaptive Birth Intensity PHD Filter. - Christopher Berry, Donald J. Bucci:
Obstructed Target Tracking in Urban Environments. - Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng:
Query-efficient Meta Attack to Deep Neural Networks. - Alireza Abedin Varamin, Seyed Hamid Rezatofighi, Qinfeng Shi, Damith Chinthana Ranasinghe:
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks. - Hosein Taghaddos, Ali Mashayekhi, Behnam Sherafat:
Automation of Construction Quantity Take-Off: Using Building Information Modeling (BIM). - Evgeny Kim, Roman Klinger:
An Analysis of Emotion Communication Channels in Fan Fiction: Towards Emotional Storytelling. - Fushan Li, Michael Bowling:
Ease-of-Teaching and Language Structure from Emergent Communication. - Md Shahzamal, Raja Jurdak, Bernard Mans, Frank de Hoog:
Indirect interactions influence contact network structure and diffusion dynamics. - Aria Ameri, Arindam Bose, Mojtaba Soltanalian:
Comprehensive Personalized Ranking Using One-Bit Comparison Data. - Vinícius Ribeiro, Sandra Avila, Eduardo Valle:
Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation. - Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dylan Sleeper, Andrew Tsai, Madeline Wong:
Zorro: A Model Agnostic System to Price Consumer Data. - Shadab Khan, Ahmed H. Shahin, Javier Villafruela, Jianbing Shen, Ling Shao:
Extreme Points Derived Confidence Map as a Cue For Class-Agnostic Segmentation Using Deep Neural Network. - Matthias Grezet, Thomas Westerbäck, Ragnar Freij-Hollanti, Camilla Hollanti:
Uniform Minors in Maximally Recoverable Codes. - Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-guided Continual Learning with Bayesian Neural Networks. - Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul:
One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. - Yiming Yan, Melissa Ailem, Fei Sha:
Amortized Inference of Variational Bounds for Learning Noisy-OR. - Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Viraj Salaka Gamage, Menuka Warushavithana, Amal Shehan Perera:
Shift-of-Perspective Identification Within Legal Cases. - Cho-Ying Wu, Jian-Jiun Ding:
Nonconvex Approach for Sparse and Low-Rank Constrained Models with Dual Momentum. - Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma:
Complete Dictionary Learning via 𝓁4-Norm Maximization over the Orthogonal Group. - Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis:
Primal-Dual Block Frank-Wolfe. - Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. - Ayon Sen, Xiaojin Zhu, Liam Marshall, Robert D. Nowak:
Should Adversarial Attacks Use Pixel p-Norm? - Yong Cheng, Lu Jiang, Wolfgang Macherey:
Robust Neural Machine Translation with Doubly Adversarial Inputs. - (Withdrawn) Fault Diagnosis of Rotary Machines using Deep Convolutional Neural Network with three axis signal input.
- Payam Siyari, Bistra Dilkina, Constantine Dovrolis:
Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences. - Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation. - Biyuan Xie, Qi Zhang, Jiayin Qin:
Joint Optimization of Cooperative Communication and Computation in Two-Way Relay MEC Systems. - Xiao Ma, Shen-Yi Zhao, Wu-Jun Li:
Clustered Reinforcement Learning. - Amir Ziai:
Kinematic & Dynamic Analysis of the Human Upper Limb Using the Theory of Screws. - Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Unsupervised Pivot Translation for Distant Languages. - Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao:
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering. - Huifang Ma, Yue Wang, Li Tang, Sarath Kodagoda, Rong Xiong:
Towards navigation without precise localization: Weakly supervised learning of goal-directed navigation cost map. - Jie An, Haoyi Xiong, Jinwen Ma, Jiebo Luo, Jun Huan:
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks. - Tilman Klaeger, Andre Schult, Lukas Oehm:
Using anomaly detection to support classification of fast running (packaging) processes. - Sinisa Druzeta, Stefan Ivic, Luka Grbcic, Ivana Lucin:
Introducing languid particle dynamics to a selection of PSO variants. - Dominik Schlechtweg, Cennet Oguz, Sabine Schulte im Walde:
Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling. - Miranda C. N. Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan, Taco S. Cohen, Max Welling:
Covariance in Physics and Convolutional Neural Networks. - Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari:
Efficient Full-Rank Spatial Covariance Estimation Using Independent Low-Rank Matrix Analysis for Blind Source Separation. - Jonathan Grizou:
The Open Vault Challenge - Learning how to build calibration-free interactive systems by cracking the code of a vault. - Thiparat Chotibut, Fryderyk Falniowski, Michal Misiurewicz, Georgios Piliouras:
The route to chaos in routing games: Population increase drives period-doubling instability, chaos & inefficiency with Price of Anarchy equal to one. - Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis:
Optimized Deployment of Millimeter Wave Networks for In-venue Regions with Stochastic Users' Orientation. - Markus Hanselmann, Thilo Strauss, Katharina Dormann, Holger Ulmer:
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data. - Annika Meyer, Jonas Walter, Martin Lauer, Christoph Stiller:
Anytime Lane-Level Intersection Estimation Based on Trajectories. - Zhu Zhang, Zhijie Lin, Zhou Zhao, Zhenxin Xiao:
Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos. - Johann Knechtel, Satwik Patnaik, Ozgur Sinanoglu:
3D Integration: Another Dimension Toward Hardware Security. - Alex Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo J. Rezende:
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents. - Yanyan Wang, Qun Chen, Jiquan Shen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li:
Gradual Machine Learning for Aspect-level Sentiment Analysis. - Federico López, Benjamin Heinzerling, Michael Strube:
Fine-Grained Entity Typing in Hyperbolic Space. - Tomás Musil, Jonás Vidra, David Marecek:
Derivational Morphological Relations in Word Embeddings. - Pavel Hrubes:
On the distribution of runners on a circle. - Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian:
What you need is a more professional teacher. - Audrey Wilmet, Tiphaine Viard, Matthieu Latapy, Robin Lamarche-Perrin:
Degree-based Outlier Detection within IP Traffic Modelled as a Link Stream. - Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi:
Cross-Lingual Training for Automatic Question Generation. - Tie Liu, Mai Xu, Zulin Wang:
Removing Rain in Videos: A Large-scale Database and A Two-stream ConvLSTM Approach. - Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, Jian Lu:
Boosting Operational DNN Testing Efficiency through Conditioning. - Faisal Alamri, Nicolas Pugeault:
Contextual Relabelling of Detected Objects. - Marc Riera, José-María Arnau, Antonio González:
(Pen-) Ultimate DNN Pruning. - Ulrik Skre Fjordholm, Kjetil O. Lye, Siddhartha Mishra, Franziska Weber:
Statistical solutions of hyperbolic systems of conservation laws: numerical approximation. - Francisco Lázaro, Alexandre Graell i Amat, Gianluigi Liva, Balázs Matuz:
Symbol Message Passing Decoding of Nonbinary Low-Density Parity-Check Codes. - Qiang Zhou, Xin Li:
STN-Homography: estimate homography parameters directly. - Audrey Wilmet, Robin Lamarche-Perrin:
Multidimensional Outlier Detection in Temporal Interaction Networks: An Application to Political Communication on Twitter. - Zhenfang Chen, Lin Ma, Wenhan Luo, Kwan-Yee K. Wong:
Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video. - Ji Sun, Guoliang Li:
An End-to-End Learning-based Cost Estimator. - Osama Haq, Cody Doucette, John W. Byers, Fahad R. Dogar:
Judicious QoS using Cloud Overlays. - Prajit Dhar, Janis Pagel, Lonneke van der Plas:
Measuring the compositionality of noun-noun compounds over time. - Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych:
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains. - Refik Tanju Sirmen, Burak Berk Üstündag:
An Information-Theoretical Approach to the Information Capacity and Cost-Effectiveness Evaluation of Color Palettes. - Felix Wiewel, Bin Yang:
Localizing Catastrophic Forgetting in Neural Networks. - Abubakar Abid, Ali Abdalla, Ali Abid, Dawood Khan, Abdulrahman Alfozan, James Y. Zou:
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild. - Michal Kupsa:
On typical encodings of multivariate ergodic sources. - Jun Ming Li, Ching Wen Chen, Teng-Hu Cheng:
Estimation and Tracking of a Moving Target by Unmanned Aerial Vehicles. - Rana Ali Amjad, Bernhard C. Geiger:
Class-Conditional Compression and Disentanglement: Bridging the Gap between Neural Networks and Naive Bayes Classifiers. - Peilin Chen, Hai Wan, Shaowei Cai, Weilin Luo, Jia Li:
Combining Reinforcement Learning and Configuration Checking for Maximum k-plex Problem. - Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A. Weis, Kevin Swersky, Toniann Pitassi, Richard S. Zemel:
Flexibly Fair Representation Learning by Disentanglement. - Hussein Alrubaye, Mohamed Wiem Mkaouer, Ali Ouni:
On the Use of Information Retrieval to Automate the Detection of Third-Party Java Library Migration at the Method Level. - Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay:
Quaternion Collaborative Filtering for Recommendation. - Hengameh Mirzaalian, Mohamed E. Hussein, Wael Abd-Almageed:
On the Effectiveness of Laser Speckle Contrast Imaging and Deep Neural Networks for Detecting Known and Unknown Fingerprint Presentation Attacks. - Wei Xu, Haowei Gu, Fu Zhang:
Acceleration Based Iterative Learning Control for Pugachev's Cobra Maneuver with Quadrotor Tail-sitter VTOL UAVs. - Dmitry S. Kulyabov, Anna V. Korolkova, Leonid A. Sevastianov:
New Features in the Second Version of the Cadabra Computer Algebra System. - Matthew Dobson, Yao Li, Jiayu Zhai:
An efficient data-driven solver for Fokker-Planck equations: algorithm and analysis. - Yifeng Fan, Zhizhen Zhao:
Multi-Frequency Vector Diffusion Maps. - Yanan Li, Xuebin Ren, Shusen Yang, Xinyu Yang:
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis. - Raphael Gontijo Lopes, Dong Yin, Ben Poole, Justin Gilmer, Ekin D. Cubuk:
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation. - Shengchao Liu, Dimitris S. Papailiopoulos, Dimitris Achlioptas:
Bad Global Minima Exist and SGD Can Reach Them. - Laure Prétet, Romain Hennequin, Jimena Royo-Letelier, Andrea Vaglio:
Singing voice separation: a study on training data. - Kalpesh Krishna, Mohit Iyyer:
Generating Question-Answer Hierarchies. - Wanxin Li, Mark M. Nejad, Rui Zhang:
A Blockchain-Based Architecture for Traffic Signal Control Systems. - Rafael Müller, Simon Kornblith, Geoffrey E. Hinton:
When Does Label Smoothing Help? - Dirk Weissenborn, Oscar Täckström, Jakob Uszkoreit:
Scaling Autoregressive Video Models. - Robert Donnelly, Francisco J. R. Ruiz, David M. Blei, Susan Athey:
Counterfactual Inference for Consumer Choice Across Many Product Categories. - Sariel Har-Peled, Sepideh Mahabadi:
Near Neighbor: Who is the Fairest of Them All? - Matthew Rahtz, James Fang, Anca D. Dragan, Dylan Hadfield-Menell:
An Extensible Interactive Interface for Agent Design. - Zhuan Khye Koh, Laura Sanità:
An Efficient Characterization of Submodular Spanning Tree Games. - S. Rasoul Etesami:
A Unifying Optimal Control Framework for Online Job Scheduling with General Cost Functions. - Ali Hooshmand, Ratnesh Sharma:
Energy Predictive Models with Limited Data using Transfer Learning. - Ping Xu, Cameron Nowzari, Zhi Tian:
A Class of Distributed Event-Triggered Average Consensus Algorithms for Multi-Agent Systems. - Guoquan Paul Huang:
Visual-Inertial Navigation: A Concise Review. - Nika Haghtalab, Cameron Musco, Bo Waggoner:
Toward a Characterization of Loss Functions for Distribution Learning. - Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig:
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. - Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten:
Does Object Recognition Work for Everyone? - Manolis Antonoyiannakis:
How a Single Paper Affects the Impact Factor: Implications for Scholarly Publishing. - Gal Levy-Fix, Gilad J. Kuperman, Noémie Elhadad:
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions. - Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev, Evgenya Romanenkova, Ksenia Antipova, Igor Simon, Victor Makarov, Dmitry A. Koroteev:
Failures detection at directional drilling using real-time analogues search. - Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell:
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning. - Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti:
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. - Diederik P. Kingma, Max Welling:
An Introduction to Variational Autoencoders. - Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft:
Deep Semi-Supervised Anomaly Detection. - Malte J. Rasch, Tayfun Gokmen, Wilfried Haensch:
Training large-scale ANNs on simulated resistive crossbar arrays. - Yifeng Fan, Tingran Gao, Zhizhen Zhao:
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. - Andy Coenen, Emily Reif, Ann Yuan, Been Kim, Adam Pearce, Fernanda B. Viégas, Martin Wattenberg:
Visualizing and Measuring the Geometry of BERT. - Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar:
Adaptive Gradient-Based Meta-Learning Methods. - Jie Cai, Zibo Meng, Ahmed-Shehab Khan, Zhiyuan Li, James O'Reilly, Shizhong Han, Ping Liu, Min Chen, Yan Tong:
Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild. - Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta:
3D-RelNet: Joint Object and Relational Network for 3D Prediction. - Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Peer-Timo Bremer:
A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis. - Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare:
DeepMDP: Learning Continuous Latent Space Models for Representation Learning. - Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao:
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. - Georgia Gkioxari, Jitendra Malik, Justin Johnson:
Mesh R-CNN. - Keenan Albee, Monica Ekal, Rodrigo Ventura, Richard Linares:
Combining Parameter Identification and Trajectory Optimization: Real-time Planning for Information Gain. - Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu:
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. - Tosin P. Adewumi, Marcus Liwicki:
Mr and Professor. - Patrick Nadeem Ward, Ariella Smofsky, Avishek Joey Bose:
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies. - Eleni C. Akrida, Argyrios Deligkas, Themistoklis Melissourgos, Paul G. Spirakis:
Connected Subgraph Defense Games. - Alexander Peysakhovich, Christian Kroer:
Fair Division Without Disparate Impact. - Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath:
Learning in Gated Neural Networks. - Ishay Be'ery, Nir Raviv, Tomer Raviv, Yair Be'ery:
Active Deep Decoding of Linear Codes. - Ernesto Cáceres, Johnny Guzmán, Maxim A. Olshanskii:
New stability estimates for an unfitted finite element method for two-phase Stokes problem. - Nader Akoury, Kalpesh Krishna, Mohit Iyyer:
Syntactically Supervised Transformers for Faster Neural Machine Translation. - Chieh-Yang Huang, Yi-Ting Huang, Mei-Hua Chen, Lun-Wei Ku:
From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences. - Antti Hietanen, Jyrki Latokartano, Alessandro Foi, Roel Pieters, Ville Kyrki, Minna Lanz, Joni-Kristian Kämäräinen:
Benchmarking 6D Object Pose Estimation for Robotics. - Andrea Bonito, Alan Demlow, Ricardo H. Nochetto:
Finite Element Methods for the Laplace-Beltrami Operator. - Zlatan Ajanovic, Halil Beglerovic, Bakir Lacevic:
A novel approach to model exploration for value function learning. - Tobias Kleinert, Veit Hagenmeyer:
Flat Hybrid Automata as a Class of Reachable Systems: Introductory Theory and Examples. - Manjot Bilkhu, Siyang Wang, Tushar Dobhal:
Attention is all you need for Videos: Self-attention based Video Summarization using Universal Transformers. - Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
FSPool: Learning Set Representations with Featurewise Sort Pooling. - Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady:
Stochasticity and Robustness in Spiking Neural Networks. - René Haberland, Sergey Ivanovskiy:
Dynamically Allocated Memory Verification in Object-Oriented Programs using Prolog. - Mahdi Maktab Dar Oghaz, Manzoor Razaak, Hamideh Kerdegari, Vasileios Argyriou, Paolo Remagnino:
Scene and Environment Monitoring Using Aerial Imagery and Deep Learning. - Long Xin, Pin Wang, Ching-Yao Chan, Jianyu Chen, Shengbo Eben Li, Bo Cheng:
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks. - Juan C. Perdomo, Yaron Singer:
Robust Attacks against Multiple Classifiers. - Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Chen, John R. Anderson:
Tensor Processing Units for Financial Monte Carlo. - Robert Dupre, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnino:
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy. - Andrei Kapishnikov, Tolga Bolukbasi, Fernanda B. Viégas, Michael Terry:
Segment Integrated Gradients: Better attributions through regions. - Yu Liu, Li Deng, Jianshu Chen, Chang Wen Chen:
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation. - Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang:
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications. - Zheheng Jiang, Zhihua Liu, Long Chen, Lei Tong, Xiangrong Zhang, Xiangyuan Lan, Danny Crookes, Ming-Hsuan Yang, Huiyu Zhou:
Detection and Tracking of Multiple Mice Using Part Proposal Networks. - R. Stuart Geiger, Yoon Jung Jeong, Emily Manders:
Black-boxing the user: internet protocol over xylophone players (IPoXP). - Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba:
How to make a pizza: Learning a compositional layer-based GAN model. - Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras:
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. - Ashish Sinha, Jose Dolz:
Multi-scale guided attention for medical image segmentation. - Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Figure Captioning with Reasoning and Sequence-Level Training. - Longlong Jing, Elahe Vahdani, Matt Huenerfauth, Yingli Tian:
Recognizing American Sign Language Manual Signs from RGB-D Videos. - Md Shahzamal:
Diffusion on dynamic contact networks with indirect transmission links. - Joe Mathai, Iacopo Masi, Wael AbdAlmageed:
Does Generative Face Completion Help Face Recognition? - Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen:
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer. - Yifu Zhang, Jorge Cortés:
Distributed bilayered control for transient frequency safety and system stability in power grids. - Sepehr Eghbali, Ladan Tahvildari:
Deep Spherical Quantization for Image Search. - Mingjia Huo, Kewen Wu, Qi Ye:
A Note on Lower Digits Extraction Polynomial for Bootstrapping. - Katherine A. Keith, Amanda Stent:
Modeling financial analysts' decision making via the pragmatics and semantics of earnings calls. - Minsu Cho, Mohammadreza Soltani, Chinmay Hegde:
One-Shot Neural Architecture Search via Compressive Sensing. - Daniel Russo:
Worst-Case Regret Bounds for Exploration via Randomized Value Functions. - Yifan Ou, Reza Samavi:
Mixed Strategy Game Model Against Data Poisoning Attacks. - Urmish Thakker, Jesse G. Beu, Dibakar Gope, Chu Zhou, Igor Fedorov, Ganesh Dasika, Matthew Mattina:
Compressing RNNs for IoT devices by 15-38x using Kronecker Products. - Hussein Alrubaye, Mohamed Wiem Mkaouer, Igor Khokhlov, Leon Reznik, Ali Ouni, Jason Mcgoff:
Learning to Recommend Third-Party Library Migration Opportunities at the API Level. - Pulak Purkait, Christopher Zach, Ian D. Reid:
Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions. - Paul C. Castro, Vatche Ishakian, Vinod Muthusamy, Aleksander Slominski:
The server is dead, long live the server: Rise of Serverless Computing, Overview of Current State and Future Trends in Research and Industry. - Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu:
Visually Grounded Neural Syntax Acquisition. - Walt Woods, Jack Chen, Christof Teuscher:
Reliable Classification Explanations via Adversarial Attacks on Robust Networks. - Yitong Li, Timothy Baldwin, Trevor Cohn:
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. - Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens:
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. - Yue He, Zheyan Shen, Peng Cui:
NICO: A Dataset Towards Non-I.I.D. Image Classification. - Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer:
Compositional Questions Do Not Necessitate Multi-hop Reasoning. - Yanfang Mo, Wei Chen, Li Qiu, Pravin Varaiya:
Market Implementation of Multiple-Arrival Multiple-Deadline Differentiated Energy Services. - Dmitrii Suvorov, Vladimir Ulyantsev:
Smart Contract Design Meets State Machine Synthesis: Case Studies. - Wei Wen, Feng Yan, Hai Helen Li:
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. - Nathan R. Sturtevant, Malte Helmert:
Exponential-Binary State-Space Search. - Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci:
Conditional Neural Style Transfer with Peer-Regularized Feature Transform. - Robin Senge, Juan José del Coz, Eyke Hüllermeier:
Rectifying Classifier Chains for Multi-Label Classification. - Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi:
Multi-hop Reading Comprehension through Question Decomposition and Rescoring. - Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh, Ashwin V. Kuruttukulam, Cornelia Fermüller, Davide Scaramuzza, Yiannis Aloimonos:
EVDodge: Embodied AI For High-Speed Dodging On A Quadrotor Using Event Cameras. - Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Reinforcement Learning under Drift. - Yang Gao, Christian M. Meyer, Iryna Gurevych:
Preference-based Interactive Multi-Document Summarisation. - Inwan Yoo, Donggeun Yoo, Kyunghyun Paeng:
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations. - Dmitry Dmitrishin, Alexander M. Stokolos, I. Skrynnik, E. Iacob:
Predictive control generalization for nonlinear discrete dynamical systems. - Miguel A. Fortuna:
Please, no more scientific journals! The strategy of the scientific publication system. - (Withdrawn) Software Ethology: An Accurate and Resilient Semantic Binary Analysis Framework.
- Tetsunao Matsuta, Tomohiko Uyematsu:
Coding Theorems for Asynchronous Slepian-Wolf Coding Systems. - Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani:
Compositional Abstraction-based Synthesis of General MDPs via Approximate Probabilistic Relations. - Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao:
Inductive Bias of Gradient Descent based Adversarial Training on Separable Data. - Ruo Li, Xiaohua Zhang:
A Finite Volume Scheme for Savage-Hutter Equations on Unstructured Grids. - Rui Fan, Jianhao Jiao, Haoyang Ye, Yang Yu, Ioannis Pitas, Ming Liu:
Key Ingredients of Self-Driving Cars. - Trieu H. Trinh, Minh-Thang Luong, Quoc V. Le:
Selfie: Self-supervised Pretraining for Image Embedding. - Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha:
Learning Classifier Synthesis for Generalized Few-Shot Learning. - Simon Meyer Lauritsen, Mads Ellersgaard Kalør, Emil Lund Kongsgaard, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson:
Early detection of sepsis utilizing deep learning on electronic health record event sequences. - Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
On Pattern Setups and Pattern Multistructures. - Alexander Poth, Quirin Beck, Andreas Riel:
Artificial Intelligence helps making Quality Assurance processes leaner. - Xudong Sun, Yu Wang, Alexej Gossmann, Bernd Bischl:
Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks. - Thierry Gallouët, Raphaèle Herbin, Jean-Claude Latché:
On The Weak Consistency of Finite Volumes Schemes for Conservation Laws on General Meshes. - Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra:
Audio tagging with noisy labels and minimal supervision. - Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, Sabine Schulte im Walde:
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains. - Mital Kinderkhedia:
Learning Representations of Graph Data - A Survey. - Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Beat Blum, Thomas Walser, Vinzenz Meier, Zeno Stanga, Stavroula G. Mougiakakou:
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients. - Gabriel Turinici:
Stochastic learning control of inhomogeneous quantum ensembles. - Mingshuo Han, Wenhai Liu, Zhenyu Pan, Teng Xue, Quanquan Shao, Jin Ma, Weiming Wang:
Object-Agnostic Suction Grasp Affordance Detection in Dense Cluster Using Self-Supervised Learning.docx. - Ermanno Pietrosemoli, Marco Rainone, Marco Zennaro:
On Extending the Wireless Communications Range of Weather Stations using LoRaWAN. - Benjamin Hilprecht, Martin Härterich, Daniel Bernau:
Reconstruction and Membership Inference Attacks against Generative Models. - Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee:
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. - Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel:
RankQA: Neural Question Answering with Answer Re-Ranking. - Alexander Linke, Christian Merdon, Michael Neilan:
Pressure-robustness in quasi-optimal a priori estimates for the Stokes problem. - Juliana Alves Pereira, Hugo Martin, Mathieu Acher, Jean-Marc Jézéquel, Goetz Botterweck, Anthony Ventresque:
Learning Software Configuration Spaces: A Systematic Literature Review. - Kilian Pfeiffer, Alexander Hermans, István Sárándi, Mark Weber, Bastian Leibe:
Visual Person Understanding through Multi-Task and Multi-Dataset Learning. - Daxin Nie, Jing Sun, Weihua Deng:
Numerical algorithm for the space-time fractional Fokker-Planck system with two internal states. - Guillermo Oliver, Pablo Lanillos, Gordon Cheng:
Active inference body perception and action for humanoid robots. - Debasish Pattanayak, H. Ramesh, Partha Sarathi Mandal:
Chauffeuring a Crashed Robot from a Disk. - Tim Kuipers, Jun Wu, Charlie C. L. Wang:
CrossFill: Foam Structures with Graded Density for Continuous Material Extrusion. - Gabriele Civitarese, Riccardo Presotto, Claudio Bettini:
Context-driven Active and Incremental Activity Recognition. - Vidyasagar Sadhu, Gabriel Salles-Loustau, Dario Pompili, Saman A. Zonouz, Vincent Sritapan:
Argus: Smartphone-enabled Human Cooperation via Multi-Agent Reinforcement Learning for Disaster Situational Awareness. - Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai:
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. - Lingjing Wang, Yi Fang:
Coherent Point Drift Networks: Unsupervised Learning of Non-Rigid Point Set Registration. - Sebastien Blandin, Laura Wynter, Hasan Poonawala, Sean Laguna, Basile Dura:
FASTER: Fusion AnalyticS for public Transport Event Response. - Khaled Ahmed Nagaty:
A Fuzzy-Fuzzy Vault Scheme. - S. Jalil Kazemitabar, Arash Ali Amini:
Approximate Identification of the Optimal Epidemic Source in Complex Networks. - Maurice Tchoupé Tchendji, Lionel Tadonfouet, Thomas Tébougang Tchendji:
A Tree Pattern Matching Algorithm for XML Queries with Structural Preferences. - Hussein Alrubaye, Stephanie Ludi, Mohamed Wiem Mkaouer:
Comparison of block-based and hybrid-based programming environments in transferring programming skills to text-based environment. - Ivar Stangeby, Tor Dokken:
Properties of Spline Spaces Over Structured Hierarchical Box Partitions. - Philip S. Thomas, Scott M. Jordan, Yash Chandak, Chris Nota, James E. Kostas:
Classical Policy Gradient: Preserving Bellman's Principle of Optimality. - Simon Duque Antón, Daniel Fraunholz, Janis Zemitis, Frederic Pohl, Hans Dieter Schotten:
Highly Scalable and Flexible Model for Effective Aggregation of Context-based Data in Generic IIoT Scenarios. - Stephan Lorenzen, Niklas Hjuler, Stephen Alstrup:
Investigating Writing Style Development in High School. - Feng Tian, Jia Yue, Kuo-Ming Chao, Buyue Qian, Nazaraf Shah, Longzhuang Li, Haiping Zhu, Yan Chen, Bin Zeng, Qinghua Zheng:
Modeling e-Learners' Cognitive and Metacognitive Strategy in Comparative Question Solving. - Kalai Ramea:
Unsupervised Temporal Clustering to Monitor the Performance of Alternative Fueling Infrastructure. - Mehdi Sadeqi, Azin Asgarian, Ariel Sibilia:
Prediction of Workplace Injuries. - Weilin Luo, Hai Wan, Hongzhen Zhong, Ou Wei:
CoAPI: An Efficient Two-Phase Algorithm Using Core-Guided Over-Approximate Cover for Prime Compilation of Non-Clausal Formulae. - Christoph Alt, Marc Hübner, Leonhard Hennig:
Improving Relation Extraction by Pre-trained Language Representations. - Mohammed A. Salem, Ibrahim F. Tarrad, Mohamed Ibrahim Youssef, Sherine M. Abd El-Kader:
QoS Categories Activeness-Aware Adaptive EDCA Algorithm for Dense IoT Networks. - Ognjen Rudovic, Meiru Zhang, Björn W. Schuller, Rosalind W. Picard:
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach. - Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu:
Shared-Private Bilingual Word Embeddings for Neural Machine Translation. - Igor B. Burdonov, Alexandre S. Kossachev, Nina Yevtushenko, Jorge López, Natalia Kushik, Djamal Zeghlache:
Verifying SDN Data Path Requests. - Udit Gupta, Xiaodong Wang, Maxim Naumov, Carole-Jean Wu, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang:
The Architectural Implications of Facebook's DNN-based Personalized Recommendation. - Paul Burkhardt:
Optimal algebraic Breadth-First Search for sparse graphs. - Felix Beierle, Tobias Eichinger:
Collaborating with Users in Proximity for Decentralized Mobile Recommender Systems. - Sungyub Kim, Yongsu Baek, Sung Ju Hwang, Eunho Yang:
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck. - Shen Yan, Leonard Dahlmann, Pavel Petrushkov, Sanjika Hewavitharana, Shahram Khadivi:
Word-based Domain Adaptation for Neural Machine Translation. - Satoshi Hayakawa, Ken'ichiro Tanaka:
Convergence analysis of approximation formulas for analytic functions via duality for potential energy minimization. - Karen Avetisyan, Tsolak Ghukasyan:
Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation. - Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou:
Accurate deep neural network inference using computational phase-change memory. - Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan:
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. - Jian-Wu Lin, Hao Li:
HPILN: A feature learning framework for cross-modality person re-identification. - José Reyes, Jorge López, Djamal Zeghlache:
Identifying Operational Data-paths in Software Defined Networking Driven Data-planes. - Furqan Hameed Khan, Marius Portmann:
Joint QoS-control and Handover Optimization in Backhaul aware SDN-based LTE Networks. - Jian Li, Yong Liu, Weiping Wang:
Distributed Learning with Random Features. - Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski:
Matching the Blanks: Distributional Similarity for Relation Learning. - Qingqing Wu, Rui Zhang:
Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface with Discrete Phase Shifts. - Luz Rello, Ricardo Baeza-Yates, Abdullah X. Ali, Jeffrey P. Bigham, Miquel Serra:
Predicting risk of dyslexia with an online gamified test. - Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang:
Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements. - Ilias Sfirakis, Vasileios Kotronis:
Validating IP Prefixes and AS-Paths with Blockchains. - Ye Yuan, Kris Kitani:
Ego-Pose Estimation and Forecasting as Real-Time PD Control. - Xiaoqing Liu, Yinyin Peng, Jie Wang, Zhaoxia Yin:
Image Encryption Algorithm Based on Facebook Social Network. - Jinyin Chen, Mengmeng Su, Shijing Shen, Hui Xiong, Haibin Zheng:
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm. - Ensar Seker:
The Concept of Cyber Defence Exercises (CDX): Planning, Execution, Evaluation. - Alexander Finkelstein, Uri Almog, Mark Grobman:
Fighting Quantization Bias With Bias. - Wijnand Suijlen, A. N. Yzelman:
Lightweight Parallel Foundations: a model-compliant communication layer. - Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López:
Multimodal End-to-End Autonomous Driving. - Kyle Swanson, Lili Yu, Christopher Fox, Jeremy Wohlwend, Tao Lei:
Building a Production Model for Retrieval-Based Chatbots. - Jonas Beuchert, Friedrich Solowjow, Jörg Raisch, Sebastian Trimpe, Thomas Seel:
Hierarchical Event-triggered Learning for Cyclically Excited Systems with Application to Wireless Sensor Networks. - Daniel Jiwoong Im, Sridhama Prakhya, Jinyao Yan, Srinivas C. Turaga, Kristin Branson:
Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data. - Ankit Shah, Shen Li, Julie Shah:
Planning With Uncertain Specifications (PUnS). - Yazhou Yao, Jian Zhang, Xian-Sheng Hua, Fumin Shen, Zhenmin Tang:
Extracting Visual Knowledge from the Internet: Making Sense of Image Data. - Shuangfei Fan, Bert Huang:
Labeled Graph Generative Adversarial Networks. - Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-text Generation with Entity Modeling. - Jialong Shi, Jianyong Sun, Qingfu Zhang:
Homotopic Convex Transformation: A New Method to Smooth the Landscape of the Traveling Salesman Problem. - Giovanni Ciampi:
Cryptanalysis of the SLAP Authentication Protocol. - Kevin Shi, Daniel Hsu, Allison Bishop:
A cryptographic approach to black box adversarial machine learning. - Cesar A. Ipanaque Zapata, Jesús González:
Multitasking collision-free motion planning algorithms in Euclidean spaces. - Laurent Orseau, Levi H. S. Lelis, Tor Lattimore:
Zooming Cautiously: Linear-Memory Heuristic Search With Node Expansion Guarantees. - A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Evolving Losses for Unlabeled Video Representation Learning. - Guoyin Wang, Yan Song, Yue Zhang, Dong Yu:
Learning Word Embeddings with Domain Awareness. - Yulong Wu, Yunfei Zha, Yao Sun:
A Unifying Hybrid Consensus Protocol. - Victor E. Hansen:
Representing and Using Knowledge with the Contextual Evaluation Model. - Shidokht Hejazi-Sepehr, Ross Kitsis, Ali Sharif:
Transwarp Conduit: Interoperable Blockchain Application Framework. - Massimo Franceschet, Giovanni Colavizza, Tai Smith, Blake Finucane, Martin Lukas Ostachowski, Sergio Scalet, Jonathan Perkins, James Morgan, Sebastian Hernandez:
Crypto art: A decentralized view. - Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding. - James McDermott:
When and Why Metaheuristics Researchers Can Ignore "No Free Lunch" Theorems. - Jake Levinson, Avneesh Sud, Ameesh Makadia:
Latent feature disentanglement for 3D meshes. - Shipra Agrawal, Eric Balkanski, Vahab S. Mirrokni, Balasubramanian Sivan:
Dynamic First Price Auctions Robust to Heterogeneous Buyers. - Davide Scaramuzza, Zichao Zhang:
Visual-Inertial Odometry of Aerial Robots. - W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein:
Understanding Generalization through Visualizations. - Dennis Ulmer, Dieuwke Hupkes, Elia Bruni:
Assessing incrementality in sequence-to-sequence models. - Zhiheng Kang, Ning Li:
PyramNet: Point Cloud Pyramid Attention Network and Graph Embedding Module for Classification and Segmentation. - Kensuke Ito, Hideyuki Tanaka:
Token-Curated Registry with Citation Graph. - Rodrigo Morales, Rubén Saborido, Yann-Gaël Guéhéneuc:
MoMIT: Porting a JavaScript Interpreter on a Quarter Coin. - Xin Qian, Yudong Chen, Andreea Minca:
Clustering Degree-Corrected Stochastic Block Model with Outliers. - Drahomira Herrmannova, Nancy Pontika, Petr Knoth:
Do Authors Deposit on Time? Tracking Open Access Policy Compliance. - Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri:
Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits. - Nikos Karampatziakis, John Langford, Paul Mineiro:
Empirical Likelihood for Contextual Bandits. - Ariel Schvartzman, S. Matthew Weinberg, Eitan Zlatin, Albert Zuo:
Approximately Strategyproof Tournament Rules: On Large Manipulating Sets and Cover-Consistence. - Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. - Fanyou Wu, Rado Gazo, Eva Haviarova, Bedrich Benes:
Efficient Project Gradient Descent for Ensemble Adversarial Attack. - Min Shu, Wei Zhu:
Extension of Rough Set Based on Positive Transitive Relation. - Juri Opitz, Anette Frank:
Dissecting Content and Context in Argumentative Relation Analysis. - Iljung S. Kwak, David J. Kriegman, Kristin Branson:
Detecting the Starting Frame of Actions in Video. - Qinbo Li, Adam G. D'Souza, Cason Schmit, Hye-Chung Kum:
Increasing Transparent and Accountable Use of Data by Quantifying the Actual Privacy Risk in Interactive Record Linkage. - Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. - Denis Newman-Griffis, Ayah Zirikly, Guy Divita, Bart Desmet:
Classifying the reported ability in clinical mobility descriptions. - Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli:
Video Modeling with Correlation Networks. - Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam:
Real or Fake? Learning to Discriminate Machine from Human Generated Text. - Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn:
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward. - Thomas Nestmeyer, Iain A. Matthews, Jean-François Lalonde, Andreas M. Lehrmann:
Structural Decompositions for End-to-End Relighting. - Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification. - Qiao Jin, Jinling Liu, Xinghua Lu:
Deep Contextualized Biomedical Abbreviation Expansion. - Ehsan Amid, Manfred K. Warmuth, Rohan Anil, Tomer Koren:
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. - Sinong Geng, Minhao Yan, Mladen Kolar, Oluwasanmi Koyejo:
Partially Linear Additive Gaussian Graphical Models. - Tomás Soucek, Jaroslav Moravec, Jakub Lokoc:
TransNet: A deep network for fast detection of common shot transitions. - Dheeraj Baby, Yu-Xiang Wang:
Online Forecasting of Total-Variation-bounded Sequences. - (Withdrawn) Global Semantic Description of Objects based on Prototype Theory.
- Yixuan He, Tianyi Hu, Delu Zeng:
Scan-flood Fill(SCAFF): an Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. - Luke Metz, Niru Maheswaranathan, Jonathon Shlens, Jascha Sohl-Dickstein, Ekin D. Cubuk:
Using learned optimizers to make models robust to input noise. - Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. - Manabu Hagiwara, Justin Kong:
Applications of Gaussian Binomials to Coding Theory for Deletion Error Correction. - Hieu Tran, Maxim Shcherbakov:
Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments. - Tengyang Xie, Yifei Ma, Yu-Xiang Wang:
Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling. - Jiyao Li, Vicki H. Allan:
A Ride-Matching Strategy For Large Scale Dynamic Ridesharing Services Based on Polar Coordinates. - Lee Prangnell:
Frequency-Dependent Perceptual Quantisation for Visually Lossless Compression Applications. - Mika Juuti, Buse Gul Atli, N. Asokan:
Making targeted black-box evasion attacks effective and efficient. - Eric Battenberg, Soroosh Mariooryad, Daisy Stanton, R. J. Skerry-Ryan, Matt Shannon, David Kao, Tom Bagby:
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis. - Chaowei Shan, Zhizheng Zhang, Zhibo Chen:
A Coarse-to-Fine Framework for Learned Color Enhancement with Non-Local Attention. - Yiqing Li, Miao Jiang, Qi Zhang, Jiayin Qin:
Secure Beamforming in MISO NOMA Backscatter Device Aided Symbiotic Radio Networks. - Xavier Bresson, Thomas Laurent:
A Two-Step Graph Convolutional Decoder for Molecule Generation. - Jingxi Li, Deniz Mengu, Yi Luo, Yair Rivenson, Aydogan Ozcan:
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy. - Hendrik Mölder:
A Component-Based Approach to Traffic Data Wrangling. - Li Zeng, Lei Zou, M. Tamer Özsu, Lin Hu, Fan Zhang:
GSI: GPU-friendly Subgraph Isomorphism. - Maryam Ramezani, Mina Rafiei, Soroush Omranpour, Hamid R. Rabiee:
News Labeling as Early as Possible: Real or Fake? - Jan Philipp Wächter, Armin Weiß:
An Automaton Group with PSPACE-Complete Word Problem. - Tejas S. Borkar, Felix Heide, Lina J. Karam:
Defending against Adversarial Attacks through Resilient Feature Regeneration. - Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao:
How Different Is It Between Machine-Generated and Developer-Provided Patches? An Empirical Study on The Correct Patches Generated by Automated Program Repair Techniques. - Thanh Tran, Renee Sweeney, Kyumin Lee:
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation. - Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun:
The superiority of stochastic symplectic methods for a linear stochastic oscillator via large deviations principles. - Yong Wang:
Algebra of Concurrent Games. - Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu:
Sensitivity of Deep Convolutional Networks to Gabor Noise. - Dominik Baumann, Fabian Mager, Marco Zimmerling, Sebastian Trimpe:
Control-guided Communication: Efficient Resource Arbitration and Allocation in Multi-hop Wireless Control Systems. - Rajagopal A., Nirmala V.:
Strategies to architect AI Safety: Defense to guard AI from Adversaries. - Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng:
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization. - Martino Dazzi, Abu Sebastian, Pier Andrea Francese, Thomas P. Parnell, Luca Benini, Evangelos Eleftheriou:
5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory. - Shubhankar Deshpande, Brian D. Bue, David R. Thompson, Vijay Natraj, Mario Parente:
Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy. - Ruocheng Guo, Jundong Li, Huan Liu:
Learning Individual Treatment Effects from Networked Observational Data. - Hieu Tran, Ngoc M. Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen:
Recovering Variable Names for Minified Code with Usage Contexts. - David Moxey, Chris D. Cantwell, Yan Bao, Andrea Cassinelli, Giacomo Castiglioni, Sehun Chun, Emilia Juda, Ehsan Kazemi, Kilian Lackhove, Julian Marcon, Gianmarco Mengaldo, Douglas Serson, Michael Turner, Hui Xu, Joaquim Peiró, Robert M. Kirby, Spencer J. Sherwin:
Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods. - Ramamonjy Andriamifidisoa, Rufine Marius Lalasoa, Toussaint Joseph Rabeherimanana:
Finding a Generator Matrix of a Multidimensional Cyclic Code. - Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, Neha Verma, William Hu, Dragomir R. Radev:
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. - Giovanna Citti, Alessandro Sarti:
Neurogeometry of perception: isotropic and anisotropic aspects. - Alham Fikri Aji, Kenneth Heafield:
Making Asynchronous Stochastic Gradient Descent Work for Transformers. - Rui Zhang, Joel R. Tetreault:
This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation. - Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan:
ML-LOO: Detecting Adversarial Examples with Feature Attribution. - Vinod Kumar Kurmi, Shanu Kumar, Vinay P. Namboodiri:
Attending to Discriminative Certainty for Domain Adaptation. - Michael L. Iuzzolino, Yoram Singer, Michael C. Mozer:
Convolutional Bipartite Attractor Networks. - Ioannis K. Argyros, Stepan Shakhno:
Local convergence analysis of the Gauss-Newton-Kurchatov method. - Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang:
Forward and Backward Knowledge Transfer for Sentiment Classification. - Hao Zheng, Mirella Lapata:
Sentence Centrality Revisited for Unsupervised Summarization. - Aristotelis-Angelos Papadopoulos, Mohammad Reza Rajati:
Simultaneous Classification and Novelty Detection Using Deep Neural Networks. - Tobias Wrigstad, Elias Castegren:
Mastery Learning-Like Teaching with Achievements. - Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari:
DiCENet: Dimension-wise Convolutions for Efficient Networks. - Fereshte Khani, Aditi Raghunathan, Percy Liang:
Maximum Weighted Loss Discrepancy. - Kun Qian, Zhou Yu:
Domain Adaptive Dialog Generation via Meta Learning. - Ali Payani, Faramarz Fekri:
Inductive Logic Programming via Differentiable Deep Neural Logic Networks. - Luke Jones, Charith Perera:
PizzaBox: Studying Internet Connected Physical Object Manipulation based Food Ordering. - Zhenyu Zhang, Zhen Cui, Chunyan Xu, Yan Yan, Nicu Sebe, Jian Yang:
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation. - Maksym Andriushchenko, Matthias Hein:
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks. - Sébastien M. R. Arnold, Pierre-Antoine Manzagol, Reza Babanezhad, Ioannis Mitliagkas, Nicolas Le Roux:
Reducing the variance in online optimization by transporting past gradients. - Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth:
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. - Chris Sweeney, Aleksander Holynski, Brian Curless, Steven M. Seitz:
Structure from Motion for Panorama-Style Videos. - Jacob M. Schreiber, Jeffrey A. Bilmes, William Stafford Noble:
apricot: Submodular selection for data summarization in Python. - François Golse, Shi Jin, Thierry Paul:
On the Convergence of Time Splitting Methods for Quantum Dynamics in the Semiclassical Regime. - Dmitry A. Konovalov, Simindokht Jahangard, Lin Schwarzkopf:
In Situ Cane Toad Recognition. - Cecilia Summers, Michael J. Dinneen:
Four Things Everyone Should Know to Improve Batch Normalization. - Thomas Hardjono:
A Federated Authorization Framework for Distributed Personal Data and Digital Identity. - Zeyu Jia, Zaiwen Wen, Yinyu Ye:
Toward Solving 2-TBSG Efficiently. - David A. Naumann:
Whither Programs as Specifications. - Bowen Pan, Jiankai Sun, Alex Andonian, Aude Oliva, Bolei Zhou:
Cross-view Semantic Segmentation for Sensing Surroundings. - Daqing Liu, Hanwang Zhang, Zheng-Jun Zha, Fanglin Wang:
Referring Expression Grounding by Marginalizing Scene Graph Likelihood. - Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li:
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. - Thai T. Vu, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz:
Optimal Task Offloading and Resource Allocation for Fog Computing. - Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Hongpeng Wang:
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking. - Neelesh Kumar, Ritesh Kumar Dubey:
Development of a new sixth order accurate compact scheme for two and three dimensional Helmholtz equation. - Haifeng Wang, Jian-Feng Cai, Tianming Wang, Ke Wei:
Fast Cadzow's Algorithm and a Gradient Variant. - Disha Shrivastava, Eeshan Gunesh Dhekane, Riashat Islam:
Transfer Learning by Modeling a Distribution over Policies. - Long Wang, Giuseppe Del Giudice, Nabil Simaan:
Simplified Kinematics of Continuum Robot Equilibrium Modulation via Moment Coupling Effects and Model Calibration. - Sriram N. N., Gourav Kumar, Abhay Singh, M. Siva Karthik, Saket Saurav, Brojeshwar Bhowmick, K. Madhava Krishna:
A Hierarchical Network for Diverse Trajectory Proposals. - Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren:
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling. - Akshay Mete, D. Manjunath, Jayakrishnan Nair, Balakrishna J. Prabhu:
Partial Server Pooling in Redundancy Systems. - Zheng-Hua Tan, Achintya Kumar Sarkar, Najim Dehak:
rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method. - Chao Zhai, Hung D. Nguyen:
Region of Attraction for Power Systems using Gaussian Process and Converse Lyapunov Function - Part I: Theoretical Framework and Off-line Study. - Kun Jing, Jungang Xu:
A Survey on Neural Network Language Models. - Zhao Song, Xin Yang:
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound. - Rajagopal A., Nirmala V.:
Federated AI lets a team imagine together: Federated Learning of GANs. - Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo:
What and Where to Translate: Local Mask-based Image-to-Image Translation. - Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao:
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification. - Yadollah Yaghoobzadeh, Katharina Kann, Timothy J. Hazen, Eneko Agirre, Hinrich Schütze:
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings. - Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng:
Distilling Object Detectors with Fine-grained Feature Imitation. - Anupam Das:
From QBFs to MALL and back via focussing: fragments of multiplicative additive linear logic for each level of the polynomial hierarchy. - Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling:
On the Vulnerability of Capsule Networks to Adversarial Attacks. - Abel Molina:
Analysis of a Poisson-picking symmetric winners-take-all game with randomized payoffs. - Xusheng Zeng, Changxing Ding, Yonggang Wen, Dacheng Tao:
Soft-ranking Label Encoding for Robust Facial Age Estimation. - Ruihan Yang, Dingsu Wang, Ziyu Wang, Tianyao Chen, Junyan Jiang, Gus Xia:
Deep Music Analogy Via Latent Representation Disentanglement. - Damien Christophe Jacques, Pierre Defourny:
Accuracy Requirements for Early Estimation of Crop Production in Senegal. - Ting Sun, Yuxiang Sun, Ming Liu, Dit-Yan Yeung:
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation. - Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox:
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. - Prajit Dhar, Lonneke van der Plas:
Learning to Predict Novel Noun-Noun Compounds. - Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber:
LSTM Networks Can Perform Dynamic Counting. - Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes:
Unsupervised Primitive Discovery for Improved 3D Generative Modeling. - Tu Vu, Mohit Iyyer:
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification. - Xukai Xie, Yuan Zhou, Sun-Yuan Kung:
HGC: Hierarchical Group Convolution for Highly Efficient Neural Network. - Partha P. Mitra:
Understanding overfitting peaks in generalization error: Analytical risk curves for l2 and l1 penalized interpolation. - Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal:
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. - Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Question Answering as Global Reasoning over Semantic Abstractions. - Katerina Margatina, Christos Baziotis, Alexandros Potamianos:
Attention-based Conditioning Methods for External Knowledge Integration. - Abdallah Saffidine, Sébastien Lê Cong, Sophie Pinchinat, François Schwarzentruber:
The Packed Interval Covering Problem is NP-complete. - Arun Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed:
Happy Together: Learning and Understanding Appraisal From Natural Language. - Kuan-Hui Lee, Takaaki Tagawa, Jia-En M. Pan, Adrien Gaidon, Bertrand Douillard:
An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition. - Majid Khadiv, Mohammad Hasan Yeganegi, S. Ali A. Moosavian, Jia-Jie Zhu, Ludovic Righetti:
Trajectory Optimization for Robust Humanoid Locomotion with Sample-Efficient Learning. - Valerie Chen, Man-Ki Yoon, Zhong Shao:
Novelty Detection via Network Saliency in Visual-based Deep Learning. - Daniel Gabric, Jeffrey O. Shallit:
Borders, Palindrome Prefixes, and Square Prefixes. - Arun Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed:
UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data. - Arjun Sondhi, David Arbour, Drew Dimmery:
Balanced Off-Policy Evaluation in General Action Spaces. - Rakesh Chada:
Gendered Pronoun Resolution using BERT and an extractive question answering formulation. - Keunwoo Choi, Kyunghyun Cho:
Deep Unsupervised Drum Transcription. - Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
A general solver to the elliptical mixture model through an approximate Wasserstein manifold. - Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup:
SVRG for Policy Evaluation with Fewer Gradient Evaluations. - Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken:
Redundancy-Free Computation Graphs for Graph Neural Networks. - Chin-Wei Huang, Aaron C. Courville:
Note on the bias and variance of variational inference. - John B. Lanier, Stephen McAleer, Pierre Baldi:
Curiosity-Driven Multi-Criteria Hindsight Experience Replay. - Nadezhda Bugakova, Valentina Fedorova, Gleb Gusev, Alexey Drutsa:
Aggregation of pairwise comparisons with reduction of biases. - Xinyu Hua, Zhe Hu, Lu Wang:
Argument Generation with Retrieval, Planning, and Realization. - Tegg Tae Kyong Sung, Valliappa Chockalingam, Alex Yahja, Bo Ryu:
Neural Heterogeneous Scheduler. - Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher:
The Generalization-Stability Tradeoff in Neural Network Pruning. - Sofia Serrano, Noah A. Smith:
Is Attention Interpretable? - Nathan Kallus, Masatoshi Uehara:
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning. - Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang:
Factorization Bandits for Online Influence Maximization. - Eva Sharma, Chen Li, Lu Wang:
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. - Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho:
Degrees of Freedom Analysis of Unrolled Neural Networks. - Rohit Agrawal:
Coin Theorems and the Fourier Expansion. - Mohammad Rostami, Soheil Kolouri, James L. McClelland, Praveen K. Pilly:
Generative Continual Concept Learning. - Cecilia Summers, Michael J. Dinneen:
Improved Adversarial Robustness via Logit Regularization Methods. - Yao Ma, Suhang Wang, Lingfei Wu, Jiliang Tang:
Attacking Graph Convolutional Networks via Rewiring. - Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan:
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. - Daniel J. Rosenkrantz, Madhav V. Marathe, S. S. Ravi, Richard Edwin Stearns:
Symmetry Properties of Nested Canalyzing Functions. - Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve:
Embedding Imputation with Grounded Language Information. - Ruo Li, Fanyi Yang:
a sequential least squares method for elliptic equations in non-divergence form. - Ruth Ikwu:
Identifying Data And Information Streams In Cyberspace: A Multi-Dimensional Perspective. - F. Brambila-Paz, A. Torres-Hernandez, C. A. Torres-Martínez:
Proposal to Use the Fractional Derivative of Radial Functions in Interpolation Problems. - Adam W. Harley, Fangyu Li, Shrinidhi Kowshika Lakshmikanth, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki:
Embodied View-Contrastive 3D Feature Learning. - Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang:
Variance Reduction in Gradient Exploration for Online Learning to Rank. - Xiaoshuo Li, Tiezhu Yue, Xuanping Huang, Zhe Yang, Gang Xu:
BAGS: An automatic homework grading system using the pictures taken by smart phones. - Eric Squires, Pietro Pierpaoli, Rohit Konda, Samuel Coogan, Magnus Egerstedt:
Composition of Safety Constraints With Applications to Decentralized Fixed-Wing Collision Avoidance. - Darren Yates, Md Zahidul Islam, Junbin Gao:
DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets. - Wentao Ouyang, Xiuwu Zhang, Li Li, Heng Zou, Xin Xing, Zhaojie Liu, Yanlong Du:
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction. - Wenyi Zhang, Yizhu Wang, Cong Shen, Ning Liang:
A Regression Approach to Certain Information Transmission Problems. - Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun:
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks. - Victor Y. Pan, Qi Luan:
Randomized Approximation of Linear Least Squares Regression at Sub-linear Cost. - Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig:
Generalized Data Augmentation for Low-Resource Translation. - Abu Sufian, Anirudha Ghosh, Avijit Naskar, Farhana Sultana:
BDNet: Bengali handwritten numeral digit recognition based on densely connected convolutional neural networks. - Cihang Xie, Alan L. Yuille:
Intriguing properties of adversarial training. - Elizabeth Herman, Alen Alexanderian, Arvind K. Saibaba:
Randomization and reweighted 𝓁1-minimization for A-optimal design of linear inverse problems. - Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Jean-François Lalonde:
Fast Spatially-Varying Indoor Lighting Estimation. - Alekh Agarwal, Sham M. Kakade, Lin F. Yang:
On the Optimality of Sparse Model-Based Planning for Markov Decision Processes. - Dilin Wang, ChengYue Gong, Qiang Liu:
Improving Neural Language Modeling via Adversarial Training. - Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
A Closed-Form Learned Pooling for Deep Classification Networks. - Junhyeok Ahn, Donghyun Kim, SeungHyeon Bang, Nick Paine, Luis Sentis:
Control of A High Performance Bipedal Robot using Viscoelastic Liquid Cooled Actuators. - Junhyeok Ahn, Jaemin Lee, Luis Sentis:
Data Efficient and Safe Learning for Locomotion via Simplified Model. - Zahra Mirikharaji, Yiqi Yan, Ghassan Hamarneh:
Learning to Segment Skin Lesions from Noisy Annotations. - Zhuo Sun:
Random Access for Massive Machine-Type Communications. - Kfir Lev-Ari, Alexander Spiegelman, Idit Keidar, Dahlia Malkhi:
FairLedger: A Fair Blockchain Protocol for Financial Institutions. - Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv:
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification. - Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Xiaoyu Kou, Tony Xing, Mao Yang, Jie Tong, Qi Zhang:
Time-Series Anomaly Detection Service at Microsoft. - Gyeong-In Yu, Saeed Amizadeh, Artidoro Pagnoni, Byung-Gon Chun, Markus Weimer, Matteo Interlandi:
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach. - Boyu Qiu, Xu Chen, Jungang Xu, Yingfei Sun:
A Survey on Neural Machine Reading Comprehension. - Yasutoshi Ida, Yasuhiro Fujiwara:
Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining. - Marian-Andrei Rizoiu, Tianyu Wang, Gabriela Ferraro, Hanna Suominen:
Transfer Learning for Hate Speech Detection in Social Media. - Navid Azizan Ruhi, Sahin Lale, Babak Hassibi:
Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization. - Hailong Liu, Toshihiro Hiraoka, Seiya Tanaka:
Explicit behaviors affected by driver's trust in a driving automation system. - Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
SAR: Learning Cross-Language API Mappings with Little Knowledge. - Alen Arslanagic, Jorge A. Pérez, Erik Voogd:
Minimal Session Types (Extended Version). - Nicolás Robinson-García, Rodrigo Costas, Thed N. van Leeuwen:
Indicators of Open Access for universities. - Xiao Li, Yue Dong, Pieter Peers, Xin Tong:
Synthesizing 3D Shapes from Silhouette Image Collections using Multi-projection Generative Adversarial Networks. - Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine A. Heller, Andrew M. Dai:
Analyzing the Role of Model Uncertainty for Electronic Health Records. - YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck:
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. - Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan:
Progressive Cluster Purification for Transductive Few-shot Learning. - Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh:
Robustness Verification of Tree-based Models. - Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song:
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions. - Giuseppe Patanè:
Laplacian Spectral Basis Functions. - Yufei Wang, Du Tran, Lorenzo Torresani:
UniDual: A Unified Model for Image and Video Understanding. - Roman Visotsky, Yuval Atzmon, Gal Chechik:
Few-Shot Learning with Per-Sample Rich Supervision. - Rohan Ghosh, Anupam K. Gupta:
Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks. - Carlos Mosquera, Tomás Ramírez, Màrius Caus, Nele Noels, Adriano Pastore:
Non-Coherent Rate Splitting for the MISO BC with Magnitude CSIT. - Bijue Jia, Jiancheng Lv, Dayiheng Liu:
Deep Learning-Based Automatic Downbeat Tracking: A Brief Review. - Giovanni Alzetta, Luca Heltai:
Multiscale modeling of fiber reinforced materials via non-matching immersed methods. - Karthee Sivalingam, Harvey Richardson, Adrian Tate, Martin Lafferty:
LASSi: Metric based I/O analytics for HPC. - Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi:
Topic-Aware Neural Keyphrase Generation for Social Media Language. - Daniel Preotiuc-Pietro, Mihaela Gaman, Nikolaos Aletras:
Automatically Identifying Complaints in Social Media. - Andrew Turner, Dominic Sloan-Murphy, Karthee Sivalingam, Harvey Richardson, Julian M. Kunkel:
Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray LASSi and EPCC SAFE. - Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim:
Learning to combine Grammatical Error Corrections. - Giuseppe Patanè:
A Unified Definition and Computation of Laplacian Spectral Distances. - Qiuyu Zhu, Zhengyong Wang:
An Image Clustering Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids and MMD Distance. - Timon S. Gutleb, Sheehan Olver:
A sparse spectral method for Volterra integral equations using orthogonal polynomials on the triangle. - Gaurvi Goyal, Nicoletta Noceti, Francesca Odone, Alessandra Sciutti:
The role of ego vision in view-invariant action recognition. - Hyebin Lee, Seong Tae Kim, Yong Man Ro:
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis. - Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang:
Multi-objects Generation with Amortized Structural Regularization. - Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel:
A Survey of Reinforcement Learning Informed by Natural Language. - Junhwan Lee, Ahmad F. Taha, Nikolaos Gatsis, David Akopian:
Tuning-Free, Low Memory Robust Estimator to Mitigate GPS Spoofing Attacks. - Milad Abolpour, Mahtab Mirmohseni, Mohammad Reza Aref:
On the Secrecy Performance of NOMA Systems with both External and Internal Eavesdroppers. - Tianyu Sun, Wensheng Yu:
Formalization of the Axiom of Choice and its Equivalent Theorems. - Moez A. AbdelGawad:
Java Generics: An Order-Theoretic Approach (Detailed Outline). - Mohamed El-Guide, Agnieszka Miedlar, Yousef Saad:
A rational approximation method for solving acoustic nonlinear eigenvalue problems. - Adam Katona, Ryan J. Spick, Victoria J. Hodge, Simon Demediuk, Florian Block, Anders Drachen, James Alfred Walker:
Time to Die: Death Prediction in Dota 2 using Deep Learning. - Md. Iftekhar Tanveer, Md. Kamrul Hasan, Daniel Gildea, Mohammed (Ehsan) Hoque:
Predicting TED Talk Ratings from Language and Prosody. - Emil Björnson, Özgecan Özdogan, Erik G. Larsson:
Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying? - Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han:
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. - Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. - Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima, Daisuke Bekki:
Multimodal Logical Inference System for Visual-Textual Entailment. - Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Best-First Width Search for Multi Agent Privacy-preserving Planning. - Rodrigo Rivera-Castro, Polina Pilyugina, Alexander Pletnev, Ivan Maksimov, Wanyi Wyz, Evgeny Burnaev:
Topological Data Analysis of Time Series Data for B2B Customer Relationship Management. - Martin Hirzel, Kiran Kate, Avraham Shinnar, Subhrajit Roy, Parikshit Ram:
Type-Driven Automated Learning with Lale. - J.-P. Bruneton, Leo Cazenille, Adele Douin, V. Reverdy:
Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms. - Tom H. Anderson, Benjamin J. Civiletti, Peter Monk, Akhlesh Lakhtakia:
Coupled Optoelectronic Simulation and Optimization of Thin-Film Photovoltaic Solar Cells. - Moin Hussain Moti, Dimitris Chatzopoulos, Pan Hui, Sujit Gujar:
FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings (Extended Version). - Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer:
Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor Skill Acquisition in Robots. - Antonio Flores-Montoya, Eric M. Schulte:
Datalog Disassembly. - Duanyang Jing:
A scheme for dynamically integrating C library functions into a λProlog implementation. - Lu Wang, Xuanqing Liu, Jinfeng Yi, Zhi-Hua Zhou, Cho-Jui Hsieh:
Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective. - Markus Kettunen, Erik Härkönen, Jaakko Lehtinen:
E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles. - Thakur Neupane, Chris J. Myers, Curtis Madsen, Hao Zheng, Zhen Zhang:
STAMINA: STochastic Approximate Model-checker for INfinite-state Analysis. - Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba:
Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit. - Bob Iannucci, Aviral Shrivastava, Mohammad Khayatian:
TickTalk - Timing API for Dynamically Federated Cyber-Physical Systems. - Rachana Sathish, Debdoot Sheet:
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network. - Guangyi Zhang, Reza A. Ashrafi, Anne Juuti, Kirsi Pietiläinen, Pekka Marttinen:
Errors-in-variables Modeling of Personalized Treatment-Response Trajectories. - Kaibing Chen, Cheng Cui, Yuning Du, Xianglong Meng, Hui Ren:
2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019. - Devon Sigurdson, Vadim Bulitko, Sven Koenig, Carlos Hernández, William Yeoh:
Automatic Algorithm Selection In Multi-agent Pathfinding. - Jiawei Wan, Ahsan Kareem, Haili Liao, Yunzhu Cai:
On the accuracy of stiff-accurate diagonal implicit Runge-Kutta methods for finite volume based Navier-Stokes equations. - Antoine Rimboux, Rob Dupre, Thomas Lagkas, Panagiotis G. Sarigiannidis, Paolo Remagnino, Vasileios Argyriou:
Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation. - Zichao Zhang, Davide Scaramuzza:
Rethinking Trajectory Evaluation for SLAM: a Probabilistic, Continuous-Time Approach. - Daniel A. Ashlock, Christoph Salge:
The Riddle of Togelby. - Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. - Longfei Chen, Yuichi Nakamura, Kazuaki Kondo:
Detecting Clues for Skill Levels and Machine Operation Difficulty from Egocentric Vision. - Andrea Raffo, Silvia Biasotti:
Weighted Quasi Interpolant Spline Approximation of 3D point clouds via local refinement. - Mario Zanon, Sébastien Gros:
Safe Reinforcement Learning Using Robust MPC. - Hao Wang, Yan Meng, Quansheng Zhang, Mohammad Reza Amini, Ilya V. Kolmanovsky, Jing Sun, Mark Jennings:
MPC-Based Precision Cooling Strategy (PCS) for Efficient Thermal Management of Automotive Air Conditioning System. - Che Wang, Keith W. Ross:
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past. - Roy S. Freedman:
Visual Backpropagation. - Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani:
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. - Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana:
Project Thyia: A Forever Gameplayer. - Xiangrui Li, Dongxiao Zhu:
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification. - Raluca D. Gaina, Matthew Stephenson:
"Did You Hear That?" Learning to Play Video Games from Audio Cues. - Andreas Hessenthaler, Maximilian Balmus, Oliver Röhrle, David Nordsletten:
A Class of Analytic Solutions for Verification and Convergence Analysis of Linear and Nonlinear Fluid-Structure Interaction Algorithms. - Sebastien Gros, Mario Zanon:
Towards Safe Reinforcement Learning Using NMPC and Policy Gradients: Part II - Deterministic Case. - Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen, Jörg Tiedemann:
The University of Helsinki submissions to the WMT19 news translation task. - Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Jamin Shin, Yan Xu, Peng Xu, Pascale Fung:
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification. - Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush:
GLTR: Statistical Detection and Visualization of Generated Text. - Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen:
Enhanced Optimization with Composite Objectives and Novelty Pulsation. - Efstathios I. Ioannidis, Nikolaos Cheimarios, Antony N. Spyropoulos, Andreas G. Boudouvis:
On the performance of various parallel GMRES implementations on CPU and GPU clusters. - Dongdong Chen, Yisen Wang, Jinfeng Yi, Zaiyi Chen, Zhi-Hua Zhou:
Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation. - Ryan M. Watson, Jason N. Gross, Clark N. Taylor, Robert C. Leishman:
Enabling Robust State Estimation through Measurement Error Covariance Adaptation. - Sebastien Gros, Mario Zanon:
Towards Safe Reinforcement Learning Using NMPC and Policy Gradients: Part I - Stochastic case. - Kyongmin Yeo:
Data-driven Reconstruction of Nonlinear Dynamics from Sparse Observation. - Yutaro Yamaguchi:
A Dijkstra-Based Efficient Algorithm for Finding a Shortest Non-zero Path in Group-Labeled Graphs. - Jingyan Wang, Nihar B. Shah, R. Ravi:
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons. - Ethan Wilcox, Roger Levy, Richard Futrell:
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations. - Pierluigi Amodio, Luigi Brugnano, Felice Iavernaro:
A note on the continuous-stage Runge-Kutta formulation of Hamiltonian Boundary Value Methods (HBVMs). - Ekaterina Chernyak, Maria Ponomareva, Kirill Milintsevich:
Char-RNN for Word Stress Detection in East Slavic Languages. - Kohei Ozaki, Shuhei Yokoo:
Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset. - Priyanka Bhovad, Joshua Kaufmann, Suyi Li:
Peristaltic locomotion without digital controllers: Exploiting the origami multi-stability to coordinate robotic motions. - Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei:
Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication. - Chuchu Chen, Jialin Hong, Yulan Lu:
Approximation of Invariant Measures for Stochastic Differential Equations with Piecewise Continuous Arguments via Backward Euler Method. - Maria Ponomareva, Kira Droganova, Ivan Smurov, Tatiana Shavrina:
AGRR-2019: A Corpus for Gapping Resolution in Russian. - Lilian D. A. Wanzare, Michael Roth, Manfred Pinkal:
Detecting Everyday Scenarios in Narrative Texts. - Daniil Osokin:
Global Context for Convolutional Pose Machines. - Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. - Haotian Ma, Yinqing Zhang, Fan Zhou, Quanshi Zhang:
Quantifying Layerwise Information Discarding of Neural Networks. - Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
A New Ratio Image Based CNN Algorithm For SAR Despeckling. - Victor Y. Pan, Qi Luan, John Svadlenka, Liang Zhao:
CUR Low Rank Approximation of a Matrix at Sub-linear Cost. - Jack Turner, Elliot J. Crowley, Gavin Gray, Amos J. Storkey, Michael F. P. O'Boyle:
BlockSwap: Fisher-guided Block Substitution for Network Compression. - Siddharth Roheda, Hamid Krim, Benjamin S. Riggan:
Commuting Conditional GANs for Robust Multi-Modal Fusion. - Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos:
Fast Hierarchical Neural Network for Feature Learning on Point Cloud. - Kanat Tangwongsan, Srikanta Tirthapura:
Parallel Streaming Random Sampling. - Gustavo Aguilar, Adrián Pastor López-Monroy, Fabio A. González, Thamar Solorio:
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media. - Michal Derezinski, Feynman T. Liang, Michael W. Mahoney:
Bayesian experimental design using regularized determinantal point processes. - Gustavo Aguilar, Suraj Maharjan, Adrián Pastor López-Monroy, Thamar Solorio:
A Multi-task Approach for Named Entity Recognition in Social Media Data. - Gustavo Aguilar, Fahad AlGhamdi, Victor Soto, Mona T. Diab, Julia Hirschberg, Thamar Solorio:
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task. - Gioia Boschi, Anthony P. Young, Sagar Joglekar, Chiara Cammarota, Nishanth Sastry:
Having the Last Word: Understanding How to Sample Discussions Online. - Ning Tian, Huazhen Fang, Jian Chen, Yebin Wang:
Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation. - Weijian Li, Viet-Duy Nguyen, Haofu Liao, Matt Wilder, Ke Cheng, Jiebo Luo:
Patch Transformer for Multi-tagging Whole Slide Histopathology Images. - Jiaqi Jiang, Jonathan A. Fan:
Global optimization of dielectric metasurfaces using a physics-driven neural network. - Hanbyul Joo, Tomas Simon, Mina Cikara, Yaser Sheikh:
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in A Triadic Interaction. - Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik:
Learning Individual Styles of Conversational Gesture. - Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta:
Self-Supervised Exploration via Disagreement. - Moin Nadeem, Wei Fang, Brian Xu, Mitra Mohtarami, James R. Glass:
FAKTA: An Automatic End-to-End Fact Checking System. - Derek Miller:
Leveraging BERT for Extractive Text Summarization on Lectures. - (Withdrawn) Efficient Parallel Simulation of Blood Flows in Abdominal Aorta.
- Yifan Wang, Felice Serena, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung:
Differentiable Surface Splatting for Point-based Geometry Processing. - Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. - Dhanya Sridhar, Lise Getoor:
Estimating Causal Effects of Tone in Online Debates. - Vrunda Dave, Emmanuel Filiot, Shankara Narayanan Krishna, Nathan Lhote:
Deciding the Computability of Regular Functions over Infinite Words. - Armen Avetisyan, Angela Dai, Matthias Nießner:
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans. - Guoqiang Liang, Xiaodan Lou, Haiyan Hou, Zhigang Hu:
Qualifying threshold of take off stage for successfully disseminated creative ideas. - Jason Kaye, Leslie Greengard:
A fast solver for the narrow capture and narrow escape problems in the sphere. - Xinyi Zhou, Reza Zafarani:
Network-based Fake News Detection: A Pattern-driven Approach. - Noam Nisan:
The Demand Query Model for Bipartite Matching. - Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin:
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. - Photios A. Stavrou, Mikael Skoglund, Takashi Tanaka:
Sequential Source Coding for Stochastic Systems Subject to Finite Rate Constraints. - Anirudh Paranjothi, Mohammad S. Khan, Sherali Zeadally, Ajinkya Pawar, David Hicks:
GSTR: Secure Multi-hop Message Dissemination in Connected Vehicles using Social Trust Model. - Victor Y. Pan, Qi Luan:
Refinement of Low Rank Approximation of a Matrix at Sub-linear Cost. - Sam Wiseman, Karl Stratos:
Label-Agnostic Sequence Labeling by Copying Nearest Neighbors. - Linchao Zhu, Laura Sevilla-Lara, Du Tran, Matt Feiszli, Yi Yang, Heng Wang:
FASTER Recurrent Networks for Video Classification. - Claudio Greco, Barbara Plank, Raquel Fernández, Raffaella Bernardi:
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering. - Juan Pablo Borthagaray, Wenbo Li, Ricardo H. Nochetto:
Linear and Nonlinear Fractional Diffusion. - Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea:
Identifying Visible Actions in Lifestyle Vlogs. - (Withdrawn) Multi-Level Taxonomy and Critical Review of Eco-Routing Methods.
- Alexander Dockhorn, Sanaz Mostaghim:
Introducing the Hearthstone-AI Competition. - Shih-Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque:
Pykg2vec: A Python Library for Knowledge Graph Embedding. - Yingbing Hua, Björn Hein:
Interpreting OWL Complex Classes in AutomationML based on Bidirectional Translation. - Amr Jadi:
Improving the communication for children with speech disorder using the smart toys. - Gregory Dzhezyan, Hubert Cecotti:
SymNet: Symmetrical Filters in Convolutional Neural Networks. - Marco Chiani, Ahmed Elzanaty:
On the LoRa Modulation for IoT: Waveform Properties and Spectral Analysis. - Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid, Matthew Phillips, Siddharth Krishnan:
Examining Untempered Social Media: Analyzing Cascades of Polarized Conversations. - Mauricio Alejandro Lotufo, Luigi Colangelo, Carlo Novara:
Feedback Linearization for Quadrotors UAV. - Mogens Graf Plessen:
Optimal In-field Routing for Full and Partial Field Coverage with Arbitrary Non-Convex Fields and Multiple Obstacle Areas. - Aaron Defazio, Léon Bottou:
Scaling Laws for the Principled Design, Initialization and Preconditioning of ReLU Networks. - Christian Coester, James R. Lee:
Pure entropic regularization for metrical task systems. - Sulaf Elshaar, Samira Sadaoui:
Building High-Quality Auction Fraud Dataset. - Jie Liu, Jiawen Liu, Wan Du, Dong Li:
Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2. - Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng:
Exploration via Hindsight Goal Generation. - Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin:
Towards Amortized Ranking-Critical Training for Collaborative Filtering. - Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville:
Stochastic Neural Network with Kronecker Flow. - Jesse Vig, Yonatan Belinkov:
Analyzing the Structure of Attention in a Transformer Language Model. - Nikola B. Kovachki, Andrew M. Stuart:
Analysis Of Momentum Methods. - Hanqing Tao, Shiwei Tong, Tong Xu, Qi Liu, Enhong Chen:
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View. - Yiliang Liu, Hsiao-Hwa Chen, Liangmin Wang, Weixiao Meng:
Artificial Noisy MIMO Systems under Correlated Scattering Rayleigh Fading - A Physical Layer Security Approach. - Hao Lang, Wen Wang:
Automated Curriculum Learning for Turn-level Spoken Language Understanding with Weak Supervision. - Benoit Landry, Joseph Lorenzetti, Zachary Manchester, Marco Pavone:
Bilevel Optimization for Planning through Contact: A Semidirect Method. - Shouvik Musavvir, Anwesha Chatterjee, Ryan Gary Kim, Dae Hyun Kim, Partha Pratim Pande:
Inter-Tier Process Variation-Aware Monolithic 3D NoC Architectures. - Mohammad Hamed Mozaffari, Won-Sook Lee:
Transfer Learning for Ultrasound Tongue Contour Extraction with Different Domains. - Jack W. Rae, Sergey Bartunov, Timothy P. Lillicrap:
Meta-Learning Neural Bloom Filters. - Dong Nie, Dinggang Shen:
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation. - Hamed Omidvar, Vahideh Akhlaghi, Massimo Franceschetti, Rajesh K. Gupta:
Associative Convolutional Layers. - Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet:
Online Object Representations with Contrastive Learning. - Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
Word-level Speech Recognition with a Dynamic Lexicon. - Chandrasekaran Anirudh Bhardwaj:
Adaptively Preconditioned Stochastic Gradient Langevin Dynamics. - Victor Y. Pan, Qi Luan, John Svadlenka, Liang Zhao:
Low Rank Approximation at Sublinear Cost by Means of Subspace Sampling. - Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White:
Importance Resampling for Off-policy Prediction. - Swaroop Ramaswamy, Rajiv Mathews, Kanishka Rao, Françoise Beaufays:
Federated Learning for Emoji Prediction in a Mobile Keyboard. - Zhengfeng Ji, Youming Qiao, Fang Song, Aaram Yun:
General Linear Group Action on Tensors: A Candidate for Post-Quantum Cryptography. - Daniel Duckworth, Arvind Neelakantan, Ben Goodrich, Lukasz Kaiser, Samy Bengio:
Parallel Scheduled Sampling. - Jing Zhang, Dacheng Tao:
FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network. - Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning:
What Does BERT Look At? An Analysis of BERT's Attention. - Jiasi Weng, Jian Weng, Jia-Nan Liu, Yue Zhang:
Secure Software-Defined Networking Based on Blockchain. - Shikang Liu, Fatemeh Vahedian, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic:
Heterogeneous network approach to predict individuals' mental health. - Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromanski, Michael I. Jordan:
Wasserstein Reinforcement Learning. - Rudrusamy U. Gobithaasan, Nurul Syaheera Din, Lingeswaran Ramachandra, Roslan Hasni:
Boosting Students' Performance With The Aid Of Social Network Analysis. - Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine, Jian Tang:
Learning Powerful Policies by Using Consistent Dynamics Model. - Tavor Z. Baharav, David N. C. Tse:
Ultra Fast Medoid Identification via Correlated Sequential Halving. - Sebastian Baltes, Christoph Treude, Martin P. Robillard:
Contextual Documentation Referencing on Stack Overflow. - Adam Gaier, David Ha:
Weight Agnostic Neural Networks. - Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan:
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. - Junyi Bian, Baojun Lin, Ke Zhang:
Hybrid Function Sparse Representation towards Image Super Resolution. - Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Chao Qi, Zhaojie Liu, Yanlong Du:
Representation Learning-Assisted Click-Through Rate Prediction. - Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye:
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. - Junchao Zhang, Yuxin Peng:
Object-aware Aggregation with Bidirectional Temporal Graph for Video Captioning. - Xuewen Yang, Xin Wang:
Recognizing License Plates in Real-Time. - Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace, Ulas Bagci:
PAN: Projective Adversarial Network for Medical Image Segmentation. - Hongwei Dong, Lamei Zhang, Bin Zou:
Band Attention Convolutional Networks For Hyperspectral Image Classification. - Mohammad M. Jalalzai, Costas Busch:
Window Based BFT Blockchain Consensus. - Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao:
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. - Matthew D. Kvalheim, Brian Bittner, Shai Revzen:
Gait modeling and optimization for the perturbed Stokes regime. - Qingquan Song, Shiyu Chang, Xia Hu:
Coupled Variational Recurrent Collaborative Filtering. - Ziang Yan, Yiwen Guo, Changshui Zhang:
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks. - Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui:
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. - Yoshikazu Giga, Yuki Ueda:
Numerical computations of split Bregman method for fourth order total variation flow. - David Eppstein:
Bipartite and Series-Parallel Graphs Without Planar Lombardi Drawings. - Yale Song, Mohammad Soleymani:
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval. - Icaro Marcelino Miranda, Claus Aranha, Marcelo Ladeira:
Classification of EEG Signals using Genetic Programming for Feature Construction. - Loris Nanni, Alessandra Lumini, Federica Pasquali, Sheryl Brahnam:
iProStruct2D: Identifying protein structural classes by deep learning via 2D representations. - Siddhant Jain, Sowmya Munukutla, David Held:
Few-Shot Point Cloud Region Annotation with Human in the Loop. - Jia Guo, Miodrag Potkonjak:
Evolutionary Trigger Set Generation for DNN Black-Box Watermarking. - Jiazhan Feng, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan:
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems. - Peter Robinson:
The merits of using Ethereum MainNet as a Coordination Blockchain for Ethereum Private Sidechains. - Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen:
NAS-FCOS: Fast Neural Architecture Search for Object Detection. - Thomas Olsson, Martin Hell, Martin Höst, Ulrik Franke, Markus Borg:
Sharing of vulnerability information among companies - a survey of Swedish companies. - Andreas Guillot, Romain Fontugne, Philipp Winter, Pascal Mérindol, Alistair King, Alberto Dainotti, Cristel Pelsser:
Chocolatine: Outage Detection for Internet Background Radiation. - Kateryna Stoyka, Ricieri Akihito Pessinatti Ohashi, Nicola Femia:
Behavioral Switching Loss Modeling of Inverter Modules. - Christian S. Pilz, Vladimir Blazek, Steffen Leonhardt:
On the Vector Space in Photoplethysmography Imaging. - Günter Wallner:
Enhancing Battle Maps through Flow Graphs. - Henri Riihimäki, José Licón-Saláiz:
Metrics for Learning in Topological Persistence. - Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass. - Bingli Jiao:
Orthogonal Cocktail BPSK: Exceeding Shannon Capacity of QPSK Input. - Yuanchao Bai, Huizhu Jia, Ming Jiang, Xianming Liu, Xiaodong Xie, Wen Gao:
Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior. - Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Bag of Color Features For Color Constancy. - Peter beim Graben, Ronald Römer, Werner Meyer, Markus Huber, Matthias Wolff:
Reinforcement Learning of Minimalist Numeral Grammars. - Fabrizio Carpi, Christian Häger, Marco Martalò, Riccardo Raheli, Henry D. Pfister:
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding. - Moran Feldman, Ran Haba:
Almost Optimal Semi-streaming Maximization for k-Extendible Systems. - Qingyang Wu, He Li, Weijie Su, Lexin Li, Zhou Yu:
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks. - René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz Rodríguez, David Filliat:
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. - Mostafa El-Khamy, Haoyu Ren, Xianzhi Du, Jungwon Lee:
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching. - Sibei Yang, Guanbin Li, Yizhou Yu:
Cross-Modal Relationship Inference for Grounding Referring Expressions. - Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. - Fajie Yuan, Xiangnan He, Guibing Guo, Zhezhao Xu, Jian Xiong, Xiuqiang He:
Modeling the Past and Future Contexts for Session-based Recommendation. - Bruno Clerckx, Yijie Mao, Robert Schober, H. Vincent Poor:
Rate-Splitting Unifying SDMA, OMA, NOMA, and Multicasting in MISO Broadcast Channel: A Simple Two-User Rate Analysis. - Shengyu Zhu, Zhitang Chen:
Causal Discovery with Reinforcement Learning. - Anastasiya Gorodilova, Sergey Agievich, Claude Carlet, Xiang-dong Hou, Valeriya Idrisova, Nikolay Kolomeec, Alexandr Kutsenko, Luca Mariot, Alexey Oblaukhov, Stjepan Picek, Bart Preneel, Razvan Rosie, Natalia N. Tokareva:
The Fifth International Students' Olympiad in Cryptography - NSUCRYPTO: problems and their solutions. - Behnam Ghavimi, Wolfgang Otto, Philipp Mayr:
EXmatcher: Combining Features Based on Reference Strings and Segments to Enhance Citation Matching. - Nicolas Skatchkovsky, Osvaldo Simeone:
Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning. - Jan A. Bergstra, Cornelis A. Middelburg:
Using Hoare logic in a process algebra setting. - Jürgen Schmidhuber:
Unsupervised Minimax: Adversarial Curiosity, Generative Adversarial Networks, and Predictability Minimization. - (Withdrawn) Combinatorial Optimization based Feature Selection Method: A study on Network Intrusion Detection.
- Artur Strzelecki, Paulina Rutecka:
The snippets taxonomy in web search engines. - Pinlong Zhao, Linlin Hou, Ou Wu:
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification. - Francisco J. Marmolejo Cossío, Eric Brigham, Benjamin Sela, Jonathan Katz:
Competing (Semi)-Selfish Miners in Bitcoin. - Tinghuai Wang, Lixin Fan, Huiling Wang:
Simultaneously Learning Architectures and Features of Deep Neural Networks. - Muhammad Tayyab, Abhijit Mahalanobis:
BasisConv: A method for compressed representation and learning in CNNs. - Michael Cary:
A Linear Algorithm for Minimum Dominator Colorings of Orientations of Paths. - Lukas Lindenroth, Richard James Housden, Shuangyi Wang, Junghwan Back, Kawal S. Rhode, Hongbin Liu:
Design and integration of a parallel, soft robotic end-effector for extracorporeal ultrasound. - Armand Boschin:
WikiDataSets : Standardized sub-graphs from WikiData. - Ziwei Ji, Matus Telgarsky:
A refined primal-dual analysis of the implicit bias. - Henry W. J. Reeve, Ata Kabán:
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise. - Alex Hernández-García, Peter König, Tim C. Kietzmann:
Learning robust visual representations using data augmentation invariance. - Yana Kashinskaya, Egor Samosvat, Akmal Artikov:
Spring-Electrical Models For Link Prediction. - Siavash Ghiasvand, Florina M. Ciorba:
Anomaly Detection in High Performance Computers: A Vicinity Perspective. - Liudmila Ostroumova Prokhorenkova:
Using synthetic networks for parameter tuning in community detection. - Matthieu Zimmer, Paul Weng:
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. - Jasper Kyle Catapang:
k-Nearest Neighbor Optimization via Randomized Hyperstructure Convex Hull. - Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. - Bogumil Kaminski, Pawel Pralat, François Théberge:
An Unsupervised Framework for Comparing Graph Embeddings. - Clifford Anderson-Bergman:
Latent Channel Networks. - Marjan Cugmas, Dawn DeLay, Ales Ziberna, Anuska Ferligoj:
Symmetric core-cohesive blockmodel in preschool children's interaction networks. - Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
CVPR19 Tracking and Detection Challenge: How crowded can it get? - Aryan Mobiny, Hien Van Nguyen, Supratik Moulik, Naveen Garg, Carol C. Wu:
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks. - Ran Zmigrod, Sabrina J. Mielke, Hanna M. Wallach, Ryan Cotterell:
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology. - Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Study of Compressed Randomized UTV Decompositions for Low-Rank Matrix Approximations in Data Science. - Kuldeep Marotirao Biradar, Ayushi Gupta, Murari Mandal, Santosh Kumar Vipparthi:
Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos. - Simon Besenthal, Sebastian Maisch, Timo Ropinski:
Multi-Resolution Rendering for Computationally Expensive Lighting Effects. - Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu:
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. - Vladimir Batagelj:
Corrected overlap weight and clustering coefficient. - Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya P. Razenshteyn, Sébastien Bubeck:
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. - Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat:
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. - Ons Khemiri:
Proposition d'une nouvelle approche d'extraction des motifs fermés fréquents. - Iman Tahamtan, Lutz Bornmann:
What Do Citation Counts Measure? An Updated Review of Studies on Citations in Scientific Documents Published between 2006 and 2018. - Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos:
DCASE 2019: CNN depth analysis with different channel inputs for Acoustic Scene Classification. - Renjie Lu:
Malware Detection with LSTM using Opcode Language. - Chen Qi, Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Honggang Zhang:
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing. - Kuai Fang, Chaopeng Shen, Daniel Kifer:
Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions. - Tianjun Zhang, Zhewei Yao, Amir Gholami, Kurt Keutzer, Joseph Gonzalez, George Biros, Michael W. Mahoney:
ANODEV2: A Coupled Neural ODE Evolution Framework. - Zhao Zhang, Jiahuan Ren, Weiming Jiang, Zheng Zhang, Richang Hong, Shuicheng Yan, Meng Wang:
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning. - Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama:
Write, Execute, Assess: Program Synthesis with a REPL. - Akshay Chaturvedi, Utpal Garain:
Mimic and Fool: A Task Agnostic Adversarial Attack. - Tomoyuki Kubota, Kohei Nakajima, Hirokazu Takahashi:
Dynamical Anatomy of NARMA10 Benchmark Task. - Subhajit Majhi, Patrick Mitran:
Dual-Band Fading Multiple Access Relay Channels. - Jing Yang, Fang-Wei Fu:
New dynamic and verifiable multi-secret sharing schemes based on LFSR public key cryptosystem. - Simon Jenni, Paolo Favaro:
On Stabilizing Generative Adversarial Training with Noise. - Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li:
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension. - Oksana Shadura, Brian Paul Bockelman, Vassil Vassilev:
Evolution of ROOT package management. - Oksana Shadura, Brian Paul Bockelman:
ROOT I/O compression algorithms and their performance impact within Run 3. - Renjie Lu:
SCGDet: Malware Detection using Semantic Features Based on Reachability Relation. - Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu:
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently. - Jun Sur Richard Park, Viet Ha Hoang:
Hierarchical multiscale finite element method for multi-continuum media. - Ajay Chander, Ramya Srinivasan:
Creation of User Friendly Datasets: Insights from a Case Study concerning Explanations of Loan Denials. - (Withdrawn) Gated CRF Loss for Weakly Supervised Semantic Image Segmentation.
- Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura:
Journal Name Extraction from Japanese Scientific News Articles. - Maria Lombardi, Davide Liuzza, Mario di Bernardo:
Deep learning control of artificial avatars in group coordination tasks. - Katrin Mang, Mirjam Walloth, Thomas Wick, Winnifried Wollner:
Mesh adaptivity for quasi-static phase-field fractures based on a residual-type a posteriori error estimator. - Andreas Dedner, Jan Giesselmann, Tristan Pryer, Jennifer K. Ryan:
Residual estimates for post-processors in elliptic problems. - Michael Cerny Green, Ahmed Khalifa, Athoug Alsoughayer, Divyesh Surana, Antonios Liapis, Julian Togelius:
Two-step Constructive Approaches for Dungeon Generation. - Yu Cheng, Ilias Diakonikolas, Rong Ge, David P. Woodruff:
Faster Algorithms for High-Dimensional Robust Covariance Estimation. - Yan Zhang, Antonios Garas, Frank Schweitzer:
Control contribution identifies top driver nodes in complex networks. - Conner Chyung, Michael Tsang, Yan Liu:
Extracting Interpretable Concept-Based Decision Trees from CNNs. - David Zuñiga-Noël, José-Raúl Ruiz-Sarmiento, Ruben Gomez-Ojeda, Javier González Jiménez:
Automatic Multi-Sensor Extrinsic Calibration for Mobile Robots. - Stefan Oehmcke, Fabian Gieseke:
Learning Selection Masks for Deep Neural Networks. - Kaveena Persand, Andrew Anderson, David Gregg:
A Taxonomy of Channel Pruning Signals in CNNs. - Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee:
StRE: Self Attentive Edit Quality Prediction in Wikipedia. - Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Model Predictive Control with Stability and Robustness Guarantees. - Antonio Candelieri, Stanislav Fedorov, Vincenzina Messina:
Efficient Kernel-based Subsequence Search for User Identification from Walking Activity. - Ahmad AlAmmouri, Jeffrey G. Andrews, François Baccelli:
Stability and Metastability of Traffic Dynamics in Uplink Random Access Networks. - Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network. - Laura Perez-Beltrachini, Yang Liu, Mirella Lapata:
Generating Summaries with Topic Templates and Structured Convolutional Decoders. - Difan Zou, Quanquan Gu:
An Improved Analysis of Training Over-parameterized Deep Neural Networks. - Taewan Kim, Joydeep Ghosh:
On Single Source Robustness in Deep Fusion Models. - George Adaimi, Sven Kreiss, Alexandre Alahi:
Rethinking Person Re-Identification with Confidence. - Martin J. Wainwright:
Variance-reduced Q-learning is minimax optimal. - David Vilares, Carlos Gómez-Rodríguez:
HEAD-QA: A Healthcare Dataset for Complex Reasoning. - Jonas Fritzsch, Justus Bogner, Stefan Wagner, Alfred Zimmermann:
Microservices Migration in Industry: Intentions, Strategies, and Challenges. - António Casimiro, Emelie Ekenstedt, Elad Michael Schiller:
Membership-based Manoeuvre Negotiation in Autonomous and Safety-critical Vehicular Systems. - Alaa Maalouf, Ibrahim Jubran, Dan Feldman:
Fast and Accurate Least-Mean-Squares Solvers. - Amita Misra, Mansurul Bhuiyan, Jalal Mahmud, Saurabh Tripathy:
Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations. - Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, Sankeerth Rao:
Communication and Memory Efficient Testing of Discrete Distributions. - Leixin Zhou, Zisha Zhong, Abhay Shah, Xiaodong Wu:
3-D Surface Segmentation Meets Conditional Random Fields. - Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai:
Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records. - Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling:
Data-Free Quantization through Weight Equalization and Bias Correction. - Stanislav Fort, Stanislaw Jastrzebski:
Large Scale Structure of Neural Network Loss Landscapes. - Zhile Ren, Erik B. Sudderth:
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts. - Sabrina J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner:
What Kind of Language Is Hard to Language-Model? - Aayush Bansal, Yaser Sheikh, Deva Ramanan:
Shapes and Context: In-the-Wild Image Synthesis & Manipulation. - Dinh Nho Hao, Tran Nhan Tam Quyen, Nguyen Thanh Son:
Convergence analysis of a Crank-Nicolson Galerkin method for an inverse source problem for parabolic systems with boundary observations. - Ofir Nachum, Yinlam Chow, Bo Dai, Lihong Li:
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections. - Qiuyu Zhu, Zikuang He, Xin Ye:
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance. - Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
Improving Reproducible Deep Learning Workflows with DeepDIVA. - Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht:
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning. - Emmanouil Kakouris, Savvas P. Triantafyllou:
Phase-field material point method for dynamic brittle fracture with isotropic and anisotropic surface energy. - Debopam Bhattacherjee, Muhammad Tirmazi, Ankit Singla:
Measuring and exploiting the cloud consolidation of the Web. - Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell:
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. - Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth:
PerspectroScope: A Window to the World of Diverse Perspectives. - Ziyi Wang, Marcus A. Pereira, Evangelos A. Theodorou:
Deep 2FBSDEs for Systems with Control Multiplicative Noise. - Wlodzimierz Drabent:
The Prolog debugger and declarative programming. - Vered Shwartz:
A Systematic Comparison of English Noun Compound Representations. - Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki:
Issues with post-hoc counterfactual explanations: a discussion. - Victoria L. Cooper, James C. Bieron, Pieter Peers:
Estimating Homogeneous Data-driven BRDF Parameters from a Reflectance Map under Known Natural Lighting. - Muddassar Hussain, Nicolò Michelusi:
Second-best Beam-Alignment via Bayesian Multi-Armed Bandits. - Fernando Gama, Joan Bruna, Alejandro Ribeiro:
Stability of Graph Scattering Transforms. - Marco Baiesi:
Power Gradient Descent. - Chupeng Ma, Yongwei Zhang, Jun Zou:
Mathematical and numerical analysis of a nonlocal Drude model in nanoplasmonics. - Michele Covell, David Marwood, Shumeet Baluja, Nick Johnston:
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference. - Chaomei Chen, Min Song:
Visualizing a Field of Research: A Methodology of Systematic Scientometric Reviews. - Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong:
Suppressing Model Overfitting for Image Super-Resolution Networks. - Matthew Abate, Samuel Coogan, Eric Feron:
Lyapunov Differential Equation Hierarchy and Polynomial Lyapunov Functions for Switched Linear Systems. - Matt Martone, Catherine Pavlov, Adam Zeloof, Vivaan Bahl:
Enhancing the Vertical Mobility of a Robot Hexapod Using Microspines. - Jacobo Roa-Vicens, Cyrine Chtourou, Angelos Filos, Francisco Rullan, Yarin Gal, Ricardo Silva:
Towards Inverse Reinforcement Learning for Limit Order Book Dynamics. - Jiaxuan You, Rex Ying, Jure Leskovec:
Position-aware Graph Neural Networks. - Sabri Pllana, Suejb Memeti, Joanna Kolodziej:
Customizing Pareto Simulated Annealing for Multi-objective Optimization of Control Cabinet Layout. - Raimil Cruz, Éric Tanter:
Polymorphic Relaxed Noninterference. - Moritz Baum, Valentin Buchhold, Jonas Sauer, Dorothea Wagner, Tobias Zündorf:
UnLimited TRAnsfers for Multi-Modal Route Planning: An Efficient Solution. - Ping Hu, Ximeng Sun, Kate Saenko, Stan Sclaroff:
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition. - Javier Sánchez-Junquera, Paolo Rosso, Manuel Montes-y-Gómez, Simone Paolo Ponzetto:
Unmasking Bias in News. - Kit Kuksenok:
Toward Best Practices for Explainable B2B Machine Learning. - Kevin Christensen, Martial Hebert:
Edge-Direct Visual Odometry. - Matthieu Latapy, Clémence Magnien, Tiphaine Viard:
Weighted, Bipartite, or Directed Stream Graphs for the Modeling of Temporal Networks. - Johan von Tangen Sivertsen:
Similarity Problems in High Dimensions. - Zohar S. Karnin, Edo Liberty:
Discrepancy, Coresets, and Sketches in Machine Learning. - Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent, Simon Lacoste-Julien:
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks. - Andrew L. Orekhov, Colette Abah, Nabil Simaan:
Snake-Like Robots for Minimally Invasive, Single Port, and Intraluminal Surgeries. - Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez:
Task-Aware Deep Sampling for Feature Generation. - Yunhao Tang, Shipra Agrawal, Yuri Faenza:
Reinforcement Learning for Integer Programming: Learning to Cut. - Vicky H. Mak-Hau, John Yearwood:
A mixed-integer linear programming approach for soft graph clustering. - Thomas Schneider, Amos Treiber:
A Comment on Privacy-Preserving Scalar Product Protocols as proposed in "SPOC". - Wooseok Ha, Kimon Fountoulakis, Michael W. Mahoney:
Statistical guarantees for local graph clustering. - Peichang Guo, Qiang Ye:
On regularization for a convolutional kernel in neural networks. - Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake, Mirai Tanaka:
Semi-flat minima and saddle points by embedding neural networks to overparameterization. - Thomas Führer, Norbert Heuer, Francisco-Javier Sayas:
An ultraweak formulation of the Reissner-Mindlin plate bending model and DPG approximation. - Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. - Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou:
Multiple instance learning with graph neural networks. - Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina:
Run-Time Efficient RNN Compression for Inference on Edge Devices. - Sam Shleifer, Eric Prokop:
Using Small Proxy Datasets to Accelerate Hyperparameter Search. - Arturo Gomez Chavez, Qingwen Xu, Christian A. Mueller, Sören Schwertfeger, Andreas Birk:
Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues. - Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Compressive Hyperspherical Energy Minimization. - Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas:
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. - Dan Feldman, Zahi Kfir, Xuan Wu:
Coresets for Gaussian Mixture Models of Any Shape. - Md. Khaledur Rahman, M. Sohel Rahman:
Prefix Block-Interchanges on Binary and Ternary Strings. - Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu:
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. - Jackie Baek, Will Ma:
Prophet Inequalities on the Intersection of a Matroid and a Graph. - Ngoc M. Tran, Hieu Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen:
Does BLEU Score Work for Code Migration? - Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, Percy Liang:
SPoC: Search-based Pseudocode to Code. - Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy, Sunil Hadap, Jonathan Eisenmann, Jean-François Lalonde:
All-Weather Deep Outdoor Lighting Estimation. - Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang:
Inferring 3D Shapes from Image Collections using Adversarial Networks. - Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Recurrent U-Net for Resource-Constrained Segmentation. - Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh:
From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation. - Ciprian-Octavian Truica, Adriana Barnoschi:
Innovating HR Using an Expert System for Recruiting IT Specialists - ESRIT. - Yuanran Zhu, Daniele Venturi:
Generalized Langevin equations for systems with local interactions. - Rémi Imbach, Victor Y. Pan:
Polynomial root clustering and explicit deflation. - Shawn Meier, Sergio Mover, Bor-Yuh Evan Chang:
Lifestate: Event-Driven Protocols and Callback Control Flow (Extended Version). - Moez A. AbdelGawad:
Using Category Theory in Modeling Generics in OOP (Outline). - Senzhang Wang, Jiannong Cao, Philip S. Yu:
Deep Learning for Spatio-Temporal Data Mining: A Survey. - Victor Y. Pan, Qi Luan, John Svadlenka:
Low Rank Approximation Directed by Leverage Scores and Computed at Sub-linear Cost. - Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel:
Non-Parametric Calibration for Classification. - (Withdrawn) Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach.
- Sinan G. Aksoy, Kathleen E. Nowak, Emilie Purvine, Stephen J. Young:
Relative Hausdorff Distance for Network Analysis. - Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth:
Partial Or Complete, That's The Question. - Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth:
CogCompTime: A Tool for Understanding Time in Natural Language Text. - Qiang Ning, Zhili Feng, Hao Wu, Dan Roth:
Joint Reasoning for Temporal and Causal Relations. - Qiang Ning, Zhili Feng, Dan Roth:
A Structured Learning Approach to Temporal Relation Extraction. - Cheng Chang, Himanshu Rai, Satya Krishna Gorti, Junwei Ma, Chundi Liu, Guang Wei Yu, Maksims Volkovs:
Semi-Supervised Exploration in Image Retrieval. - Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola:
A Stratified Approach to Robustness for Randomly Smoothed Classifiers. - Xiangxi Mo, Ruizhe Cheng, Tianyi Fang:
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning. - Sajad Homayoun, Ali Dehghantanha, Reza M. Parizi, Kim-Kwang Raymond Choo:
A Blockchain-based Framework for Detecting Malicious Mobile Applications in App Stores. - Kazuaki Kondo, Daisuke Deguchi, Atsushi Shimada:
Hand Orientation Estimation in Probability Density Form. - Reza M. Parizi, Sajad Homayoun, Abbas Yazdinejad, Ali Dehghantanha, Kim-Kwang Raymond Choo:
Integrating Privacy Enhancing Techniques into Blockchains Using Sidechains. - Hussein S. Al-Olimat, Valerie L. Shalin, Krishnaprasad Thirunarayan, Joy Prakash Sain:
Towards Geocoding Spatial Expressions. - Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Hideki Nakayama, Yuanzhong Li:
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection. - Martianus Frederic Ezerman, San Ling, Buket Özkaya, Patrick Solé:
Good Stabilizer Codes from Quasi-Cyclic Codes over F4 and F9. - Hasina Rahman, Zeenat Rehena, Nandini Mukherjee:
Sink Mobility To Ensure Coverage in Multi-Partitioned Wireless Sensor Network. - Martianus Frederic Ezerman, San Ling, Buket Özkaya, Jareena Tharnnukhroh:
Spectral Bounds for Quasi-Twisted Codes. - Xinglong Zhang, Wei Jiang, Zhizhong Li, Shengli Song:
A hierarchical Lyapunov-based cascade adaptive control scheme for lower-limb exoskeleton. - Minz Won, Sanghyuk Chun, Xavier Serra:
Toward Interpretable Music Tagging with Self-Attention. - Kan Wang, Changxing Ding, Stephen J. Maybank, Dacheng Tao:
CDPM: Convolutional Deformable Part Models for Person Re-identification. - Sheng Chen, Xu Wang, Chao Chen, Yifan Lu, Xijin Zhang, Linfu Wen:
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators. - Patrick S. H. Lewis, Ludovic Denoyer, Sebastian Riedel:
Unsupervised Question Answering by Cloze Translation. - Étienne André, Benoît Delahaye, Paulin Fournier:
Consistency in Parametric Interval Probabilistic Timed Automata. - Elvira Albert, Jesús Correas, Pablo Gordillo, Guillermo Román-Díez, Albert Rubio:
SAFEVM: A Safety Verifier for Ethereum Smart Contracts. - Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak, Sebastian Riedel, Jun Wang:
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. - Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal:
Indoor image representation by high-level semantic features. - Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li:
Incremental Learning from Scratch for Task-Oriented Dialogue Systems. - Seyed Mohammad Hosseini, Amir Hossein Jahangir:
An Effective Payload Attribution Scheme for Cybercriminal Detection Using Compressed Bitmap Index Tables and Traffic Downsampling. - Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann:
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. - Lloyd Allison, Arun Siddharth Konagurthu, Daniel F. Schmidt:
On Universal Codes for Integers: Wallace Tree, Elias Omega and Variations. - Ishay Haviv:
Approximating the Orthogonality Dimension of Graphs and Hypergraphs. - Thembelihle Dlamini, Ángel Fernández Gambín:
Adaptive Resource Management for a Virtualized Computing Platform within Edge Computing. - Kai Wang, Xiaojun Quan, Rui Wang:
BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization. - Justus Bogner, Jonas Fritzsch, Stefan Wagner, Alfred Zimmermann:
Assuring the Evolvability of Microservices: Insights into Industry Practices and Challenges. - Ming Zhu, Xiao-Yang Liu, Xiaodong Wang:
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks. - Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun:
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations. - Julien Adam, Maxime Kermarquer, Jean-Baptiste Besnard, Leonardo Bautista-Gomez, Marc Pérache, Patrick Carribault, Julien Jaeger, Allen D. Malony, Sameer Shende:
Checkpoint/restart approaches for a thread-based MPI runtime. - Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin:
Real-time Attention Based Look-alike Model for Recommender System. - Shuo Wan, Jiaxun Lu, Pingyi Fan, Khaled Ben Letaief:
Towards Big data processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System. - Pieter Robberechts, Jan Van Haaren, Jesse Davis:
Who Will Win It? An In-game Win Probability Model for Football. - Steven Hansen, Will Dabney, André Barreto, Tom Van de Wiele, David Warde-Farley, Volodymyr Mnih:
Fast Task Inference with Variational Intrinsic Successor Features. - Jonathan Fiat, Eran Malach, Shai Shalev-Shwartz:
Decoupling Gating from Linearity. - Satoshi Tomioka, Shusuke Nishiyama, Yutaka Matsumoto, Naoki Miyamoto:
Desingularization of matrix equations employing hypersingular integrals in boundary element methods using double nodes. - Kai Keller, Leonardo Bautista-Gomez:
Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets. - Nadeesha Pathirana, Sandaru Seneviratne, Rangika Samarawickrama, Shane Wolff, Charith Chitraranjan, Uthayasanker Thayasivam, Tharindu Ranasinghe:
Concept Discovery through Information Extraction in Restaurant Domain. - Chulhong Min, Euihyeok Lee, Souneil Park, Seungwoo Kang:
Tiger: Wearable Glasses for the 20-20-20 Rule to Alleviate Computer Vision Syndrome. - Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. - Vinit Ravishankar, Lilja Øvrelid, Erik Velldal:
Probing Multilingual Sentence Representations With X-Probe. - Priyanka Agrawal, Parag Jain, Ayushi Dalmia, Abhishek Bansal, Ashish R. Mittal, Karthik Sankaranarayanan:
Unified Semantic Parsing with Weak Supervision. - Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood:
Power-law Verification for Event Detection at Multi-spatial Scales from Geo-tagged Tweet Streams. - Nico Potyka, Sylwia Polberg, Anthony Hunter:
Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report). - Nuno Guedelha, Silvio Traversaro, Daniele Pucci:
Identification of Motor Parameters on Coupled Joints. - Zawar Hussain, Michael Sheng, Wei Emma Zhang:
Different Approaches for Human Activity Recognition: A Survey. - Matteo P. Lanaro, Hélène Perrier, David Coeurjolly, Victor Ostromoukhov, Alessandro Rizzi:
Blue-noise sampling for human retinal cone spatial distribution modeling. - Davide Magrin, Martina Capuzzo, Andrea Zanella:
A Thorough Study of LoRaWAN Performance Under Different Parameter Settings. - Florian Köpf, Johannes Westermann, Michael Flad, Sören Hohmann:
Reinforcement-Learning-based Adaptive Optimal Control for Arbitrary Reference Tracking. - Sabrina Bouchouika, Isma Bouchemakh, Éric Sopena:
Broadcasts on Paths and Cycles. - Yuka Takahashi, Oksana Shadura, Vassil Vassilev:
Migrating large codebases to C++ Modules. - Fan Yang, Alina Vereshchaka, Bruno Lepri, Wen Dong:
Optimizing city-scale traffic flows through modeling isolated observations of vehicle movements. - Michael Cerny Green, Christoph Salge, Julian Togelius:
Organic Building Generation in Minecraft. - Bruno Baynat, Gewu Bu, Maria Potop-Butucaru:
Markovian model for Broadcast in Wireless Body Area Networks. - Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet:
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. - Di Chai, Leye Wang, Kai Chen, Qiang Yang:
Secure Federated Matrix Factorization. - Zihan Zhang, Xiangyang Ji:
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function. - Martin Peter Christiansen:
Co-modelling of Agricultural Robotic Systems. - Ekim Yurtsever, Jacob Lambert, Alexander Carballo, Kazuya Takeda:
A Survey of Autonomous Driving: Common Practices and Emerging Technologies. - Neelabja Chatterjee, Ulrik Skre Fjordholm:
Convergence of second-order, entropy stable methods for multi-dimensional conservation laws. - (Withdrawn) LED2Net: Deep Illumination-aware Dehazing with Low-light and Detail Enhancement.
- Yunlong Liu, Jianyang Zheng:
Online Learning and Planning in Partially Observable Domains without Prior Knowledge. - Hamed Talebi, Amin Ranjbar, Alireza Davoudi, Hamed Gholami, Mohammad Bagher Menhaj:
High Accuracy Classification of White Blood Cells using TSLDA Classifier and Covariance Features. - Olivier Bégassat, Blazej Kolad, Nicolas Gailly, Nicolas Liochon:
Handel: Practical Multi-Signature Aggregation for Large Byzantine Committees. - Hossein Monshizadeh Naeen, Mehrdad Jalali:
A decentralized trust-aware collaborative filtering recommender system based on weighted items for social tagging systems. - Nachwa Abou Bakr, James L. Crowley, Rémi Ronfard:
Recognizing Manipulation Actions from State-Transformations. - Laura Aina, Kristina Gulordava, Gemma Boleda:
Putting words in context: LSTM language models and lexical ambiguity. - Christian Schindelhauer, Aditya Oak, Thomas Janson:
Collaborative Broadcast in O(log log n) Rounds. - Ahmad Kalhor, Mohsen Saffar, Melika Kheirieh, Somayyeh Hoseinipoor, Babak Nadjar Araabi:
Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems. - Ahmed Khalifa, Michael Cerny Green, Diego Pérez-Liébana, Julian Togelius:
General Video Game Rule Generation. - Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun:
Kaskade: Graph Views for Efficient Graph Analytics. - Alexandre Blanché, Haruka Mizuta, Paul Ouvrard, Akira Suzuki:
Decremental Optimization of Dominating Sets Under Reachability Constraints. - Zhibo Chen, Jiahua Xu, Chaoyi Lin, Wei Zhou:
Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory. - Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn:
A Passivity Enforcement Technique for Forced Oscillation Source Location. - Graham Campbell:
Efficient Graph Rewriting. - Jielei Chu, Hongjun Wang, Jing Liu, Zeng Yu, Tianrui Li:
DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering. - Alberto Alvarez, Steve Dahlskog, José M. Font, Julian Togelius:
Empowering Quality Diversity in Dungeon Design with Interactive Constrained MAP-Elites. - Günther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Parameterized Structured Pruning for Deep Neural Networks. - Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning with Self-Supervision. - Carmen Gräßle, Michael Hinze, Stefan Volkwein:
Model Order Reduction by Proper Orthogonal Decomposition. - Xin Li, Rui Cao, Dongxiao Zhu:
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays. - Ian Abraham, Todd D. Murphey:
Active Learning of Dynamics for Data-Driven Control Using Koopman Operators. - Silvia Bucci, Antonio D'Innocente, Tatiana Tommasi:
Tackling Partial Domain Adaptation with Self-Supervision. - Zahra Rahimpour, Gregor Verbic, Archie C. Chapman:
Macro-action Multi-timescale Dynamic Programming for Energy Management with Phase Change Materials. - Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira:
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification. - Ines Rieger, Thomas Hauenstein, Sebastian Hettenkofer, Jens-Uwe Garbas:
Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets. - Miel Sharf, Anne Romer, Daniel Zelazo, Frank Allgöwer:
Model-Free Practical Cooperative Control for Diffusively Coupled Systems. - Anish Mathew, Deepak P, Sahely Bhadra:
Warping Resilient Time Series Embeddings. - Mark Braverman, Jieming Mao, Yuval Peres:
Sorted Top-k in Rounds. - Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal:
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension. - Ellen De Mello Koch, Robert De Mello Koch, Ling Cheng:
Is Deep Learning an RG Flow? - Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel:
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation. - Lucas Gren, Alexander Wong, Erik Kristoffersson:
Choosing agile or plan-driven enterprise resource planning (ERP) implementations - A study on 21 implementations from 20 companies. - John Bradshaw, Brooks Paige, Matt J. Kusner, Marwin H. S. Segler, José Miguel Hernández-Lobato:
A Model to Search for Synthesizable Molecules. - Ferenc Illés, Péter Kerényi:
Estimation of the Shapley value by ergodic sampling. - Ramakanth Pasunuru, Mohit Bansal:
Continual and Multi-Task Architecture Search. - Saeed Moazami, Hassan Zargarzadeh, Srinivas Palanki:
Kinematics of Spherical Robots Rolling Over 3D Terrains. - Junho Jo, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho:
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network. - Jiawei Wang, Li Li, Andreas Zeller:
Better Code, Better Sharing: On the Need of Analyzing Jupyter Notebooks. - Yikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, Yongfeng Zhang:
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation. - Viray Parimi, Arindam Pal, Sushmita Ruj, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
Understanding Vulnerability of Communities in Complex Networks. - Hado van Hasselt, Matteo Hessel, John Aslanides:
When to use parametric models in reinforcement learning? - Shahbaz Rezaei, Xin Liu:
Multitask Learning for Network Traffic Classification. - Yuxiang Dai, Peixian Zhuang:
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network. - Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine:
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning. - Finn Kuusisto, John W. Steill, Zhaobin Kuang, James A. Thomson, David Page, Ron M. Stewart:
A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications. - Baptiste Angles, Daniel Rebain, Miles Macklin, Brian Wyvill, Loic Barthe, John P. Lewis, Javier von der Pahlen, Shahram Izadi, Julien P. C. Valentin, Sofien Bouaziz, Andrea Tagliasacchi:
VIPER: Volume Invariant Position-based Elastic Rods. - Manuel J. Marín-Jiménez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman:
LAEO-Net: revisiting people Looking At Each Other in videos. - Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang:
GluonTS: Probabilistic Time Series Models in Python. - Manuel Lafond, Binhai Zhu, Peng Zou:
The Tandem Duplication Distance is NP-hard. - Aurélien Bourquard, Jeff Yan:
Differential Imaging Forensics. - Timothy Hanlon, Johan Reimann, Monica A. Soare, Anjali Singhal, James Grande, Marc Edgar, Kareem S. Aggour, Joseph Vinciquerra:
Artificial Intelligence Enabled Material Behavior Prediction. - Vitaly Feldman:
Does Learning Require Memorization? A Short Tale about a Long Tail. - Oisin Mac Aodha, Elijah Cole, Pietro Perona:
Presence-Only Geographical Priors for Fine-Grained Image Classification. - Lisa Lee, Benjamin Eysenbach, Emilio Parisotto, Eric P. Xing, Sergey Levine, Ruslan Salakhutdinov:
Efficient Exploration via State Marginal Matching. - Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko:
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism. - Evgeny Nikulchev, Dmitry Ilin, Pavel Kolyasnikov, Ilya Zakharov, Sergey Malykh:
Programming Technologies for the Development of Web-Based Platform for Digital Psychological Tools. - Nguyen Thi Thanh Van, Tran Ngoc Thinh, Le Thanh Sach:
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS. - Jaime Arias, Carlos E. Budde, Wojciech Penczek, Laure Petrucci, Mariëlle Stoelinga:
Hackers vs. Security: Attack-Defence Trees as Asynchronous Multi-Agent Systems. - Omry Cohen, Or Malka, Zohar Ringel:
Learning Curves for Deep Neural Networks: A Gaussian Field Theory Perspective. - Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi:
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. - Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks. - Tom Jurgenson, Edward Groshev, Aviv Tamar:
Sub-Goal Trees - a Framework for Goal-Directed Trajectory Prediction and Optimization. - Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang:
Pairwise Fairness for Ranking and Regression. - Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, Panqu Wang:
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds. - Bill Stoddart:
The Halting Paradox. - Mehmet Fatih Aktas, Emina Soljanin:
Optimizing Redundancy Levels in Master-Worker Compute Clusters for Straggler Mitigation. - Hyung-Jin Yoon, Wenbin Wan, Hunmin Kim, Naira Hovakimyan, Lui Sha, Petros G. Voulgaris:
Towards Resilient UAV: Escape Time in GPS Denied Environment with Sensor Drift. - Sergi Abadal, Eduard Alarcón:
Data Conversion in Area-Constrained Applications: the Wireless Network-on-Chip Case. - Qianhui Liang, Zhoutong Wang:
Uncovering Dominant Social Class in Neighborhoods through Building Footprints: A Case Study of Residential Zones in Massachusetts using Computer Vision. - David F. Anderson, Kurt W. Ehlert:
Conditional Monte Carlo for Reaction Networks. - Tuo Mao, Adriana Simona Mihaita, Chen Cai:
Traffic signal control optimization under severe incident conditions using Genetic Algorithm. - Sergi Abadal, Adrián Marruedo, Antonio Franques, Hamidreza Taghvaee, Albert Cabellos-Aparicio, Jin Zhou, Josep Torrellas, Eduard Alarcón:
Opportunistic Beamforming in Wireless Network-on-Chip. - Lydia T. Liu, Horia Mania, Michael I. Jordan:
Competing Bandits in Matching Markets. - Ronnie E. S. Santos, Maria Teresa Baldassarre, Fabio Queda Bueno da Silva, Cleyton V. C. de Magalhães, Luiz Fernando Capretz, Jorge S. Correia Neto:
Work Design and Job Rotation in Software Engineering: Results from an Industrial Study. - Christian Zinke-Wehlmann, Amit Kirschenbaum:
Linking geospatial data with Geo-L - analysis and experiments of big data readiness of common technologies. - James Stright, Chris S. Edrington:
A steady-state stability analysis of uniform synchronous power grid topologies. - Tingwu Wang, Yuhao Zhou, Sanja Fidler, Jimmy Ba:
Neural Graph Evolution: Towards Efficient Automatic Robot Design. - Kiat Chuan Tan, Yulong Liu, Barbara Ambrose, Melissa Tulig, Serge J. Belongie:
The Herbarium Challenge 2019 Dataset. - Victor Zhong, Luke Zettlemoyer:
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. - Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, Gaurav S. Sukhatme:
Meta-Learning via Learned Loss. - Leo F. Isikdogan, Timo Gerasimow, Gilad Michael:
Eye Contact Correction using Deep Neural Networks. - Brenden M. Lake:
Compositional generalization through meta sequence-to-sequence learning. - Shoupu Wan:
Loop Programming Practices that Simplify Quicksort Implementations. - Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak Nadjar Araabi:
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. - Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi:
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian. - Hussein Mozannar, Karl El Hajal, Elie Maamary, Hazem M. Hajj:
Neural Arabic Question Answering. - Jose David Mireles, Eric Ficke, Jin-Hee Cho, Patrick M. Hurley, Shouhuai Xu:
Metrics Towards Measuring Cyber Agility. - Vasileios Tsiolakis, Matteo Giacomini, Rubén Sevilla, Carsten Othmer, Antonio Huerta:
Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM. - Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. - Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre:
Analyzing the Limitations of Cross-lingual Word Embedding Mappings. - Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Rajiv Ramnath:
A Countrywide Traffic Accident Dataset. - Asit Kumar Pradhan, Vamsi K. Amalladinne, Avinash Vem, Krishna R. Narayanan, Jean-François Chamberland:
A Joint Graph Based Coding Scheme for the Unsourced Random Access Gaussian Channel. - Joshua Robinson, Suvrit Sra, Stefanie Jegelka:
Flexible Modeling of Diversity with Strongly Log-Concave Distributions. - Amparo Gil, Javier Segura, Nico M. Temme:
Fast, reliable and unrestricted iterative computation of Gauss-Hermite and Gauss-Laguerre quadratures. - Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins:
Synthetic QA Corpora Generation with Roundtrip Consistency. - Erik Englesson, Hossein Azizpour:
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation. - Deepan Muthirayan, Pramod P. Khargonekar:
Memory Augmented Neural Network Adaptive Controller for Strict Feedback Nonlinear Systems. - Ivan Bliznets, Danil Sagunov:
Lower Bounds for the Happy Coloring Problems. - Mark E. Glickman, Jason I. Brown, Ryan B. Song:
(A) Data in the Life: Authorship Attribution of Lennon-McCartney Songs. - Arip Asadulaev, Igor Kuznetsov, Andrey Filchenkov:
Linear Distillation Learning. - David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio:
Tackling Climate Change with Machine Learning. - Arip Asadulaev, Gideon Stein, Igor Kuznetsov, Andrey Filchenkov:
Jacobian Policy Optimizations. - Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets. - Felix Stahlberg, Danielle Saunders, Adrià de Gispert, Bill Byrne:
Cued@wmt19: ewc&lms. - Radha Manisha Kopparti, Tillman Weyde:
Factors for the Generalisation of Identity Relations by Neural Networks. - Hao Chen, Yirui Cong, Xiangke Wang, Lincheng Shen:
Coordinated Path Following Control of Fixed-wing Unmanned Aerial Vehicles. - Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa:
Money Cannot Buy Everything: Trading Infinite Location Data Streams with Bounded Individual Privacy Loss. - Arijit Bishnu, Arijit Ghosh, Sudeshna Kolay, Gopinath Mishra, Saket Saurabh:
Fixed-Parameter Tractability of Graph Deletion Problems over Data Streams. - Thomas Merkh, Guido Montúfar:
Factorized Mutual Information Maximization. - William Harvey, Michael Teng, Frank Wood:
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training. - Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris:
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. - Shixiang Zhu, Shuang Li, Yao Xie:
Reinforcement Learning of Spatio-Temporal Point Processes. - Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. - Shariq Riaz, Pierluigi Mancarella:
On Feasibility and Flexibility Operating Regions of Virtual Power Plants and TSO/DSO interfaces. - Yifan Peng, Shankai Yan, Zhiyong Lu:
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets. - Abinash Nayak:
Inverse Problems, Regularization and Applications. - Jae-Seok Choi, Yongwoo Kim, Munchurl Kim:
S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks. - Flavio Di Palo, Natalie Parde:
Enriching Neural Models with Targeted Features for Dementia Detection. - Kazuki Kai, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda, Tomasz Kociumaka:
On Longest Common Property Preserved Substring Queries. - Pengfei Chen, Weiwen Liu, Chang-Yu Hsieh, Guangyong Chen, Shengyu Zhang:
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. - Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang:
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning. - Alberto Calderone:
A Computational Analysis of Natural Languages to Build a Sentence Structure Aware Artificial Neural Network. - Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation Characterized by Number of Neurons. - Lasitha Piyathilaka, Sarath Kodagoda:
Understanding Human Context in 3D Scenes by Learning Spatial Affordances with Virtual Skeleton Models. - Xiuwen Zheng, Qiyu Liu, Amarnath Gupta:
Scalable Community Detection over Geo-Social Network. - Sho Takase, Jun Suzuki, Masaaki Nagata:
Character n-gram Embeddings to Improve RNN Language Models. - Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR. - Jingliang Hu, Danfeng Hong, Xiao Xiang Zhu:
MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data. - Mojtaba Moattari, Emad Roshandel, Shima Kamyab, Zohreh Azimifar:
Meta-heuristic for non-homogeneous peak density spaces and implementation on 2 real-world parameter learning/tuning applications. - Sina Zarrieß, David Schlangen:
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. - Liqin Qian, Xiwang Cao, Wei Lu, Xia Wu:
New constructions of asymptotically optimal codebooks via character sums over a local ring. - Eytan Lifshitz, Dani Lischinski:
Illuminant Chromaticity Estimation from Interreflections. - Adrien Coppens, Tom Mens, Mohamed-Anis Gallas:
Parametric Modelling Within Immersive Environments: Building a Bridge Between Existing Tools and Virtual Reality Headsets. - Tian Min, Wei Cai:
A Security Case Study for Blockchain Games. - Da Sun Handason Tam, Wing Cheong Lau, Bin Hu, Qiufang Ying, Dah Ming Chiu, Hong Liu:
Identifying Illicit Accounts in Large Scale E-payment Networks - A Graph Representation Learning Approach. - Pei Zhang, Boxing Chen, Niyu Ge, Kai Fan:
Lattice Transformer for Speech Translation. - Chrysoula Stathakopoulou, Tudor David, Marko Vukolic:
Mir-BFT: High-Throughput BFT for Blockchains. - Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling:
Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems. - Tian Min, Hanyi Wang, Yaoze Guo, Wei Cai:
Blockchain Games: A Survey. - Yu-Wei Kao, Hung-Hsuan Chen:
Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation. - Feier Lian, Aranya Chakrabortty, Alexandra Duel-Hallen:
Game-Theoretic Mixed H2/H∞ Control with Sparsity Constraint for Multi-agent Networked Control Systems. - Huib Donkers, Bart M. P. Jansen:
A Turing Kernelization Dichotomy for Structural Parameterizations of F-Minor-Free Deletion. - Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei:
Learning Spatio-Temporal Representation with Local and Global Diffusion. - Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang, Rongzhong Lian, Haifeng Wang:
Proactive Human-Machine Conversation with Explicit Conversation Goals. - Tomasz Brengos, Marco Peressotti:
Two modes of recognition: algebra, coalgebra, and languages. - Rachid Guerraoui, Petr Kuznetsov, Matteo Monti, Matej Pavlovic, Dragos-Adrian Seredinschi:
The Consensus Number of a Cryptocurrency (Extended Version). - Nikos Pitsianis, Alexandros-Stavros Iliopoulos, Dimitris Floros, Xiaobai Sun:
Spaceland Embedding of Sparse Stochastic Graphs. - Shuyuan Li, Jianguo Li, Weiyao Lin, Hanlin Tang:
Amur Tiger Re-identification in the Wild. - Mark Kozdoba, Edward Moroshko, Shie Mannor, Koby Crammer:
Variance Estimation For Online Regression via Spectrum Thresholding. - Thomas Ehrhard, Farzad Jafar-Rahmani:
On the denotational semantics of Linear Logic with least and greatest fixed points of formulas. - Sudhir Kumar, Mithun Das Gupta:
c+GAN: Complementary Fashion Item Recommendation. - Rajeev Sahay, Rehana Mahfuz, Aly El Gamal:
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks. - Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao:
Antonym-Synonym Classification Based on New Sub-space Embeddings. - Thomas E. Kent, Arthur G. Richards:
Decentralised Multi-Demic Evolutionary Approach to the Dynamic Multi-Agent Travelling Salesman Problem. - Christian Engwer, Sandra May, Andreas Nüßing, Florian Streitbürger:
A stabilized DG cut cell method for discretizing the linear transport equation. - Santosh Parajuli, Ram Kaji Budhathoki:
Comparative Analysis of Switching Dynamics in Different Memristor Models. - Pushpendre Rastogi:
Representation Learning for Words and Entities. - Uduak Augustine Umoh, Edward Udo, Emmanuel E. Nyoho:
Support Vector Machine-Based Fire Outbreak Detection System. - Tian Bao, Brooke N. Klatt, Susan L. Whitney, Kathleen H. Sienko, Jenna Wiens:
Automatically Evaluating Balance: A Machine Learning Approach. - Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu:
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction. - Xishuang Dong, Uboho Victor, Shanta Chowdhury, Lijun Qian:
Deep Two-path Semi-supervised Learning for Fake News Detection. - Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Training Neural Networks for and by Interpolation. - Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang:
Calibration, Entropy Rates, and Memory in Language Models. - Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song:
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding. - Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Elmar Zander:
Post-Processing of High-Dimensional Data. - Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
KCAT: A Knowledge-Constraint Typing Annotation Tool. - Haotao Wang, Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin:
Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset. - Xinli Cai, Peng Zhou, Shuhan Ding, Guoyang Chen, Weifeng Zhang:
Sionnx: Automatic Unit Test Generator for ONNX Conformance. - Brian Hentschel, Peter J. Haas, Yuanyuan Tian:
Temporally-Biased Sampling Schemes for Online Model Management. - Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May:
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation. - David Leslie:
Understanding artificial intelligence ethics and safety. - Laura Martinus, Jade Z. Abbott:
A Focus on Neural Machine Translation for African Languages. - Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan:
Grid R-CNN Plus: Faster and Better. - Masaru Isonuma, Junichiro Mori, Ichiro Sakata:
Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking. - Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Cooperative Sensing in Deep RL-Based Image-to-Decision Proactive Handover for mmWave Networks. - Natalia Kopteva:
Lower a posteriori error estimates on anisotropic meshes. - Eduard Kamburjan, Stefan Mitsch, Martina Kettenbach, Reiner Hähnle:
Modeling and Verifying Cyber-Physical Systems with Hybrid Active Objects. - Natalia Neverova, James Thewlis, Riza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi:
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues. - Pengyuan Lyu, Zhicheng Yang, Xinhang Leng, Xiaojun Wu, Ruiyu Li, Xiaoyong Shen:
2D Attentional Irregular Scene Text Recognizer. - Alec Jacobson:
RodSteward: A Design-to-Assembly System for Fabrication using 3D-Printed Joints and Precision-Cut Rods. - Jesse Vig:
A Multiscale Visualization of Attention in the Transformer Model. - Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics. - Aakanksha Chowdhery, Pete Warden, Jonathon Shlens, Andrew Howard, Rocky Rhodes:
Visual Wake Words Dataset. - Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti:
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text. - Daniel Martinez Rivillas, Ruy J. G. B. de Queiroz:
An extensional λ-model with ∞-grupoid structure. - Dagnachew Azene Temesgene, Marco Miozzo, Paolo Dini:
Dynamic Control of Functional Splits for Energy Harvesting Virtual Small Cells: a Distributed Reinforcement Learning Approach. - Xiaoming Sun, David P. Woodruff, Guang Yang, Jialin Zhang:
Querying a Matrix through Matrix-Vector Products. - Felix Thielke, Arne Hasselbring:
A JIT Compiler for Neural Network Inference. - Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti:
Generating and Exploiting Probabilistic Monocular Depth Estimates. - Chen Sun, Fabien Baradel, Kevin Murphy, Cordelia Schmid:
Contrastive Bidirectional Transformer for Temporal Representation Learning. - Konstantinos Xirogiannopoulos, Amol Deshpande:
Memory-Efficient Group-by Aggregates over Multi-Way Joins. - Nikolaos Kargas, Nicholas D. Sidiropoulos:
Nonlinear System Identification via Tensor Completion. - Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Matthew R. Scott, Hartwig Adam, Serge J. Belongie:
The iMaterialist Fashion Attribute Dataset. - Tin Tironsakkul, Manuel Maarek, Andrea Eross, Mike Just:
Probing the Mystery of Cryptocurrency Theft: An Investigation into Methods for Cryptocurrency Tainting Analysis. - Claire Bowern:
Semantic Change and Semantic Stability: Variation is Key. - Hanshu Yan, Vincent Y. F. Tan, Wenhan Yang, Jiashi Feng:
Unsupervised Image Noise Modeling with Self-Consistent GAN. - Ramon Ferrer-i-Cancho, Carlos Gómez-Rodríguez:
Anti dependency distance minimization in short sequences. A graph theoretic approach. - Chanachok Chokwitthaya, Edward Collier, Yimin Zhu, Supratik Mukhopadhyay:
Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs). - Hua Zhao, Fairouz Kamareddine:
Advance gender prediction tool of first names and its use in analysing gender disparity in Computer Science in the UK, Malaysia and China. - Mateos Kassa, Carrie M. Hall, Michael Pamminger, Thomas Wallner:
Knock Intensity Distribution and a Stochastic Control Framework for Knock Control. - Zhihao Xia, Ayan Chakrabarti:
Training Image Estimators without Image Ground-Truth. - Cory E. Merkel, Animesh Nikam:
A Low-Power Domino Logic Architecture for Memristor-Based Neuromorphic Computing. - Danielle Saunders, Felix Stahlberg, Bill Byrne:
UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles. - Wenbo Sui, Jorge Pulpeiro González, Carrie M. Hall:
Modeling and Control of Combustion Phasing in Dual-Fuel Compression Ignition Engines. - Juan Afanador, Maria Araujo, Murilo S. Baptista, Nir Oren:
Extending Eigentrust with the Max-Plus Algebra. - Eduardo Ruiz, Walterio W. Mayol-Cuevas:
Egocentric affordance detection with the one-shot geometry-driven Interaction Tensor. - Meryll Dindin, Yuhei Umeda, Frédéric Chazal:
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks. - Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Yuheng Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham, Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, Richard A. Newcombe:
The Replica Dataset: A Digital Replica of Indoor Spaces. - Thanh Thi Nguyen, Vijay Janapa Reddi:
Deep Reinforcement Learning for Cyber Security. - Quanying Liu, Haiyan Wu, Anqi Liu:
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning. - Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi:
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. - Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody:
Lower Bounds for Adversarially Robust PAC Learning. - Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue:
Robust Regression for Safe Exploration in Control. - (Withdrawn) Kernel and Deep Regimes in Overparametrized Models.
- Elyes Ahmed, Alessio Fumagalli, Ana Budisa, Eirik Keilegavlen, Jan M. Nordbotten, Florin A. Radu:
Robust linear domain decomposition schemes for reduced non-linear fracture flow models. - Santosh S. Vempala, Ruosong Wang, David P. Woodruff:
The Communication Complexity of Optimization. - Jobst Landgrebe, Barry Smith:
There is no general AI: Why Turing machines cannot pass the Turing test. - Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel:
Goal-conditioned Imitation Learning. - Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine:
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards. - Marc Serra-Garcia:
Turing complete mechanical processor via automated nonlinear system design. - Abhishek Ninad Kulkarni, Jie Fu:
Opportunistic Synthesis in Reactive Games under Information Asymmetry. - Yonglong Tian, Dilip Krishnan, Phillip Isola:
Contrastive Multiview Coding. - Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros:
Detecting Photoshopped Faces by Scripting Photoshop. - Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang:
Show, Match and Segment: Joint Learning of Semantic Matching and Object Co-segmentation. - Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel:
Sub-policy Adaptation for Hierarchical Reinforcement Learning. - Wen Tang, Ashkan Panahi, Hamid Krim:
Joint Concept Matching based Learning for Zero-Shot Recognition. - Ali Abbassi, Nancy A. Day, Derek Rayside:
Astra Version 1.0: Evaluating Translations from Alloy to SMT-LIB. - Hedayat Zarkoob, Hu Fu, Kevin Leyton-Brown:
Report-Sensitive Spot-Checking in Peer-Grading Systems. - Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
Sentiment analysis is not solved! Assessing and probing sentiment classification. - Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam:
Can generalised relative pose estimation solve sparse 3D registration? - Àlex R. Atrio, Toni Badia, Jeremy Barnes:
On the Effect of Word Order on Cross-lingual Sentiment Analysis. - Kaifeng Lyu, Jian Li:
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. - Grégoire Nieto, Mohammad Rouhani, Philippe Robert:
IntrinSeqNet: Learning to Estimate the Reflectance from Varying Illumination. - Sungmin Eum, Heesung Kwon:
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing. - Sungyong Baik, Seokil Hong, Kyoung Mu Lee:
Learning to Forget for Meta-Learning. - Justin Lazarow, Kwonjoon Lee, Zhuowen Tu:
Learning Instance Occlusion for Panoptic Segmentation. - Ida Häggström, Yizun Lin, Si Li, Andrzej Król, Yuesheng Xu, Charles Ross Schmidtlein:
Dynamic PET cardiac and parametric image reconstruction: a fixed-point proximity gradient approach using patch-based DCT and tensor SVD regularization. - Tiago Pimentel, Arya D. McCarthy, Damián E. Blasi, Brian Roark, Ryan Cotterell:
Meaning to Form: Measuring Systematicity as Information. - Prajit Ramachandran, Niki Parmar, Ashish Vaswani, Irwan Bello, Anselm Levskaya, Jonathon Shlens:
Stand-Alone Self-Attention in Vision Models. - Lei Wang, Piotr Koniusz, Du Q. Huynh:
Hallucinating Bag-of-Words and Fisher Vector IDT terms for CNN-based Action Recognition. - Anil Narassiguin, Selina Sargent:
Data Science for Influencer Marketing : feature processing and quantitative analysis. - Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan:
A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation. - Timon Willi, Jonathan Masci, Jürgen Schmidhuber, Christian Osendorfer:
Recurrent Neural Processes. - Gunjan S. Mahindre, Anura P. Jayasumana:
Link Dimension and Exact Construction of a Graph. - Adriano Di Luzio, Danilo Francati, Giuseppe Ateniese:
Arcula: A Secure Hierarchical Deterministic Wallet for Multi-asset Blockchains. - Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec:
Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. - Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai Helen Li:
Thread Batching for High-performance Energy-efficient GPU Memory Design. - Kevin C. VanHorn, Meyer Zinn, Murat Can Cobanoglu:
Deep Learning Development Environment in Virtual Reality. - Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro:
Unsupervised Video Interpolation Using Cycle Consistency. - Duanshun Li, Jing Liu, Noseong Park, Dongeun Lee, Giridhar Ramachandran, Ali Seyedmazloom, Kookjin Lee, Chen Feng, Vadim Sokolov, Rajesh Ganesan:
Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling. - Ang Li, Huiyi Hu, Piotr Mirowski, Mehrdad Farajtabar:
Cross-View Policy Learning for Street Navigation. - Kwangmin Yu, Thomas Flynn, Shinjae Yoo, Nicholas D'Imperio:
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training. - Antonin Delpeuch:
A complete language for faceted dataflow programs. 1-14 - Sotiris Kotitsas, Dimitris Pappas, Ion Androutsopoulos, Ryan T. McDonald, Marianna Apidianaki:
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors. - Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel:
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games. - Suhas Lohit, Qiao Wang, Pavan K. Turaga:
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping. - Tri Huynh, Michael Maire, Matthew R. Walter:
Multigrid Neural Memory. - Homa Esfahanizadeh, Ruiyi Wu, Lara Dolecek:
A Finite-Length Construction of Irregular Spatially-Coupled Codes. - Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim:
Scalable Neural Architecture Search for 3D Medical Image Segmentation. - Simao Herdade, Armin Kappeler, Kofi Boakye, Joao Soares:
Image Captioning: Transforming Objects into Words. - Flávio Luiz Cardoso-Ribeiro, Denis Matignon, Laurent Lefèvre:
A Partitioned Finite Element Method for power-preserving discretization of open systems of conservation laws. - Omar Alonso, Vasileios Kandylas, Serge-Eric Tremblay:
Scalable Knowledge Graph Construction from Twitter. - Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer:
Divide and Conquer the Embedding Space for Metric Learning. - Saket Karve, Lyle H. Ungar, João Sedoc:
Conceptor Debiasing of Word Representations Evaluated on WEAT. - Felice De Luca, Md. Iqbal Hossain, Stephen G. Kobourov, Katy Börner:
Multi-level tree based approach for interactive graph visualization with semantic zoom. - Daisuke Hatano, Yuko Kuroki, Yasushi Kawase, Hanna Sumita, Naonori Kakimura, Ken-ichi Kawarabayashi:
Non-zero-sum Stackelberg Budget Allocation Game for Computational Advertising. - Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun:
Cost-sensitive Regularization for Label Confusion-aware Event Detection. - Wang Kang:
U2Fi: A Provisioning Scheme of IoT Devices with Universal Cryptographic Tokens. - Ícaro Cavalcante Dourado, Ricardo da Silva Torres:
Fusion vectors: Embedding Graph Fusions for Efficient Unsupervised Rank Aggregation. - Hui Li, Peng Wang, Chunhua Shen:
Towards End-to-End Text Spotting in Natural Scenes. - Eduardo Faccin Vernier, Max Sondag, João Comba, Bettina Speckmann, Alexandru C. Telea, Kevin Verbeek:
Quantitative Comparison of Time-Dependent Treemaps. - Shunsuke Kanda, Dominik Köppl, Yasuo Tabei, Kazuhiro Morita, Masao Fuketa:
Dynamic Path-Decomposed Tries. - Yan Gao, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan:
Utilizing the Instability in Weakly Supervised Object Detection. - Danilo Vasconcellos Vargas, Shashank Kotyan:
Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses. - Yangming Shi, Xiaopo Wu, Ming Zhu:
Low-light Image Enhancement Algorithm Based on Retinex and Generative Adversarial Network. - Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang:
Adversarial Training Can Hurt Generalization. - Ahmed T. Elthakeb, Prannoy Pilligundla, Hadi Esmaeilzadeh:
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks. - Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh:
InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers. - Makiko Mita, Kensuke Ito, Shohei Ohsawa, Hideyuki Tanaka:
What is Stablecoin?: A Survey on Price Stabilization Mechanisms for Decentralized Payment Systems. - Yongjun Zhu, Erjia Yan, Silvio Peroni, Chao Che:
Nine Million Books and Eleven Million Citations: A Study of Book-Based Scholarly Communication Using OpenCitations. - Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. - Ziqi Yang, Hung Dang, Ee-Chien Chang:
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking. - Andreas Achen, Andrés Occhipinti Liberman, Rasmus K. Rendsvig:
Dynamic Term-Modal Logics for Epistemic Planning. - Petr Hlinený, Abhisekh Sankaran:
Exact Crossing Number Parameterized by Vertex Cover. - Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang:
Neural Response Generation with Meta-Words. - Yunwen Lei, Yiming Ying:
Stochastic Proximal AUC Maximization. - Chaitanya Sai Alaparthi:
Microsoft AI Challenge India 2018: Learning to Rank Passages for Web Question Answering with Deep Attention Networks. - Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis:
Disentangling Mixtures of Epidemics on Graphs. - Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi:
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation. - Guy Lorberbom, Chris J. Maddison, Nicolas Heess, Tamir Hazan, Daniel Tarlow:
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces. - Uzair Nadeem, Mohammad A. A. K. Jalwana, Mohammed Bennamoun, Roberto Togneri, Ferdous Sohel:
Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Cloud. - Yeow Meng Chee, Xiande Zhang:
Optimal q-Ary Error Correcting/All Unidirectional Error Detecting Codes. - Josip Dvornik, Antonia Jaguljnjak Lazarevic, Damir Lazarevic, M. Uros:
Exact arithmetic as a tool for convergence assessment of the IRM-CG method. - Elizabeth Hartung, Hung Phuc Hoang, Torsten Mütze, Aaron Williams:
Combinatorial generation via permutation languages. I. Fundamentals. - Pouria Behnoudfar, Quanling Deng, Victor M. Calo:
Higher-order generalized-α methods for hyperbolic problems. - Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper:
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning. - Thomas Brunner, Frederik Diehl, Alois C. Knoll:
Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks. - Carolina Fuentes, Martin Porcheron, Joel E. Fischer, Nervo Verdezoto, Oren Zuckerman, Enrico Costanza, Valeria Herskovic, Leila Takayama:
Proceedings of the CHI 2019 Workshop on New Directions for the IoT: Automate, Share, Build, and Care. - Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene:
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees. - Michel Grabisch, Alexis Poindron, Agnieszka Rusinowska:
A model of anonymous influence with anti-conformist agents. - Alexander Mey, Tom J. Viering, Marco Loog:
A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization. - Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana:
Towards Compact and Robust Deep Neural Networks. - Hamid Laga:
A Survey on Deep Learning Architectures for Image-based Depth Reconstruction. - (Withdrawn) Generation of Pseudo Code from the Python Source Code using Rule-Based Machine Translation.
- Franco Dassi, Carlo Lovadina, Michele Visinoni:
A three-dimensional Hellinger-Reissner Virtual Element Method for linear elasticity problems. - Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan:
Topological Data Analysis with ε-net Induced Lazy Witness Complex. - Mário M. Graça:
Four beautiful quadrature rules. - Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. - Christin Katharina Kreutz, Michael Wolz, Ralf Schenkel:
SchenQL - A Domain-Specific Query Language on Bibliographic Metadata. - Boris Lorbeer, Tanja Deutsch, Peter Ruppel, Axel Küpper:
Anomaly Detection with HMM Gauge Likelihood Analysis. - Vítezslav Stembera, Josef Füssl:
DKMQ24 shell element with improved membrane behaviour. - Stephan Druskat:
Software and their Dependencies in Research Citation Graphs. - Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida:
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. - Luiz Fernando Capretz, Pradeep Waychal, Jingdong Jia, Daniel Varona, Yadira Lizama:
Studies on the Software Testing Profession. - Yasufumi Moriya, Ramon Sanabria, Florian Metze, Gareth J. F. Jones:
Grounding Object Detections With Transcriptions. - Robin Brügger, Christian F. Baumgartner, Ender Konukoglu:
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation. - Abuthahir, Gaurav Raina, Thomas Voice:
Do we need two forms of feedback in the Rate Control Protocol (RCP)? - Bo Zhou, Yi-Jen Chiang, Chee Yap:
Soft Subdivision Motion Planning for Complex Planar Robots. - Moshe Schwartz, Yotam Svoray, Gera Weiss:
On Embedding De Bruijn Sequences by Increasing the Alphabet Size. - Wei Xu, Yingjie Liang, Wen Chen:
A new data fitting method for stretched Gaussian noise: stretched least square method. - Kulin Shah, Naresh Manwani:
Online Active Learning of Reject Option Classifiers. - Lijun Wang, Jianbing Gong, Yingxia Zhang, Tianmou Liu, Junhui Gao:
FPScreen: A Rapid Similarity Search Tool for Massive Molecular Library Based on Molecular Fingerprint Comparison. - John M. McBride, Tsvi Tlusty:
Imperfect fifths pack into musical scales. - Congzhe Cao, Duanshun Li, Ivan J. Fair:
Deep Learning-Based Decoding of Constrained Sequence Codes. - Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti:
Curriculum Learning for Cumulative Return Maximization. - Dan Fisher, Mark Kozdoba, Shie Mannor:
Topic Modeling via Full Dependence Mixtures. - Samira Afzal, Vanessa Testoni, Christian Esteve Rothenberg, Prakash Kolan, Imed Bouazizi:
A Holistic Survey of Wireless Multipath Video Streaming. - Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel:
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. - Pierre Ganty, Elena Gutiérrez, Pedro Valero:
A Congruence-based Perspective on Automata Minimization Algorithms. - Jérôme Revaud, Philippe Weinzaepfel, César Roberto de Souza, Noé Pion, Gabriela Csurka, Yohann Cabon, Martin Humenberger:
R2D2: Repeatable and Reliable Detector and Descriptor. - Jean Kossaifi, Adrian Bulat, Yannis Panagakis, Maja Pantic:
Efficient N-Dimensional Convolutions via Higher-Order Factorization. - Sameera Muhamed Salam, Jasine Babu, K. Murali Krishnan:
A local characterization for perfect plane near-triangulations. - Chi Zhang, Qianxiao Li:
Distributed Optimization for Over-Parameterized Learning. - Markus Kitza, Pavel Golik, Ralf Schlüter, Hermann Ney:
Cumulative Adaptation for BLSTM Acoustic Models. - Dominik Dürrschnabel, Tom Hanika, Gerd Stumme:
Drawing Order Diagrams Through Two-Dimension Extension. - Hyounghun Kim, Mohit Bansal:
Improving Visual Question Answering by Referring to Generated Paragraph Captions. - Sven de Vries, Rakesh V. Vohra:
Matroidal Approximations of Independence Systems. - Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà:
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. - Sebastian D. Proell, Christoph Meier, Wolfgang A. Wall:
Accuracy and performance of phase change and latent heat models in metal additive manufacturing process simulation. - Rachid Guerraoui, Alexandre Maurer:
Gathering with extremely restricted visibility. - Mário Almeida, Liang Wang, Jeremy Blackburn, Konstantina Papagiannaki, Jon Crowcroft:
Diffusing Your Mobile Apps: Extending In-Network Function Virtualization to Mobile Function Offloading. - Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Sanjeev Arora, Rong Ge:
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. - Curtis Bright, Jürgen Gerhard, Ilias S. Kotsireas, Vijay Ganesh:
Effective problem solving using SAT solvers. - Gonçalo M. Correia, André F. T. Martins:
A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning. - Lee Friedman, Hal S. Stern, Oleg V. Komogortsev:
The Linear Relationship between Temporal Persistence, Number of Independent Features and Target EER. - Luca Corinzia, Joachim M. Buhmann:
Variational Federated Multi-Task Learning. - Lee Friedman, Hal S. Stern, Vladyslav Prokopenko, Oleg V. Komogortsev:
Relationship between Number of Subjects and Biometric Authentication Equal Error Rates. - Hannes Eriksson, Christos Dimitrakakis:
Epistemic Risk-Sensitive Reinforcement Learning. - Mihai Codescu, Bernd Krieg-Brückner, Till Mossakowski:
Extensions of Generic DOL for Generic Ontology Design Patterns. - Khadijeh Bagheri, Taraneh Eghlidos, Mohammad-Reza Sadeghi, Daniel Panario:
A Lattice Based Joint Encryption, Encoding and Modulation Scheme. - Andrey Zharkov, Ivan Zagaynov:
Universal Barcode Detector via Semantic Segmentation. - Dennis Willsch, Madita Willsch, Hans De Raedt, Kristel Michielsen:
Support vector machines on the D-Wave quantum annealer. - Vojtech Kovarík, Viliam Lisý:
Problems with the EFG formalism: a solution attempt using observations. - Daniil Merkulov, Ivan V. Oseledets:
Empirical study of extreme overfitting points of neural networks. - Joshua Romero, Mauro Bisson, Massimiliano Fatica, Massimo Bernaschi:
A Performance Study of the 2D Ising Model on GPUs. - Tao Li, Vivek Srikumar:
Augmenting Neural Networks with First-order Logic. - Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr:
A Signal Propagation Perspective for Pruning Neural Networks at Initialization. - Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger:
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. - Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo:
Eclipse: Generalizing kNN and Skyline. - Camila P. S. Tautenhain, Rodrigo Francisquini, Mariá C. V. Nascimento:
An analysis of community structure in Brazilian political topic-based Twitter networks. - Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh:
Towards Stable and Efficient Training of Verifiably Robust Neural Networks. - Siming Wang, Xumin Huang, Rong Yu, Yan Zhang, Ekram Hossain:
Permissioned Blockchain for Efficient and Secure Resource Sharing in Vehicular Edge Computing. - Simon S. Du, Yuping Luo, Ruosong Wang, Hanrui Zhang:
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle. - Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba:
Connecting Touch and Vision via Cross-Modal Prediction. - Stavros Efthymiou, Jack Hidary, Stefan Leichenauer:
TensorNetwork for Machine Learning. - Nima Miryeganeh, Mehdi Amoui, Hadi Hemmati:
An IR-based Approach Towards Automated Integration of Geo-spatial Datasets in Map-based Software Systems. - Dibyanayan Bandyopadhyay, Baban Gain, Tanik Saikh, Asif Ekbal:
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering. - Konstantinos Vougioukas, Stavros Petridis, Maja Pantic:
Realistic Speech-Driven Facial Animation with GANs. - Samuel A. Korsky, Robert C. Berwick:
On the Computational Power of RNNs. - Ahmed Refaey, Karim Hammad, Sebastian Magierowski, Ekram Hossain:
A Blockchain Policy and Charging Control Framework for Roaming in Cellular Networks. - Yakov Berchenko-Kogan:
Duality in finite element exterior calculus and Hodge duality on the sphere. - Tao Zhang, Kun Zhu, Ekram Hossain:
Data-Driven Machine Learning Techniques for Self-healing in Cellular Wireless Networks: Challenges and Solutions. - Daphne Ippolito, Reno Kriz, Maria Kustikova, João Sedoc, Chris Callison-Burch:
Comparison of Diverse Decoding Methods from Conditional Language Models. - Nir Rosenfeld, Kojin Oshiba, Yaron Singer:
Predicting Choice with Set-Dependent Aggregation. - Dane Taylor, Mason A. Porter, Peter J. Mucha:
Supracentrality Analysis of Temporal Networks with Directed Interlayer Coupling. - Aamir Mahmood, Muhammad Ikram Ashraf, Mikael Gidlund, Johan Torsner, Joachim Sachs:
Time Synchronization in 5G Wireless Edge: Requirements and Solutions for Critical-MTC. - Ashkan Aghdai, Kang Xi, H. Jonathan Chao:
Intelligent Anomaly Detection and Mitigation in Data Centers. - Meisam Hejazinia, Majid Hosseini, Bryant Sih:
A/B Testing Measurement Framework for Recommendation Models Based on Expected Revenue. - Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Instance Segmentation with Point Supervision. - Rishabh K. Iyer:
A Unified Framework of Robust Submodular Optimization. - Rohan R. Paleja, Andrew Silva, Matthew C. Gombolay:
Personalized Apprenticeship Learning from Heterogeneous Decision-Makers. - Sam Wiseman, Yoon Kim:
Amortized Bethe Free Energy Minimization for Learning MRFs. - Shrimai Prabhumoye, Khyathi Raghavi Chandu, Ruslan Salakhutdinov, Alan W. Black:
"My Way of Telling a Story": Persona based Grounded Story Generation. - Daniel Martens, Walid Maalej:
Release early, release often, and watch your users' emotions. - Oscar Mickelin, Sertac Karaman:
Optimal orthogonal approximations to symmetric tensors cannot always be chosen symmetric. - Vojtech Kovarík, Viliam Lisý:
Value Functions for Depth-Limited Solving in Zero-Sum Imperfect-Information Games. - Wilkie Olin-Ammentorp, Karsten Beckmann, Nathaniel C. Cady:
Cellular Memristive-Output Reservoir (CMOR). - Da Tang, Dawen Liang, Nicholas Ruozzi, Tony Jebara:
Learning Correlated Latent Representations with Adaptive Priors. - Chryssis Georgiou, Oskar Lundström, Elad Michael Schiller:
Self-Stabilizing Snapshot Objects for Asynchronous Fail-Prone Network Systems. - Yitong Li, Wenying Ji:
Enhanced Input Modeling for Construction Simulation using Bayesian Deep Neural Networks. - Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman, Martin J. Pearson, Ville Kyrki:
ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments. - Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Hervé Jégou:
Fixing the train-test resolution discrepancy. - Shrimai Prabhumoye, Elijah Mayfield, Alan W. Black:
Principled Frameworks for Evaluating Ethics in NLP Systems. - Zhengshan Shi, Carlos Cancino Chacón, Gerhard Widmer:
User Curated Shaping of Expressive Performances. - Abdullah-Al-Zubaer Imran, Demetri Terzopoulos:
Multi-Adversarial Variational Autoencoder Networks. - Valerii Likhosherstov, Yury Maximov, Michael Chertkov:
A New Family of Tractable Ising Models. - Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Linear-time Hierarchical Community Detection. - Christopher Mendoza, Venkat R. Dasari, Michael P. McGarry:
Detecting Network Soft-failures with the Network Link Outlier Factor (NLOF). - David López, Bilal Farooq:
A multi-layered blockchain framework for smart mobility data-markets. - Maayan Shvo, Sheila A. McIlraith:
Towards Empathetic Planning. - Sérgio José de Sousa, Thiago Magela Rodrigues Dias, Adilson Luiz Pinto:
A Strategy for Expert Recommendation From Open Data Available on the Lattes Platform. - Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom:
Scalable Syntax-Aware Language Models Using Knowledge Distillation. - Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru:
Detecting Bias with Generative Counterfactual Face Attribute Augmentation. - Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke:
High-Performance Deep Learning via a Single Building Block. - Isaac Caswell, Ciprian Chelba, David Grangier:
Tagged Back-Translation. - Sze-Teng Liong, Yee Siang Gan, Kun-Hong Liu, Tran Quang Binh, Cong Tue Le, Chien-An Wu, Cheng-Yan Yang, Yen-Chang Huang:
Efficient Neural Network Approaches for Leather Defect Classification. - Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
Can neural networks understand monotonicity reasoning? - Felipe A. Mejia, Paul Gamble, Zigfried Hampel-Arias, Michael Lomnitz, Nina Lopatina, Lucas Tindall, Maria Alejandra Barrios:
Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks. - Xiaogang Liu:
Constructions and necessities of some permutation polynomials. - Edjard Mota, Jacob M. Howe, Ana Schramm, Artur S. d'Avila Garcez:
Efficient predicate invention using shared "NeMuS". - Yiding Hao, Dustin Bowers:
Action-Sensitive Phonological Dependencies. - Arno Schneuwly, Ralf Grubenmann, Séverine Rion Logean, Mark Cieliebak, Martin Jaggi:
Correlating Twitter Language with Community-Level Health Outcomes. - Joseph Eremondi, Éric Tanter, Ronald Garcia:
Approximate Normalization for Gradual Dependent Types. - M. Anandaraj, K. Selvaraj, P. Ganeshkumar:
Genetic Algorithm Based Resource Minimization in Network Code Based Peer-to-Peer Network. - Jonathan Pan:
Physical Integrity Attack Detection of Surveillance Camera with Deep Learning Based Video Frame Interpolation. - Jayasree Saha, Jayanta Mukhopadhyay:
RECAL: Reuse of Established CNN classifer Apropos unsupervised Learning paradigm. - Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics Generation. - Fangyu Gai, Cesar Grajales, Jianyu Niu, Chen Feng:
A Secure Consensus Protocol for Sidechains. - Umutcan Simsek, Kevin Angele, Elias Kärle, Oleksandra Panasiuk, Dieter Fensel:
A formal approach for customization of schema.org based on SHACL. - Janneke van de Loo, Guy De Pauw, Walter Daelemans:
A weakly supervised sequence tagging and grammar induction approach to semantic frame slot filling. - Tian Wang, Shiye Lei, Youyou Jiang, Zihang Deng, Xin Su, Hichem Snoussi, Chang Choi:
Improving temporal action proposal generation by using high performance computing. - Bangti Jin, Zhi Zhou:
Incomplete Iterative Solution of the Subdiffusion Problem. - Alberto Bemporad:
Global optimization via inverse distance weighting. - Donghui Ding, Xin Jiang, Jiaping Wang, Hao Wang, Xiaobing Zhang, Yi Sun:
Txilm: Lossy Block Compression with Salted Short Hashing. - Akash Maity, Koustav Roy, Dhrubajyoti Gupta:
Designing, 3D Printing of a Quadruped Robot and Choice of Materials for Fabrication. - Yan-Hao Chen, Fei Hua, Chaozhang Huang, Jeremy Bierema, Chi Zhang, Eddy Z. Zhang:
Accelerating Concurrent Heap on GPUs. - Eman Salem Alashwali, Pawel Szalachowski, Andrew Martin:
Does "www." Mean Better Transport Layer Security? - Daniele Agostini, Lynn Chua:
Computing Theta Functions with Julia. - Nicolò Pollini, Oded Amir:
Mixed projection- and density-based topology optimization with applications to structural assemblies. - Hongsong Wang, Jiashi Feng:
VRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction. - Thomas Chaffre, Kevin Tudal, Sylvain Bertrand, Lionel Prevost:
Exploiting Physical Contacts for Robustness Improvement of a Dot-Painting Mission by a Micro Air Vehicle. - Ashutosh Dhar Dwivedi, Lukas Malina, Petr Dzurenda, Gautam Srivastava:
Optimized Blockchain Model for Internet of Things based Healthcare Applications. - Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann:
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. - (Withdrawn) Delving into 3D Action Anticipation from Streaming Videos.
- Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin:
Uplink Non-Orthogonal Multiple Access for UAV Communications. - Simone Santini:
Relevance Feedback with Latent Variables in Riemann spaces. - In-Ho Yi:
Media Environment, Dual Process and Polarization: A Computational Approach. - Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang:
Attributed Graph Clustering: A Deep Attentional Embedding Approach. - Qi Xuan, Fuxian Li, Yi Liu, Yun Xiang:
MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks. - Stefanos Leonardos, Daniël Reijsbergen, Georgios Piliouras:
PREStO: A Systematic Framework for Blockchain Consensus Protocols. - Xinyu Wei, Jiahui Chen, Jing Chen, Bernie Liu:
A Books Recommendation Approach Based on Online Bookstore Data. - Xian-Feng Han, Hamid Laga, Mohammed Bennamoun:
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era. - Gustavo Caran, Ronaldo Araújo, Crispulo Travieso-Rodriguez:
Interactive health communication and the construction of the identity of the person with low vision in social media. - Ahmad Aghaebrahimian, Mark Cieliebak:
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks. - Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano:
Mask Based Unsupervised Content Transfer. - Luciano da Fontoura Costa:
Modeling Consonance and its Relationships with Temperament, Harmony, and Electronic Amplification. - Tianjie Mu, Xiaohui Chen, Li Chen, Huarui Yin, Weidong Wang:
An End-to-End Block Autoencoder For Physical Layer Based On Neural Networks. - Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
Deep Set Prediction Networks. - Ioannis Mollas, Nikolaos Bassiliades, Grigorios Tsoumakas:
LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding. - Sankarshan Damle, Boi Faltings, Sujit Gujar:
A Practical Solution to Yao's Millionaires' Problem and Its Application in Designing Secure Combinatorial Auction. - Yijie Li, Jing Chen:
Assessment of Urban Ecological Service value used in Urban Rail Transit Project. - Ji Sun, Dong Deng, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation. - Samy Badreddine, Michael Spranger:
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks. - Ying-Chang Liang, Ruizhe Long, Qianqian Zhang, Jie Chen, Hei Victor Cheng, Huayan Guo:
Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart. - Young Joon Yoo, Dongyoon Han, Sangdoo Yun:
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. - Rajhans Samdani, Pierre Rappolt, Ankit Goyal, Pratyus Patnaik:
Practical User Feedback-driven Internal Search Using Online Learning to Rank. - David Fuenmayor, Christoph Benzmüller:
A Computational-Hermeneutic Approach for Conceptual Explicitation. - Qiang Du, Jiang Yang, Zhi Zhou:
Time-Fractional Allen-Cahn Equations: Analysis and Numerical Methods. - Yüksel Arslan:
A New Approach to Real Time Impulsive Sound Detection for Surveillance Applications. - Sandeep Manjanna, Herke van Hoof, Gregory Dudek:
Reinforcement Learning with Non-uniform State Representations for Adaptive Search. - Virat Shejwalkar, Amir Houmansadr:
Reconciling Utility and Membership Privacy via Knowledge Distillation. - Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos:
Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems. - Dinesh Dash:
Plane Sweep Algorithms for Data Collection in Wireless Sensor Network using Mobile Sink. - Samuel J. Bell, Helen Yannakoudakis, Marek Rei:
Context is Key: Grammatical Error Detection with Contextual Word Representations. - Surbhi Goel:
Learning Restricted Boltzmann Machines with Arbitrary External Fields. - Cheng-Yang Fu, Tamara L. Berg, Alexander C. Berg:
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things. - Indrajit Kurmi, David C. Schedl, Oliver Bimber:
A Statistical View on Synthetic Aperture Imaging for Occlusion Removal. - Bing Li, Bonan Yan, Hai Li:
An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications. - Yair Feldman, Ran El-Yaniv:
Multi-Hop Paragraph Retrieval for Open-Domain Question Answering. - Yuanyuan Shi, Baosen Zhang:
Learning in Cournot Games with Limited Information Feedback. - Bertrand Meyer, Jean-Michel Bruel, Sophie Ebersold, Florian Galinier, Alexandr Naumchev:
The Anatomy of Requirements. - Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings:
Social Cost Guarantees in Smart Route Guidance. - Yihong Xu, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud:
DeepMOT: A Differentiable Framework for Training Multiple Object Trackers. - Gil Sadeh, Lior Fritz, Gabi Shalev, Eduard Oks:
Generating Diverse and Informative Natural Language Fashion Feedback. - Gil Sadeh, Lior Fritz, Gabi Shalev, Eduard Oks:
Joint Visual-Textual Embedding for Multimodal Style Search. - Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava:
Model Compression by Entropy Penalized Reparameterization. - Syed Sameed Husain, Miroslaw Bober:
REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval. - Danilo Vasconcellos Vargas, Shashank Kotyan, Moe Matsuki:
Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks. - Avishek Ghosh, Justin Hong, Dong Yin, Kannan Ramchandran:
Robust Federated Learning in a Heterogeneous Environment. - Jian Zheng, Sudha Krishnamurthy, Ruxin Chen, Min-Hung Chen, Zhenhao Ge, Xiaohua Li:
Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding. - Trung Dung Do, Cheng-Bin Jin, Hakil Kim, Van Huan Nguyen:
Mixture separability loss in a deep convolutional network for image classification. - Xiu Ye, Shangyou Zhang:
On stabilizer-free weak Galerkin finite element methods on polytopal meshes. - Min Lin, Jie Fu, Yoshua Bengio:
Conditional Computation for Continual Learning. - Christian Etmann:
A Closer Look at Double Backpropagation. - Qingpeng Cai, Will Hang, Azalia Mirhoseini, George Tucker, Jingtao Wang, Wei Wei:
Reinforcement Learning Driven Heuristic Optimization. - Fei Wen, Rendong Ying, Peilin Liu, Trieu-Kien Truong:
Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization. - Xinghua Sun, Lin Dai:
Throughput Analysis of CSMA: Technical Report. - Min Qiu, Xiaowei Wu, Yixuan Xie, Jinhong Yuan:
Density Evolution Analysis of Partially Information Coupled Turbo Codes on the Erasure Channel. - Min Qiu:
Lattice Coding for Downlink Multiuser Transmission. - Lina Zhao, Eric T. Chung, Eun-Jae Park, Guanyu Zhou:
Staggered DG method for coupling of the Stokes and Darcy-Forchheimer problems. - Qianying Zhang, Shijun Zhao, Zhiping Shi, Yong Guan, Guohui Wang:
A Comprehensive Formal Security Analysis and Revision of the Two-phase Key Exchange Primitive of TPM 2.0. - Mo Mu, Lian Zhang:
Decoupling PDE Computation with Intrinsic or Inertial Robin Interface Condition. - Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar:
Solution of Two-Player Zero-Sum Game by Successive Relaxation. - Sourav Mondal, Nilanjan De, Anita Pal:
QSPR analysis of some novel neighborhood degree based topological descriptors. - Diego Álvarez-Estévez, Isaac Fernández-Varela:
Dealing with the database variability problem in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring. - Brent D. Mittelstadt:
AI Ethics - Too Principled to Fail? - Aran Komatsuzaki:
One Epoch Is All You Need. - Stephanie Friedhoff, Ben S. Southworth:
On "Optimal" h-Independent Convergence of Parareal and MGRIT using Runge-Kutta Time Integration. - Sadaf Salehkalaibar, Mohammad Hossein Yassaee, Vincent Y. F. Tan:
Covert Communication Over a Compound Channel. - Zhi-Xiu Ye, Zhen-Hua Ling:
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification. - Willem L. Fouché, Hyunwoo Lee, Donghyun Lim, Sewon Park, Matthias Schröder, Martin Ziegler:
Randomized Computation of Continuous Data: Is Brownian Motion Computable? - Yangjun Zhang, Pengjie Ren, Maarten de Rijke:
Improving Background Based Conversation with Context-aware Knowledge Pre-selection. - Jun Xu, Mengyang Yu, Li Liu, Fan Zhu, Dongwei Ren, Yingkun Hou, Haoqian Wang, Ling Shao:
STAR: A Structure and Texture Aware Retinex Model. - Jun Li, Chengjie Niu, Kai Xu:
Learning Part Generation and Assembly for Structure-aware Shape Synthesis. - Tai-Shan Lou, Nan-Hua Chen, Hua Xiong, Ya-xi Li, Lei Wang:
Ensemble Consider Kalman Filtering. - Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa:
On training deep networks for satellite image super-resolution. - Lianli Gao, Xiaosu Zhu, Jingkuan Song, Zhou Zhao, Heng Tao Shen:
Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval. - Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen:
Deep Recurrent Quantization for Generating Sequential Binary Codes. - Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube:
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection. - Changcun Huang:
A General Interpretation of Deep Learning by Affine Transform and Region Dividing without Mutual Interference. - Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid:
MoËT: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees. - Jiaming Luo, Yuan Cao, Regina Barzilay:
Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B. - Wenxian Shi, Hao Zhou, Ning Miao, Shenjian Zhao, Lei Li:
Fixing Gaussian Mixture VAEs for Interpretable Text Generation. - Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang, Zhou Yu:
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good. - Ulrik Günther, Tobias Pietzsch, Aryaman Gupta, Kyle I. S. Harrington, Pavel Tomancak, Stefan Gumhold, Ivo F. Sbalzarini:
scenery - Flexible Virtual Reality Visualisation on the Java VM. - Marcin Los, Quanling Deng, Ignacio Muga, Victor M. Calo, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting Preconditoner for Stationary Advection-Diffusion Problems. - Sidhanth Mohanty, Ryan O'Donnell, Pedro Paredes:
The SDP value for random two-eigenvalue CSPs. - Martin Maier, Amin Ebrahimzadeh:
Toward the Internet of No Things: The Role of O2O Communications and Extended Reality. - Nima Hamidi, Mohsen Vahidzadeh, Stephen Baek:
Multi-scale Embedded CNN for Music Tagging (MsE-CNN). - Thibaut Vidal, Gilbert Laporte, Piotr Matl:
A concise guide to existing and emerging vehicle routing problem variants. - Adriano N. Raposo, Abel João Padrão Gomes:
Pi-surfaces: products of implicit surfaces towards constructive composition of 3D objects. - Kobkaew Opasjumruskit, Diana Peters, Sirko Schindler:
ConTrOn: Continuously Trained Ontology based on Technical Data Sheets and Wikidata. - José Luís Barros Justo, Fabiane Barreto Vavassori Benitti, Saurabh Tiwari:
The impact of Use Cases in real-world software development projects: A systematic mapping study. - Michael Hahn:
Theoretical Limitations of Self-Attention in Neural Sequence Models. - Gilsoo Lee, Jihong Park, Walid Saad, Mehdi Bennis:
Performance Analysis of Blockchain Systems with Wireless Mobile Miners. - Leonardo Barreto, Edjard Mota:
Self-organized inductive reasoning with NeMuS. - Soumi Maiti, Michael I. Mandel:
Parametric Resynthesis with neural vocoders. - Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong:
Defending Against Adversarial Attacks Using Random Forests. - Stéphane d'Ascoli, Levent Sagun, Joan Bruna, Giulio Biroli:
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias. - Samah Khawaled, Yehoshua Y. Zeevi:
On the Self-Similarity of Natural Stochastic Textures. - Mohsen Jahanshahi, Arash Bozorgchenani:
Gateway Placement and Selection Solutions in WMNs: A Survey. - Soham Sankaran, Ross A. Knepper:
Usability Squared: Principles for doing good systems research in robotics. - Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
Sparsity Invariance for Convex Design of Distributed Controllers. - Bin Hu, Usman Ahmed Syed:
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory. - Jordi Feliu-Fabà, Yuwei Fan, Lexing Ying:
Meta-learning Pseudo-differential Operators with Deep Neural Networks. - Howard C. Elman, Tengfei Su:
A Low-rank Solver for the Stochastic Unsteady Navier-Stokes Problem. - Soukayna Mouatadid, Pierre Gentine, Wei Yu, Steve Easterbrook:
Recovering the parameters underlying the Lorenz-96 chaotic dynamics. - Jiahuan Pei, Arent Stienstra, Julia Kiseleva, Maarten de Rijke:
SEntNet: Source-aware Recurrent Entity Network for Dialogue Response Selection. - Annkathrin Krämmer, Christoph Schöller, Dhiraj Gulati, Alois C. Knoll:
Providentia - A Large Scale Sensing System for the Assistance of Autonomous Vehicles. - Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan A. Essa:
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction. - Tom Tirer, Raja Giryes:
Back-Projection based Fidelity Term for Ill-Posed Linear Inverse Problems. - Jinsung Yoon, James Jordon, Mihaela van der Schaar:
ASAC: Active Sensing using Actor-Critic models. - Jasper R. R. Uijlings, Mykhaylo Andriluka, Vittorio Ferrari:
Panoptic Image Annotation with a Collaborative Assistant. - Nawaf Bou-Rabee, Miranda C. Holmes-Cerfon:
Sticky Brownian Motion and its Numerical Solution. - Ilya Kavalerov, Weilin Li, Wojciech Czaja, Rama Chellappa:
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images. - Michiel de Jong, Fei Sha:
Neural Theorem Provers Do Not Learn Rules Without Exploration. - Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia:
A gray-box approach for curriculum learning. - Sangwoo Cho, Hassan Foroosh:
A Temporal Sequence Learning for Action Recognition and Prediction. - Wenli Ouyang:
A new approach to forecast service parts demand by integrating user preferences into multi-objective optimization. - Shiliang Sun, Zehui Cao, Han Zhu, Jing Zhao:
A Survey of Optimization Methods from a Machine Learning Perspective. - Sangwoo Cho, Hassan Foroosh:
Spatio-Temporal Fusion Networks for Action Recognition. - Renchi Yang, Jieming Shi, Xiaokui Xiao, Sourav S. Bhowmick, Yin Yang:
Homogeneous Network Embedding for Massive Graphs via Personalized PageRank. - Xiaoqiang Yue, Kejia Pan, Jie Zhou, Zhifeng Weng, Juan Tang, Shi Shu:
A parallel-in-time multigrid solver with a new two-level convergence for two-dimensional unsteady fractional Laplacian problems. - Aly Magassouba, Komei Sugiura, Anh Trinh Quoc, Hisashi Kawai:
Understanding Natural Language Instructions for Fetching Daily Objects Using GAN-Based Multimodal Target-Source Classification. - Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian:
Sample-Efficient Neural Architecture Search by Learning Action Space. - Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao:
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising. - Haibin Wang, Sujoy Sikdar, Xiaoxi Guo, Lirong Xia, Yongzhi Cao, Hanpin Wang:
Multi-type Resource Allocation with Partial Preferences. - Biao Jia, Jonathan Brandt, Radomír Mech, Byungmoon Kim, Dinesh Manocha:
LPaintB: Learning to Paint from Self-SupervisionLPaintB: Learning to Paint from Self-Supervision. - Mario Krenn, Anton Zeilinger:
Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics. - Liangjiang Wen, Xueyang Zhang, Haoli Bai, Zenglin Xu:
Structured Pruning of Recurrent Neural Networks through Neuron Selection. - Sheikh Muhammad Sarwar, Hamed R. Bonab, James Allan:
A Multi-Task Architecture on Relevance-based Neural Query Translation. - Mosharaf Chowdhury, Samir Khuller, Manish Purohit, Sheng Yang, Jie You:
Near Optimal Coflow Scheduling in Networks. - Abhishek Ghose, Balaraman Ravindran:
Learning Interpretable Models Using an Oracle. - Naman Jain, Mayank Singh:
The Evolving Ecosystem of Predatory Journals: A Case Study in Indian Perspective. - Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei:
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. - Xiaowen Cao, Guangxu Zhu, Jie Xu, Kaibin Huang:
Optimal Power Control for Over-the-Air Computation in Fading Channels. - Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He:
A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A Branch-and-Bound Technique. - Akansel Cosgun, Luke Ditria, Shayne D'Lima, Tom Drummond:
Embracing Contact: Pushing Multiple Objects with Robot's Forearm. - Milad Tatar Mamaghani, Yi Hong:
On the Performance of Low-Altitude UAV-Enabled Secure AF Relaying with Cooperative Jamming and SWIPT. - Fabio Camilli, Serikbolsyn Duisembay:
Approximation of Hamilton-Jacobi equations with Caputo time-fractional derivative. - Darsh J. Shah, Raghav Gupta, Amir A. Fayazi, Dilek Hakkani-Tür:
Robust Zero-Shot Cross-Domain Slot Filling with Example Values. - Chao Bian, Chao Qian, Ke Tang:
Running Time Analysis of the (1+1)-EA for Robust Linear Optimization. - Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu:
Hierarchical Back Projection Network for Image Super-Resolution. - Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang:
MixUp as Directional Adversarial Training. - Huy H. Nguyen, Fuming Fang, Junichi Yamagishi, Isao Echizen:
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos. - Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao:
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image. - Iryna Rybak, Christoph Schwarzmeier, Elissa Eggenweiler, Ulrich Rüde:
Validation and calibration of coupled porous-medium and free-flow problems using pore-scale resolved models. - Shunsuke Kurima:
Time discretization of an initial value problem for a simultaneous abstract evolution equation applying to parabolic-hyperbolic phase-field systems. - Muhammad Usama, Dong Eui Chang:
Learning-Driven Exploration for Reinforcement Learning. - Yaxian Xia, Lun Huang, Wenmin Wang, Xiaoyong Wei, Jie Chen:
ParNet: Position-aware Aggregated Relation Network for Image-Text matching. - Yifan Gao, Piji Li, Irwin King, Michael R. Lyu:
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. - Anthony Degleris, Nicolas Gillis:
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization. - Hui Li, Jiangxing Wu, Kaixuan Xing, Peng Yi, Julong Lan, Xinsheng Ji, Qinrang Liu, Shisheng Chen, Wei Liang, Jinwu Wei, Wei Li, Fusheng Zhu, Kaiyan Tian, Jiang Zhu, Yiqin Lu, Ke Xu, Jiaxing Song, Yijun Liu, Junfeng Ma, Rui Xu, Jianming Que, Weihao Yang, Weihao Miu, Zefeng Zheng, Guohua Wei, Jiuhua Qi, Yongjie Bai, Chonghui Ning, Han Wang, Xinchun Zhang, Xin Yang, Jiansen Huang, Sai Lv, Xinwei Liu, Gengxin Li:
The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks. - Maximilian Schmidt, Marko Simic:
Normalizing flows for novelty detection in industrial time series data. - Ji-Ung Lee, Erik Schwan, Christian M. Meyer:
Manipulating the Difficulty of C-Tests. - Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. - Konstantin S. Yakovlev, Anton Andreychuk, Juliya Belinskaya, Dmitry Makarov:
Combining Safe Interval Path Planning and Constrained Path Following Control: Preliminary Results. - Riccardo Longo, Massimiliano Sala:
Public Ledger for Sensitive Data. - (Withdrawn) BERE: An accurate distantly supervised biomedical entity relation extraction network.
- Daniel Kopev, Dimitrina Zlatkova, Kristiyan Mitov, Atanas Atanasov, Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Recursive Style Breach Detection with Multifaceted Ensemble Learning. - Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Improving Black-box Adversarial Attacks with a Transfer-based Prior. - Md. Helal Ahmed, Jagmohan Tanti, Sumant Pushp:
A Public-Key Cryptosystem Using Cyclotomic Matrices. - Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada:
Asymptotic Risk of Bezier Simplex Fitting. - Johannes Sappl, Laurent Seiler, Matthias Harders, Wolfgang Rauch:
Deep Learning of Preconditioners for Conjugate Gradient Solvers in Urban Water Related Problems. - Dave Kooijman, Angela P. Schoellig, Duarte J. Antunes:
Trajectory Tracking for Quadrotors with Attitude Control on S2 ×S1. - Jan Kretínský, Tobias Meggendorfer:
Of Cores: A Partial-Exploration Framework for Markov Decision Processes. - Mohammadreza Mohades Kasaei, Nuno Lau, Artur Pereira:
A Fast and Stable Omnidirectional Walking Engine for the Nao Humanoid Robot. - Ghita Berrada, Sidahmed Benabderrahmane, James Cheney, William Maxwell, Himan Mookherjee, Alec Theriault, Ryan Wright:
A baseline for unsupervised advanced persistent threat detection in system-level provenance. - Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li, Hejiao Huang:
Context-aware Embedding for Targeted Aspect-based Sentiment Analysis. - Xiao Liu, Heyan Huang, Yue Zhang:
Open Domain Event Extraction Using Neural Latent Variable Models. - Pascal Heid, Benjamin Stamm, Thomas P. Wihler:
Gradient Flow Finite Element Discretizations with Energy-Based Adaptivity for the Gross-Pitaevskii Equation. - Panagiotis Tampakis, Nikos Pelekis, Christos Doulkeridis, Yannis Theodoridis:
Scalable Distributed Subtrajectory Clustering. - Ayush Dewan, Wolfram Burgard:
DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans. - Yury Dvorkin:
A Chance-Constrained Stochastic Electricity Market. - Florin Manea, Markus L. Schmid:
Matching Patterns with Variables. - Rashmi Jain, Dinah Samuel Anand, Vijayalakshmi Janakiraman:
Scrubbing Sensitive PHI Data from Medical Records made Easy by SpaCy - A Scalable Model Implementation Comparisons. - Muhammad Usama, Dong Eui Chang:
Robotic Navigation using Entropy-Based Exploration. - Tomer Berg, Ofer Shayevitz, Young-Han Kim, Lele Wang:
Distributed Source Simulation With No Communication. - Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang:
EnlightenGAN: Deep Light Enhancement without Paired Supervision. - Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Liyun He-Guelton, Frédéric Oblé, Michael Granitzer:
Dataset shift quantification for credit card fraud detection. - Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer:
Multi-Scale Convolutions for Learning Context Aware Feature Representations. - Mirsad Cosovic, Tijana Devaja, Dragana Bajovic, Juraj Machaj, Graeme McCutcheon, Vladimir Stankovic, Lina Stankovic, Dejan Vukobratovic:
Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models. - Renjie Lu, Haihua Shen, Feng Zhang, Huawei Li, Wei Zhao, Xiaowei Li:
HTDet: A Clustering Method using Information Entropy for Hardware Trojan Detection. - Fei Dong, Keyou You, Jiaqi Zhang:
Flight Control for UAV Loitering Over a Ground Target with Unknown Maneuver. - David Vázquez-Padín, Fernando Pérez-González:
MPEG-2 Prediction Residue Analysis. - Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou:
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. - Qiangqiang Wu, Zhihui Chen, Lin Cheng, Yan Yan, Bo Li, Hanzi Wang:
Hallucinated Adversarial Learning for Robust Visual Tracking. - Miguel Sepulcre, Javier Gozálvez, M. Carmen Lucas-Estan:
Power and Packet Rate Control for Vehicular Networks in Multi-Application Scenarios. - Nees Jan van Eck, Ludo Waltman:
Accuracy of citation data in Web of Science and Scopus. - Zhaofan Qiu, Dong Li, Yehao Li, Qi Cai, Yingwei Pan, Ting Yao:
Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019. - Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations. - Valery A. Ugrinovskii:
Distributed H∞ Estimation Resilient to Biasing Attacks. - Radu Alexandru Rosu, Jan Quenzel, Sven Behnke:
Semi-Supervised Semantic Mapping through Label Propagation with Semantic Texture Meshes. - Simon O. Obute, Mehmet Remzi Dogar, Jordan H. Boyle:
Simple Swarm Foraging Algorithm Based on Gradient Computation. - Victor Lagerkvist, Gustav Nordh:
On the Strength of Uniqueness Quantification in Primitive Positive Formulas. - Alessio Quaglino, Marco Gallieri, Jonathan Masci, Jan Koutník:
Accelerating Neural ODEs with Spectral Elements. - Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Making Fast Graph-based Algorithms with Graph Metric Embeddings. - Alyssa Herbst, Bert Huang:
Active Learning by Greedy Split and Label Exploration. - Chen-Lin Zhang, Xinxin Liu, Jianxin Wu:
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models. - Leonardo De Carlo:
Discrete calculus with cubic cells on discrete manifolds. - Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He:
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems. - Linh Nguyen, Hoc Thai Nguyen:
Mobility based network lifetime in wireless sensor networks: A review. - Kai Li, Wei Ni, Eduardo Tovar:
On-board Deep Q-Network for UAV-assisted Online Power Transfer and Data Collection. - Nabil Imam, Thomas A. Cleland:
Rapid online learning and robust recall in a neuromorphic olfactory circuit. - Sylvain Schmitz, Georg Zetzsche:
Coverability is Undecidable in One-dimensional Pushdown Vector Addition Systems with Resets. - Edith Elkind, Jiarui Gan, Svetlana Obraztsova, Zinovi Rabinovich, Alexandros A. Voudouris:
Protecting Elections by Recounting Ballots. - Carlos Segarra, Ricard Delgado-Gonzalo, Mathieu Lemay, Pierre-Louis Aublin, Peter R. Pietzuch, Valerio Schiavoni:
Using Trusted Execution Environments for Secure Stream Processing of Medical Data. - Chris Nota, Philip S. Thomas:
Is the Policy Gradient a Gradient? - Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed:
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks. - Berk Dogan, Shuhang Gu, Radu Timofte:
Exemplar Guided Face Image Super-Resolution without Facial Landmarks. - Jong-Chyi Su, Subhransu Maji, Bharath Hariharan:
Boosting Supervision with Self-Supervision for Few-shot Learning. - Philipp Berger, Johanna Nellen, Joost-Pieter Katoen, Erika Ábrahám, Md Tawhid Bin Waez, Thomas Rambow:
Multiple Analyses, Requirements Once: simplifying testing & verification in automotive model-based development. - Ke Hu, Hasim Sak, Hank Liao:
Adversarial Training for Multilingual Acoustic Modeling. - Sukhpreet Kaur Khangura, Sami Akin:
Measurement-based Online Available Bandwidth Estimation employing Reinforcement Learning. - Arvind Chakrapani:
NB-IoT Uplink Receiver Design and Performance Study. - Chiara Pielli, Tanguy Ropitault, Nada Golmie, Michele Zorzi:
An Analytical Model for CBAP Allocations in IEEE 802.11ad. - Gaetano Manzo, Sebastian Otálora, Marco Ajmone Marsan, Torsten Braun, Hung Nguyen, Gianluca Rizzo:
DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content. - Sawood Alam, Michele C. Weigle, Michael L. Nelson, Martin Klein, Herbert Van de Sompel:
Supporting Web Archiving via Web Packaging. - Adones Rukundo, Aras Atalar, Philippas Tsigas:
Monotonically relaxing concurrent data-structure semantics for performance: An efficient 2D design framework. - Oscar Chaparro, Carlos Bernal-Cárdenas, Jing Lu, Kevin Moran, Andrian Marcus, Massimiliano Di Penta, Denys Poshyvanyk, Vincent Ng:
Assessing the Quality of the Steps to Reproduce in Bug Reports. - Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. - Ari Azarafrooz, John Brock:
Hierarchical Soft Actor-Critic: Adversarial Exploration via Mutual Information Optimization. - Ganguk Lee, Yeaseul Park, Jeongseob Ahn, Youngjin Kwon:
Slicing the IO execution with ReLayTracer. - Xiaodong Zheng, Haoyong Chen, Yan Xu, Feifan Shen, Zipeng Liang:
A Global Solution Method for Decentralized Multi-Area SCUC and Savings Allocation Based on MILP Value Functions. - Zhiniang Peng:
Danger of using fully homomorphic encryption: A look at Microsoft SEAL. - Yichen Jiang, Mohit Bansal:
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA. - Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami:
Active Generative Adversarial Network for Image Classification. - Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden:
Machine-Assisted Map Editing. - Sawood Alam, Plinio Vargas, Michele C. Weigle, Michael L. Nelson:
Impact of HTTP Cookie Violations in Web Archives. - Anders Elowsson, Anders Friberg:
Modeling Music Modality with a Key-Class Invariant Pitch Chroma CNN. - Marcus Z. Comiter, Surat Teerapittayanon, H. T. Kung:
CheckNet: Secure Inference on Untrusted Devices. - Changkai Chen, Xiaohua Zhang, Zhang Liu:
A high-order compact finite difference scheme and precise integration method based on modified Hopf-Cole transformation for numerical simulation of n-dimensional Burgers' system. - Parsa Saadatpanah, Ali Shafahi, Tom Goldstein:
Adversarial attacks on Copyright Detection Systems. - Md. Saidur Rahman, Emilio Rivera, Foutse Khomh, Yann-Gaël Guéhéneuc, Bernd Lehnert:
Machine Learning Software Engineering in Practice: An Industrial Case Study. - Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin:
MMDetection: Open MMLab Detection Toolbox and Benchmark. - Emanuel Florentin Olariu:
A Note on Sequences of Lattices. - Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang:
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. - Malav Bateriwala, Pierrick Bourgeat:
Enforcing temporal consistency in Deep Learning segmentation of brain MR images. - Andrew Fisher, Gautam Srivastava, Robert Bryce:
MQTTg: An Android Implementation. - Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
High Speed and High Dynamic Range Video with an Event Camera. - Erkao Bao, Linqi Song:
Equivariant neural networks and equivarification. - Ayush Kumar, Teng Joon Lim:
A Secure Contained Testbed for Analyzing IoT Botnets. - Xu Liu, Licheng Jiao, Dan Zhang, Fang Liu:
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine. - Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi:
Learning Execution through Neural Code Fusion. - Gavindya Jayawardena, Anne Michalek, Sampath Jayarathna:
Eye Gaze Metrics and Analysis of AOI for Indexing Working Memory towards Predicting ADHD. - Juntao Chen, Corinne Touati, Quanyan Zhu:
A Dynamic Game Approach to Strategic Design of Secure and Resilient Infrastructure Network. - Justine Zhang, Robert Filbin, Christine Morrison, Jaclyn Weiser, Cristian Danescu-Niculescu-Mizil:
Finding Your Voice: The Linguistic Development of Mental Health Counselors. - Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu:
Visual Navigation by Generating Next Expected Observations. - Travis Manderson, Sandeep Manjanna, Gregory Dudek:
Heterogeneous Robot Teams for Informative Sampling. - Sai Vineeth Kalluru Srinivas, Harideep Nair, Vinay Vidyasagar:
Hardware Aware Neural Network Architectures using FbNet. - Andrew Steyer, Christopher J. Vogl, Mark A. Taylor, Oksana Guba:
Efficient IMEX Runge-Kutta methods for nonhydrostatic dynamics. - Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba:
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue. - Maksym Petkus:
Why and How zk-SNARK Works. - Matthias Eichholz, Eric Hayden Campbell, Nate Foster, Guido Salvaneschi, Mira Mezini:
How to Avoid Making a Billion-Dollar Mistake: Type-Safe Data Plane Programming with SafeP4. - Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh:
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling. - Jack Whitter-Jones, Mathew Evans:
The Little Phone That Could Ch-Ch-Chroot. - Ehsan Adeli, Bojana V. Rosic, Hermann G. Matthies, Sven Reinstädler:
Effect of Load Path on Parameter Identification for Plasticity Models using Bayesian Methods. - Ashwin Geet D'Sa, B. G. Prasad:
An IoT Based Framework For Activity Recognition Using Deep Learning Technique. - Adeel Mufti, Svetlin Penkov, Subramanian Ramamoorthy:
Iterative Model-Based Reinforcement Learning Using Simulations in the Differentiable Neural Computer. - Wei Sun, Jawadul H. Bappy, Shanglin Yang, Yi Xu, Tianfu Wu, Hui Zhou:
Pose Guided Fashion Image Synthesis Using Deep Generative Model. - Siva D. Muruganathan, Sebastian Faxer, Simon Järmyr, Shiwei Gao, Mattias Frenne:
On the System-level Performance of Coordinated Multi-point Transmission Schemes in 5G NR Deployment Scenarios. - Yu Wang, Mojtaba Zarei, Borzoo Bonakdarpour, Miroslav Pajic:
Statistical Verification of Hyperproperties for Cyber-Physical System. - Ramya Srinivasan, Ajay Chander:
Crowdsourcing in the Absence of Ground Truth - A Case Study. - Mark Herbster, Stephen Pasteris, Lisa Tse:
Online Matrix Completion with Side Information. - Richard Cole, Yixin Tao:
On the Existence of Pareto Efficient and Envy Free Allocations. - Mahdi Maktab Dar Oghaz, Anish R. Khadka, Vasileios Argyriou, Paolo Remagnino:
Content-aware Density Map for Crowd Counting and Density Estimation. - Yin Xian:
Uncertainty quantification of modified Cahn-Hilliard equation for image inpainting. - (Withdrawn) PACMAN: A Planner-Actor-Critic Architecture for Human-Centered Planning and Learning.
- Kedan Li, Chen Liu, Ranjitha Kumar, David A. Forsyth:
Using Discriminative Methods to Learn Fashion Compatibility Across Datasets. - Emmanuele Chersoni, Enrico Santus, Ludovica Pannitto, Alessandro Lenci, Philippe Blache, Chu-Ren Huang:
A Structured Distributional Model of Sentence Meaning and Processing. - Alex X. Lu, Amy X. Lu, Wiebke Schormann, David W. Andrews, Alan M. Moses:
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers. - Michael Hahn, Marco Baroni:
Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level Neural Language Models Trained on Unsegmented Text. - Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney:
Generalizing Back-Translation in Neural Machine Translation. - Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas:
Lower Bounds and Conditioning of Differentiable Games. - Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
Neurally-Guided Structure Inference. - Wei Fang, Yu-An Chung, James R. Glass:
Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models. - Pankaj Saha, Madhusudhan Govindaraju, Suresh Marru, Marlon E. Pierce:
MultiCloud Resource Management using Apache Mesos with Apache Airavata. - Shauharda Khadka, Somdeb Majumdar, Kagan Tumer:
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. - John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker:
DeepView: View Synthesis with Learned Gradient Descent. - Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo:
Deep Active Learning for Anchor User Prediction. - Juan José Quiroz-Omaña, Bruno Vilhena Adorno:
Whole-Body Control with (Self) Collision Avoidance using Vector Field Inequalities. - Yaohui Chen, Peng Li, Jun Xu, Shengjian Guo, Rundong Zhou, Yulong Zhang, Tao Wei, Long Lu:
SAVIOR: Towards Bug-Driven Hybrid Testing. - Alex Cummaudo, Rajesh Vasa, John C. Grundy, Mohamed Abdelrazek, Andrew Cain:
Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services. - Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye:
Boosting CNN beyond Label in Inverse Problems. - Xinglong Zhang, Wei Jiang, Zhizhong Li, Xin Xu:
A Dual-level Model Predictive Control Scheme for Multi-timescale Dynamical Systems. - Chunmei Wang, Junping Wang:
A primal-dual finite element method for first-order transport problems. - Keita Kurita, Nidhi Vyas, Ayush Pareek, Alan W. Black, Yulia Tsvetkov:
Measuring Bias in Contextualized Word Representations. - Shubhendra Pal Singhal:
Reputation Systems - Fair allocation of points to the editors in the collaborative community. - Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
Learning Personalized Attribute Preference via Multi-task AUC Optimization. - Chaolong Jiang, Yushun Wang, Yuezheng Gong:
Arbitrarily high-order energy-preserving schemes for the Camassa-Holm equation. - Yiding Jiang, Shixiang Gu, Kevin Murphy, Chelsea Finn:
Language as an Abstraction for Hierarchical Deep Reinforcement Learning. - Bin Duo, Qingqing Wu, Xiaojun Yuan, Rui Zhang:
Energy Efficiency Maximization for Full-Duplex UAV Secrecy Communication. - Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee:
Zero-Shot Entity Linking by Reading Entity Descriptions. - Yanlai Chen, Sigal Gottlieb, Lijie Ji, Yvon Maday, Zhenli Xu:
L1-ROC and R2-ROC: L1- and R2-based Reduced Over-Collocation methods for parametrized nonlinear partial differential equations. - Wentao Zhu, Yufang Huang, Mani A. Vannan, Shizhen Liu, Daguang Xu, Wei Fan, Zhen Qian, Xiaohui Xie:
Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking. - Tao Xiang, Ziliang Huang, Peng Bai, Congrui Ji, Zhiyong Liu:
Knowledge Network System (KNS) by Evolutionary Collective Intelligence (ECI): Model, Algorithm and Applications. - Haifeng Xu:
On the Tractability of Public Persuasion with No Externalities. - Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation. - Shuran Song, Thomas A. Funkhouser:
Neural Illumination: Lighting Prediction for Indoor Environments. - Philippe Morere, Lionel Ott, Fabio Ramos:
Learning to Plan Hierarchically from Curriculum. - Brahma S. Pavse, Faraz Torabi, Josiah P. Hanna, Garrett Warnell, Peter Stone:
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration. - Ling Zhang, Baosen Zhang:
Scenario Forecasting of Residential Load Profiles. - Faraz Torabi, Sean Geiger, Garrett Warnell, Peter Stone:
Sample-efficient Adversarial Imitation Learning from Observation. - Manuel Dahnert, Alexander Rind, Wolfgang Aigner, Johannes Kehrer:
Looking beyond the horizon: Evaluation of four compact visualization techniques for time series in a spatial context. - Hui Li, Mengting Xu, Sourav S. Bhowmick, Changsheng Sun, Zhongyuan Jiang, Jiangtao Cui:
DISCO: Influence Maximization Meets Network Embedding and Deep Learning. - Siddhartha Jain, Ge Liu, Jonas Mueller, David K. Gifford:
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. - Anirudh Dahiya, Neeraj Battan, Manish Shrivastava, Dipti Misra Sharma:
Curriculum Learning Strategies for Hindi-English Codemixed Sentiment Analysis. - Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein:
Uncovering Probabilistic Implications in Typological Knowledge Bases. - Arijit Bishnu, Arijit Ghosh, Gopinath Mishra, Manaswi Paraashar:
Inner Product Oracle can Estimate and Sample. - Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Zhanxing Zhu:
The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation. - Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. - Jiahui Chen, Mengjia Zhou, Bernie Liu:
Evaluation Pattern on Refugee Crisis. - Lintao Zheng, Chenyang Zhu, Jiazhao Zhang, Hang Zhao, Hui Huang, Matthias Nießner, Kai Xu:
Active Scene Understanding via Online Semantic Reconstruction. - Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma:
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss. - Konrad Wolsing, Jan Rüth, Klaus Wehrle, Oliver Hohlfeld:
A Performance Perspective on Web Optimized Protocol Stacks: TCP+TLS+HTTP/2 vs. QUIC. - Fei Dong, Keyou You, Shiji Song:
Target Encirclement with any Smooth Pattern Using Range-only Measurements. - Shreyank Narayana Gowda:
Using colorization as a tool for automatic makeup suggestion. - Lei Shen, Yang Feng, Haolan Zhan:
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables. - Katharina T. Huber, Leo van Iersel, Remie Janssen, Mark Jones, Vincent Moulton, Yukihiro Murakami, Charles Semple:
Rooting for phylogenetic networks. - Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis:
Inverting Deep Generative models, One layer at a time. - Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen:
Locality Preserving Joint Transfer for Domain Adaptation. - Martino Borello, Pieter Moree, Patrick Solé:
Asymptotic performance of metacyclic codes. - Vaibhav Kulkarni, Benoît Garbinato:
20 Years of Mobility Modeling & Prediction: Trends, Shortcomings & Perspectives. - Bart S. van Lith, Per Christian Hansen, Michiel E. Hochstenbach:
A twin error gauge for Kaczmarz's iterations. - Laurens Versluis, Roland Mathá, Sacheendra Talluri, Tim Hegeman, Radu Prodan, Ewa Deelman, Alexandru Iosup:
The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures - Technical Report. - Matthieu Grard, Liming Chen, Emmanuel Dellandréa:
Bicameral Structuring and Synthetic Imagery for Jointly Predicting Instance Boundaries and Nearby Occlusions from a Single Image. - Dong Wang, Lei Zhou, Xiao Bai, Jun Zhou:
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks. - Simon O. Obute, Mehmet Remzi Dogar, Jordan H. Boyle:
Chemotaxis Based Virtual Fence for Swarm Robots in Unbounded Environments. - Mengjia Zhou, Jiahui Chen, Bernie Liu:
Options of Different Rescue Periods on Transport Tools. - Biobele J. Brown, Alexander A. Przybylski, Petru Manescu, Fabio Caccioli, Gbeminiyi Oyinloye, Muna Elmi, Michael J. Shaw, Vijay Pawar, Remy Claveau, John Shawe-Taylor, Mandayam A. Srinivasan, Nathaniel K. Afolabi, Adebola E. Orimadegun, Wasiu A. Ajetunmobi, Francis Akinkunmi, Olayinka Kowobari, Kikelomo Osinusi, Felix O. Akinbami, Samuel Omokhodion, Wuraola A. Shokunbi, Ikeoluwa Lagunju, Olugbemiro Sodeinde, Delmiro Fernandez-Reyes:
Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data. - Olivier Bailleux:
Subsumption-driven clause learning with DPLL+restarts. - Alessio Netti, Micha Mueller, Axel Auweter, Carla Guillén, Michael Ott, Daniele Tafani, Martin Schulz:
From Facility to Application Sensor Data: Modular, Continuous and Holistic Monitoring with DCDB. - Zhijiang Guo, Yan Zhang, Wei Lu:
Attention Guided Graph Convolutional Networks for Relation Extraction. - Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Timothy A. Mann, Todd Hester, Martin A. Riedmiller:
Robust Reinforcement Learning for Continuous Control with Model Misspecification. - Emre Yilmaz, Samuel Cohen, Xianghu Yue, David A. van Leeuwen, Haizhou Li:
Multi-Graph Decoding for Code-Switching ASR. - Xiaoye Tan, Rui Yan, Chongyang Tao, Mingrui Wu:
Mimicking Human Process: Text Representation via Latent Semantic Clustering for Classification. - Mingjie Li, Youqian Feng, Zhonghai Yin, Cheng Zhou, Fanghao Dong:
Impoved RPN for Single Targets Detection based on the Anchor Mask Net. - Kevin Alexander Laube, Andreas Zell:
Prune and Replace NAS. - Simon Tamayo, François Combes, Gaudron Arthur:
Unsupervised machine learning to analyse city logistics through Twitter. - David M. Sommer, Moritz Schneider, Jannik Gut, Srdjan Capkun:
Cyber-Risks in Paper Voting. - Gleison Brito, Thaís Mombach, Marco Túlio Valente:
Migrating to GraphQL: A Practical Assessment. - Arielle Moro, Benoît Garbinato, Valérie Chavez-Demoulin:
Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy. - Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha N. S., Amogh Kamath, R. Venkatesh Babu:
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection. - Manolis Kyriakakis, Ion Androutsopoulos, Joan Ginés i Ametllé, Artur Saudabayev:
Transfer Learning for Causal Sentence Detection. - Caleb Phillips, Daniyal Liaqat, Moshe Gabel, Eyal de Lara:
Wrist02 - Reliable Peripheral Oxygen Saturation Readings from Wrist-Worn Pulse Oximeters. - Amin Mahdizadeh, Robert Schmid, Denny Oetomo:
LIDAR-Assisted Exact Output Regulation for Load Mitigation in Wind Turbines. - Menglin Xia, Ekaterina Kochmar, Ted Briscoe:
Automatic learner summary assessment for reading comprehension. - Hua Yang, Bilen Emek Abali, Wolfgang H. Müller, D. Timofeev:
Determination of Metamaterial Parameters by Means of a Homogenization Approach Based on Asymptotic Analysis. - Marie Duzí, Ales Horák:
Hyperintensional Reasoning based on Natural Language Knowledge Base. - Venktesh Pandey, Julien Monteil, Claudio Gambella, Andrea Simonetto:
On the needs for MaaS platforms to handle competition in ridesharing mobility. - Gautam Prasad, Upendra Reddy Vuyyuru, Mithun Das Gupta:
Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond. - Robert Ipanaqué, Ricardo Velezmoro, R. T. Urbina:
Bspline solids manipulation with Mathematica. - Ali Mohamed AbdelAziz, Amin A. Shoukry, Walid Gomaa, Moustafa Youssef:
Trans-Sense: Real Time Transportation Schedule Estimation Using Smart Phones. - Konrad Zolna, Thibault Asselborn, Caroline Jolly, Laurence Casteran, Marie-Ange Nguyen-Morel, Wafa Johal, Pierre Dillenbourg:
The Dynamics of Handwriting Improves the Automated Diagnosis of Dysgraphia. - Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh:
EcoMobiFog - Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications. - Menglin Xia, Ekaterina Kochmar, Ted Briscoe:
Text Readability Assessment for Second Language Learners. - Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling:
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem. - Tadashi Kozuno, Dongqi Han, Kenji Doya:
Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning. - Reza Vosooghi, Jakob Puchinger, Marija Jankovic, Anthony Vouillon:
Shared Autonomous Vehicle Simulation and Service Design. - Jérôme Revaud, Jon Almazán, Rafael Sampaio de Rezende, César Roberto de Souza:
Learning with Average Precision: Training Image Retrieval with a Listwise Loss. - Prabhant Singh, Tobias Jacobs, Sebastien Nicolas, Mischa Schmidt:
A Study of the Learning Progress in Neural Architecture Search Techniques. - Julien Rossi, Matthias Wirth, Evangelos Kanoulas:
Query Generation for Patent Retrieval with Keyword Extraction based on Syntactic Features. - Stefan Schweter, Johannes Baiter:
Towards Robust Named Entity Recognition for Historic German. - Jeremy Barnes:
LTG-Oslo Hierarchical Multi-task Network: The importance of negation for document-level sentiment in Spanish. - Antoine Caubrière, Natalia A. Tomashenko, Antoine Laurent, Emmanuel Morin, Nathalie Camelin, Yannick Estève:
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability. - Haris Aziz, Hau Chan, Bo Li:
Weighted Maxmin Fair Share Allocation of Indivisible Chores. - Jeremy Barnes, Erik Velldal, Lilja Øvrelid:
Improving Sentiment Analysis with Multi-task Learning of Negation. - Tyler Lekang, Andrew G. Lamperski:
Simple Algorithms for Dueling Bandits. - David Gotz, Jonathan Zhang, Wenyuan Wang, Joshua Shrestha, David Borland:
Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation. - Rishabh Jain, Pranava Madhyastha:
Model Explanations under Calibration. - David Borland, Wenyuan Wang, Jonathan Zhang, Joshua Shrestha, David Gotz:
Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data. - Fabrizio Genovese, Jelle Herold:
The Mathematical Specification of the Statebox Language. - Karan N. Chadha, Ankur A. Kulkarni:
Aggregate Play and Welfare in Strategic Interactions on Networks. - Ge Yin, Xiao Xiao, Fehmi Cirak:
Topologically robust CAD model generation for structural optimisation. - Jacob R. Kauffmann, Malte Esders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller:
From Clustering to Cluster Explanations via Neural Networks. - Bryce Morrow, Trevor Manz, Arlene E. Chung, Nils Gehlenborg, David Gotz:
Periphery Plots for Contextualizing Heterogeneous Time-Based Charts. - André Biedenkapp, H. Furkan Bozkurt, Frank Hutter, Marius Lindauer:
Towards White-box Benchmarks for Algorithm Control. - Alice Othmani, Fakhri Torkhani, Jean-Marie Favreau:
3D Geometric salient patterns analysis on 3D meshes. - Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung:
A Weakly Supervised Learning Based Clustering Framework. - Tsvetomila Mihaylova, André F. T. Martins:
Scheduled Sampling for Transformers. - Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai:
Estimating a Manifold from a Tangent Bundle Learner. - Song Nguyen Duc Cong, Quoc Hung Ngo, Rachsuda Jiamthapthaksin:
State-of-the-Art Vietnamese Word Segmentation. - Tamas J. Madarasz:
Inferred successor maps for better transfer learning. - Tunazzina Islam:
Yoga-Veganism: Correlation Mining of Twitter Health Data. - Manuel Aiple, Wouter Gregoor, Andre Schiele:
Design and Characterization of the Dynamic Robotic Actuator Dyrac. - Vittorio Erba, Marco Gherardi, Pietro Rotondo:
Intrinsic dimension estimation for locally undersampled data. - Zhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao Zhang:
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition. - Gioacchino Tangari, Alessandro Finamore, Diego Perino:
Generalizing Critical Path Analysis on Mobile Traffic. - Robin Heinzler, Philipp Schindler, Jürgen Seekircher, Werner Ritter, Wilhelm Stork:
Weather Influence and Classification with Automotive Lidar Sensors. - Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal:
Expressing Visual Relationships via Language. - Sébastien Lugan, Paul Desbordes, Luis Xavier Ramos Tormo, Axel Legay, Benoît Macq:
Secure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn). - Julia Ive, Pranava Madhyastha, Lucia Specia:
Distilling Translations with Visual Awareness. - (Withdrawn) Approximation power of random neural networks.
- Ludvig af Klinteberg, Fredrik Fryklund, Anna-Karin Tornberg:
An adaptive kernel-split quadrature method for parameter-dependent layer potentials. - Daniel Karl I. Weidele:
Conditional Parallel Coordinates. - Abuthahir, Gaurav Raina:
Impact of queue feedback on the stability and dynamics of a Rate Control Protocol (RCP) with two delays. - Dmitri Presnov, Julia Kurz, Judith Willkomm, Johannes Dillmann, Daniel Remmel, Robert Zilke, Veit Braun, Cornelius Schubert, Andreas Kolb:
Integrated Visualization of Patient Data. - Fande Kong, Yaqi Wang, Derek R. Gaston, Alexander D. Lindsay, Cody J. Permann, Richard C. Martineau:
A scalable multilevel domain decomposition preconditioner with a subspace-based coarsening algorithm for the neutron transport calculations. - Masoumeh Shafieinejad, Jiaqi Wang, Nils Lukas, Florian Kerschbaum:
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks. - Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis:
Joint Learning of Geometric and Probabilistic Constellation Shaping. - Zixi Quan, Volker Haarslev:
A Framework for Parallelizing OWL Classification in Description Logic Reasoners. - Stephen Lombardi, Tomas Simon, Jason M. Saragih, Gabriel Schwartz, Andreas M. Lehrmann, Yaser Sheikh:
Neural Volumes: Learning Dynamic Renderable Volumes from Images. - Patricia Bouyer, Nathan Thomasset:
Nash equilibria in games over graphs equipped with a communication mechanism. - Patrick O'Hara, M. S. Ramanujan, Theodoros Damoulas:
On the Constrained Least-cost Tour Problem. - Fei Xu, Yingtao Zhang, Min Xian, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang:
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling. - Jian Zhang, Bruno Clerckx, Jianhua Ge, Yijie Mao:
Cooperative Rate-Splitting for MISO Broadcast Channel with User Relaying. - Nader Beigiparast, Gokhan M. Guvensen, Ender Ayanoglu:
The Effect of Spatial Correlation on the Performance of Uplink and Downlink Single-Carrier Massive MIMO Systems. - Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri:
Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior. - Sara Mardanisamani, Farhad Maleki, Sara Hosseinzadeh Kassani, Sajith Rajapaksa, Hema Sudhakar Duddu, Menglu Wang, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin, Ian Stavness, Mark G. Eramian:
Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola using a DCNN Augmented with Handcrafted Texture Features. - Luis Muñoz-González, Bjarne Pfitzner, Matteo Russo, Javier Carnerero-Cano, Emil C. Lupu:
Poisoning Attacks with Generative Adversarial Nets. - Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux:
Information matrices and generalization. - Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu:
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. - Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu, Xiao Xiang Zhu:
SEN12MS - A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion. - Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White:
Hill Climbing on Value Estimates for Search-control in Dyna. - Joshua G. Mangelson, Maani Ghaffari Jadidi, Ram Vasudevan, Ryan M. Eustice:
Characterizing the Uncertainty of Jointly Distributed Poses in the Lie Algebra. - Zhaohan Daniel Guo, Emma Brunskill:
Directed Exploration for Reinforcement Learning. - Nimisha Limaye, Abhrajit Sengupta, Mohammed Nabeel, Ozgur Sinanoglu:
Is Robust Design-for-Security Robust Enough? Attack on Locked Circuits with Restricted Scan Chain Access. - Alberto Poncelas, Gideon Maillette de Buy Wenniger, Andy Way:
Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods. - Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Declarative Learning-Based Programming as an Interface to AI Systems. - Diego Calvanese, Silvio Ghilardi, Alessandro Gianola, Marco Montali, Andrey Rivkin:
Formal Modeling and SMT-Based Parameterized Verification of Data-Aware BPMN (Extended Version). - Spencer Smith, Malavika Srinivasan, Sumanth Shankar:
Debunking the Myth that Upfront Requirements are Infeasible for Scientific Computing Software. - Jose Capco, Manuel Joseph C. Loquias, Saraleen Mae M. Manongsong, Fidel R. Nemenzo:
Inverse Kinematics of Some General 6R/P Manipulators. - Ran Xu, Manu Mathew Thomas, Alex D. Leow, Olusola Ajilore, Angus G. Forbes:
TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy. - Paul Budnarain, Renato Ferreira Pinto Junior, Ilan Kogan:
RadGrad: Active learning with loss gradients. - Newsha Ardalani, Urmish Thakker, Aws Albarghouthi, Karu Sankaralingam:
A Static Analysis-based Cross-Architecture Performance Prediction Using Machine Learning. - Lamya Abdullah, Felix C. Freiling, Juan Quintero, Zinaida Benenson:
Sealed Computation: Abstract Requirements for Mechanisms to Support Trustworthy Cloud Computing. - Francis Williams, Matthew Trager, Cláudio T. Silva, Daniele Panozzo, Denis Zorin, Joan Bruna:
Gradient Dynamics of Shallow Univariate ReLU Networks. - Sohrab Towfighi:
A general methodology to assess symbolic regression algorithms using the generation of random equations with uniform random sampling. - Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik:
Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation. - Mohammad Javad Amiri, Sujaya Maiyya, Divyakant Agrawal, Amr El Abbadi:
SeeMoRe: A Fault-Tolerant Protocol for Hybrid Cloud Environments. - Donghyeon Cho, Sungeun Hong, Sungil Kang, Jiwon Kim:
Key Instance Selection for Unsupervised Video Object Segmentation. - Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu:
BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain. - Jiin Nam, Seunghyun Yoon, Kyomin Jung:
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model. - Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu, Alain Tapp:
Agnostic data debiasing through a local sanitizer learnt from an adversarial network approach. - Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum:
Supervised Hierarchical Clustering with Exponential Linkage. - Wan Dan, Hao Zhan:
Controllable Planning, Responsibility, and Information in automatic Driving Technology. - Yanan Yu, Yongpei Guan, Yonghong Chen:
An Integral Formulation and Convex Hull Pricing for Unit Commitment. - Nan Gao, Wei Shao, Flora D. Salim:
Predicting Personality Traits from Physical Activity Intensity. - Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White:
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study. - Tat-Jun Chin, Samya Bagchi:
Event-based Star Tracking via Multiresolution Progressive Hough Transforms. - Zaiqiang Wu, Wei Jiang:
Analytical Derivatives for Differentiable Renderer: 3D Pose Estimation by Silhouette Consistency. - Sankardeep Chakraborty, Kunihiko Sadakane:
Indexing Graph Search Trees and Applications. - Sankardeep Chakraborty, Anish Mukherjee, Srinivasa Rao Satti:
Space Efficient Algorithms for Breadth-Depth Search. - Qing Yang, Wei Wen, Zuoguan Wang, Hai Li:
Joint Pruning on Activations and Weights for Efficient Neural Networks. - Xinyu Wang, Jingxian Huang, Kewei Tu:
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks. - Lucy Lu Wang, Gabriel Stanovsky, Luca Weihs, Oren Etzioni:
Gender trends in computer science authorship. - Jane Chandlee, Rémi Eyraud, Jeffrey Heinz, Adam Jardine, Jonathan Rawski:
Learning with Partially Ordered Representations. - Kedar Tatwawadi, Shubham Chandak:
Tutorial on algebraic deletion correction codes. - Jianchao Bai, Xiaokai Chang, Jicheng Li, Fengmin Xu:
Convergence Revisit on Generalized Symmetric ADMM. - Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin Murphy, Honglak Lee:
Unsupervised Learning of Object Structure and Dynamics from Videos. - Jingyu Yang, Ji Xu, Kun Li, Yu-Kun Lai, Huanjing Yue, Jianzhi Lu, Hao Wu, Yebin Liu:
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views. - Hisashi Shimodaira:
Extended probabilistic Rand index and the adjustable moving window-based pixel-pair sampling method. - Shihao Yan, Xiangyun Zhou, Jinsong Hu, Stephen V. Hanly:
Low Probability of Detection Communication: Opportunities and Challenges. - Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler:
Domain Adaptation for Enterprise Email Search. - Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition. - Shruti Palaskar, Jindrich Libovický, Spandana Gella, Florian Metze:
Multimodal Abstractive Summarization for How2 Videos. - Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon:
Adversarial Task-Specific Privacy Preservation under Attribute Attack. - Brian de Silva, David M. Higdon, Steven L. Brunton, J. Nathan Kutz:
Discovery of Physics from Data: Universal Laws and Discrepancy Models. - Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu:
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. - Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee:
Convergence of Adversarial Training in Overparametrized Networks. - Supanut Chaidee, Kokichi Sugihara:
Existence of a Convex Polyhedron with Respect to the Given Radii. - Hanbin Hu, Mit Shah, Jianhua Z. Huang, Peng Li:
Global Adversarial Attacks for Assessing Deep Learning Robustness. - Sefi Akerman, Edan Habler, Asaf Shabtai:
VizADS-B: Analyzing Sequences of ADS-B Images Using Explainable Convolutional LSTM Encoder-Decoder to Detect Cyber Attacks. - Aytekin Cibik, Fatma G. Eroglu, Songul Kaya:
Numerical analysis of an efficient second order time filtered backward Euler method for MHD equations. - Rongfang Wang, Jie Zhang, Jiawei Chen, Licheng Jiao, Mi Wang:
Imbalanced Learning-based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net. - Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li:
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing. - Rongfang Wang, Jiawei Chen, Yule Wang, Licheng Jiao, Mi Wang:
SAR Image Change Detection via Spatial Metric Learning with an Improved Mahalanobis Distance. - Yan Liu, Yun Li, Yunhao Yuan, Jipeng Qiang:
A simple and effective postprocessing method for image classification. - Joyce Xin-Yan Lim, Dasheng Leow, Quang-Cuong Pham, Choon-Hong Tan:
Development of a robotic system for automatic organic chemistry synthesis. - Mingjie Li, Youqian Feng, Zhonghai Yin, Cheng Zhou, Fanghao Dong, Yuan Lin, Yuhao Dong:
An Action Recognition network for specific target based on rMC and RPN. - Ville Vakkuri, Kai-Kristian Kemell, Joni Kultanen, Mikko T. Siponen, Pekka Abrahamsson:
Ethically Aligned Design of Autonomous Systems: Industry viewpoint and an empirical study. - Changlu Chen, Chaoxi Niu, Xia Zhan, Kun Zhan:
Generative approach to unsupervised deep local learning. - Jian Du, Peixin Li, Robin Haunschild, Yinan Sun, Xiaoli Tang:
Patent citations to scientific papers as early signs for predicting delayed recognition of scientific discoveries: a comparative study with instant recognition. - Emre Yilmaz, Adem Derinel, Kun Zhou, Henk van den Heuvel, Niko Brummer, Haizhou Li, David A. van Leeuwen:
Large-Scale Speaker Diarization of Radio Broadcast Archives. - Georgios Mylonas, Dimitrios Amaxilatis, Helen-Catherine Leligou, Theodore B. Zahariadis, E. Zacharioudakis, Jörg Hofstätter, Andreas Friedl, Federica Paganelli, Giovanni Cuffaro, Jimm Lerch:
Addressing behavioral change towards energy efficiency in European educational buildings. - Ben Snowball, Sheehan Olver:
Sparse spectral and p-finite element methods for partial differential equations on disk slices and trapeziums. - Mohammad Mousa-Abadian, Sayed Hodjatollah Momeni-Masuleh:
On mixed steps-collocation schemes for nonlinear fractional delay differential equations. - Xinyu Wei, Mengjia Zhou, Bernie Liu:
Camouflage Design of Analysis Based on HSV Color Statistics and K-means Clustering. - Shun Kodate, Ryusuke Chiba, Shunya Kimura, Naoki Masuda:
Detecting problematic transactions in a consumer-to-consumer e-commerce network. - Erdem Biyik, Kenneth Wang, Nima Anari, Dorsa Sadigh:
Batch Active Learning Using Determinantal Point Processes. - Chenhui Chu, Raj Dabre:
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation. - Shouvik Mani:
Artistic Enhancement and Style Transfer of Image Edges using Directional Pseudo-coloring. - Rafael Pinot, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
A unified view on differential privacy and robustness to adversarial examples. - Hugo Penedones, Carlos Riquelme, Damien Vincent, Hartmut Maennel, Timothy A. Mann, André Barreto, Sylvain Gelly, Gergely Neu:
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates. - Wei Yi, Suqi Li, Bailu Wang, Reza Hoseinnezhad, Lingjiang Kong:
Computationally Efficient Distributed Multi-sensor Fusion with Multi-Bernoulli Filter. - Per Erik Strandberg:
Ethical Interviews in Software Engineering. - Dou Goodman, Tao Wei:
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield. - Qinyi Wang, Emre Yilmaz, Adem Derinel, Haizhou Li:
Code-Switching Detection Using ASR-Generated Language Posteriors. - Klemen Istenic, Nuno Gracias, Aurélien Arnaubec, Javier Escartin, Rafael García:
Automatic Scale Estimation of Structure from Motion based 3D Models using Laser Scalers. - Christopher Schwartz, Rebekah Overdorf:
Subtle Censorship via Adversarial Fakeness in Kyrgyzstan. - Omar J. Faqir, Eric C. Kerrigan, Deniz Gündüz, Yuanbo Nie:
Joint Optimization of Transmission and Propulsion in UAV-Assisted Communication Networks. - Rute C. Sofia:
A tool to estimate roaming behavior in wireless architectures. - Petra Wolf:
From Decidability to Undecidability by Considering Regular Sets of Instances. - Rute C. Sofia, Saeik Firdose, Luis Amaral Lopes, Waldir Moreira, Paulo Mendes:
NSense: A People-centric, non-intrusive Opportunistic Sensing Tool for Contextualizing Nearness. - Niv Nayman, Asaf Noy, Tal Ridnik, Itamar Friedman, Rong Jin, Lihi Zelnik-Manor:
XNAS: Neural Architecture Search with Expert Advice. - Kuniharu Sakurada, Gowrishankar Ganesh, Wenwei Yu, Kahori Kita:
Accurate decoding of materials using a finger mounted accelerometer. - Mario Geiger, Stefano Spigler, Arthur Jacot, Matthieu Wyart:
Disentangling feature and lazy learning in deep neural networks: an empirical study. - Weinan E, Chao Ma, Lei Wu:
Barron Spaces and the Compositional Function Spaces for Neural Network Models. - Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa:
Low-resource Deep Entity Resolution with Transfer and Active Learning. - Katherine E. Fitch:
Learning Directed Graphical Models from Gaussian Data. - Gregory Z. Gutin, Yuefang Sun:
Arc-disjoint in- and out-branchings rooted at the same vertex in compositions of digraphs. - Guilherme Avelino, Eleni Constantinou, Marco Túlio Valente, Alexander Serebrenik:
On the abandonment and survival of open source projects: An empirical investigation. - Alfonso Emilio Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Novelty Messages Filtering for Multi Agent Privacy-preserving Planning. - Francesc Wilhelmi, Sergio Barrachina-Muñoz, Boris Bellalta:
On the Performance of the Spatial Reuse Operation in IEEE 802.11ax WLANs. - Kazuki Seshimo, Akira Ota, Daichi Nishio, Satoshi Yamane:
Online Heterogeneous Mixture Learning for Big Data. - Mike Zhang, Antonio Toral:
The Effect of Translationese in Machine Translation Test Sets. - Eskil Jörgensen, Christopher Zach, Fredrik Kahl:
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss. - Guillaume Rousseau, Roberto Di Cosmo, Stefano Zacchiroli:
Growth and Duplication of Public Source Code over Time: Provenance Tracking at Scale. - Jingwei Zhang, Shuhong Gao, Changan Zhao:
Linear Complexity of A Family of Binary pq2-periodic Sequences From Euler Quotients. - Yutaka Nagashima:
LiFtEr: Language to Encode Induction Heuristics for Isabelle/HOL. - Pietro Boccadoro, Angelo Cardellicchio:
PLANE: An Extensible Open Source Framework for modeling the Internet of Drones. - Shiyin Wang:
Predicting Drug Responses by Propagating Interactions through Text-Enhanced Drug-Gene Networks. - Jiapeng Zhu, Deli Zhao, Bo Zhang:
LIA: Latently Invertible Autoencoder with Adversarial Learning. - Antonin Delpeuch:
A survey of OpenRefine reconciliation services. - Yusuke Shido, Yasuaki Kobayashi, Akihiro Yamamoto, Atsushi Miyamoto, Tadayuki Matsumura:
Automatic Source Code Summarization with Extended Tree-LSTM. - Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu:
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. - Luigi Asprino, Wouter Beek, Paolo Ciancarini, Frank van Harmelen, Valentina Presutti:
The Linked Open Data cloud is more abstract, flatter and less linked than you may think! - Richard Mayne, Thomas C. Draper, Neil Phillips, James Gerald Holland Whiting, Roshan Weerasekera, Claire Fullarton, Ben P. J. de Lacy Costello, Andrew Adamatzky:
Neuromorphic Liquid Marbles With Aqueous Carbon Nanotube Cores. - Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu:
Pre-Training with Whole Word Masking for Chinese BERT. - Zalán Borsos, Andrey Khorlin, Andrea Gesmundo:
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents. - Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung:
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. - Qinghai Zheng, Jihua Zhu, Zhiqiang Tian, Zhongyu Li, Shanmin Pang, Xiuyi Jia:
Constrained Bilinear Factorization Multi-view Subspace Clustering. - Huang Xiao, Michael Herman, Jörg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh:
Wasserstein Adversarial Imitation Learning. - Tomer Gafni, Kobi Cohen:
Learning in Restless Multi-Armed Bandits via Adaptive Arm Sequencing Rules. - Mihkel Veske, Andreas Kyritsakis, Kyrre Ness Sjobak, Vahur Zadin, Alvo Aabloo, Flyura Djurabekova:
Dynamic coupling between particle-in-cell and atomistic simulations. - Thomas Mortier, Marek Wydmuch, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman:
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification. - Julian Hornich, Julian Hammer, Georg Hager, Thomas Gruber, Gerhard Wellein:
Collecting and Presenting Reproducible Intranode Stencil Performance: INSPECT. - Chandra Kanth Nagesh, K. N. Hemanth Rao, Anjan K. Koundinya:
Secure Handshake Mechanism for Autonomous Flying Agents Using Robust Cryptosystem. - Hugo A. Akitaya, Leonie Ryvkin, Csaba D. Tóth:
Rock Climber Distance: Frogs versus Dogs. - Thomas Vogel, Chinh Tran, Lars Grunske:
Does Diversity Improve the Test Suite Generation for Mobile Applications? - Jing Cheng, Haifeng Wang, Yanjie Zhu, Qiegen Liu, Hairong Zheng, Leslie Ying, Dong Liang:
Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning. - Arun Pandey, Joachim Schreurs, Johan A. K. Suykens:
Generative Restricted Kernel Machines. - Anton G. Artemov:
Sparse approximate matrix multiplication in a fully recursive distributed task-based parallel framework. - Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Camtepe, Ibrahim Khalil:
Efficient privacy preservation of big data for accurate data mining. - Yin-Jyun Luo, Kat Agres, Dorien Herremans:
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. - Daniel Furelos-Blanco, Anders Jonsson:
Solving Multiagent Planning Problems with Concurrent Conditional Effects. - Andreas Kirsch, Joost van Amersfoort, Yarin Gal:
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning. - Nikhil Garg, Lodewijk Gelauff, Sukolsak Sakshuwong, Ashish Goel:
Who is in Your Top Three? Optimizing Learning in Elections with Many Candidates. - Michael S. Floater, Kaibo Hu:
A characterization of supersmoothness of multivariate splines. - Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy:
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. - Sanket Tavarageri, Srinivas Sridharan, Bharat Kaul:
Automatic Model Parallelism for Deep Neural Networks with Compiler and Hardware Support. - Brian Bockelman, Zhe Zhang, Oksana Shadura:
Speeding HEP Analysis with ROOT Bulk I/O. - Chit-Kwan Lin, Stephen J. Tarsa:
Branch Prediction Is Not a Solved Problem: Measurements, Opportunities, and Future Directions. - Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Guang Yong, Juhyun Lee, Wan-Teh Chang, Wei Hua, Manfred Georg, Matthias Grundmann:
MediaPipe: A Framework for Building Perception Pipelines. - Xinxin Liu, Yu Hua, Xuan Li, Qifan Liu:
Write-Optimized and Consistent RDMA-based NVM Systems. - Tommy Mckinnon:
MaGPoS - A novel decentralized consensus mechanism combining magnetism and proof of stake. - Mehrdad Salimitari, Mohsen Joneidi, Mainak Chatterjee:
An Outlier-aware Consensus Protocol for Blockchain-based IoT Networks Using Hyperledger Fabric. - Pranav Ashok, Tomás Brázdil, Krishnendu Chatterjee, Jan Kretínský, Christoph H. Lampert, Viktor Toman:
Strategy Representation by Decision Trees with Linear Classifiers. - Tyler G. R. Reid, Nahid Pervez, Umair Ibrahim, Sarah E. Houts, Gaurav Pandey, Naveen K. R. Alla, Andy Hsia:
Standalone and RTK GNSS on 30, 000 km of North American Highways. - Xiaozhe Hu, Panayot S. Vassilevski:
Modifying AMG coarse spaces with weak approximation property to exhibit approximation in energy norm. - Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee:
QXplore: Q-learning Exploration by Maximizing Temporal Difference Error. - Sebastian Blaes, Marin Vlastelica Pogancic, Jia-Jie Zhu, Georg Martius:
Control What You Can: Intrinsically Motivated Task-Planning Agent. - Júlia Borràs Sol, Guillem Alenyà, Carme Torras:
A Grasping-centered Analysis for Cloth Manipulation. - Jieren Cheng, Junqi Li, Xiangyan Tang, Victor S. Sheng, Chen Zhang, Mengyang Li:
A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning. - Imtiaz Masud Ziko, Eric Granger, Jing Yuan, Ismail Ben Ayed:
Clustering with Fairness Constraints: A Flexible and Scalable Approach. - Pol del Aguila Pla, Lissy Pellaco, Satyam Dwivedi, Peter Händel, Joakim Jaldén:
Clock synchronization over networks - Identifiability of the sawtooth model. - Khaled Ahmed Nagaty:
Deep Fuzzy Systems. - Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, R. Devon Hjelm:
Unsupervised State Representation Learning in Atari. - Thomas Blesgen, Ada Amendola:
Mathematical modeling of a Cosserat method in finite-strain holonomic plasticity. - Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song:
Evaluating Protein Transfer Learning with TAPE. - Maurice Tchoupé Tchendji, Adolphe Gaius Nkuefone, Thomas Tébougang Tchendji:
Holistic evaluation of XML queries with structural preferences on an annotated strong dataguide. - Adithyavairavan Murali, Tao Chen, Kalyan Vasudev Alwala, Dhiraj Gandhi, Lerrel Pinto, Saurabh Gupta, Abhinav Gupta:
PyRobot: An Open-source Robotics Framework for Research and Benchmarking. - Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le:
XLNet: Generalized Autoregressive Pretraining for Language Understanding. - Kyle Singer, Kunal Agrawal, I-Ting Angelina Lee:
Reduced I/O Latency with Futures. - Kara-Ali Aliev, Dmitry Ulyanov, Victor S. Lempitsky:
Neural Point-Based Graphics. - Justin Domke:
Provable Gradient Variance Guarantees for Black-Box Variational Inference. - Abdul Rahman Shaikh, Hamed Alhoori:
Predicting Patent Citations to measure Economic Impact of Scholarly Research. - Luca Mariot, Maximilien Gadouleau, Enrico Formenti, Alberto Leporati:
Mutually Orthogonal Latin Squares based on Cellular Automata. - Michael Janner, Justin Fu, Marvin Zhang, Sergey Levine:
When to Trust Your Model: Model-Based Policy Optimization. - James Usevitch, Dimitra Panagou:
Resilient Leader-Follower Consensus with Time-Varying Leaders in Discrete-Time Systems. - Christopher Geier:
Training on test data: Removing near duplicates in Fashion-MNIST. - Dustin Lockhart Arendt, Matthew Broussard, Bala Krishnamoorthy, Nathaniel Saul:
Jaccard Filtration and Stable Paths in the Mapper. - Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli:
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks. - Jinzhao Chen, Japan K. Patel, Richard Vasques:
Solver Recommendation For Transport Problems in Slabs Using Machine Learning. - Frederick Liu, Besim Avci:
Incorporating Priors with Feature Attribution on Text Classification. - Tanya Goyal, Greg Durrett:
Embedding time expressions for deep temporal ordering models. - Roni Stern, Nathan R. Sturtevant, Ariel Felner, Sven Koenig, Hang Ma, Thayne T. Walker, Jiaoyang Li, Dor Atzmon, Liron Cohen, T. K. Satish Kumar, Eli Boyarski, Roman Barták:
Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks. - Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Helen Li, Yiran Chen:
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. - Edith Hemaspaandra, Lane A. Hemaspaandra, Jörg Rothe:
The Complexity of Online Bribery in Sequential Elections. - Georgia Pierrou, Xiaozhe Wang:
The Effect of the Uncertainty of Load and Renewable Generation on the Dynamic Voltage Stability Margin. - Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon:
Calibrated Model-Based Deep Reinforcement Learning. - Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits:
REflex: Flexible Framework for Relation Extraction in Multiple Domains. - Badih Ghazi, Rasmus Pagh, Ameya Velingker:
Scalable and Differentially Private Distributed Aggregation in the Shuffled Model. - Christos Louizos, Xiahan Shi, Klamer Schutte, Max Welling:
The Functional Neural Process. - Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien:
GEAR: Geometry-Aware Rényi Information. - Jun Zhang, Yamei Liu, Shengping Zhang, Ronald Poppe, Meng Wang:
Light Field Saliency Detection with Deep Convolutional Networks. - Hao Luo, Wei Jiang, Youzhi Gu, Fuxu Liu, Xingyu Liao, Shenqi Lai, Jianyang Gu:
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification. - Hamidreza Mahyar, Rouzbeh Hasheminezhad, Harry Eugene Stanley:
Compressive Closeness in Networks. - Subhro Das, Chandramouli Maduri, Ching-Hua Chen, Pei-Yun Sabrina Hsueh:
Learning Patient Engagement in Care Management: Performance vs. Interpretability. - Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
Learning Compressed Sentence Representations for On-Device Text Processing. - Damian M. Lyons, Saba B. Zahra, Thomas M. Marshall:
Towards Lakosian Multilingual Software Design Principles. - Michael S. Floater, Francesco Patrizi:
Transfinite mean value interpolation over polygons. - René Haberland, Igor L. Bratchikov:
Transformation of XML Documents with Prolog. - Roberto Confalonieri, Fermín Moscoso del Prado, Sebastia Agramunt, Daniel Malagarriga, Daniele Faggion, Tillman Weyde, Tarek R. Besold:
An Ontology-based Approach to Explaining Artificial Neural Networks. - René Haberland:
Unification of Template-Expansion and XML-Validation. - Mohammed Laroui, Akrem Sellami, Boubakr Nour, Hassine Moungla, Hossam Afifi, Sofiane Boukli Hacene:
Driving Path Stability in VANETs. - Karolina Okrasa, Pawel Rzazewski:
Fine-grained complexity of graph homomorphism problem for bounded-treewidth graphs. - Maizura Mokhtar, Valentin Robu, David Flynn, Ciaran Higgins, Jim Whyte, Caroline Loughran, Fiona Fulton:
Predicting the Voltage Distribution for Low Voltage Networks using Deep Learning. - Inom Mirzaev, Anthony Schulte, Michael D. Conover, Sam Shah:
Considerations for the Interpretation of Bias Measures of Word Embeddings. - Claudio Zito, Tomasz Deregowski, Rustam Stolkin:
2D Linear Time-Variant Controller for Human's Intention Detection for Reach-to-Grasp Trajectories in Novel Scenes. - Claudio Zito, Maxime Adjigble, Brice D. Denoun, Lorenzo Jamone, Miles E. Hansard, Rustam Stolkin:
Metrics and Benchmarks for Remote Shared Controllers in Industrial Applications. - Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait:
An Open-World Extension to Knowledge Graph Completion Models. - Felix Krahmer, Dominik Stöger:
Complex phase retrieval from subgaussian measurements. - Han Zhao, Geoffrey J. Gordon:
Inherent Tradeoffs in Learning Fair Representation. - Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Experience Replay Optimization. - Renjie Zheng, Hairong Liu, Mingbo Ma, Baigong Zheng, Liang Huang:
Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report. - Mandy Guo, Yinfei Yang, Keith Stevens, Daniel Cer, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Hierarchical Document Encoder for Parallel Corpus Mining. - Matthew Roughan, Lewis Mitchell, Tobin South:
How the Avengers assemble: Ecological modelling of effective cast sizes for movies. - Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi, Sosuke Kobayashi:
Data Interpolating Prediction: Alternative Interpretation of Mixup. - Yue Gu, Zhihao Du, Hui Zhang, Xueliang Zhang:
A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword Spotting. - A. Emin Orhan, Brenden M. Lake:
Improving the robustness of ImageNet classifiers using elements of human visual cognition. - Mahdi Nikooghadam, Haleh Amintoosi:
Cryptanalysis of Khatoon et al.'s ECC-based Authentication Protocol for Healthcare Systems. - Gabriel Grand, Yonatan Belinkov:
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects. - Qiang Zou, Hsi-Yung Feng:
A decision-support method for information inconsistency resolution in direct modeling of CAD models. - Riqing Chen, Chunhui Li, Shihao Yan, Robert A. Malaney, Jinhong Yuan:
Physical Layer Security for Ultra-Reliable and Low-Latency Communications. - Siu-Wing Cheng, Kai Jin, Lie Yan:
Extensions of Self-Improving Sorters. - Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu:
Multi-Grained Named Entity Recognition. - Quoc-Viet Pham, Fang Fang, Ha-Nguyen Vu, Mai Le, Zhiguo Ding, Long Bao Le, Won-Joo Hwang:
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art. - Shubin Fu, Guanglian Li, Richard V. Craster, Sébastien Guenneau:
Wavelet-based Edge Multiscale Finite Element Method for Helmholtz problems in perforated domains. - Qiang Zou, Hsi-Yung Feng:
Push-pull direct CAD modeling with movable neighboring faces for preserving G^1 connections. - Chongyi Li, Runmin Cong, Junhui Hou, Sanyi Zhang, Yue Qian, Sam Kwong:
Nested Network with Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images. - Majid Moghadam, Gabriel Hugh Elkaim:
A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning. - Wei Hong, Jinke Yu, Fan Zong:
GAN-Knowledge Distillation for one-stage Object Detection. - Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric:
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. - Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles:
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets. - (Withdrawn) PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds.
- Jingwei Song, Fang Bai, Liang Zhao, Shoudong Huang, Rong Xiong:
Efficient two step optimization for large embedded deformation graph based SLAM. - Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön:
The trade-off between long-term memory and smoothness for recurrent networks. - Lingxiao Huang, Shaofeng H.-C. Jiang, Nisheeth K. Vishnoi:
Coresets for Clustering with Fairness Constraints. - Jamin Shin, Peng Xu, Andrea Madotto, Pascale Fung:
HappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead. - Zehong Lin, Yuan Liu:
Joint Uplink and Downlink Transmissions in User-Centric OFDMA Cloud-RAN. - Abdul Rahman Dabbour, Esra Erdem, Volkan Patoglu:
Object Placement on Cluttered Surfaces: A Nested Local Search Approach. - Meng Qu, Jian Tang:
Probabilistic Logic Neural Networks for Reasoning. - Zhuang Yang, Zengping Chen, Cheng Wang:
Accelerating Mini-batch SARAH by Step Size Rules. - Bishal Upadhaya, Donghan Feng, Yun Zhou, Qiang Gui, Xiaojin Zhao, Dan Wu:
Optimal Decision Making Model of Battery Energy Storage-Assisted Electric Vehicle Charging Station Considering Incentive Demand Response. - Jerone T. A. Andrews, Thomas Tanay, Lewis D. Griffin:
Multiple-Identity Image Attacks Against Face-based Identity Verification. - Canchen Li:
Preprocessing Methods and Pipelines of Data Mining: An Overview. - Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
From Zero-Shot Learning to Cold-Start Recommendation. - Jong Wook Kim, Juan Pablo Bello:
Adversarial Learning for Improved Onsets and Frames Music Transcription. - Saurabh Tiwari, Emina Smajlovic, Amina Krekic, Jagadish Suryadevara:
A System Modeling Approach to Enhance Functional and Software Development. - Francis R. Bach:
Max-Plus Matching Pursuit for Deterministic Markov Decision Processes. - Fabio Massimo Zennaro:
Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings. - Qiaoling Zhang, Lei Zheng, Minquan Cheng, Qingchun Chen:
On the Dynamic Centralized Coded Caching Design. - Roy Abel, Yoram Louzoun:
Regional based query in graph active learning. - Radoslav Paulen, Miroslav Fikar:
Dual-control based approach to batch process operation under uncertainty based on optimality-conditions parameterization. - Fuchen Long, Qi Cai, Zhaofan Qiu, Zhijian Hou, Yingwei Pan, Ting Yao, Chong-Wah Ngo:
vireoJD-MM at Activity Detection in Extended Videos. - Yutaka Nagashima:
Designing Game of Theorems. - Tanweer Alam:
Tactile Internet and its Contribution in the Development of Smart Cities. - Ville Vestman, Kong Aik Lee, Tomi H. Kinnunen, Takafumi Koshinaka:
Unleashing the Unused Potential of I-Vectors Enabled by GPU Acceleration. - Wei Huang, Youcheng Sun, Xiaowei Huang, James Sharp:
testRNN: Coverage-guided Testing on Recurrent Neural Networks. - Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz, Elad Yom-Tov:
Privacy, altruism, and experience: Estimating the perceived value of Internet data for medical uses. - Jingwei Song, Liang Zhao, Shoudong Huang, Gamini Dissanayake:
An observable time series based SLAM algorithm for deforming environment. - Kaveri Anuranjana, Vijjini Anvesh Rao, Radhika Mamidi:
Hindi Question Generation Using Dependency Structures. - Georges Nassopoulos, Patricia Serrano-Alvarado, Pascal Molli, Emmanuel Desmontils:
Extracting Basic Graph Patterns from Triple Pattern Fragment Logs. - Junni Zou, Chenglin Li, Chengming Liu, Qin Yang, Hongkai Xiong, Eckehard G. Steinbach:
Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming. - Nicholas Vincent, Isaac L. Johnson, Patrick Sheehan, Brent J. Hecht:
Measuring the Importance of User-Generated Content to Search Engines. - Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Pattern Spotting in Historical Documents Using Convolutional Models. - Ngoc-Quan Pham, Jan Niehues, Thanh-Le Ha, Alex Waibel:
Improving Zero-shot Translation with Language-Independent Constraints. - Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya:
REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model. - Chong Liu, Yu-Xiang Wang:
Doubly Robust Crowdsourcing. - Anas Shatnawi:
A New Framework for software Library Investment Metrics. - Rajarshee Mitra:
Conflict as an Inverse of Attention in Sequence Relationship. - Christian Otto, Matthias Springstein, Avishek Anand, Ralph Ewerth:
Understanding, Categorizing and Predicting Semantic Image-Text Relations. - Bo Wang, Hao Hu, Caixia Zhang:
Companion Surface of Danger Cylinder and its Role in Solution Variation of P3P Problem. - Dhanamma Jagli, Sunita Mahajan, N. Subhash Chandra:
CBC Approach for Evaluating Potential SaaS on the Cloud. - Sungjoon Koh, Jie Zhang, Miryeong Kwon, Jungyeon Yoon, David Donofrio, Nam Sung Kim, Myoungsoo Jung:
Exploring Fault-Tolerant Erasure Codes for Scalable All-Flash Array Clusters. - Mayank Raikwar, Danilo Gligoroski, Katina Kralevska:
SoK of Used Cryptography in Blockchain. - Daniele G. Spampinato, Diego Fabregat-Traver, Markus Püschel, Paolo Bientinesi:
Program Generation for Linear Algebra Using Multiple Layers of DSLs. - Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam:
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging. - David Ruhe, Giovanni Ciná, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers:
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. - Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Marcello H. Nogueira-Barbosa, Agma J. M. Traina:
BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. - Guo-Jun Qi:
Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations. - Behrad Toghi, Muhammad Ozair Mughal, Md Saifuddin, Yaser P. Fallah:
Spatio-temporal Dynamics of Cellular V2X Communication in Dense Vehicular Networks. - Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Samar M. Alsaleh, Robby T. Tan, Carola-Bibiane Schönlieb:
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian. - Joseph Bethge, Haojin Yang, Marvin Bornstein, Christoph Meinel:
Back to Simplicity: How to Train Accurate BNNs from Scratch? - Christoph Alt, Marc Hübner, Leonhard Hennig:
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction. - Astik Biswas, Emre Yilmaz, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler:
Semi-supervised acoustic model training for five-lingual code-switched ASR. - Tingwu Wang, Jimmy Ba:
Exploring Model-based Planning with Policy Networks. - Jean Lahoud, Bernard Ghanem, Marc Pollefeys, Martin R. Oswald:
3D Instance Segmentation via Multi-task Metric Learning. - Charles T. Marx, Richard Lanas Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Disentangling Influence: Using Disentangled Representations to Audit Model Predictions. - Alon Brutzkus, Amit Daniely, Eran Malach:
ID3 Learns Juntas for Smoothed Product Distributions. - Haoyu Zhao, Wei Chen:
Stochastic One-Sided Full-Information Bandit. - Guan Wang, Jianming Hu, Zhiheng Li, Li Li:
Cooperative Lane Changing via Deep Reinforcement Learning. - Tom Everitt, Ramana Kumar, Victoria Krakovna, Shane Legg:
Modeling AGI Safety Frameworks with Causal Influence Diagrams. - Mahmoud Habibnezhad, Jay Puckett, Mohammad Sadra Fardhosseini, Lucky Agung Pratama:
A Mixed VR and Physical Framework to Evaluate Impacts of Virtual Legs and Elevated Narrow Working Space on Construction Workers Gait Pattern. - Daan Camps, Thomas Mach, Raf Vandebril, David S. Watkins:
On pole-swapping algorithms for the eigenvalue problem. - Alan Lukezic, Luka Cehovin Zajc, Tomás Vojír, Jiri Matas, Matej Kristan:
Performance Evaluation Methodology for Long-Term Visual Object Tracking. - Adam Byerly, Tatiana Kalganova:
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks. - Mahmoud Habibnezhad, Jay Puckett, Mohammad Sadra Fardhosseini, Houtan Jebelli, Terry Stentz, Lucky Agung Pratama:
Experiencing Extreme Height for The First Time: The Influence of Height, Self-Judgment of Fear and a Moving Structural Beam on the Heart Rate and Postural Sway During the Quiet Stance. - Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen:
A Layered Aggregate Engine for Analytics Workloads. - Sougata Bose, Shankara Narayanan Krishna, Anca Muscholl, Vincent Penelle, Gabriele Puppis:
On Synthesis of Resynchronizers for Transducers. - Lu Yuan, Jie Ren, Ling Gao, Zhanyong Tang, Zheng Wang:
Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Multi-cores. - Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan:
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair. - Deepak Uniyal, Ankit Rai:
Citizens' Emotion on GST: A Spatio-Temporal Analysis over Twitter Data. - R. Ishwariya, John J. H. Miller, S. Valarmathi:
Parameter uniform essentially first order convergence of a fitted mesh method for a class of parabolic singularly perturbed Robin problem for a system of reaction-diffusion equations. - Brandon Amos, Vladlen Koltun, J. Zico Kolter:
The Limited Multi-Label Projection Layer. - Samuel Lensgraf, Karim Itani, Yinan Zhang, Zezhou Sun, Yijia Wu, Alberto Quattrini Li, Bo Zhu, Emily Whiting, Weifu Wang, Devin J. Balkcom:
PuzzleFlex: kinematic motion of chains with loose joints. - Yutai Hou, Zhihan Zhou, Yijia Liu, Ning Wang, Wanxiang Che, Han Liu, Ting Liu:
Few-Shot Sequence Labeling with Label Dependency Transfer. - Mehmet Yamac, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj:
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. - Jin-mo Choi:
Clustering and Classification Networks. - Christos Kyrkou, Theocharis Theocharides:
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles. - Mateus Tarcinalli Machado, Evandro Ruiz, Kuruvilla Joseph Abraham:
A New Statistical Approach for Comparing Algorithms for Lexicon Based Sentiment Analysis. - Niankai Yang, Dongsik Chang, Mohammad Reza Amini, Matthew Johnson-Roberson, Jing Sun:
Energy Management for Autonomous Underwater Vehicles Using Economic Model Predictive Control. - Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu:
Boosting for Dynamical Systems. - Bernd Krieg-Brückner, Till Mossakowski, Fabian Neuhaus:
Generic Ontology Design Patterns at Work. - Sokratia Georgaka, Giovanni Stabile, Kelbij Star, Gianluigi Rozza, Michael J. Bluck:
A Hybrid Reduced Order Method for Modelling Turbulent Heat Transfer Problems. - Sandro Stucki, César Sánchez, Gerardo Schneider, Borzoo Bonakdarpour:
Gray-box Monitoring of Hyperproperties (Extended Version). - Shuchi Chawla, Christina Ilvento, Meena Jagadeesan:
Individual Fairness in Sponsored Search Auctions. - Rui Aguiar, Kevin Liao:
Autonomous Haiku Generation. - David Güera, Sriram Baireddy, Paolo Bestagini, Stefano Tubaro, Edward J. Delp:
We Need No Pixels: Video Manipulation Detection Using Stream Descriptors. - Tommaso Cavallari, Luca Bertinetto, Jishnu Mukhoti, Philip H. S. Torr, Stuart Golodetz:
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation. - Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng:
A Graph Auto-Encoder for Attributed Network Embedding. - Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin:
An Improved Trade-off Between Accuracy and Complexity with Progressive Gradient Pruning. - Gauri Jagatap, Chinmay Hegde:
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. - Qiuxia Lai, Wenguan Wang, Salman H. Khan, Jianbing Shen, Hanqiu Sun, Ling Shao:
Human vs Machine Attention in Neural Networks: A Comparative Study. - K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian:
Submodular Batch Selection for Training Deep Neural Networks. - Uthsav Chitra, Christopher Musco:
Understanding Filter Bubbles and Polarization in Social Networks. - Valentina Fedorova, Gleb Gusev, Pavel Serdyukov:
Latent Distribution Assumption for Unbiased and Consistent Consensus Modelling. - Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour, Shilpa Talwar:
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework. - Guoliang Jv, Mingchao Cai, Jingzhi Li, Jing Tian:
Parameter-robust Multiphysics Algorithms for Biot Model with Application in Brain Edema Simulation. - Alianna J. Maren:
Derivation of the Variational Bayes Equations. - Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik:
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. - Haiguang Liao, Wentai Zhang, Xuliang Dong, Barnabás Póczos, Kenji Shimada, Levent Burak Kara:
A Deep Reinforcement Learning Approach for Global Routing. - Farhad Shirani, S. Sandeep Pradhan:
A New Achievable Rate-Distortion Region for Distributed Source Coding. - Batuhan Hangün, Önder Eyecioglu:
Performance Comparison Between OpenCV Built in CPU and GPU Functions on Image Processing Operations. - Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk:
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. - Ashesh Chattopadhyay, Pedram Hassanzadeh, Krishna V. Palem, Devika Subramanian:
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a hierarchy of deep learning methods: Reservoir computing, ANN, and RNN-LSTM. - Kanwar Bharat Singh, Mustafa Ali Arat:
Deep Learning in the Automotive Industry: Recent Advances and Application Examples. - Timothy Trippel, Kang G. Shin, Kevin B. Bush, Matthew Hicks:
An Extensible Framework for Quantifying the Coverage of Defenses Against Untrusted Foundries. - Leobardo Emmanuel Campos-Macias, Rodrigo Aldana-López, Rafael de la Guardia, Jose I. Parra-Vilchis, David Gómez-Gutiérrez:
Autonomous Navigation of MAVs in Unknown Cluttered Environments. - Timothy Trippel, Kang G. Shin, Kevin B. Bush, Matthew Hicks:
Defensive Routing: a Preventive Layout-Level Defense Against Untrusted Foundries. - Cagri Kilic, Jason N. Gross, Nicholas Ohi, Ryan M. Watson, Jared Strader, Thomas Swiger, Scott Harper, Yu Gu:
Improved Planetary Rover Inertial Navigation and Wheel Odometry Performance through Periodic Use of Zero-Type Constraints. - Chuyan Deng, Yuzhong Peng, Hongya Li, Daoqing Gong, Hao Zhang, Zhiping Liu:
A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization. - Hongya Li, Yuzhong Peng, Chuyan Deng, Yonghua Pan, Daoqing Gong, Hao Zhang:
A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming. - Roshan Gopalakrishnan, Yansong Chua, Ashish Jith Sreejith Kumar:
Hardware-friendly Neural Network Architecture for Neuromorphic Computing. - Nam Le:
Evolving Self-taught Neural Networks: The Baldwin Effect and the Emergence of Intelligence. - Kamal Z. Zamli, Fakhrud Din, Salmi Baharom, Bestoun S. Ahmed:
Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites. - Wei Luo, Feng Yu:
Learning Longer-term Dependencies via Grouped Distributor Unit. - Sebastian Risi, Kenneth O. Stanley:
Deep Neuroevolution of Recurrent and Discrete World Models. - Rahul Gupta, Aman Alok, Shankar Ananthakrishnan:
One-vs-All Models for Asynchronous Training: An Empirical Analysis. - Bodo Rückauer, Nicolas Känzig, Shih-Chii Liu, Tobi Delbrück, Yulia Sandamirskaya:
Closing the Accuracy Gap in an Event-Based Visual Recognition Task. - Jason Bernard, Ian McQuillan:
Techniques for Inferring Context-Free Lindenmayer Systems With Genetic Algorithm. - Deboleena Roy, Priyadarshini Panda, Kaushik Roy:
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation. - Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. - Shahaboddin Shamshirband, Amir Mosavi, Timon Rabczuk:
Particle swarm optimization model to predict scour depth around bridge pier. - Khaled F. Hussain, Mohamed Yousef Bassyouni, Erol Gelenbe:
Accurate and Energy-Efficient Classification with Spiking Random Neural Network: Corrected and Expanded Version. - Nam Le:
Evolving Self-supervised Neural Networks: Autonomous Intelligence from Evolved Self-teaching. - Xiaocong Du, Gokul Krishnan, Abinash Mohanty, Zheng Li, Gouranga Charan, Yu Cao:
Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches. - Bernd Bassimir, Manuel Schmitt, Rolf Wanka:
Self-adaptive Potential-based Stopping Criteria for Particle Swarm Optimization. - Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir:
Variance Reduction for Evolution Strategies via Structured Control Variates. - Andrew N. Sloss, Steven Gustafson:
2019 Evolutionary Algorithms Review. - Suraj Tripathi, Abhiram Ramesh, Abhay Kumar, Chirag Singh, Promod Yenigalla:
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition. - Matthew R. Karlsen, Sotiris K. Moschoyiannis:
Customer Segmentation of Wireless Trajectory Data. - Moshé Cotacallapa, Didier Augusto Vega-Oliveros:
Engagement index for users and conversations in encrypted messages from WhatsApp groups. - Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut:
Informative Image Captioning with External Sources of Information. - Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh:
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning. - Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg:
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks. - Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, Holger Schwenk, Philipp Koehn:
Low-Resource Corpus Filtering using Multilingual Sentence Embeddings. - Tuo Feng, Dongbing Gu:
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks. - Sandipan Choudhuri, Kaustav Basu, Kevin Thomas, Arunabha Sen:
Predicting Future Opioid Incidences Today. - Marcelo Marinho, John Noll, Ita Richardson, Sarah Beecham:
Plan-Driven approaches are alive and kicking in agile Global Software Development. - Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Sparse Spectrum Gaussian Process for Bayesian Optimisation. - Eli Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent:
Neural Topographic Factor Analysis for fMRI Data. - Chen Ding, Tian-Yi Bao, He-Liang Huang:
Quantum-Inspired Support Vector Machine. - Seemanta Saha, Ripon K. Saha, Mukul R. Prasad:
Harnessing Evolution for Multi-Hunk Program Repair. - Feiping Nie, Jing Li, Xuelong Li:
Intrinsic Weight Learning Approach for Multi-view Clustering. - Zhengbo Zou, Semiha Ergan:
Zero Latency for Emergencies: A Machine Learning based Approach to Quantify Impact of Construction Projects on Emergency Response in Urban Settings. - Vivek Kale, Christian Iwainsky, Michael Klemm, Jonas H. Müller Korndörfer, Florina M. Ciorba:
Toward a Standard Interface for User-Defined Scheduling in OpenMP. - Amruta Vidwans, Prateek Verma, Preeti Rao:
Understanding and Classifying Cultural Music Using Melodic Features Case Of Hindustani, Carnatic And Turkish Music. - Vishnu S. Chipade, Dimitra Panagou:
StringNet: Herding Adversarial Swarm in Obstacle Environment. - U. Yongnam, Ri Taehyong:
Scheduling for Flexible Manufacturing System with Objective Function to be Minimization of Total Processing Time and Unbalance of Machine Load. - Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows. - Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh:
Learning Reward Functions by Integrating Human Demonstrations and Preferences. - Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang:
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data. - Ignasi Merediz-Solà, Aurelio Fernández Bariviera:
A bibliometric analysis of Bitcoin scientific production. - Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales:
Meta-learning of textual representations. - Ligeng Zhu, Zhijian Liu, Song Han:
Deep Leakage from Gradients. - Team Rocket, Maofan Yin, Kevin Sekniqi, Robbert van Renesse, Emin Gün Sirer:
Scalable and Probabilistic Leaderless BFT Consensus through Metastability. - Qiang Hao, Jack P. Wilson, Camille Ottaway, Naitra Iriumi, Kai Arakawa, David H. Smith IV:
Investigating the Essential of Meaningful Automated Formative Feedback for Programming Assignments. - Ke-Wen Huang, Hui-Ming Wang, Don Towsley, H. Vincent Poor:
LPD Communication: A Sequential Change-Point Detection Perspective. - Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang:
Learning Bilingual Word Embeddings Using Lexical Definitions. - Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie:
Be Consistent! Improving Procedural Text Comprehension using Label Consistency. - Joey Hong, Benjamin Sapp, James Philbin:
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions. - Alexandra Barina, Gabriel Barina, Mihai Udrescu:
Appliance of network theory in economic geography. - Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier:
Randomized Exploration in Generalized Linear Bandits. - Tobias Gruber, Mario Bijelic, Felix Heide, Werner Ritter, Klaus Dietmayer:
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios. - Saeid Tizpaz-Niari, Pavol Cerný, Ashutosh Trivedi:
Quantitative Mitigation of Timing Side Channels. - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge. - Yiqi Zhong, Cho-Ying Wu, Suya You, Ulrich Neumann:
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion. - Duc-Minh Phan, Laurent Viennot:
Fast Public Transit Routing with Unrestricted Walking through Hub Labeling. - Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti:
A Deep Generative Model for Code-Switched Text. - Aadhavan M. Nambhi, Bhanu Prakash Reddy, Aarsh Prakash Agarwal, Gaurav Verma, Harvineet Singh, Iftikhar Ahamath Burhanuddin:
Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts. - Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. - Yuan-Hao Yi, Yang Ai, Zhen-Hua Ling, Li-Rong Dai:
Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling. - Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan:
Database Meets Deep Learning: Challenges and Opportunities. - Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin D. Cubuk, Justin Gilmer:
A Fourier Perspective on Model Robustness in Computer Vision. - Xinchen Yan, Mohi Khansari, Jasmine Hsu, Yuanzheng Gong, Yunfei Bai, Sören Pirk, Honglak Lee:
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks. - Katrin Affolter, Kurt Stockinger, Abraham Bernstein:
A Comparative Survey of Recent Natural Language Interfaces for Databases. - Jayesh Badwaik, Nils Henrik Risebro, Christian Klingenberg:
Multilevel Monte Carlo Finite Volume Methods for Random Conservation Laws with Discontinuous Flux. - Benjamin Sliwa, Manuel Patchou, Christian Wietfeld:
Lightweight Simulation of Hybrid Aerial- and Ground-based Vehicular Communication Networks. - Miguel Domingo, Mercedes García-Martínez, Álvaro Peris, Alexandre Helle, Amando Estela, Laurent Bié, Francisco Casacuberta, Manuel Herranz:
Incremental Adaptation of NMT for Professional Post-editors: A User Study. - Miguel Domingo, Mercedes García-Martínez, Amando Estela, Laurent Bié, Alexandre Helle, Álvaro Peris, Francisco Casacuberta, Manuel Herranz:
Demonstration of a Neural Machine Translation System with Online Learning for Translators. - Christoph D. Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer:
Connectivity-Optimized Representation Learning via Persistent Homology. - Brett D. Roads, Bradley C. Love:
Learning as the Unsupervised Alignment of Conceptual Systems. - Zinan Liu, Arne Hitzmann, Shuhei Ikemoto, Svenja Stark, Jan Peters, Koh Hosoda:
Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm. - Akash Anand, Jeffrey S. Ovall, Samuel E. Reynolds, Steffen Weißer:
Trefftz Finite Elements on Curvilinear Polygons. - Jonas Prellberg, Oliver Kramer:
Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks. - Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Backpropagation-Friendly Eigendecomposition. - Augusto Santos, Vincenzo Matta, Ali H. Sayed:
Topology Inference over Networks with Nonlinear Coupling. - Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Coupled Graph Neural Networks for Predicting the Popularity of Online Content. - Xin Huang, Duan Li, Daniel Zhuoyu Long:
Revised Progressive-Hedging-Algorithm Based Two-layer Solution Scheme for Bayesian Reinforcement Learning. - Xintao Huan, Kyeong Soo Kim, Sanghyuk Lee, Eng Gee Lim, Alan Marshall:
A Beaconless Asymmetric Energy-Efficient Time Synchronization Scheme for Resource-Constrained Multi-Hop Wireless Sensor Networks. - Xintao Huan, Kyeong Soo Kim:
Optimal Message Bundling with Delay and Synchronization Constraints in Wireless Sensor Networks. - Hsien-Kuei Hwang, Carsten Witt:
Sharp Bounds on the Runtime of the (1+1) EA via Drift Analysis and Analytic Combinatorial Tools. - Kate Donahue, Jon M. Kleinberg:
Fairness and Utilization in Allocating Resources with Uncertain Demand. - Yuval Lewi, Haim Kaplan, Yishay Mansour:
Thompson Sampling for Adversarial Bit Prediction. - Jeffrey M. Ede, Richard Beanland:
Adaptive Learning Rate Clipping Stabilizes Learning. - Yigui Luo, Ruijia Yang, Wei Sha, Weiyi Ding, Youteng Sun, Yisi Wang:
Evolution Attack On Neural Networks. - Bernadette Charron-Bost, Shlomo Moran:
MinMax Algorithms for Stabilizing Consensus. - Michele Coscia, Luca Rossi:
The Impact of Projection and Backboning on Network Topologies. - Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer:
Joint Detection of Malicious Domains and Infected Clients. - Fatima Haouari, Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach. - Ziga Luksic, Jovan Tanevski, Saso Dzeroski, Ljupco Todorovski:
Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems. - David Nass, Boris Belousov, Jan Peters:
Entropic Risk Measure in Policy Search. - Shushman Choudhury, Mykel J. Kochenderfer:
Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths. - James Usevitch, Dimitra Panagou:
Resilient Leader-Follower Consensus to Arbitrary Reference Values in Time-Varying Graphs. - Bolei Di, Andrew G. Lamperski:
Newton's Method and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games. - Tiago Mendonça Lucena de Veras, Arthur F. Ramos, Ruy J. G. B. de Queiroz, Anjolina Grisi de Oliveira:
A Topological Application of Labelled Natural Deduction. - Tiago Mendonça Lucena de Veras, Arthur F. Ramos, Ruy J. G. B. de Queiroz, Anjolina Grisi de Oliveira:
An alternative approach to the calculation of fundamental groups based on labeled natural deduction. - Huiping Zhuang, Yi Wang, Qinglai Liu, Zhiping Lin:
Fully Decoupled Neural Network Learning Using Delayed Gradients. - Kunal Garg, Dimitra Panagou:
Finite-Time Stability of Hybrid Systems: A Multiple Generalized Lyapunov Functions Approach. - Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis:
Near-optimal Reinforcement Learning using Bayesian Quantiles. - Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim:
Differentially Private Summation with Multi-Message Shuffling. - Nishant Saurabh, Julian Remmers, Dragi Kimovski, Radu Prodan, Jorge G. Barbosa:
Semantics-aware Virtual Machine Image Management in IaaS Clouds. - Snorre H. Christiansen, Kaibo Hu:
Finite Element Systems for vector bundles : elasticity and curvature. - Ian Pratt-Hartmann, Lidia Tendera:
The Fluted Fragment with Transitivity. - Arushi Majha, Sayan Sarkar, Davide Zagami:
Categorizing Wireheading in Partially Embedded Agents. - Marta Kwiatkowska, Gethin Norman, David Parker:
Verification and Control of Turn-Based Probabilistic Real-Time Games. - Jacopo Corno, Niklas Georg, Shahnam Gorgi Zadeh, Johann Heller, Vladimir Gubarev, Toon Roggen, Ulrich Römer, Christian Schmidt, Sebastian Schöps, Alexey Sulimov, Ursula van Rienen:
Uncertainty Modeling and Analysis of the European XFEL Cavities Manufacturing Process. - Shlomo Dubnov:
Query-based Deep Improvisation. - Wei Zeng, Abdur Bin Shahid, Keyan Zolfaghari, Aditya Shetty, Niki Pissinou, S. Sitharama Iyengar:
n-VDD: Location Privacy Protection Based on Voronoi-Delaunay Duality. - Rob Stevenson, Raymond van Venetië:
Uniform preconditioners for problems of positive order. - Rainer Kelz, Sebastian Böck, Gerhard Widmer:
Deep Polyphonic ADSR Piano Note Transcription. - Xiaogang Liu:
Some results about permutation properties of a kind of binomials over finite fields. - Thomas Vogel, Stephan Druskat, Markus Scheidgen, Claudia Draxl, Lars Grunske:
Challenges for Verifying and Validating Scientific Software in Computational Materials Science. - Carl Einarson, Felix Reidl:
Domination above r-independence: does sparseness help? - Nikita Samarin, Donald Sannella:
A Key to Your Heart: Biometric Authentication Based on ECG Signals. - Nishant Saurabh, Dragi Kimovski, Simon Ostermann, Radu Prodan:
VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues. - Riccardo Remo Appino, Veit Hagenmeyer, Timm Faulwasser:
Towards Optimality Preserving Aggregation for Scheduling Distributed Energy Resources. - Naser Ahmadi, Joohyung Lee, Paolo Papotti, Mohammed Saeed:
Explainable Fact Checking with Probabilistic Answer Set Programming. - Fengda Zhu, Xiaojun Chang, Runhao Zeng, Mingkui Tan:
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction. - Manish Raghavan, Solon Barocas, Jon M. Kleinberg, Karen Levy:
Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices. - Joshua Hanson, Maxim Raginsky:
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets. - Radovan Cervený, Ondrej Suchý:
Faster FPT Algorithm for 5-Path Vertex Cover. - Chen Ma, Peng Kang, Xue Liu:
Hierarchical Gating Networks for Sequential Recommendation. - Emily Black, Samuel Yeom, Matt Fredrikson:
FlipTest: Fairness Auditing via Optimal Transport. - Janith C. Petangoda, Sergio Pascual-Diaz, Vincent Adam, Peter Vrancx, Jordi Grau-Moya:
Disentangled Skill Embeddings for Reinforcement Learning. - Giacomo Ortali, Ioannis G. Tollis:
Multidimensional Dominance Drawings. - Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros:
Efficient Logspace Classes for Enumeration, Counting, and Uniform Generation. - Ryan Rogers, Aaron Roth, Adam D. Smith, Nathan Srebro, Om Thakkar, Blake E. Woodworth:
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis. - Tao Luo, Zheng Ma, Zhi-Qin John Xu, Yaoyu Zhang:
Theory of the Frequency Principle for General Deep Neural Networks. - Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord:
Shaping Belief States with Generative Environment Models for RL. - Mohammadreza Kasaei, Nuno Lau, Artur Pereira:
A Robust Biped Locomotion Based on Linear-Quadratic-Gaussian Controller and Divergent Component of Motion. - Jindrich Helcl, Jindrich Libovický, Martin Popel:
CUNI System for the WMT19 Robustness Task. - Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti:
Learning from weakly dependent data under Dobrushin's condition. - Selim Ickin, Konstantinos Vandikas, Markus Fiedler:
Privacy Preserving QoE Modeling using Collaborative Learning. - Fatemeh Kazemi, Esmaeil Karimi, Anoosheh Heidarzadeh, Alex Sprintson:
Multi-Server Private Information Retrieval with Coded Side Information. - Mohammad Reza Sarshogh, Keegan E. Hines:
A Multitask Network for Localization and Recognition of Text in Images. - Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Huan Sun:
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data. - Yuezun Li, Xin Yang, Baoyuan Wu, Siwei Lyu:
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations. - Ke Hu, Antoine Bruguier, Tara N. Sainath, Rohit Prabhavalkar, Golan Pundak:
Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models. - Shubham Rathi:
Generating Counterfactual and Contrastive Explanations using SHAP. - Jared Strader, Jennifer Nguyen, Christopher A. Tatsch, Yixin Du, Kyle Lassak, Benjamin Buzzo, Ryan M. Watson, Henry Cerbone, Nicholas Ohi, Chizhao Yang, Yu Gu:
Flower Interaction Subsystem for a Precision Pollination Robot. - Mohammad Khatibi, Sara Ahmed:
Impact of Distributed Energy Resources on Frequency Regulation of the Bulk Power System. - Mruganka Kashyap, Laurent Lessard:
Explicit Agent-Level Optimal Cooperative Controllers for Dynamically Decoupled Systems with Output Feedback. - Oumer M. Teyeb, Ajmal Muhammad, Gunnar Mildh, Erik Dahlman, Filip Barac, Behrooz Makki:
Integrated Access Backhauled Networks. - Sobhan Soleymani, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Adversarial Examples to Fool Iris Recognition Systems. - Xiaoyu Yin, Dagmar Gromann, Sebastian Rudolph:
Neural Machine Translating from Natural Language to SPARQL. - Yang Cai, Mingfei Zhao:
Simple Mechanisms for Profit Maximization in Multi-item Auctions. - Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Àgata Lapedriza, Rosalind W. Picard:
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems. - Layla El Asri, Adam Trischler:
A Study of State Aliasing in Structured Prediction with RNNs. - Jiawei Chen, Janusz Konrad, Prakash Ishwar:
A Cyclically-Trained Adversarial Network for Invariant Representation Learning. - Christian Cachin, Björn Tackmann:
Asymmetric Distributed Trust. - Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly:
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction. - Mengge Xue, Weiming Cai, Jinsong Su, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang:
Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. - Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines. - Xu Lu, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics. - Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire:
Reinforcement Learning with Convex Constraints. - Ziwen Wang, Jie Wang, Haiqian Gu, Fei Su, Bojin Zhuang:
Automatic Conditional Generation of Personalized Social Media Short Texts. - Renard Korzeniowski, Rafal Rolczynski, Przemyslaw Sadownik, Tomasz Korbak, Marcin Mozejko:
Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish. - Chris J. Mitchell:
The Saeed-Liu-Tian-Gao-Li authenticated key agreement protocol is insecure. - Alexey Drutsa:
Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders. - Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger:
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder. - Vincent Lostanlen, Florian Hecker:
The Shape of RemiXXXes to Come: Audio Texture Synthesis with Time-frequency Scattering. - Brett Walenz, Stavros Sintos, Sudeepa Roy, Jun Yang:
Learning to Sample: Counting with Complex Queries. - Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu:
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. - Yunhui Long, Suxin Lin, Zhuolin Yang, Carl A. Gunter, Bo Li:
Scalable Differentially Private Generative Student Model via PATE. - Nikki Lijing Kuang, Clement H. C. Leung:
Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation. - Samaneh Berenjian, Saeed Hajizadeh, Reza Ebrahimi Atani:
An Incentive Security Model to Provide Fairness for Peer-to-Peer Networks. - Panagiotis A. Traganitis, Georgios B. Giannakis:
Unsupervised Ensemble Classification with Dependent Data. - Yu Zhang:
Diversifying Seeds and Audience in Social Influence Maximization. - Mohamed Hammad:
A Novel Deep Transfer Learning Method for Detection of Myocardial Infarction. - Anuththara Rupasinghe, Behtash Babadi:
Multitaper Analysis of Evolutionary Spectra from Multivariate Spiking Observations. - Eduardo Bonelli, Delia Kesner, Andrés Viso:
Strong Bisimulation for Control Operators. - Suwen Gu, Menghao Lin:
Wind Gust Detection using Physical Sensors in Quadcopters. - Tongwen Wu, Zizhen Zhang, Yanzhi Li, Jiahai Wang:
Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs. - Shuntaro Takahashi, Kumiko Tanaka-Ishii:
Evaluating Computational Language Models with Scaling Properties of Natural Language. - Omer Anjum, Wen-Mei Hwu, Jinjun Xiong:
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications. - Xiaohan Wang, Yu Wu, Linchao Zhu, Yi Yang:
Baidu-UTS Submission to the EPIC-Kitchens Action Recognition Challenge 2019. - Sohini Upadhyay, Mayank Agarwal, Djallel Bouneffouf, Yasaman Khazaeni:
A Bandit Approach to Posterior Dialog Orchestration Under a Budget. - Vasileios Porpodas:
ZOFI: Zero-Overhead Fault Injection Tool for Fast Transient Fault Coverage Analysis. - Anna E. Frid:
Prefix palindromic length of the Thue-Morse word. - Xinzhe Zuo, Mason A. Porter:
Models of Continuous-Time Networks with Tie Decay, Diffusion, and Convection. - Roland Vollgraf:
Learning Set-equivariant Functions with SWARM Mappings. - Weiran Shen, Zihe Wang, Song Zuo:
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions. - Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu:
RLTM: An Efficient Neural IR Framework for Long Documents. - Abhinav Singh, Carsten Wiuf, Abhishek Behera, Manoj Gopalkrishnan:
A reaction network scheme which implements inference and learning for Hidden Markov Models. - Katharina Schratz, Yan Wang, Xiaofei Zhao:
Low-regularity integrators for nonlinear Dirac equations. - Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen:
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers. - Behrooz Khadem, Reza Ahmadian:
Comparative study of Joint Image Encryption and Compression Schemes: A Review. - Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang:
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. - Tobias Christiani:
Algorithms for Similarity Search and Pseudorandomness. - Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad, Chao Ma, Xiaoping Ma, Bing Zeng:
Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes. - Bingqing Shen, Jingzhi Guo:
Efficient Peer-to-Peer Content Sharing for Learning in Virtual Worlds. - Amir M. Mir, Jalal A. Nasiri:
An enhanced KNN-based twin support vector machine with stable learning rules. - Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. - Hadrien Van Lierde, Tommy W. S. Chow:
Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization. - Yixing Zhu, Xueqing Wu, Jun Du:
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images. - Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch:
Deep learning approach to description and classification of fungi microscopic images. - Konstantine Arkoudas, Mohamed Yahya:
Semantically Driven Auto-completion. - Bo Chen, Yukun Guo, Yao Sun:
Numerical schemes to reconstruct three dimensional time-dependent point sources of acoustic waves. - Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Andrew Ilyas, Logan Engstrom, Aleksander Madry:
Computer Vision with a Single (Robust) Classifier. - Hye Min Kim, Hyun Min Song, Jae Woo Seo, Huy Kang Kim:
Andro-Simnet: Android Malware Family Classification Using Social Network Analysis. - Ashley Suh, Christopher Salgado, Mustafa Hajij, Paul Rosen:
TopoLines: Topological Smoothing for Line Charts. - Claudio Gentile, Fabio Vitale, Anand Rajagopalan:
Flattening a Hierarchical Clustering through Active Learning. - Yang Li, Yaqiang Yao:
Bayesian Optimization with Directionally Constrained Search. - Yazhan Zhang, Zicheng Kan, Yang Yang, Yu Alexander Tse, Michael Yu Wang:
Effective Estimation of Contact Force and Torque for Vision-based Tactile Sensor with Helmholtz-Hodge Decomposition. - Zhuang Zhao, Yibing Chen, Jianxian Qiu:
A hybrid Hermite WENO scheme for hyperbolic conservation laws. - Emanuel Mellblom, Isar Arason, Lucas Gren, Richard Torkar:
The Connection Between Burnout and Personality Types in Software Developers. - Dmitry Namiot, Manfred Sneps-Sneppe:
On proximity versus geo-information systems. - Jaka Stavanja, Matej Klemen:
Predicting kills in Game of Thrones using network properties. - Radim Spetlík, Ivan Razumenic:
Iris Verification with Convolutional Neural Network. - Dmitry Yarotsky, Anton Zhevnerchuk:
The phase diagram of approximation rates for deep neural networks. - Bram de Witte, Paolo Frasca, Bastiaan Overvest, Judith Timmer:
Protecting shared information in networks: a network security game with strategic attacks. - Nick Ryder, Zohar S. Karnin, Edo Liberty:
Asymmetric Random Projections. - Zhilin Chen, Foad Sohrabi, Wei Yu:
Multi-Cell Sparse Activity Detection for Massive Random Access: Massive MIMO versus Cooperative MIMO. - Bert Lindenhovius, Michael W. Mislove, Vladimir Zamdzhiev:
Mixed Linear and Non-linear Recursive Types. - Michel Barbeau, Joaquín García-Alfaro, Evangelos Kranakis, Fillipe Santos:
Quality Amplification of Error Prone Navigation for Swarms of Micro Aerial Vehicles (with Detailed Simulations). - Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, Jian Tang:
Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning. - Kenan Cole, Adam M. Wickenheiser:
Trajectory Generation for UAVs in Unknown Environments with Extreme Wind Disturbances. - Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng:
Learning Belief Representations for Imitation Learning in POMDPs. - Jin-Yuan Wang, Hong Ge, Min Lin, Jun-Bo Wang, Jianxin Dai, Mohamed-Slim Alouini:
On the Secrecy Rate of Spatial Modulation Based Indoor Visible Light Communications. - Kelly Lais Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz S. Oliveira:
Image Retrieval and Pattern Spotting using Siamese Neural Network. - Yi-Fei Pu, Jian Wang:
Fractional-order Backpropagation Neural Networks: Modified Fractional-order Steepest Descent Method for Family of Backpropagation Neural Networks. - (Withdrawn) Defending Against Adversarial Examples with K-Nearest Neighbor.
- Mohit Goyal, Rajan Goyal, Brejesh Lall:
Learning Activation Functions: A new paradigm of understanding Neural Networks. - Mingda Chen, Kevin Gimpel:
Smaller Text Classifiers with Discriminative Cluster Embeddings. - Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel:
Variational Sequential Labelers for Semi-Supervised Learning. - Yang Li:
Inferring Latent dimension of Linear Dynamical System with Minimum Description Length. - Yuxi Fu:
A Uniform Approach to Random Process Model. - Shibsankar Das, Udaya Parampalli, Sudhan Majhi, Zilong Liu:
New Optimal Z-Complementary Code Sets from Matrices of Polynomials. - Jun Jiang, Shumao Pang, Xia Zhao, Liwei Wang, Andrew Wen, Hongfang Liu, Qianjin Feng:
Cross-lingual Data Transformation and Combination for Text Classification. - Soheil Mohseni, Alan C. Brent, Daniel Burmester:
A Reliability-Oriented Cost Optimisation Method for Capacity Planning of a Multi-Carrier Micro-Grid: A Case Study of Stewart Island, New Zealand. - Tiago V. Ortiz, Bruno Yuji Lino Kimura, Jó Ueyama, Valério Rosset:
Experimental Security Analysis of Controller Software in SDNs: A Review. - Phuong-Duy Nguyen, Vu Nguyen Ha, Long Bao Le:
Computation Offloading and Resource Allocation for Backhaul Limited Cooperative MEC Systems. - Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu:
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout. - Shaobo Cui, Rongzhong Lian, Di Jiang, Yuanfeng Song, Siqi Bao, Yong Jiang:
DAL: Dual Adversarial Learning for Dialogue Generation. - Yizhou Zhou, Xiaoyan Sun, Chong Luo, Zheng-Jun Zha, Wenjun Zeng:
One-Shot Neural Architecture Search Through A Posteriori Distribution Guided Sampling. - Tuan Phung-Duc:
Retrial Queueing Models: A Survey on Theory and Applications. - Shahab Heshmati-Alamdari, George C. Karras, Kostas J. Kyriakopoulos:
A Distributed Predictive Control Approach for Cooperative Manipulation of Multiple Underwater Vehicle Manipulator Systems. - Mohsen Ghodrat, Horacio J. Marquez:
On the Local Input-Output Stability of Event-Triggered Control Systems. - Nim Dvir, Ruti Gafni:
Systematic improvement of user engagement with academic titles using computational linguistics. - Ao Huang, Mengxing Huang, Zhentang Shao, Xu Zhang, Di Wu, Chunjie Cao:
A Practical Marine Wireless Sensor Network Monitoring System Based on LoRa and MQTT. - Yang Ai, Zhen-Hua Ling:
A Neural Vocoder with Hierarchical Generation of Amplitude and Phase Spectra for Statistical Parametric Speech Synthesis. - Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song:
Optimal Solution Predictions for Mixed Integer Programs. - Mateusz Nurek, Radoslaw Michalski:
Combining Machine Learning and Social Network Analysis to Reveal the Organizational Structures. - Tom Crick, James H. Davenport, Alastair Irons, Tom Prickett:
A UK Case Study on Cybersecurity Education and Accreditation. - Amit Kumar Jaiswal, Ivan Panshin, Dimitrij Shulkin, Nagender Aneja, Samuel Abramov:
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases. - Luigi Freda, Mario Gianni, Fiora Pirri, Abel Gawel, Renaud Dubé, Roland Siegwart, Cesar Cadena:
3D Multi-Robot Patrolling with a Two-Level Coordination Strategy. - Maria Bada, Jason R. C. Nurse:
Developing cybersecurity education and awareness programmes for Small and medium-sized enterprises (SMEs). - Morteza Monemizadeh:
Dynamic Maximal Independent Set. - Long Zhou, Jiajun Zhang, Chengqing Zong, Heng Yu:
Sequence Generation: From Both Sides to the Middle. - Ruo-Chun Tzeng, Shan-Hung Wu:
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures. - Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang:
Densely Connected Search Space for More Flexible Neural Architecture Search. - Kai Niu, Yan Huang, Wanli Ouyang, Liang Wang:
Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments. - Daniel Alabi:
The Cost of a Reductions Approach to Private Fair Optimization. - Candice Schumann, Zhi Lang, Jeffrey S. Foster, John P. Dickerson:
Making the Cut: A Bandit-based Approach to Tiered Interviewing. - Rohin Shah, Noah Gundotra, Pieter Abbeel, Anca D. Dragan:
On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference. - Andrew Cropper, Richard Evans, Mark Law:
Inductive general game playing. - Jakub Nalepa, Michal Myller, Michal Kawulok:
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images. - Silvia Bartolucci, Andrei Kirilenko:
A Model of the Optimal Selection of Crypto Assets. - Shawn Tan, Yikang Shen, Chin-Wei Huang, Aaron C. Courville:
Investigating Biases in Textual Entailment Datasets. - Peter G. Boyvalenkov, Konstantin Delchev, Dmitrii Zinoviev, Victor A. Zinoviev:
On q-ary codes with two distances d and d+1. - Vladimir Zamdzhiev:
Reflecting Algebraically Compact Functors. 15-23 - Andreea B. Alexandru, George J. Pappas:
Secure Multi-party Computation for Cloud-based Control. - Harald Øverby:
Traffic Load Uniformity in Optical Packet Switched Networks. - Chen Luo, Michael J. Carey:
On Performance Stability in LSM-based Storage Systems. - Waleed A. Mustafa, Waleed A. Yousef:
Nested Cavity Classifier: performance and remedy. - Nathann Cohen, Edith Elkind, Foram Lakhani:
Single-crossing Implementation. - Kaixiang Lin, Jiayu Zhou:
Ranking Policy Gradient. - Chris Hokamp, John Glover, Demian Gholipour Ghalandari:
Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models. - Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell:
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels. - Heping Jiang:
On non-Hamiltonian cycle sets of satisfying Grinberg's Equation. - Nan Wu, Farhad Farokhi, David B. Smith, Mohamed Ali Kâafar:
The Value of Collaboration in Convex Machine Learning with Differential Privacy. - Kazuhiro Kurita, Kunihiro Wasa, Hiroki Arimura, Takeaki Uno:
Constant Amortized Time Enumeration of Independent Sets for Graphs with Forbidden Subgraphs on Fixed Number of Vertices. - Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell:
Deep Instance-Level Hard Negative Mining Model for Histopathology Images. - Sandra Siby, Marc Juarez, Claudia Díaz, Narseo Vallina-Rodriguez, Carmela Troncoso:
Encrypted DNS -> Privacy? A Traffic Analysis Perspective. - Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez:
Quality of Uncertainty Quantification for Bayesian Neural Network Inference. - Linan Huang, Quanyan Zhu:
A Dynamic Games Approach to Proactive Defense Strategies against Advanced Persistent Threats in Cyber-Physical Systems. - Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi:
Transfer of Machine Learning Fairness across Domains. - (Withdrawn) A robot's sense-making of fallacies and rhetorical tropes. Creating ontologies of what humans try to say.
- Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar, Aaron C. Courville:
Adversarial Computation of Optimal Transport Maps. - Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen:
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation. - Haodong Bai, Frank Z. Xing, Erik Cambria, Win-Bin Huang:
Business Taxonomy Construction Using Concept-Level Hierarchical Clustering. - Matthias Noack:
Heterogeneous Active Messages (HAM) - Implementing Lightweight Remote Procedure Calls in C++. - Shu Liu, Ivan Tjuawinata, Chaoping Xing:
On List Decoding of Insertion and Deletion Errors. - Feng Dai, Hao Liu, Yike Ma, Juan Cao, Qiang Zhao, Yongdong Zhang:
Dense Scale Network for Crowd Counting. - Jeremy G. Siek:
Transitivity of Subtyping for Intersection Types. - Hongyao Ma, Reshef Meir, David C. Parkes, Elena Wu-Yan:
Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present Bias. - Aditya Vikram Singh, Kunal N. Chaudhury:
On Uniquely Registrable Networks. - Ayush Kumar, Teng Joon Lim:
EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques. - Yugo Murawaki:
On the Definition of Japanese Word. - Farhad Farokhi:
A Game-Theoretic Approach to Adversarial Linear Support Vector Classification. - Sibylle Hess, Katharina Morik, Nico Piatkowski:
The PRIMPing Routine - Tiling through Proximal Alternating Linearized Minimization. - Mahmoud Abo Khamis, Phokion G. Kolaitis, Hung Q. Ngo, Dan Suciu:
Bag Query Containment and Information Theory. - Amihood Amir, Itai Boneh:
Dynamic Palindrome Detection. - Matthew Aitchison:
Optimal Use of Experience in First Person Shooter Environments. - Victor Coscrato, Marco Henrique de Almeida Inácio, Rafael Izbicki:
The NN-Stacking: Feature weighted linear stacking through neural networks. - Xiaoying Dai, Xiong Kuang, Jack Xin, Aihui Zhou:
Two-Grid based Adaptive Proper Orthogonal Decomposition Algorithm for Time Dependent Partial Differential Equations. - Hideki Oki, Takio Kurita:
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network. - Robert Konrad, Anastasios Angelopoulos, Gordon Wetzstein:
Gaze-Contingent Ocular Parallax Rendering for Virtual Reality. - Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu:
Decomposable Neural Paraphrase Generation. - Ye Zhu, Kai Ming Ting:
Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel. - Shunan Mao, Shiliang Zhang, Ming Yang:
Resolution-invariant Person Re-Identification. - Zhaowei Cai, Nuno Vasconcelos:
Cascade R-CNN: High Quality Object Detection and Instance Segmentation. - Dudi Nassi, Raz Ben-Netanel, Yuval Elovici, Ben Nassi:
MobilBye: Attacking ADAS with Camera Spoofing. - Nimisha Ghosh, Rourab Paul, Satyabrata Maity, Krishanu Maity, Sayantan Saha:
Fault Matters: Sensor Data Fusion for Detection of Faults using Dempster-Shafer Theory of Evidence in IoT-Based Applications. - Tofara Moyo:
Inverse reinforcement learning conditioned on brain scan. - Endang Wahyu Pamungkas:
Emotionally-Aware Chatbots: A Survey. - Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Dawei Song, Ming Zhou:
A Tensorized Transformer for Language Modeling. - Niklas Carlsson, Derek L. Eager:
Had You Looked Where I'm Looking: Cross-user Similarities in Viewing Behavior for 360° Video and Caching Implications. - Hadi S. Jomaa, Josif Grabocka, Lars Schmidt-Thieme:
In Hindsight: A Smooth Reward for Steady Exploration. - Arnold Filtser:
On Strong Diameter Padded Decompositions. - Nino Vieillard, Olivier Pietquin, Matthieu Geist:
Deep Conservative Policy Iteration. - Wenchao Ding, Wenliang Gao, Kaixuan Wang, Shaojie Shen:
An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors. - Orly Stan, Ron Bitton, Michal Ezrets, Moran Dadon, Masaki Inokuchi, Yoshinobu Ohta, Yoshiyuki Yamada, Tomohiko Yagyu, Yuval Elovici, Asaf Shabtai:
Extending Attack Graphs to Represent Cyber-Attacks in Communication Protocols and Modern IT Networks. - I-Chao Shen, Ming-Shiuan Chen, Chun-Kai Huang, Bing-Yu Chen:
ZomeFab: Cost-effective Hybrid Fabrication with Zometools. - Wenchao Ding, Lu Zhang, Jing Chen, Shaojie Shen:
Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor. - Mehmet Aydar, Serkan Ayvaz:
Towards a Blockchain based digital identity verification, record attestation and record sharing system. - Gabriele Liga, Alireza Sheikh, Alex Alvarado:
A novel soft-aided bit-marking decoder for product codes. - Ishay Haviv:
Task-based Solutions to Embedded Index Coding. - Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh, Satoshi Nakamura:
Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding. - Julien Amacher, Valerio Schiavoni:
On The Performance of ARM TrustZone. - Julen Urain, Jan Peters:
Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories. - Hooman Misaghi, Reza Askari Moghadam, Ali Mahmoudi, Kurosh Madani:
Saliency Detection With Fully Convolutional Neural Network. - Cristian Bodnar, Ben Day, Pietro Liò:
Proximal Distilled Evolutionary Reinforcement Learning. - Vishnu Raj, Sheetal Kalyani:
Blind decoding in α-Stable noise: An online learning approach. - (Withdrawn) On Low Density Majority Codes.
- Hossein Rajaby Faghihi, MohammadAmin Fazli, Jafar Habibi:
Hybrid-Learning approach toward situation recognition and handling. - Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Classification and Clustering of Arguments with Contextualized Word Embeddings. - Mark Levene, Trevor I. Fenner, Judit Bar-Ilan:
Characterisation of the χ-index and the rec-index. - Shreyas Seshadri, Okko Räsänen:
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech. - Yu Wang, Quan Zhou, Xiaofu Wu:
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation. - Spiros Antonatos, Stefano Braghin, Naoise Holohan, Pol Mac Aonghusa:
AnonTokens: tracing re-identification attacks through decoy records. - Alexis Jacq, Julien Pérolat, Matthieu Geist, Olivier Pietquin:
Foolproof Cooperative Learning. - Okko Räsänen, Khazar Khorrami:
A computational model of early language acquisition from audiovisual experiences of young infants. - Yvette Graham, Barry Haddow, Philipp Koehn:
Translationese in Machine Translation Evaluation. - Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Learning Grasp Affordance Reasoning through Semantic Relations. - Thomas Gerald, Aurélia Léon, Nicolas Baskiotis, Ludovic Denoyer:
Binary Stochastic Representations for Large Multi-class Classification. - Toby Long Hin Chong, I-Chao Shen, Issei Sato, Takeo Igarashi:
Interactive Subspace Exploration on Generative Image Modelling. - (Withdrawn) Adversarial Multimodal Network for Movie Question Answering.
- Marcel Menner, Lukas Neuner, Lars Lünenburger, Melanie N. Zeilinger:
Using Human Ratings for Feedback Control: A Supervised Learning Approach with Application to Rehabilitation Robotics. - Omar Khan, Imran Ahmed, Joshua Cottingham, Musa Rahhal, Theodoros N. Arvanitis, Mark Elliott:
Multisensory cues facilitate coordination of stepping movements with a virtual reality avatar. - Claes Strannegård, Herman Carlström, Niklas Engsner, Fredrik Mäkeläinen, Filip Slottner Seholm, Morteza Haghir Chehreghani:
Lifelong Learning Starting From Zero. - Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss:
Universal Bayes consistency in metric spaces. - Chuanchang Chen, Yubo Tao, Hai Lin:
Dynamic Network Embeddings for Network Evolution Analysis. - Till Massing, Natalie Reckmann, Alexander Blasberg, Benjamin Otto, Christoph Hanck, Michael Goedicke:
When is the best time to learn? - Evidence from an introductory statistics course. - Julian Nickerl:
The Minimum Tollbooth Problem in Atomic Network Congestion Games with Unsplittable Flows. - Sumant Sharma, Simone D'Amico:
Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks. - Rasoul Ramezanian:
Computer-Simulation Model Theory (P= NP is not provable). - William Long:
Escaping the State of Nature: A Hobbesian Approach to Cooperation in Multi-agent Reinforcement Learning. - Aleksander Franus:
A note on the implementation of the hyperelastic Kilian model in the Abaqus. - Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta:
Online Revenue Maximization for Server Pricing. - Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie:
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. - Yan Niu, Jihong Ouyang:
Cross-Channel Correlation Preserved Three-Stream Lightweight CNNs for Demosaicking. - Tamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh, Gábor Gosztolya, Tamás Grósz, László Tóth, Alexandra Markó:
Ultrasound-based Silent Speech Interface Built on a Continuous Vocoder. - Stephen J. Tarsa, Chit-Kwan Lin, Gokce Keskin, Gautham N. Chinya, Hong Wang:
Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks. - Miquel India, Pooyan Safari, Javier Hernando:
Self Multi-Head Attention for Speaker Recognition. - Sam Ganzfried, Max Chiswick:
Most Important Fundamental Rule of Poker Strategy. - Gilles Barthe, Renate Eilers, Pamina Georgiou, Bernhard Gleiss, Laura Kovács, Matteo Maffei:
Verifying Relational Properties using Trace Logic. - Engin Türetken, Jérôme Van Zaen, Ricard Delgado-Gonzalo:
Embedded Deep Learning for Sleep Staging. - Sibylle Hess, Katharina Morik:
C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. - Bo Zhang, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, Dong Chen:
Deep Exemplar-based Video Colorization. - Kemal Kurniawan:
KaWAT: A Word Analogy Task Dataset for Indonesian. - Furqan Jameel, Zheng Chang, Jun Huang, Tapani Ristaniemi:
Internet of Autonomous Vehicles: Architecture, Features, and Socio-Technological Challenges. - Charul, Pravesh Biyani:
To each route its own ETA: A generative modeling framework for ETA prediction. - Prathamesh Deshpande, Sunita Sarawagi:
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units. - Chrysanthi Tziortzioti, Irene Mavrommati, Georgios Mylonas, Andrea Vitaletti, Ioannis Chatzigiannakis:
Scenarios for Educational and Game Activities using Internet of Things Data. - Èric Pairet, Paola Ardón, Michael N. Mistry, Yvan R. Petillot:
Learning Generalisable Coupling Terms for Obstacle Avoidance via Low-dimensional Geometric Descriptors. - Thomas Mach, Raf Vandebril, David S. Watkins:
Pole-swapping algorithms for alternating and palindromic eigenvalue problems. - Somak Aditya, Yezhou Yang, Chitta Baral:
Integrating Knowledge and Reasoning in Image Understanding. - Lei Wang, Du Q. Huynh, Piotr Koniusz:
A Comparative Review of Recent Kinect-based Action Recognition Algorithms. - Yifei Yang, Beixiong Zheng, Shuowen Zhang, Rui Zhang:
Intelligent Reflecting Surface Meets OFDM: Protocol Design and Rate Maximization. - Muthucumaru Maheswaran, Robert Wenger, Richard Olaniyan, Salman Memon, Olamilekan Fadahunsi, Richboy Echomgbe:
A Language for Programming Edge Clouds for Next Generation IoT Applications. - Richard Olaniyan, Muthucumaru Maheswaran:
Multi-Point Synchronization for Fog-Controlled Internet of Things. - Sobhan Latifi, Mehdi Delkhosh:
SPSMAT: GNU Octave software package for spectral and pseudospectral methods. - (Withdrawn) A numerical study of the dispersion and dissipation properties of virtual element methods for the Helmholtz problem.
- Mohamed Baza, Noureddine Lasla, Mohamed Mahmoud, Mohamed M. Abdallah:
B-Ride: Ride Sharing with Privacy-preservation, Trust and Fair Payment atop Public Blockchain. - Qianqian Yang, Parisa Hassanzadeh, Deniz Gündüz, Elza Erkip:
Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels. - Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos:
Classical Music Prediction and Composition by means of Variational Autoencoders. - Anton A. Emelyanov, Ekaterina Artemova:
Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF. - Suraj Tripathi, Abhay Kumar, Chirag Singh:
Visual Context-aware Convolution Filters for Transformation-invariant Neural Network. - Robin Sandkühler, Simon Andermatt, Grzegorz Bauman, Sylvia Nyilas, Christoph Jud, Philippe C. Cattin:
Recurrent Registration Neural Networks for Deformable Image Registration. - Caio Corro, Ivan Titov:
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming. - Nguyen Ho, Huy T. Vo, Mai Vu, Torben Bach Pedersen:
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data. - Unai Lopez-Novoa, Cyril Charron, C. John Evans, Leandro Beltrachini:
The BIDS Toolbox: A web service to manage brain imaging datasets. - Shuo Liu, Gil Keren, Björn W. Schuller:
Single-Channel Speech Separation with Auxiliary Speaker Embeddings. - Lubomír Bañas, Michael Röckner, André Wilke:
Convergent numerical approximation of the stochastic total variation flow. - Daniel Loureiro, Alípio Mário Jorge:
LIAAD at SemDeep-5 Challenge: Word-in-Context (WiC). - Akash Hossain, François Laroussinie:
From Quantified CTL to QBF. - Daniel Loureiro, Alípio Mário Jorge:
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation. - Dekel Tsur:
A note on the Split to Block Vertex Deletion problem. - Wenqiang Cui, Girts Strazdins, Hao Wang:
Confluent-Drawing Parallel Coordinates: Web-Based Interactive Visual Analytics of Large Multi-Dimensional Data. - Waleed A. Yousef:
A Review of Statistical Learning Machines from ATR to DNA Microarrays: design, assessment, and advice for practitioners. - Sergey Ivanov, Alexander D'yakonov:
Modern Deep Reinforcement Learning Algorithms. - Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal:
Platform Independent Software Analysis for Near Memory Computing. - Nestor N. Deniz, Marina H. Murillo, Guido Sánchez, Lucas M. Genzelis, Leonardo L. Giovanini:
Multiple model approach for robust state estimation in presence of model uncertainty and bounded disturbances. - Joon Son Chung, Bong-Jin Lee, Icksang Han:
Who said that?: Audio-visual speaker diarisation of real-world meetings. - Nestor N. Deniz, Marina H. Murillo, Guido Sánchez, Lucas M. Genzelis, Leonardo L. Giovanini:
Simultaneous state estimation and control for nonlinear systems subject to bounded disturbances. - Amir M. Ben-Amram, Geoff W. Hamilton:
Tight Polynomial Worst-Case Bounds for Loop Programs. - Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu:
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning. - Panagiota Katsikouli, Pietro Ferraro, David Timoney, Robert Shorten:
On DICE-free Smart Cities, Particulate Matter, and Feedback-Enabled Access Control. - Yuchen Li, Frank Rudzicz, Jekaterina Novikova:
Variations on the Chebyshev-Lagrange Activation Function. - Maximilian Spliethöver, Jonas Klaff, Hendrik Heuer:
Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation. - Josephine Lamp, Simone Silvetti, Marc D. Breton, Laura Nenzi, Lu Feng:
A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors. - Ilias Diakonikolas, Themis Gouleakis, Christos Tzamos:
Distribution-Independent PAC Learning of Halfspaces with Massart Noise. - Elisabet Burjons, Fabian Frei, Edith Hemaspaandra, Dennis Komm, David Wehner:
Finding Optimal Solutions With Neighborly Help. - Jie Ren, Kai Wu, Dong Li:
EasyCrash: Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. - Stefan Kiefer, Cas Widdershoven:
Efficient Analysis of Unambiguous Automata Using Matrix Semigroup Techniques. - Cun Mu, Binwei Yang, Zheng Yan:
An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space. - Xiaoting Wu, Eric Granger, Xiaoyi Feng:
Audio-Visual Kinship Verification. - Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL. - Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin:
LMVP: Video Predictor with Leaked Motion Information. - Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs:
Remote Estimation of Free-Flow Speeds. - Mohammad Vahid Jamali, Mahdi Soleymani, Hessam Mahdavifar:
Coded Distributed Computing: Performance Limits and Code Designs. - Vaishak Belle, Brendan Juba:
Implicitly Learning to Reason in First-Order Logic. - Daniele Cattaneo, Matteo Vaghi, Augusto Luis Ballardini, Simone Fontana, Domenico Giorgio Sorrenti, Wolfram Burgard:
CMRNet: Camera to LiDAR-Map Registration. - Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola:
Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola: GANalyze: Toward Visual Definitions of Cognitive Image Properties. - Justin Domke, Daniel Sheldon:
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation. - Brendan Juba:
Query-driven PAC-Learning for Reasoning. - Carlos Alexandre X. Silva, Les R. Foulds, Humberto J. Longo:
Assembly line balancing with task division. - Yunqi Zhao, Igor Borovikov, Jason Rupert, Caedmon Somers, Ahmad Beirami:
On Multi-Agent Learning in Team Sports Games. - Mark Woodward, Chelsea Finn, Karol Hausman:
Training an Interactive Helper. - Mohsen Aghabozorgi Nafchi, Maryam Aghabozorgi Nafchi:
Challenges and Opportunities of Big Data in Healthcare Mobile Applications. - Rémi Cadène, Corentin Dancette, Hédi Ben-Younes, Matthieu Cord, Devi Parikh:
RUBi: Reducing Unimodal Biases in Visual Question Answering. - Meenakshi Sarkar, Prabhu Pradhan, Debasish Ghose:
Planning Robot Motion using Deep Visual Prediction. - Mark Woodward, Chelsea Finn, Karol Hausman:
Learning to Interactively Learn and Assist. - Pegah Karimi, Mary Lou Maher, Nicholas Davis, Kazjon Grace:
Deep Learning in a Computational Model for Conceptual Shifts in a Co-Creative Design System. - Joel Lehman:
Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution. - Kanishk Gandhi, Brenden M. Lake:
Mutual exclusivity as a challenge for neural networks. - Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang:
Multimodal and Multi-view Models for Emotion Recognition. - Charles C. Onu, Jonathan Lebensold, William L. Hamilton, Doina Precup:
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia. - Zadid Khan, Mashrur Chowdhury, Mhafuzul Islam, Chin-Ya Huang, Mizanur Rahman:
In-Vehicle False Information Attack Detection and Mitigation Framework using Machine Learning and Software Defined Networking. - Yurii Kostyukov, Konstantin Batoev, Dmitry Mordvinov, Michael Kostitsyn, Aleksandr Misonizhnik:
Automatic verification of heap-manipulating programs. - Qi Zhang, Carla Seatzu, Zhiwu Li, Alessandro Giua:
Cyber attacks with bounded sensor reading edits for partially-observed discrete event systems. - Elma Dedic, Yogesh M. Chukewad, Ravi Sankar Vaddi, Igor Novosselov, Sawyer B. Fuller:
A laser-microfabricated electrohydrodynamic thruster for centimeter-scale aerial robots. - Ke Chen, Adrian Dumitrescu, Wolfgang Mulzer, Csaba D. Tóth:
On the Stretch Factor of Polygonal Chains. - Yoon Kim, Chris Dyer, Alexander M. Rush:
Compound Probabilistic Context-Free Grammars for Grammar Induction. - Jad Rahme, Ryan P. Adams:
A Theoretical Connection Between Statistical Physics and Reinforcement Learning. - Ron Bitton, Kobi Boymgold, Rami Puzis, Asaf Shabtai:
Evaluating the Information Security Awareness of Smartphone Users. - Benjamin Aymard, Fabien Campillo, Romain Veltz:
Mean-field limit of interacting 2D nonlinear stochastic spiking neurons. - Bin Zhao:
Mapping System Level Behaviors with Android APIs via System Call Dependence Graphs. - Jan S. Rellermeyer, Maher Amer, Richard Smutzer, Karthick Rajamani:
Container Density Improvements with Dynamic Memory Extension using NAND Flash. - Timothy John Sullivan:
Comments on the article "A Bayesian conjugate gradient method". - Luyun Gan, Brosnan Yuen, Tao Lu:
Multi-label Classification with Optimal Thresholding for Multi-composition Spectroscopic Analysis. - Ramya Srinivasan, Ajay Chander, Pouya Pezeshkpour:
Generating User-friendly Explanations for Loan Denials using GANs. - Oussama Abderrahmane Dambri, Soumaya Cherkaoui:
Performance Enhancement of Diffusion-based Molecular Communication with Photolysis. - Aurélie Beynier, Nicolas Maudet, Simon Rey, Parham Shams:
House Markets and Single-Peaked Preferences: From Centralized to Decentralized Allocation Procedures. - Jayadev Bhaskaran, Isha Bhallamudi:
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis. - Temitope Ajileye, Boris Motik, Ian Horrocks:
Datalog Materialisation in Distributed RDF Stores with Dynamic Data Exchange. - Muhammad Rehman Zafar, Naimul Mefraz Khan:
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems. - Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn:
Sequential Neural Processes. - Nashid Shahriar, Sepehr Taeb, Shihabur Rahman Chowdhury, Mubeen Zulfiqar, Massimo Tornatore, Raouf Boutaba, Jeebak Mitra, Mahdi Hemmati:
Reliable Slicing of 5G Transport Networks with Dedicated Protection. - Klaus Schneider, Beichuan Zhang, Lotfi Benmohamed:
Hop-by-Hop Multipath Routing: Choosing the Right Nexthop Set. - Yunsheng Li, Nuno Vasconcelos:
Efficient Multi-Domain Network Learning by Covariance Normalization. - Yuto Shinahara, Takuro Karamatsu, Daisuke Harada, Kota Yamaguchi, Seiichi Uchida:
Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements. - Ghada Almashaqbeh, Kevin Kelley, Allison Bishop, Justin Cappos:
CAPnet: A Defense Against Cache Accounting Attacks on Content Distribution Networks. - Abusayeed Saifullah:
2-Edge-Connectivity and 2-Vertex-Connectivity of an Asynchronous Distributed Network. - Shuoyang Ding, Hainan Xu, Philipp Koehn:
Saliency-driven Word Alignment Interpretation for Neural Machine Translation. - Ryo Kawahara, Shohei Nobuhara, Ko Nishino:
Shape from Water Reflection. - Lu Wei:
A note on Bianchi-Donà's proof to the variance formula of von Neumann entropy. - Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy. - Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao:
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. - Tingting Chen, Xiande Zhang:
Repairing Generalized Reed-Muller Codes. - Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha:
DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features. - Devashish Khulbe, Soumya Sourav:
Modeling Severe Traffic Accidents With Spatial And Temporal Features. - Anna Fariha, Alexandra Meliou:
Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity. - Mohammad Amin Mehralian, Mohsen Soryani:
EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of Images. - Xiaofan Zhang, Cong Hao, Haoming Lu, Jiachen Li, Yuhong Li, Yuchen Fan, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen:
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection. - Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb:
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification. - Yannai A. Gonczarowski, Scott Duke Kominers, Ran I. Shorrer:
A Compact, Logical Approach to Large-Market Analysis. - Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull:
Perceptual Generative Autoencoders. - Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He:
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning. - Rasmus Kyng, Richard Peng, Sushant Sachdeva, Di Wang:
Flows in Almost Linear Time via Adaptive Preconditioning. - Phi Vu Tran:
Semi-Supervised Learning with Self-Supervised Networks. - Bodun Hu, Christopher J. Rossbach:
Mirovia: A Benchmarking Suite for Modern Heterogeneous Computing. - Eugene Goldberg:
Partial Quantifier Elimination With Learning. - Lijin Quan, Lei Wu, Haoyu Wang:
EVulHunter: Detecting Fake Transfer Vulnerabilities for EOSIO's Smart Contracts at Webassembly-level. - Anoop Kadan, Deepak P, Lajish V. L:
Emotion Cognizance Improves Fake News Identification. - Peter Kriens, Tim Verbelen:
Software Engineering Practices for Machine Learning. - Roland Schmid, Roger Wattenhofer:
A Permit-Based Optimistic Byzantine Ledger. - Rafael Molina-Masegosa, Miguel Sepulcre, Javier Gozálvez:
Geo-Based Scheduling for C-V2X Networks. - Ashley Montanaro:
Quantum speedup of branch-and-bound algorithms. - Funda Ustek-Spilda, Alison Powell, Irina Shklovski, Sebastian Lehuede:
Peril v. Promise: IoT and the Ethical Imaginaries. - Saurabh Pandey, Harish Sharma:
Blocking Mechanism of Porn Website in India: Claim and Truth. - Ioannis Krikidis, Constantinos Psomas:
Tone-index Multisine Modulation for SWIPT. - Teodora Baluta, Shiqi Shen, Shweta Shinde, Kuldeep S. Meel, Prateek Saxena:
Quantitative Verification of Neural Networks And its Security Applications. - Aleksander Slominski, Vinod Muthusamy, Vatche Ishakian:
Future of Computing is Boring (and that is exciting!) or How to get to Computing Nirvana in 20 years or less. - Li Zhang, Quanhong Wang, Haihua Lu, Yong Zhao:
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching. - Paul Maergner, Nicholas R. Howe, Kaspar Riesen, Rolf Ingold, Andreas Fischer:
Graph-Based Offline Signature Verification. - Duggirala Meher Krishna, Duggirala Ravi:
Dynamic Programming Method for Best Piecewise Linear Approximation for Vector Field of Nonlinear Boundary Value Problems on the Interval [0, 1]. - Boyi Liu, Xiangyan Tang, Jieren Cheng, Pengchao Shi:
Traffic Flow Combination Forecasting Method Based on Improved LSTM and ARIMA. - Massimiliano Gargiulo, Domenico Antonio Giuseppe Dell'Aglio, Antonio Iodice, Daniele Riccio, Giuseppe Ruello:
A CNN-Based Super-Resolution Technique for Active Fire Detection on Sentinel-2 Data. - Linyu Zheng, Ming Tang, Jinqiao Wang, Hanqing Lu:
Learning Features with Differentiable Closed-Form Solver for Tracking. - Aleksander Slominski, Vinod Muthusamy:
BPM for the masses: empowering participants of Cognitive Business Processes. - Ralph Ankele, Stefan Marksteiner, Kai Nahrgang, Heribert Vallant:
Requirements and Recommendations for IoT/IIoT Models to automate Security Assurance through Threat Modelling, Security Analysis and Penetration Testing. - Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger:
Probabilistic model predictive safety certification for learning-based control. - Aleksander Slominski, Vinod Muthusamy, Vatche Ishakian:
Towards Enterprise-Ready AI Deployments Minimizing the Risk of Consuming AI Models in Business Applications. - Cheng-Shang Chang, Duan-Shin Lee, Yu-Lun Lin, Jen-Hung Wang:
ETTR Bounds and Approximation Solutions of Blind Rendezvous Policies in Cognitive Radio Networks with Random Channel States. - Kyatsandra G. Nagananda:
On the Relationship Between Measures of Relative Efficiency for Random Signal Detection. - Kat Agres, Simon Lui, Dorien Herremans:
A novel music-based game with motion capture to support cognitive and motor function in the elderly. - Ran Zi, Jia Liu, Liang Gu, Xiaohu Ge:
Enabling security and High Energy Efficiency in the Internet of Things with Massive MIMO Hybrid Precoding. - Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello:
Learning Causal State Representations of Partially Observable Environments. - Anat Goldstein, Lior Fink, Gilad Ravid:
A Framework for Evaluating Agricultural Ontologies. - Long Yang, Yu Zhang:
Policy Optimization with Stochastic Mirror Descent. - Ilse C. F. Ipsen, Hua Zhou:
Probabilistic Error Analysis for Inner Products. - Adam Lev-Libfeld, Alexander Margolin:
Fast Data: Moving beyond from Big Data's map-reduce. - Jielong Yang, Wee Peng Tay:
An Unsupervised Bayesian Neural Network for Truth Discovery. - Amit Klein, Benny Pinkas:
From IP ID to Device ID and KASLR Bypass (Extended Version). - Armin Mehrabian, Mario Miscuglio, Yousra Al-Kabani, Volker J. Sorger, Tarek A. El-Ghazawi:
A Winograd-based Integrated Photonics Accelerator for Convolutional Neural Networks. - Thomas Beckers, Sandra Hirche:
Keep soft robots soft - a data-driven based trade-off between feed-forward and feedback control. - Martim Brandao:
Age and gender bias in pedestrian detection algorithms. - Nikolay Savinov, Lubor Ladicky, Christian Häne, Marc Pollefeys:
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction. - Wojciech Czerwinski, Slawomir Lasota, Christof Löding, Radoslaw Piórkowski:
New Pumping Technique for 2-dimensional VASS. - Joshua Alan Cook:
Approximating Unitary Preparations of Orthogonal Black Box States. - Jan S. Rellermeyer, Sobhan Omranian Khorasani, Dan Graur, Apourva Parthasarathy:
The Coming Age of Pervasive Data Processing. - Nashez Zubair, Niranjan A, Kiran Hebbar, Yogesh Simmhan:
Characterizing IoT Data and its Quality for Use. - Hossein Hajipour, Apratim Bhattacharyya, Mario Fritz:
SampleFix: Learning to Correct Programs by Sampling Diverse Fixes. - Pablo Antolin, Annalisa Buffa, Luca Coradello:
A hierarchical approach to the a posteriori error estimation of isogeometric Kirchhoff plates and Kirchhoff-Love shells. - Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kyungnam Kim:
Zero-Shot Image Classification Using Coupled Dictionary Embedding. - Laura Martinus, Jade Z. Abbott:
Benchmarking Neural Machine Translation for Southern African Languages. - Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi:
The Role of Compute in Autonomous Aerial Vehicles. - Luis Roldão, Raoul de Charette, Anne Verroust-Blondet:
3D Surface Reconstruction from Voxel-based Lidar Data. - Jeremy Barnes, Roman Klinger:
Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study. - Dekel Tsur:
l-path vertex cover is easier than l-hitting set for small l. - Shixian Wen, Laurent Itti:
Beneficial perturbation network for continual learning. - David Durfee, Yu Gao, Gramoz Goranci, Richard Peng:
Fully Dynamic Spectral Vertex Sparsifiers and Applications. - Stepan Holub:
Pseudo-solutions of word equations. - James D. Miller, Roman Yampolskiy:
An AGI with Time-Inconsistent Preferences. - Zhentang Shao, Mengxing Huang, Di Wu, Xu Zhang, Ao Huang:
Design of a Simplified Wireless Sensor Network Node based on MQTT Protocol. - Xiao Dong, Ling Zhou:
Gauge theory and twins paradox of disentangled representations. - Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song:
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. - Federico Simonetta, Carlos Eduardo Cancino Chacón, Stavros Ntalampiras, Gerhard Widmer:
A Convolutional Approach to Melody Line Identification in Symbolic Scores. - Emmanouil Fountoulakis, Qi Liao, Nikolaos Pappas:
An End-to-End Performance Analysis for Service Chaining in a Virtualized Network. - Oren Halvani, Christian Winter, Lukas Graner:
Assessing the Applicability of Authorship Verification Methods. - Joon Son Chung:
Naver at ActivityNet Challenge 2019 - Task B Active Speaker Detection (AVA). - Ingo Keller, Muneeb Imtiaz Ahmad, Katrin S. Lohan:
Multi-Modal Measurements of Mental Load. - A. J. Ferrari, L. P. Lara, E. A. Santillan Marcus:
Convergence analysis and parity conservation of a new form of a quadratic explicit spline. - Ben Abramowitz, Elliot Anshelevich, Wennan Zhu:
Awareness of Voter Passion Greatly Improves the Distortion of Metric Social Choice. - Yunhan Huang, Quanyan Zhu:
Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals. - Wayne B. Mitchell, Robert Strzodka, Robert D. Falgout, Stephen F. McCormick:
Parallel Performance of Algebraic Multigrid Domain Decomposition (AMG-DD). - Michael Deistler, Yagmur Yener, Florian Bergner, Pablo Lanillos, Gordon Cheng:
Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine. - Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng:
Pyramid: A General Framework for Distributed Similarity Search. - Rakesh M. Verma, Samaneh Karimi, Daniel Lee, Omprakash Gnawali, Azadeh Shakery:
Newswire versus Social Media for Disaster Response and Recovery. - Wayne Mitchell, Tom Manteuffel:
Advances in Implementation, Theoretical Motivation, and Numerical Results for the Nested Iteration with Range Decomposition Algorithm. - Ronen Eldan, Assaf Naor:
Krivine diffusions attain the Goemans-Williamson approximation ratio. - Maria Bras-Amorós, Iwan M. Duursma, Euijin Hong:
Isometry-Dual Flags of AG Codes. - Juan D. S. Ortega, Patrick Cardinal, Alessandro L. Koerich:
Emotion Recognition Using Fusion of Audio and Video Features. - Ivica Stipovic:
Antiforensic techniques deployed by custom developed malware in evading anti-virus detection. - Pranav Ashok, Jan Kretínský, Kim Guldstrand Larsen, Adrien Le Coënt, Jakob Haahr Taankvist, Maximilian Weininger:
SOS: Safe, Optimal and Small Strategies for Hybrid Markov Decision Processes. - Anis Koubaa, Azza Allouch, Maram Alajlan, Yasir Javed, Abdelfettah Belghith, Mohamed Khalgui:
Micro Air Vehicle Link (MAVLink) in a Nutshell: A Survey. - Filip Pröstl Andrén, Thomas I. Strasser, Julien Le Baut, Marco Rossi, Giacomo Vigano, Giacomo Della Croce, Seppo Horsmanheimo, Armin Ghasem Azar, Adrian Ibañez:
Validating Coordination Schemes between Transmission and Distribution System Operators using a Laboratory-Based Approach. - Ehsan Adeli, Hermann G. Matthies:
Parameter Identification in Viscoplasticity using Transitional Markov Chain Monte Carlo Method. - Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin:
Interpretable Image Recognition with Hierarchical Prototypes. - Chao Huang, Jiameng Fan, Wenchao Li, Xin Chen, Qi Zhu:
ReachNN: Reachability Analysis of Neural-Network Controlled Systems. - (Withdrawn) A Receding Horizon Framework for Autonomy in Unmanned Vehicles.
- Mehmet Fatih Aktas, Emina Soljanin:
Straggler Mitigation at Scale. - Huimei Cheng, Yichen Gu, Peter A. Beerel:
Automatic Conversion from Flip-flop to 3-phase Latch-based Designs. - Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio:
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. - Erva Ulu, James McCann, Levent Burak Kara:
Structural Design Using Laplacian Shells. - Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee:
Learning Explainable Models Using Attribution Priors. - Jonathan Moore, Nils Hammerla, Chris Watkins:
Explaining Deep Learning Models with Constrained Adversarial Examples. - David W. Arathorn:
Technical Report: Fast Robot Arm Inverse Kinematics and Path Planning Under Complex Obstacle Constraint. - Karsten Paul, Christopher Zimmermann, Kranthi K. Mandadapu, Thomas J. R. Hughes, Chad M. Landis, Roger Andrew Sauer:
An adaptive space-time phase field formulation for dynamic fracture of brittle shells based on LR NURBS. - Wei-Ting Chang, Ravi Tandon:
On the Upload versus Download Cost for Secure and Private Matrix Multiplication. - Mike Raeini:
Wise Data: A Novel Approach in Data Science from a Network Science Perspective. - Jamal Toutouh, Diego Rossit, Sergio Nesmachnow:
Soft computing methods for multiobjective location of garbage accumulation points in smart cities. - Antti Knutas, Jouni Ikonen, Jari Porras:
Computer-Supported Collaborative Learning in Software Engineering Education: A Systematic Mapping Study. - Andrea La Spina, Matteo Giacomini, Antonio Huerta:
Hybrid coupling of CG and HDG discretizations based on Nitsche's method. - Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha:
RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments. - Tung-Long Vuong, Kenneth Tran:
Uncertainty-aware Model-based Policy Optimization. - Jia Qian, Sayantan Sengupta, Lars Kai Hansen:
Active Learning Solution on Distributed Edge Computing. - Thomas Powell:
A unifying framework for continuity and complexity in higher types. - Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo:
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics. - Rahul Aralikatte, Anders Søgaard:
Model-based annotation of coreference. - Utku Evci, Fabian Pedregosa, Aidan N. Gomez, Erich Elsen:
The Difficulty of Training Sparse Neural Networks. - Claudia Flores-Saviaga, Saiph Savage:
Anti-Latinx Computational Propaganda in the United States. - Dimiter Dobrev:
Event-Driven Models. - Mostafa Faghih Shojaei, Arash Yavari:
Compatible-Strain Mixed Finite Element Methods for 3D Compressible and Incompressible Nonlinear Elasticity. - Jie M. Zhang, Mark Harman, Lei Ma, Yang Liu:
Machine Learning Testing: Survey, Landscapes and Horizons. - Jens Wittsten, Erik F. M. Koene, Fredrik Andersson, Johan O. A. Robertsson:
Removing numerical dispersion from linear evolution equations. - Fani Deligianni, Ines Domingos, Guang-Zhong Yang:
Intention Detection of Gait Adaptation in Natural Settings. - Mihai-Alin Badiu, Justin P. Coon:
Communication Through a Large Reflecting Surface With Phase Errors. - Peter Achten, Heather Miller:
Proceedings Seventh International Workshop on Trends in Functional Programming in Education, TFPIE@TFP 2018, Chalmers University, Gothenburg, Sweden, 14th June 2018. EPTCS 295, 2019 [contents] - Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa:
Distributed Optimization for Smart Cyber-Physical Networks. - Tobias Dam, Lukas Daniel Klausner, Damjan Buhov, Sebastian Schrittwieser:
Large-Scale Analysis of Pop-Up Scam on Typosquatting URLs. - Richard Li, Kiran Makhijani, Hamed Yousefi, Cédric Westphal, Lijun Dong, Tim Wauters, Filip De Turck:
A Framework for Qualitative Communications Using Big Packet Protocol. - Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, Qi Tian:
Deep Modular Co-Attention Networks for Visual Question Answering. - Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz:
Importance Estimation for Neural Network Pruning. - Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection. - Laurent Chuat, AbdelRahman Abdou, Ralf Sasse, Christoph Sprenger, David A. Basin, Adrian Perrig:
Proxy Certificates: The Missing Link in the Web's Chain of Trust. - Silvère Gangloff, Alexandre Talon:
Asymptotic growth rate of square grids dominating sets: a symbolic dynamics approach. - Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner:
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. - José Luis Blanco-Claraco:
OLAE-ICP: Robust and fast alignment of geometric features with the optimal linear attitude estimator. - Hayder O. Alwan, Hamidreza Sadeghian, Sherif Abdelwahed:
Optimized energy utilization in small and large commercial loads and residential areas. - Xiaoqian Wei, Jianying Yang, Xiangru Fan:
Design of distributed guidance laws for multi-UAV cooperative attacking a moving target based on reducing surrounding area. - Yehia Abd Alrahman, Giuseppe Perelli, Nir Piterman:
A Computational Framework for Adaptive Systems and its Verification. - Evangelia Gergatsouli, Brendan Lucier, Christos Tzamos:
The Complexity of Black-Box Mechanism Design with Priors. - Peter Cudmore, Peter J. Gawthrop, Michael Pan, Edmund J. Crampin:
Computer-aided modelling of complex physical systems with BondGraphTools. - Mingyu Xiao:
Upper and Lower Bounds on Approximating Weighted Mixed Domination. - Vitaly Zaderman, Liang Zhao:
Counting Roots of a Polynomial in a Convex Compact Region by Means of Winding Number Calculation via Sampling. - Suihua Cai, Shancheng Zhao, Xiao Ma:
Free Ride on LDPC Coded Transmission. - Vincenzo Pandolfo:
Investigating the OPS intermediate representation to target GPUs in the Devito DSL. - Guohui Zhao:
Polyhedral Spline Finite Elements. - Dongqi Wu, Xiangtian Zheng, Dileep M. Kalathil, Le Xie:
Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems. - Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Oleksandr Polozov:
Program Synthesis and Semantic Parsing with Learned Code Idioms. - Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded State Machine - Scaling State Machine Execution under Byzantine Faults. - Kosuke Haruki, Taiji Suzuki, Yohei Hamakawa, Takeshi Toda, Ryuji Sakai, Masahiro Ozawa, Mitsuhiro Kimura:
Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD. - Qing Fang:
Topology Maintained Structure Encoding. - Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon:
Hierarchical Optimal Transport for Document Representation. - Zhenchuan Yang, Chun Zhang, Weibin Zhang, Jianxiu Jin, Dongpeng Chen:
Essence Knowledge Distillation for Speech Recognition. - Rafael Pass, Muthuramakrishnan Venkitasubramaniam:
A Round-Collapse Theorem for Computationally-Sound Protocols; or, TFNP is Hard (on Average) in Pessiland. - Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann:
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. - Heping Jiang:
On a K_2, 3 in non-Hamiltonian graphs. - Lijun Zhang, Guanghui Wang, Weiwei Tu, Zhi-Hua Zhou:
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions. - Sadaqat ur Rehman, Zhongliang Yang, Muhammad Shahid, Nan Wei, Yongfeng Huang, Muhammad Waqas, Shan-Shan Tu, Obaid Ur Rehman:
Water Preservation in Soan River Basin using Deep Learning Techniques. - Emil Björnson, Luca Sanguinetti:
A New Look at Cell-Free Massive MIMO: Making It Practical With Dynamic Cooperation. - Moti Kadosh, Yael Moses, Ariel Shamir:
On the Role of Geometry in Geo-Localization. - Neri Merhav:
Guessing Individual Sequences: Generating Randomized Guesses Using Finite-State Machines. - Adam Lev-Libfeld:
Lawn: an Unbound Low Latency Timer Data Structure for Large Scale, High Throughput Systems. - Meisam Navaki Arefi, Rajkumar Pandi, Michael Carl Tschantz, Jedidiah R. Crandall, King-wa Fu, Dahlia Qiu Shi, Miao Sha:
Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics. - Giacomo Capodaglio, Max D. Gunzburger:
Piecewise polynomial approximation of probability density functions with application to uncertainty quantification for stochastic PDEs. - Amer Chamseddine, George Candea:
Making Smartphone Application Permissions Meaningful for the Average User. - Naoyuki Kanda, Shota Horiguchi, Ryoichi Takashima, Yusuke Fujita, Kenji Nagamatsu, Shinji Watanabe:
Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition. - Volodymyr Buriachok, Volodymyr Sokolov, Pavlo Skladannyi:
Security Rating Metrics for Distributed Wireless Systems. - Mahyar Taj Dini, Volodymyr Sokolov, Volodymyr Buriachok:
Men-in-the-Middle Attack Simulation on Low Energy Wireless Devices using Software Define Radio. - Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd, Renae Hovey, Robert B. Fisher, Gary A. Kendrick:
Hierarchical Classification of Kelps utilizing Deep Residual Features. - Sylvia Schmitz, Martin Weinmann, Boitumelo Ruf:
Automatic Co-Registration of Aerial Imagery and Untextured Model Data Utilizing Average Shading Gradients. - Guohui Zhao:
Branched splines. - Maciej Besta, Marcel Schneider, Karolina Cynk, Marek Konieczny, Erik Henriksson, Salvatore Di Girolamo, Ankit Singla, Torsten Hoefler:
FatPaths: Routing in Supercomputers, Data Centers, and Clouds with Low-Diameter Networks when Shortest Paths Fall Short. - Zibin Zhou, Fei Wang, Wenjuan Xi, Huaying Chen, Peng Gao, Chengkang He:
Joint Multi-frame Detection and Segmentation for Multi-cell Tracking. - Jiayun Wang, Rudrasis Chakraborty, Stella X. Yu:
Spatial Transformer for 3D Points. - Javier Naranjo-Alcazar, Sergi Perez-Castanos, Irene Martín-Morató, Pedro Zuccarello, Maximo Cobos:
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification. - Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato:
Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System. - Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao:
Visual Anomaly Detection in Event Sequence Data. - Yao Xu, Xueshuang Xiang, Meiyu Huang:
Task-Driven Common Representation Learning via Bridge Neural Network. - Kai Hakala, Aleksi Vesanto, Niko Miekka, Tapio Salakoski, Filip Ginter:
Leveraging Text Repetitions and Denoising Autoencoders in OCR Post-correction. - Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks. - Youngnam Lee, Youngduck Choi, Junghyun Cho, Alexander R. Fabbri, Hyunbin Loh, Chanyou Hwang, Yongku Lee, Sang-Wook Kim, Dragomir R. Radev:
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess. - Pierre Sutra:
On the correctness of Egalitarian Paxos. - Bart Bussmann, Jacqueline Heinerman, Joel Lehman:
Towards Empathic Deep Q-Learning. - Yael Mathov, Noga Agmon, Asaf Shabtai, Rami Puzis, Nils Ole Tippenhauer, Yuval Elovici:
Challenges for Security Assessment of Enterprises in the IoT Era. - Alona Sydorova, Nina Pörner, Benjamin Roth:
Interpretable Question Answering on Knowledge Bases and Text. - Ruoxiang Li, Dianxi Shi, Yongjun Zhang, Kaiyue Li, Ruihao Li:
FA-Harris: A Fast and Asynchronous Corner Detector for Event Cameras. - Harel Berger, Amit Z. Dvir, Moti Geva:
A wrinkle in time: A case study in DNS poisoning. - Orly Stan, Ron Bitton, Michal Ezrets, Moran Dadon, Masaki Inokuchi, Yoshinobu Ohta, Tomohiko Yagyu, Yuval Elovici, Asaf Shabtai:
Heuristic Approach Towards Countermeasure Selection using Attack Graphs. - Linus Seelinger, Anne Reinarz, Robert Scheichl:
A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. - Mauro Mancini, Nicoletta Bloise, Elisa Capello, Elisabetta Punta:
Sliding Mode Control Techniques and Artificial Potential Field for Dynamic Collision Avoidance in Rendezvous Maneuvers. - Pan Li, Alexander Tuzhilin:
Latent Multi-Criteria Ratings for Recommendations. - Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
Signed Graph Attention Networks. - Sebastian Eibl, Ulrich Rüde:
A Modular and Extensible Software Architecture for Particle Dynamics. - Mohammed Abdou, Mahmoud Elkhateeb, Ibrahim Sobh, Ahmad El Sallab:
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving. - Simone Cacace, Roberto Ferretti, Adriano Festa:
Stochastic hybrid differential games and match race problems. - Mirco Schönfeld, Steffen Eckhard, Ronny Patz, Hilde van Meegdenburg:
The UN Security Council debates 1995-2017. - Andreas Gocht, Robert Schöne, Mario Bielert:
Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC. - Sorin Mihai Grigorescu, Bogdan Trasnea, Liviu Marina, Andrei Vasilcoi, Tiberiu T. Cocias:
NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles. - Yifeng Li, Lingxi Xie, Ya Zhang, Rui Zhang, Yanfeng Wang, Qi Tian:
Defending Adversarial Attacks by Correcting logits. - Qiyu Kang, Wee Peng Tay:
Orthogonal Projection in Linear Bandits. - Fabrizio Grandoni, Stefan Kratsch, Andreas Wiese:
Parameterized Approximation Schemes for Independent Set of Rectangles and Geometric Knapsack. - Gil Einziger, Maayan Goldstein, Yaniv Sa'ar, Itai Segall:
Verifying Robustness of Gradient Boosted Models. - Idris Badmus, Marja Matinmikko-Blue, Jaspreet Singh Walia:
Network Slicing Management Technique for Local 5G Micro-Operator Deployments. - Stefan Balke, Matthias Dorfer, Luís Carvalho, Andreas Arzt, Gerhard Widmer:
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval. - Ni Luh Dewi Sintiari, Nicolas Trotignon:
(Theta, triangle)-free and (even hole, K4)-free graphs. Part 1 : Layered wheels. - Raphaèle Herbin, Jean-Claude Latché, Youssouf Nasseri, Nicolas Therme:
A decoupled staggered scheme for the shallow water equations. - Thomas Gerstner, Bastian Harrach, Daniel Roth:
Convergence of Milstein Brownian bridge Monte Carlo methods and stable Greeks calculation. - Onur Celik, Hany Abdulsamad, Jan Peters:
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. - Tomás Dorta, Stéphane Safin, Sana Boudhraâ, Emmanuel Beaudry Marchand:
Co-Designing in Social VR. Process awareness and suitable representations to empower user participation. - Tommaso Taddei:
A registration method for model order reduction: data compression and geometry reduction. - Nicolas Boria, Sébastien Bougleux, Benoit Gaüzère, Luc Brun:
Generalized Median Graph via Iterative Alternate Minimizations. - Shervan Fekri Ershad, Farshad Tajeripour:
Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm. - Peter Mell, John Kelsey, James M. Shook:
Cryptocurrency Smart Contracts for Distributed Consensus of Public Randomness. - Luiz Fernando Capretz, Pradeep Waychal, Jingdong Jia:
Comparing Popularity of Testing Careers among Canadian, Chinese, Indian Students. - Kyle E. Niemeyer:
A project-based course on software development for (engineering) research. - Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic. - Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu:
Sharing Attention Weights for Fast Transformer. - Aldo F. G. Solis-Labastida, Jorge G. Hirsch:
Algorithmic measurement procedures. - Jay Gopalakrishnan, Matthias Hochsteger, Joachim Schöberl, Christoph Wintersteiger:
An Explicit Mapped Tent Pitching Scheme for Maxwell Equations. - Giulia Bernardini, Huiping Chen, Alessio Conte, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis, Giovanna Rosone:
String Sanitization: A Combinatorial Approach. - Reuben R. Shamir, Yuval Duchin, Jinyoung Kim, Guillermo Sapiro, Noam Harel:
Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations. - Aladdin Ayesh:
Cognitive Systems Approach to Smart Cities. - Mnacho Echenim, Nicolas Peltier, Yanis Sellami:
Ilinva: Using Abduction to Generate Loop Invariants. - Peter Mell:
Managed Blockchain Based Cryptocurrencies with Consensus Enforced Rules and Transparency. - Alex Hernández-García, Peter König:
Further advantages of data augmentation on convolutional neural networks. - Shreshth Tuli, Nipam Basumatary, Rajkumar Buyya:
EdgeLens: Deep Learning based Object Detection in Integrated IoT, Fog and Cloud Computing Environments. - Peter Mell, Jim Dray, James M. Shook:
Smart Contract Federated Identity Management without Third Party Authentication Services. - Long Yang, Yu Zhang:
Expected Sarsa(λ) with Control Variate for Variance Reduction. - Peter Mell, Assane Gueye, Christopher Schanzle:
Quantifying Information Exposure in Internet Routing. - Stefano V. Albrecht, Peter Stone:
Reasoning about Hypothetical Agent Behaviours and their Parameters. - Fuchun Lin, San Ling, Reihaneh Safavi-Naini, Huaxiong Wang:
Non-malleable Coding for Arbitrary Varying Channels. - Aladdin Ayesh:
Turing Test Revisited: A Framework for an Alternative. - Li Bai, Dimitri Thomopulos, Emanuele Crisostomi:
Preference-based Energy Exchange in a Network of Microgrids. - Fabian Fagerholm, Christoph Becker, Alexander Chatzigeorgiou, Stefanie Betz, Leticia Duboc, Birgit Penzenstadler, Rahul Mohanani, Colin C. Venters:
Temporal Discounting in Software Engineering: A Replication Study. - Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka:
Optimistic Proximal Policy Optimization. - Philippe Blondeel, Pieterjan Robbe, Cédric van hoorickx, Geert Lombaert, Stefan Vandewalle:
h- and p-refined Multilevel Monte Carlo Methods for Uncertainty Quantification in Structural Engineering. - Dylan Yaga, Peter Mell, Nik Roby, Karen Scarfone:
Blockchain Technology Overview. - Hanchao Wang, Jun Huan:
AGAN: Towards Automated Design of Generative Adversarial Networks. - W. Steven Gray, G. S. Venkatesh, Luis A. Duffaut Espinosa:
Combining Learning and Model Based Control via Discrete-Time Chen-Fliess Series. - Hichem Mezaoui, Aleksandr Gontcharov, Isuru Gunasekara:
Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding. - Philipp Morgner, Christoph Mai, Nicole Koschate-Fischer, Felix C. Freiling, Zinaida Benenson:
Security Update Labels: Establishing Economic Incentives for Security Patching of IoT Consumer Products. - Marc Eder, True Price, Thanh Vu, Akash Bapat, Jan-Michael Frahm:
Mapped Convolutions. - Weizhu Bao, Yongyong Cai, Jia Yin:
Uniform error bounds of time-splitting methods for the nonlinear Dirac equation in the nonrelativistic limit regime. - Onel L. Alcaraz López, Hirley Alves, Pedro H. J. Nardelli, Matti Latva-aho:
Hybrid Resource Scheduling for Aggregation in Massive Machine-type Communication Networks. - Jakub Michaliszyn, Jan Otop:
Approximate Learning of Limit-Average Automata. - Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool:
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. - Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý:
Rethinking Formal Models of Partially Observable Multiagent Decision Making. - Felipe Carraro, Rafael Holdorf Lopez, Leandro Fleck Fadel Miguel, André Jacomel Torii:
Monte Carlo Integration with adaptive variance selection for improved stochastic Efficient Global Optimization. - Madhura Thosar, Christian A. Mueller, Georg Jäger, Johannes Schleiss, Narender Pulugu, Ravi Mallikarjun Chennaboina, Sai Vivek Jeevangekar, Andreas Birk, Max Pfingsthorn, Sebastian Zug:
From Multi-modal Property Dataset to Robot-centric Conceptual Knowledge About Household Objects. - Nikolay Matyunin, Yujue Wang, Tolga Arul, Jakub Szefer, Stefan Katzenbeisser:
MagneticSpy: Exploiting Magnetometer in Mobile Devices for Website and Application Fingerprinting. - Yuichi Sudo, Toshimitsu Masuzawa:
Leader Election Requires Logarithmic Time in Population Protocols. - Ge Wang, Jun Zhao, Nigel Shadbolt:
What concerns do Chinese parents have about their children's digital adoption and how to better support them? - Iknoor Singh, Deepak P, Anoop Kadan:
On the Coherence of Fake News Articles. - Rajeev Yasarla, Vishal M. Patel:
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining. - Gary J. Saavedra, Kathryn N. Rodhouse, Daniel M. Dunlavy, W. Philip Kegelmeyer:
A Review of Machine Learning Applications in Fuzzing. - Fahad Qasmi, Mohammad Shehab, Hirley Alves, Matti Latva-aho:
Fixed Rate Statistical QoS Provisioning for Markovian Sources in Machine Type Communication. - Kyungyun Lee, Juhan Nam:
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice. - Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation. - Amir-Reza Asadi, Emmanuel Abbe:
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Nets. - Xiaoqian Wei, Jianying Yang, Xiangru Fan:
Distributed Optimal Guidance Laws for Multiple Unmanned Aerial Vehicles Attacking A Moving Target. - Asja Derviskadic, Guglielmo Frigo, Mario Paolone:
Beyond Phasors: Continuous-Spectrum Modeling of Power Systems using the Hilbert Transform. - Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang:
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. - Sabah Al-Fedaghi:
Toward Maximum Grip Process Modeling in Software Engineering. - Jirí Adámek:
On free completely iterative algebras. - Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua:
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. - Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le:
Learning Data Augmentation Strategies for Object Detection. - Yann Beilliard, Maxime Godard, Aggelos Ioannou, Astrinos Damianakis, Michael Ligerakis, Iakovos Mavroidis, Pierre-Yves Martinez, David Danovitch, Julien Sylvestre, Dominique Drouin:
FPGA-based Multi-Chip Module for High-Performance Computing. - Stephen James, Marc Freese, Andrew J. Davison:
PyRep: Bringing V-REP to Deep Robot Learning. - Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks:
Canonicalizing Knowledge Base Literals. - Maxim Bazik, Brien Flewelling, Manoranjan Majji, Joseph Mundy:
Bayesian Inference of Spacecraft Pose using Particle Filtering. - Claudson F. Bornstein, Martin Charles Golumbic, Tanilson D. Santos, Uéverton S. Souza, Jayme Luiz Szwarcfiter:
The Complexity of Helly-B1 EPG Graph Recognition. - Moez A. AbdelGawad:
Java Generics: An Order-Theoretic Approach (Abridged Outline). - David Tolpin:
Deployable probabilistic programming. - Zhe Hou, David Sanán, Alwen Tiu, Yang Liu, Jin Song Dong:
A formalisation of the SPARC TSO memory model for multi-core machine code. - Sébastien Vaucher, Valerio Schiavoni, Pascal Felber:
Stress-SGX: Load and Stress your Enclaves for Fun and Profit. - Shane D. Sims, Vanessa Putnam, Cristina Conati:
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks. - Mohsen Ahmadvand, Amjad Ibrahim, Felix Huber:
Taxonomy-as-a-Service: How To Structure Your Related Work. - Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Tim Hertweck, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller:
Regularized Hierarchical Policies for Compositional Transfer in Robotics. - Christian Gorenflo, Lukasz Golab, Srinivasan Keshav:
XOX Fabric: A hybrid approach to transaction execution. - Saeed Hajizadeh:
On the Common Randomness Capacity of a Special Class of Two-way Channels. - Fanny Yang, Zuowen Wang, Christina Heinze-Deml:
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness. - Naor Alaluf, Moran Feldman:
Making a Sieve Random: Improved Semi-Streaming Algorithm for Submodular Maximization under a Cardinality Constraint. - Phanideep Gampa, Sairam Satwik Kondamudi, Lakshmanan Kailasam:
A Tractable Algorithm For Finite-Horizon Continuous Reinforcement Learning. - Andreas Berg, Daniel Forsberg:
Identifying DNS-tunneled traffic with predictive models. - Osonde Osoba, Bart Kosko:
Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps. - Fatemeh Kazemi, Esmaeil Karimi, Anoosheh Heidarzadeh, Alex Sprintson:
Private Information Retrieval with Private Coded Side Information: The Multi-Server Case. - Andrew Elkins, Felipe F. Freitas, Verónica Sanz:
Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence. - Shameem Ahamed Puthiya Parambath:
Re-ranking Based Diversification: A Unifying View. - Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish:
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. - AbdelRahman Abdou, Paul C. van Oorschot:
Secure Client and Server Geolocation Over the Internet. - (Withdrawn) Near Optimal Stratified Sampling.
- Augusto Villa Monte, Laura Lanzarini, Aurelio Fernández Bariviera, José A. Olivas:
User-Oriented Summaries Using a PSO Based Scoring Optimization Method. - Xiang Lisa Li, Dingquan Wang, Jason Eisner:
A Generative Model for Punctuation in Dependency Trees. - Esin Durmus, Claire Cardie:
Exploring the Role of Prior Beliefs for Argument Persuasion. - Matthew Halpern, Behzad Boroujerdian, Todd W. Mummert, Evelyn Duesterwald, Vijay Janapa Reddi:
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers. - Esin Durmus, Claire Cardie:
A Corpus for Modeling User and Language Effects in Argumentation on Online Debating. - Esin Durmus, Faisal Ladhak, Claire Cardie:
Determining Relative Argument Specificity and Stance for Complex Argumentative Structures. - Varun Kumar Vijay, Abhinav Ganesh, Hanlin Tang, Arjun K. Bansal:
Generalization to Novel Objects using Prior Relational Knowledge. - René Haberland, Kirill Krinkin:
A Stricter Heap Separating Points-To Logic. - Isabelly Rocha, Christian Göttel, Pascal Felber, Marcelo Pasin, Romain Rouvoy, Valerio Schiavoni:
HEATS: Heterogeneity- and Energy-Aware Task-based Scheduling. - Evan S. Gawlik, Yuji Nakatsukasa:
Approximating the pth Root by Composite Rational Functions. - Omri Ben-Eliezer, Eylon Yogev:
The Adversarial Robustness of Sampling. - Tian Liu, Tao Shu:
Adversarial FDI Attack against AC State Estimation with ANN. - Linbin Huang, Huanhai Xin, Florian Dörfler:
$H_{\infty}$-Control of Grid-Connected Converters: Design, Objectives and Decentralized Stability Certificates. - Benjamin R. Baer, Daniel E. Gilbert, Martin T. Wells:
Fairness criteria through the lens of directed acyclic graphical models. - Pavlos Mitsoulis-Ntompos, Meisam Hejazinia, Serena Zhang, Travis Brady:
A Simple Deep Personalized Recommendation System. - Bruno Cartaxo, Gustavo Pinto, Baldoino Fonseca, Márcio Ribeiro, Pedro Pinheiro, Sérgio Soares, Maria Teresa Baldassarre:
Software Engineering Research Community Viewpoints on Rapid Reviews. - Abhinav Shaw, Natcha Simsiri, Iman Deznaby, Madalina Fiterau, Tauhidur Rahman:
Personalized Student Stress Prediction with Deep Multitask Network. - Hossein Rastgoftar:
Interactive Physics-Inspired Traffic Congestion Management. - Yihe Dong, Samuel B. Hopkins, Jerry Li:
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection. - Linguang Zhang, Maciej Halber, Szymon Rusinkiewicz:
Accelerating Large-Kernel Convolution Using Summed-Area Tables. - Ankush Chakrabarty, Rien Quirynen, Claus Danielson, Weinan Gao:
Approximate Dynamic Programming For Linear Systems with State and Input Constraints. - Onur Varol, Ismail Uluturk:
Deception Strategies and Threats for Online Discussions. - Carlos A. Barreto, Eduardo Mojica-Nava, Nicanor Quijano:
Incentive Mechanisms to Prevent Efficiency Loss of Non-Profit Utilities. - Junyi Du, He Jiang, Jiaming Shen, Xiang Ren:
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis. - Ray Li, Percy Liang, Stephen Mussmann:
A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree. - Max Vladymyrov:
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms. - Jie Feng, Yongpeng Wu, Guangtao Zhai, Ning Liu, Wenjun Zhang:
An Algorithm for Transmitting VR Video Based on Adaptive Modulation. - Heer Ambavi, Ayush Garg, Ayush Garg, Nitiksha, Mridul Sharma, Rohit Sharma, Jayesh Choudhari, Mayank Singh:
BioGen: Automated Biography Generation. - Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman:
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion. - Fuyuan Xiao:
Generalization of Dempster-Shafer theory: A complex belief function. - Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles:
Few-Shot Video Classification via Temporal Alignment. - Shizhan Lu:
Clustering by the way of atomic fission. - James Mount, Les Dawes, Michael Milford:
Automatic Coverage Selection for Surface-Based Visual Localization. - Marco T. Morazán, Josephine A. Des Rosiers:
FSM Error Messages. 1-16 - Tsukino Furukawa, Youyou Cong, Kenichi Asai:
Stepping OCaml. 17-34 - Marco T. Morazán:
Vector Programming Using Generative Recursion. 35-51 - Per Lindgren, Marcus Lindner, Nils Fitinghoff:
Introducing Certified Compilation in Education by a Functional Language Approach. 65-78 - Gaurav Choudhary, Jiyoon Kim, Vishal Sharma:
Security of 5G-Mobile Backhaul Networks: A Survey. - Xianwei Zheng, Linxi Huan, Hanjiang Xiong, Jianya Gong:
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation. - (Withdrawn) User Validation of Recommendation Serendipity Metrics.
- Hugo Villamizar, Amadeu Anderlin Neto, Marcos Kalinowski, Alessandro Garcia, Daniel Méndez Fernández:
An Approach for Reviewing Security-Related Aspects in Agile Requirements Specifications of Web Applications. - Liming Han, Yimin Lin, Guoguang Du, Shiguo Lian:
DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints. - Weifeng Qiu, Shun Zhang:
Adaptive First-Order System Least-Squares Finite Element Methods for Second Order Elliptic Equations in Non-Divergence Form. - Zhangxuan Gu, Li Niu, Liqing Zhang:
Hard Pixels Mining: Learning Using Privileged Information for Semantic Segmentation. - Lin Sun, Jun Zhao, Xiaojun Ye:
Distributed Clustering in the Anonymized Space with Local Differential Privacy. - Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Jiaze Wang, Ruiyu Li, Xiaoyong Shen, Jiaya Jia:
Region Refinement Network for Salient Object Detection. - Gill Barequet, Mira Shalah:
Improved Upper Bounds on the Growth Constants of Polyominoes and Polycubes. - Boldizsár Németh, Eunjong Choi, Erina Makihara, Hajimu Iida:
Investigating Compilation Errors of Students Learning Haskell. 52-64 - Yahnit Sirineni, Pulkit Verma, Kamalakar Karlapalem:
Traffic Management Strategies for Multi-Robotic Rigid Payload Transport Systems. - Ruixuan Luo, Jingjing Xu, Yi Zhang, Xuancheng Ren, Xu Sun:
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation. - Emillie Thiselton, Christoph Treude:
Enhancing Python Compiler Error Messages via Stack Overflow. - Volkan Dedeoglu, Raja Jurdak, Guntur D. Putra, Ali Dorri, Salil S. Kanhere:
A Trust Architecture for Blockchain in IoT. - Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Toward Simulating Environments in Reinforcement Learning Based Recommendations. - Younghak Shin, Hemin Ali Qadir, Lars Aabakken, Jacob Bergsland, Ilangko Balasingham:
Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches. - Lei Wang, Du Q. Huynh, Moussa Reda Mansour:
Loss Switching Fusion with Similarity Search for Video Classification. - Xiaomei Zhao, Yihong Wu:
Automatically Extract the Semi-transparent Motion-blurred Hand from a Single Image. - Karthik Gajulapalli, James A. Liu, Vijay V. Vazirani:
Further Results on Stability-Preserving Mechanisms for School Choice. - Isaak Lim, Moritz Ibing, Leif Kobbelt:
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization. - Shijie Wu, Ryan Cotterell, Timothy J. O'Donnell:
Morphological Irregularity Correlates with Frequency. - André Greiner-Petter, Moritz Schubotz, Howard S. Cohl, Bela Gipp:
Semantic Preserving Bijective Mappings for Expressions involving Special Functions in Computer Algebra Systems and Document Preparation Systems. - Omar M. Alhawi, Mustafa A. Mustafa, Lucas C. Cordeiro:
Finding Security Vulnerabilities in Unmanned Aerial Vehicles Using Software Verification. - Cristian-Alexandru Staicu, Daniel Schoepe, Musard Balliu, Michael Pradel, Andrei Sabelfeld:
An Empirical Study of Information Flows in Real-World JavaScript. - Gerrit Großmann, Luca Bortolussi:
Reducing Spreading Processes on Networks to Markov Population Models. - Rudolf Rosa, David Marecek:
Inducing Syntactic Trees from BERT Representations. - Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, Jingren Zhou:
A Survey and Experimental Analysis of Distributed Subgraph Matching. - Florentin Rochet, Olivier Bonaventure, Olivier Pereira:
Flexible Anonymous Network. - Ondrej Klejch, Joachim Fainberg, Peter Bell, Steve Renals:
Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models. - Ken-ichi Kawarabayashi, Seri Khoury, Aaron Schild, Gregory Schwartzman:
Improved Distributed Approximation to Maximum Independent Set. - Ahmad Zakaria, Marc Chaumont, Gérard Subsol:
Pooled Steganalysis in JPEG: how to deal with the spreading strategy? - Hadi S. Jomaa, Josif Grabocka, Lars Schmidt-Thieme:
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning. - Monika Eisenmann, Mihály Kovács, Raphael Kruse, Stig Larsson:
Error estimates of the backward Euler-Maruyama method for multi-valued stochastic differential equations. - Jürgen Scherer, Bernhard Rinner:
Multi-Robot Patrolling with Sensing Idleness and Data Delay Objectives. - Elias Yaacoub, Mohamed-Slim Alouini:
A Key 6G Challenge and Opportunity - Connecting the Remaining 4 Billions: A Survey on Rural Connectivity. - Ermano Arruda, Claudio Zito, Mohan Sridharan, Marek Sewer Kopicki, Jeremy L. Wyatt:
Generative grasp synthesis from demonstration using parametric mixtures. - Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov:
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels. - Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau:
Flexible SVBRDF Capture with a Multi-Image Deep Network. - Mustafa A. Kishk, Ahmed Bader, Mohamed-Slim Alouini:
Capacity and Coverage Enhancement Using Long-Endurance Tethered Airborne Base Stations. - Shervan Fekri Ershad:
A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection. - Karoline Heiwolt, Claudio Zito, Markus Nowak, Claudio Castellini, Rustam Stolkin:
Automatic Detection of Myocontrol Failures Based upon Situational Context Information. - Kisu Yang, Dongyub Lee, Taesun Whang, Seolhwa Lee, Heuiseok Lim:
EmotionX-KU: BERT-Max based Contextual Emotion Classifier. - Morgane Goibert, Elvis Dohmatob:
Adversarial Robustness via Adversarial Label-Smoothing. - (Withdrawn) Sensitivity to Haptic-Audio Envelope Asynchrony.
- Anne-Ruth José Meijer, Arnoud Visser:
A shallow residual neural network to predict the visual cortex response. - Sander Beckers, Frederick Eberhardt, Joseph Y. Halpern:
Approximate Causal Abstraction. - Evangello Flouty, Abdolrahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Hinde Taleb, Santiago Barbarisi, Gwenolé Quellec, Danail Stoyanov:
CaDIS: Cataract Dataset for Image Segmentation. - Deli Zhao, Jiapeng Zhu, Zhenfang Guo, Bo Zhang:
Curriculum Learning for Deep Generative Models with Clustering. - Ahmed Nasrallah, Venkatraman Balasubramanian, Akhilesh S. Thyagaturu, Martin Reisslein, Hesham Elbakoury:
Reconfiguration Algorithms for High Precision Communications in Time Sensitive Networks: Time-Aware Shaper Configuration with IEEE 802.1Qcc (Extended Version). - Massimo Zancanaro, Oliviero Stock, Gianluca Schiavo, Alessandro Cappelletti, Sebastian Gehrmann, Daphna Canetti, Ohad Shaked, Shani Fachter, Rachel Yifat, Ravit Mimran, Patrice L. Weiss:
Evaluating an Automated Mediator for Joint Narratives in a Conflict Situation. - Máté Gyarmati, Péter Ligeti:
Smallest graphs achieving the Stinson bound. - Etienne Decencière, Santiago Velasco-Forero, Fu Min, Juanjuan Chen, Hélène Burdin, Gervais Gauthier, Bruno Laÿ, Thomas Bornschloegl, Thérèse Baldeweck:
Dealing with Topological Information within a Fully Convolutional Neural Network. - Suyoun Kim, Siddharth Dalmia, Florian Metze:
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion. - Gregor Nitsche:
Structural Contracts - Contracts for Type Construction & Dependent Types to Ensure Consistency of Extra-Functional Reasoning. - Muhammed Fatih Bulut, Hongtan Sun, Pritpal Arora, Maja Vukovic, Klaus Koenig, Jonathan Young:
Technical Health Check For Cloud Service Providers. - Leon Derczynski:
Simple Natural Language Processing Tools for Danish. - Yaël Frégier, Jean-Baptiste Gouray:
Mind2Mind : transfer learning for GANs. - Maksym Figat, Cezary Zielinski:
Methodology of Designing Multi-agent Robot Control Systems Utilising Hierarchical Petri Nets. - Sk. Mashfiqur Rahman, Suraj Pawar, Omer San, Adil Rasheed, Traian Iliescu:
A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. - Udi Boker, Karoliina Lehtinen:
Good for Games Automata: From Nondeterminism to Alternation. - Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy:
On improving deep learning generalization with adaptive sparse connectivity. - Federico Di Mattia, Paolo Galeone, Michele De Simoni, Emanuele Ghelfi:
A Survey on GANs for Anomaly Detection. - Maciek Chociej, Peter Welinder, Lilian Weng:
ORRB - OpenAI Remote Rendering Backend. - Roberto Camassa, Gregorio Falqui, Giovanni Ortenzi, Marco Pedroni, Giuseppe Pitton:
Singularity formation as a wetting mechanism in a dispersionless water wave model. - Manijeh Bashar, Kanapathippillai Cumanan, Alister G. Burr, Hien Quoc Ngo, Erik G. Larsson, Pei Xiao:
On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO. - Raphaèle Herbin, Thierry Gallouët, Jean-Claude Latché, Nicolas Therme:
Consistent Internal Energy Based Schemes for the Compressible Euler Equations. - Frédéric Blanqui, Guillaume Genestier, Olivier Hermant:
Dependency Pairs Termination in Dependent Type Theory Modulo Rewriting. - Yue Chen, Long Wang, Kevin C. Galloway, Isuru S. Godage, Nabil Simaan, Eric J. Barth:
Modal-based Kinematics and Contact Detection of Soft Robots. - Michael Lohaus, Philipp Hennig, Ulrike von Luxburg:
Uncertainty Estimates for Ordinal Embeddings. - Will Ma, Balasubramanian Sivan:
Separation between Second Price Auctions with Personalized Reserves and the Revenue Optimal Auction. - Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie:
Inspirational Adversarial Image Generation. - Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh:
SpliceRadar: A Learned Method For Blind Image Forensics. - Danilo Vasconcellos Vargas, Shashank Kotyan:
Evolving Robust Neural Architectures to Defend from Adversarial Attacks. - Anna Jobin, Marcello Ienca, Effy Vayena:
Artificial Intelligence: the global landscape of ethics guidelines. - Christoph Gebhardt, Benjamin Hepp, Tobias Naegeli, Stefan Stevsic, Otmar Hilliges:
Airways: Optimization-Based Planning of Quadrotor Trajectories according to High-Level User Goals. - John M. Wandeto, Henry O. Nyongesa, Yves Rémond, Birgitta Dresp-Langley:
Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection. - Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen:
Resonator Circuits for factoring high-dimensional vectors. - Christoph Gebhardt, Stefan Stevsic, Otmar Hilliges:
Optimizing for Aesthetically Pleasing Quadrotor Camera Motion. - Heide Gluesing-Luerssen:
On the Sparseness of Certain MRD Codes. - Bingquan Ji, Hong-lin Liao, Luming Zhang:
Simple maximum-principle preserving time-stepping methods for time-fractional Allen-Cahn equation. - Sammy Joe Christen, Stefan Stevsic, Otmar Hilliges:
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction. - Daniel Tang:
Efficient algorithms for modifying and sampling from a categorical distribution. - Triton Ong, Matthew Ruppert, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Marko Suvajdzic, Azra Bihorac:
The DREAMS Project: Improving the Intensive Care Patient Experience with Virtual Reality. - Himan Abdollahpouri, Robin Burke:
Reducing Popularity Bias in Recommendation Over Time. - Alberto Bailoni, Constantin Pape, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht:
A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation. - Henrique Lemos Ribeiro, Higor Amario de Souza, Roberto Paulo Andrioli de Araujo, Marcos Lordello Chaim, Fabio Kon:
Evaluating data-flow coverage in spectrum-based fault localization. - Joel D. Day, Thorsten Ehlers, Mitja Kulczynski, Florin Manea, Dirk Nowotka, Danny Bøgsted Poulsen:
On Solving Word Equations Using SAT. - Shrey Baheti, Parwat Singh Anjana, Sathya Peri, Yogesh Simmhan:
DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain. - Hong-Lan Botterman, Robin Lamarche-Perrin:
Link weights recovery in heterogeneous information networks. - Guanxiong Liu, Issa Khalil, Abdallah Khreishah:
Using Intuition from Empirical Properties to Simplify Adversarial Training Defense. - Mario Blaum, Steven R. Hetzler:
Array Codes with Local Properties. - Bingquan Ji, Hong-lin Liao, Yuezheng Gong, Luming Zhang:
Adaptive second-order Crank-Nicolson time-stepping schemes for time fractional molecular beam epitaxial growth models. - Waleed A. Yousef, Ahmed A. Abouelkahire, Omar S. Marzouk, Sameh K. Mohamed, Mohamed N. Alaggan:
DVP: Data Visualization Platform. - Timo Lang, Carlos Olarte, Elaine Pimentel, Christian G. Fermüller:
A Game Model for Proofs with Costs. - Matthias Lindemann, Jonas Groschwitz, Alexander Koller:
Compositional Semantic Parsing Across Graphbanks. - Yangming Li, Blake Hannaford, Jacob Rosen:
Raven: Open Surgical Robotic Platforms. - Ayan Dutta, Gokarna Sharma:
A Constant-Factor Approximation Algorithm for Online Coverage Path Planning with Energy Constraint. - Mai Oudah, Amjad Almahairi, Nizar Habash:
The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation. - Antoine Venant, Alexander Koller:
Semantic expressive capacity with bounded memory. - Thomas Langerak, Juan Jose Zarate, Velko Vechev, Daniele Panozzo, Otmar Hilliges:
Dynamic Drawing Guidance via Electromagnetic Haptic Feedback. - Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh:
Singular Value Decomposition and Neural Networks. - Norman Meuschke, Vincent Stange, Moritz Schubotz, Michael Kramer, Bela Gipp:
Improving Academic Plagiarism Detection for STEM Documents by Analyzing Mathematical Content and Citations. - Dominic Breit, Alan Dodgson:
Convergence rates for the numerical approximation of the 2D stochastic Navier-Stokes equations. - Mazharul Islam, Md. Nazmuddoha Ansary, Novia Nurain, Salauddin Parvez Shams, A. B. M. Alim Al Islam:
A Sweet Recipe for Consolidated Vulnerabilities: Attacking a Live Website by Harnessing a Killer Combination of Vulnerabilities. - Jongpil Lee, Jiyoung Park, Juhan Nam:
Representation Learning of Music Using Artist, Album, and Track Information. - Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra:
ExTra: Transfer-guided Exploration. - Richard Shin:
Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers. - Aviv Gabbay, Yedid Hoshen:
Latent Optimization for Non-adversarial Representation Disentanglement. - Klas Leino, Matt Fredrikson:
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference. - Eric Bax, John Donald, Melissa Gerber, Lisa Giaffo, Tanisha Sharma, Nikki Thompson, Kimberly Williams:
Data Consortia. - Lars Gottesbüren, Michael Hamann, Tim Niklas Uhl, Dorothea Wagner:
Faster and Better Nested Dissection Orders for Customizable Contraction Hierarchies. - Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar:
Learning Fair Representations for Kernel Models. - Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma:
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data. - Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia:
Selection Via Proxy: Efficient Data Selection For Deep Learning. - Yangming Li:
Robotic Supervised Autonomy: A Review. - Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom Michael Mitchell:
Relating Simple Sentence Representations in Deep Neural Networks and the Brain. - Hager Radi, Waleed Ali:
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view. - Yinzheng Gu, Chuanpeng Li:
Team JL Solution to Google Landmark Recognition 2019. - Jan M. Köhler, Maximilian Autenrieth, William H. Beluch:
Uncertainty Based Detection and Relabeling of Noisy Image Labels. - Zijin Luo, Matthew Guzdial, Mark O. Riedl:
Making CNNs for Video Parsing Accessible. - Mehdi Abbaszadeh, Aliakbar Rahimifard, Mohammadali Eftekhari, Hossein Ghayoumi Zadeh, Ali Fayazi, Ali Dini, Mostafa Danaeian:
Deep Learning-Based Classification Of the Defective Pistachios Via Deep Autoencoder Neural Networks. - Murad Qasaimeh, Kristof Denolf, Jack Lo, Kees A. Vissers, Joseph Zambreno, Phillip H. Jones:
Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision Kernels. - Aviv Gabbay, Yedid Hoshen:
Style Generator Inversion for Image Enhancement and Animation. - Nicki Skafte Detlefsen, Søren Hauberg:
Explicit Disentanglement of Appearance and Perspective in Generative Models. - Tianxing He, Shengcheng Yu, Ziyuan Wang, Jieqiong Li, Zhenyu Chen:
From Data Quality to Model Quality: an Exploratory Study on Deep Learning. - Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih:
Unsupervised Learning of Object Keypoints for Perception and Control. - Tanmay Randhavane, Aniket Bera, Kyra Kapsaskis, Uttaran Bhattacharya, Kurt Gray, Dinesh Manocha:
Identifying Emotions from Walking using Affective and Deep Features. - Chun-Mei Feng, Yong Xu, Zuoyong Li, Jian Yang:
Robust Classification with Sparse Representation Fusion on Diverse Data Subsets. - Lucas C. Possatti, Ranik Guidolini, Vinicius B. Cardoso, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars. - Benlin Hu, Cheng Lei, Dong Wang, Shu Zhang, Zhenyu Chen:
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification. - Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo:
Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks. - Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, Tobias Scheffer:
Deep Eyedentification: Biometric Identification using Micro-Movements of the Eye. - Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor:
Characterizing Bias in Classifiers using Generative Models. - Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
Fine-grained zero-shot recognition with metric rescaling. - Ahmed Elfakharany, Rubiyah Yusof, Nordinah Ismail, Reza Arfa, Muhd Ridzuan Muhd Yunus:
HalalNet: A Deep Neural Network that Classifies the Halalness Slaughtered Chicken from their Images. - Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts. - Salma Benslimane, Simon Tamayo, Arnaud de La Fortelle:
Classifying logistic vehicles in cities using Deep learning. - Mark Lee, J. Zico Kolter:
On Physical Adversarial Patches for Object Detection. - Léonard Boussioux, Tomás Giro-Larraz, Charles Guille-Escuret, Mehdi Cherti, Balázs Kégl:
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification. - Farzad Shafiei Dizaji:
Lidar based Detection and Classification of Pedestrians and Vehicles Using Machine Learning Methods. - Shan Jia, Chuanbo Hu, Guodong Guo, Zhengquan Xu:
A database for face presentation attack using wax figure faces. - Stéphane Clinchant, Hervé Déjean, Jean-Luc Meunier, Eva Maria Lang, Florian Kleber:
Comparing Machine Learning Approaches for Table Recognition in Historical Register Books. - Roshan Rane, Vageesh Saxena, Edit Szügyi:
Video Action Classification Using PredNet. - Natalya Pya Arnqvist, Blaise Ngendangenzwa, Erik Lindahl, Leif Nilsson, Jun Yu:
Effective degrees of freedom for surface finish defect detection and classification. - Xinjie Lan:
A synthetic dataset for deep learning. - Xiaoyi Liu, Diego Klabjan, Patrick N. Bless:
Data Extraction from Charts via Single Deep Neural Network. - Stephen Law, Mateo Neira:
Learning from Discovering: An unsupervised approach to Geographical Knowledge Discovery using street level and street network images. - Luna M. Zhang:
A New Compensatory Genetic Algorithm-Based Method for Effective Compressed Multi-function Convolutional Neural Network Model Selection with Multi-Objective Optimization. - Ra'Fat Al-Msie'deen:
Tag Clouds for Object-Oriented Source Code Visualization. - Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Kambiz Samadi, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh:
Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic. - Ghassan Samara:
An Improved CF-MAC Protocol for VANET. - Daniel Barath, Zuzana Kukelova:
Homography from two orientation- and scale-covariant features. - Wei He:
Invariant Detection with Program Verification Tools. - Ananya Poddar, Bharath Dandala, Murthy V. Devarakonda:
Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings. - Hussam Habib, Maaz Bin Musa, Fareed Zaffar, Rishab Nithyanand:
To Act or React: Investigating Proactive Strategies For Online Community Moderation. - Lisa Oakley, Alina Oprea:
Playing Adaptively Against Stealthy Opponents: A Reinforcement Learning Strategy for the FlipIt Security Game. - Md Johirul Islam, Hoan Anh Nguyen, Rangeet Pan, Hridesh Rajan:
What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow. - Oliver Richter, Roger Wattenhofer:
Quantile Regression Deep Reinforcement Learning. - Jianglin Fu, Ivan V. Bajic, Rodney G. Vaughan:
Datasets for Face and Object Detection in Fisheye Images. - Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Miguel Pino, Hassan Sajjad:
Findings of the First Shared Task on Machine Translation Robustness. - Hadrien Montanelli, Haizhao Yang:
Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem. - Mahdi H. Miraz, David C. Donald:
LApps: Technological, Legal and Market Potentials of Blockchain Lightning Network Applications. - Therese Biedl, Ahmad Biniaz, Anil Maheshwari, Saeed Mehrabi:
Packing Boundary-Anchored Rectangles and Squares. - Evan Racah, Christopher J. Pal:
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments. - Amir H. Abdi, Mehran Pesteie, Eitan Prisman, Purang Abolmaesumi, Sidney S. Fels:
Variational Mandible Shape Completion for Virtual Surgical Planning. - Khadija Zanna, Sayde King, Tempestt J. Neal, Shaun J. Canavan:
Studying the Impact of Mood on Identifying Smartphone Users. - Silvio Peroni, David M. Shotton:
OpenCitations. - Fairouz Beggas, Volker Turau, Mohammed Haddad, Hamamache Kheddouci:
[1, 2]-Domination in Generalized Petersen Graphs. - Nina Pardal, Guillermo Alfredo Durán, Luciano N. Grippo, Martín D. Safe:
On nested and 2-nested graphs: two subclasses of graphs between threshold and split graphs. - José Camacho, José Manuel García-Giménez, Noemí Marta Fuentes García, Gabriel Maciá-Fernández:
Multivariate Big Data Analysis for Intrusion Detection: 5 steps from the haystack to the needle. - Hanxiang Hao, David Güera, Amy R. Reibman, Edward J. Delp:
A Utility-Preserving GAN for Face Obscuration. - Ringo S. W. Chu, Ho-Cheung Ng, Xiwei Wang, Wayne Luk:
Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification. - Huu Le, Tuan Hoang, Michael Milford:
BTEL: A Binary Tree Encoding Approach for Visual Localization. - Valentin Hartmann, Robert West:
Privacy-Preserving Distributed Learning with Secret Gradient Descent. - Chaoyang He, Tian Xie, Yu Rong, Wen-bing Huang, Junzhou Huang, Xiang Ren, Cyrus Shahabi:
Adversarial Representation Learning on Large-Scale Bipartite Graphs. - Chaoyang He, Ming Li:
Efficient Spatial Anti-Aliasing Rendering for Line Joins on Vector Maps. - Francesco Fraternali:
Towards Large-Scale Autonomous Wireless Sensor Networks. - Sina Baharlouei, Maher Nouiehed, Meisam Razaviyayn:
Rényi Fair Inference. - Jianchao Bai, Junli Liang, Ke Guo, Yang Jing:
Accelerated Symmetric ADMM and Its Applications in Signal Processing. - Yansheng Wu, Jong Yoon Hyun, Qin Yue:
Binary optimal linear codes from posets of the disjoint union of two chains. - Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren:
Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage! - Zydrunas Gimbutas, Shidong Jiang, Li-Shi Luo:
Evaluation of Abramowitz functions in the right half of the complex plane. - Yi Tu, Li Niu, Dawei Cheng, Liqing Zhang:
ProtoNet: Learning from Web Data with Memory. - Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao:
A Neural-based Program Decompiler. - Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang:
Multi-Criteria Chinese Word Segmentation with Transformer. - Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram:
Analyzing GDPR Compliance Through the Lens of Privacy Policy. - Mihir Kale, Aditya Siddhant, Sreyashi Nag, Radhika Parik, Matthias Grabmair, Anthony Tomasic:
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks. - Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng:
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. - Jirí Motejlek, Esat Alpay:
A Taxonomy for Virtual and Augmented Reality in Education. - Bao Wang, Quanquan Gu, March Boedihardjo, Farzin Barekat, Stanley J. Osher:
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. - Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary, Soumik Sarkar:
Learning to Cope with Adversarial Attacks. - Günther Reitberger, Tomas Sauer:
Background Subtraction using Adaptive Singular Value Decomposition. - Pengfei Su, Qingsen Wang, Milind Chabbi, Xu Liu:
Pinpointing Performance Inefficiencies in Java. - Eva Vanmassenhove, Dimitar Sht. Shterionov, Andy Way:
Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation. - Yeow Meng Chee, Charles J. Colbourn, Hoang Dau, Ryan Gabrys, Alan C. H. Ling, Dylan Lusi, Olgica Milenkovic:
Access Balancing in Storage Systems by Labeling Partial Steiner Systems. - Nikos Melanitis, Petros Maragos:
A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences. - Stefan Stevsic, Tobias Naegeli, Javier Alonso-Mora, Otmar Hilliges:
Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors. - Xiaocan Li, Shuo Wang, Yinghao Cai:
FameSVD: Fast and Memory-efficient Singular Value Decomposition. - Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, Andreas Krause:
Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning. - Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li:
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. - Chao Shi:
Non-user Inclusive Design for Maintaining Harmony of Real-Virtual Human Interaction in Augmented Reality. - Nicolas Heist, Heiko Paulheim:
Uncovering the Semantics of Wikipedia Categories. - Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li:
Searching for Interaction Functions in Collaborative Filtering. - Kang-Hee Cho, Si-Hyeon Lee, Vincent Y. F. Tan:
Throughput Scaling of Covert Communication over Wireless Adhoc Networks. - Sidi Mohamed Beillahi, Ahmed Bouajjani, Constantin Enea:
Robustness Against Transactional Causal Consistency. - Sebastian Ertel, Justus Adam, Norman A. Rink, Andrés Goens, Jerónimo Castrillón:
Category-Theoretic Foundations of "STCLang: State Thread Composition as a Foundation for Monadic Dataflow Parallelism". - Xiang Xu, Jian Zhai:
Inversion of trace formulas for a Sturm-Liouville operator. - Hang Min, Devin Wilson, Yinhuang Huang, Samuel Kelly, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra:
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN. - Loveperteek Singh, Shreya Singh, Sagar Arora, Sumit Borar:
One Embedding To Do Them All. - Sajan Kedia, Manchit Madan, Sumit Borar:
Early Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce. - Masaki Waga:
Online Quantitative Timed Pattern Matching with Semiring-Valued Weighted Automata. - Swanand Kadhe, Jichan Chung, Kannan Ramchandran:
SeF: A Secure Fountain Architecture for Slashing Storage Costs in Blockchains. - Deok-Soo Kim, Joonghyun Ryu, Youngsong Cho, Mokwon Lee, Jehyun Cha, Chanyoung Song, Sangwha Kim, Roman A. Laskowski, Kokichi Sugihara, Jong Bhak, Seong Eon Ryu:
MGOS: A Library for Molecular Geometry and its Operating System. - M. Aiman Ismail, Thomas C. Schmidt:
A DTLS Abstraction Layer for the Recursive Networking Architecture in RIOT. - Natasha Fernandes, Lefki Kacem, Catuscia Palamidessi:
Utility-Preserving Privacy Mechanisms for Counting Queries. - Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Place recognition in gardens by learning visual representations: data set and benchmark analysis. - Janne P. Tamminen:
Detection of time-varying heat sources using an analytic forward model. - Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Xiaofei He:
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks. - Abhinav Ravi, Arun Patro, Vikram Garg, Anoop Kolar Rajagopal, Aruna Rajan, Rajdeep Hazra Banerjee:
Teaching DNNs to design fast fashion. - Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai:
Localizing Unseen Activities in Video via Image Query. - Anna Caroline Felix Santos de Jesus:
A study on Stokes-Brinkman dimensionless model for flow in porous media. - Vasile Patrascu:
Gray Level Image Threshold Using Neutrosophic Shannon Entropy. - Dilip Kumar Margam, Rohith Aralikatti, Tanay Sharma, Abhinav Thanda, Pujitha A. K, Sharad Roy, Shankar M. Venkatesan:
LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models. - Pascal Schneider, Raphael Memmesheimer, Ivanna Kramer, Dietrich Paulus:
Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping. - Joonhyun Jeong, Sung-Ho Bae:
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms. - Yongfei Li, Dongfang Yang, Shicheng Wang, Hao He:
Road-network-based Rapid Geolocalization. - Minh Tran, Taylan K. Sen, Kurtis Haut, Mohammad Rafayet Ali, Mohammed (Ehsan) Hoque:
Are you really looking at me? A Framework for Extracting Interpersonal Eye Gaze from Conventional Video. - Stephen Hausler, Adam Jacobson, Michael Milford:
Filter Early, Match Late: Improving Network-Based Visual Place Recognition. - Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb:
A multi-task U-net for segmentation with lazy labels. - Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao:
Reconstructing Perceived Images from Brain Activity by Visually-guided Cognitive Representation and Adversarial Learning. - Linan Huang, Quanyan Zhu:
Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Processes. - Daniel Brodeski, Igal Bilik, Raja Giryes:
Deep Radar Detector. - Ahmad Asadi, Reza Safabakhsh:
A Deep Decoder Structure Based on WordEmbedding Regression for An Encoder-Decoder Based Model for Image Captioning. - Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Joschka Boedecker, Andreas Krause:
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. - Marc Brockschmidt:
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation. - Emanuele Ghelfi, Paolo Galeone, Michele De Simoni, Federico Di Mattia:
Adversarial Pixel-Level Generation of Semantic Images. - Shahab Shamshirband, Anthony T. Chronopoulos:
A New Malware Detection System Using a High Performance-ELM method. - Mofreh R. Zaghloul:
Remark on Algorithm 680: evaluation of the complex error function: Cause and Remedy for the Loss of Accuracy Near the Real Axis. - Alessia Amelio, Giuseppe Mangioni, Andrea Tagarelli:
Modularity in Multilayer Networks using Redundancy-based Resolution and Projection-based Inter-Layer Coupling. - Martin Aumüller, Tobias Christiani, Rasmus Pagh, Michael Vesterli:
PUFFINN: Parameterless and Universally Fast FInding of Nearest Neighbors. - Norbert Bátfai, Dávid Papp, Gergo Bogacsovics, Máté Szabó, Viktor Szilárd Simkó, Márió Bersenszki, Gergely Szabó, Lajos Kovács, Ferencz Kovács, Erik Szilveszter Varga:
On the notion of number in humans and machines. - Mirko Pasquini, David Angeli:
On the robust existence of piecewise quadratic Lyapunov functions for hybrid models of gene regulatory networks. - Hung T. Nguyen, Xuejian Wang, Leman Akoglu:
Continual Rare-Class Recognition with Emerging Novel Subclasses. - Arno Pauly, Dongseong Seon, Martin Ziegler:
Computing Haar Measures. - Michael Fröwis, Thilo Gottschalk, Bernhard Haslhofer, Christian Rückert, Paulina Pesch:
Safeguarding the Evidential Value of Forensic Cryptocurrency Investigations. - Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark G. Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob:
Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection. - Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson:
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms. - Alberto Sonnino, George Danezis:
SybilQuorum: Open Distributed Ledgers Through Trust Networks. - Martin Tappler, Bernhard K. Aichernig, Giovanni Bacci, Maria Eichlseder, Kim G. Larsen:
L*-Based Learning of Markov Decision Processes (Extended Version). - Koen Pauwels, Georgios Karachalias, Michiel Derhaeg, Tom Schrijvers:
Bidirectional Type Class Instances (Extended Version). - Adam Amos-Binks, Dustin Dannenhauer:
Anticipatory Thinking: A Metacognitive Capability. - Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Adaptation and learning over networks under subspace constraints - Part II: Performance Analysis. - Anton Andreev, Grégoire Cattan, Marco Congedo:
Engineering study on the use of Head-Mounted display for Brain- Computer Interface. - Kelong Cheng, Cheng Wang, Steven M. Wise:
An Energy Stable BDF2 Fourier Pseudo-Spectral Numerical Scheme for the Square Phase Field Crystal Equation. - Yongqiang Huang, Yu Sun:
Accurate Robotic Pouring for Serving Drinks. - Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve:
Growing Action Spaces. - Daniel Zügner, Stephan Günnemann:
Certifiable Robustness and Robust Training for Graph Convolutional Networks. - Jiehua Chen:
Stable Matchings in Divorce Graphs. - Jin Xu, Natarajan Gautam:
Towards Assigning Priorities in Queues Using Age of Information. - Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization. - Yoojin Oh, Marc Toussaint, Jim Mainprice:
Learning Arbitration for Shared Autonomy by Hindsight Data Aggregation. - Fredrik Sandin, Mattias Nilsson:
Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors. - Ruming Zhang:
Numerical method for scattering problems in periodic waveguides. - Denis Emelin, Ivan Titov, Rico Sennrich:
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts. - David Meredith:
RECURSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translators. - Esther Galby, Paloma T. Lima, Bernard Ries:
Blocking dominating sets for $H$-free graphs via edge contractions. - Jason Li, Jesper Nederlof:
Detecting Feedback Vertex Sets of Size $k$ in $O^\star(2.7^k)$ Time. - André Nachbin:
Singular integration towards a spectrally accurate finite difference operator. - Ville Vakkuri, Kai-Kristian Kemell, Pekka Abrahamsson:
Implementing Ethics in AI: An industrial multiple case study. - Charlie Blake, Ian P. Gent:
The Winnability of Klondike and Many Other Single-Player Card Games. - Peter Elbau, Leonidas Mindrinos, Leopold Veselka:
Quantitative OCT reconstructions for dispersive media. - Ali Lenjani, Ilias Bilionis, Shirley Dyke, Chul Min Yeum, Ricardo Monteiro:
A Resilience-based Method for Prioritizing Post-event Building Inspections. - Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge J. Belongie, Bharath Hariharan:
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows. - Iman Tahamtan, Javad Seif:
The Online Resources Shared on Twitter About the #MeToo Movement: The Pareto Principle. - Arielle Moro, Vaibhav Kulkarni, Pierre-Adrien Ghiringhelli, Bertil Chapuis, Benoît Garbinato:
Breadcrumbs: A Feature Rich Mobility Dataset with Point of Interest Annotation. - Haiqian Gu, Jie Wang, Ziwen Wang, Bojin Zhuang, Fei Su:
Modeling of User Portrait Through Social Media. - Haiqian Gu, Jie Wang, Ziwen Wang, Bojin Zhuang, Wenhao Bian, Fei Su:
Cross-Platform Modeling of Users' Behavior on Social Media. - Jin Yeong Tan, Lawrence Ong, Behzad Asadi:
Can Marton Coding Alone Ensure Individual Secrecy? - Junhao Wang, Renhao Wang, Aayushi Kulshrestha, Reihaneh Rabbany:
Anomaly Detection with Joint Representation Learning of Content and Connection. - Haonan Lu, Seth H. Huang, Tian Ye, Xiuyan Guo:
Graph Star Net for Generalized Multi-Task Learning. - Devashish Khulbe, Manu Pathak:
Modeling Food Popularity Dependencies using Social Media data. - Telmo L. T. Menezes, Camille Roth:
Automatic Discovery of Families of Network Generative Processes. - Zhongxin Zhou, Fan Zhang, Xuemin Lin, Wenjie Zhang, Chen Chen:
K-Core Maximization through Edge Additions. - Wenjie Zhu, Mengqi Zhang, Chen Chen, Xiaoyang Wang, Fan Zhang, Xuemin Lin:
Critical Edge Identification: A K-Truss Based Model. - Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon:
Deep Sketch-Based Modeling of Man-Made Shapes. - Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Alex Beigh, Scott Douglass:
High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons. - Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song:
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty. - Lei Xu, Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni:
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data. - Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi:
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. - Dali Wang, Zheng Lu, Zhirong Bao:
Augmenting C. elegans Microscopic Dataset for Accelerated Pattern Recognition. - Anik Chattopadhyay, Arunava Banerjee:
Signal Coding and Perfect Reconstruction using Spike Trains. - Hao Liao, Xing-Tong Wu, Ming-Yang Zhou, Chi Ho Yeung:
Learning the optimally coordinated routes from the statistical mechanics of polymers. - S. Cliff Liu:
Lower Bounds for Small Ramsey Numbers on Hypergraphs. - Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg:
Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction. - Mohammed E. Eltayeb:
Relay-Aided Channel Estimation for mmWave Systems with Imperfect Antenna Arrays. - Kelvin Hsu, Fabio Ramos:
Bayesian Deconditional Kernel Mean Embeddings. - Boris Landa, Yoel Shkolnisky:
Multi-reference factor analysis: low-rank covariance estimation under unknown translations. - Fanda Fan, Yunyou Huang, Lei Wang, Xingwang Xiong, Zihan Jiang, Zhifei Zhang, Jianfeng Zhan:
A Semantic-based Medical Image Fusion Approach. - Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt:
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. - Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes:
Disentangling Improves VAEs' Robustness to Adversarial Attacks. - Jason L. Causey, Yuanfang Guan, Wei Dong, Karl Walker, Jake A. Qualls, Fred W. Prior, Xiuzhen Huang:
Lung cancer screening with low-dose CT scans using a deep learning approach. - Vishal Gupta, Nathan Kallus:
Data-Pooling in Stochastic Optimization. - Paige Randall North:
Type-theoretic weak factorization systems. - Benoit Brummer, Christophe De Vleeschouwer:
Natural Image Noise Dataset. - Erdem Varol, Amin Nejatbakhsh:
Robust approximate linear regression without correspondence. - Nathan Kallus, Xiaojie Mao, Angela Zhou:
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination. - Kurtis Evan David, Harrison Keane, Jun Min Noh:
GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models. - Jisheng Dai, An Liu, Hing Cheung So:
Sparse Bayesian Learning Approach for Discrete Signal Reconstruction. - Akash Srivastava, Kristjan H. Greenewald, Farzaneh Mirzazadeh:
BreGMN: scaled-Bregman Generative Modeling Networks. - Lewin Stein, Jörn Sesterhenn:
An acoustic model of a Helmholtz resonator under a grazing turbulent boundary layer. - Martín D. Safe:
Circularly compatible ones, D-circularity, and proper circular-arc bigraphs. - Bin Cheng, Man-Hong Yung:
Ubiquitous Complexity of Entanglement Spectra. - Wei Chen, Hythem Sidky, Andrew L. Ferguson:
Capabilities and Limitations of Time-lagged Autoencoders for Slow Mode Discovery in Dynamical Systems. - Anri Mutoh, Masamichi Wada, Kou Amano:
Comprehensive cluster validity Index based on structural simplicity. - Yehong Liu, Guosheng Yin:
Nonparametric Functional Approximation with Delaunay Triangulation. - Jelena Diakonikolas, Michael I. Jordan:
Generalized Momentum-Based Methods: A Hamiltonian Perspective. - Seyed Amir Alavi, Mehrnaz Javadipour, Kamyar Mehran:
State Monitoring for Situational Awareness in Rural Microgrids Using the IoT Infrastructure. - Yishai Shimoni, Ehud Karavani, Sivan Ravid, Peter Bak, Tan Hung Ng, Sharon Hensley Alford, Denise Meade, Yaara Goldschmidt:
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference. - Omar Shehab, Isaac H. Kim, Nhung Hong Nguyen, Kevin A. Landsman, Cinthia Huerta Alderete, Daiwei Zhu, Christopher R. Monroe, Norbert Matthias Linke:
Noise reduction using past causal cones in variational quantum algorithms. - Soumendu Sundar Mukherjee, Sayak Chakrabarti:
Graphon Estimation from Partially Observed Network Data. - Tianle Ma, Aidong Zhang:
Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning. - Sumeet Katariya, Ardhendu Tripathy, Robert D. Nowak:
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking. - Xian Zhou, Yanyan Shen, Linpeng Huang:
Revisiting Flow Information for Traffic Prediction. - Andrew McLeod:
Evaluating Non-aligned Musical Score Transcriptions with MV2H. - Juan Jose Garau Luis, Markus Guerster, Iñigo del Portillo, Edward F. Crawley, Bruce G. Cameron:
Deep Reinforcement Learning Architecture for Continuous Power Allocation in High Throughput Satellites. - Jiang Zhu, Chao-Kai Wen, Jun Tong, Chongbin Xu, Shi Jin:
Gridless Variational Bayesian Channel Estimation for Antenna Array Systems with Low Resolution ADCs. - Chaobing Song, Yi Ma:
Towards Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity. - Meead Saberi, Mudabber Ashfaq, Homayoun Hamedmoghadam, Seyed Amir Hosseini, Ziyuan Gu, Sajjad Shafiei, Divya Jayakumar Nair, Vinayak V. Dixit, Lauren Gardner, S. Travis Waller, Marta C. González:
A simple contagion process describes spreading of traffic jams in urban networks. - Xianfu Chen, Celimuge Wu, Honggang Zhang, Yan Zhang, Mehdi Bennis, Heli Vuojala:
Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications. - Alexander Krull, Tomás Vicar, Florian Jug:
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. - Gabriel C. Drummond-Cole:
Betti numbers of unordered configuration spaces of small graphs. - Benjamin Chasnov, Lillian J. Ratliff, Eric Mazumdar, Samuel A. Burden:
Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings. - Ophir Gozes, Hayit Greenspan:
Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset. - Yaniv Blumenfeld, Dar Gilboa, Daniel Soudry:
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off. - Payam Ghassemi, Sumeet Sanjay Lulekar, Souma Chowdhury:
Adaptive Model Refinement with Batch Bayesian Sampling for Optimization of Bio-inspired Flow Tailoring. - Manuel Haußmann, Sebastian Gerwinn, Melih Kandemir:
Bayesian Prior Networks with PAC Training. - Vladimir V. Kornyak:
An Algorithm for Computing Invariant Projectors in Representations of Wreath Products. - Gavin Gray, Elliot J. Crowley, Amos J. Storkey:
Separable Layers Enable Structured Efficient Linear Substitutions. - Luca De Feo, Hugues Randriam, Édouard Rousseau:
Standard Lattices of Compatibly Embedded Finite Fields. - Wenqi Lu, Jinming Duan, Joshua Deepak Veesa, Iain B. Styles:
A new nonlocal forward model for diffuse optical tomography. - Benjamin James Lansdell, Prashanth Ravi Prakash, Konrad Paul Körding:
Learning to solve the credit assignment problem. - Boris Hanin, David Rolnick:
Deep ReLU Networks Have Surprisingly Few Activation Patterns. - Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle:
Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control. - Anuj Dawar, Danny Vagnozzi:
Generalizations of k-Weisfeiler-Leman partitions and related graph invariants. - Aqib Hasnain, Nibodh Boddupalli, Enoch Yeung:
Optimal reporter placement in sparsely measured genetic networks using the Koopman operator. - Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Aleksander Madry:
Learning Perceptually-Aligned Representations via Adversarial Robustness. - Vishal K. Doltani, Fahim Aziz Umrani, Riaz A. Soomro:
Efficient Nano Antenna for Photonic Devices. - Niklas W. A. Gebauer, Michael Gastegger, Kristof T. Schütt:
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules. - Sumita Mishra, Naresh Kumar Chaudhary, Pallavi Asthana, Anil Kumar:
Deep 3D Convolutional Neural Network for Automated Lung Cancer Diagnosis. - Azim Ahmadzadeh, Dustin J. Kempton, Rafal A. Angryk:
A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission. - Yuzhen Qin, Yu Kawano, Oscar Portoles, Ming Cao:
Partial Phase Cohesiveness in Networks of Kuramoto Oscillator Networks. - Jyun-Yi Wu, Cheng Yu, Szu-Wei Fu, Chih-Ting Liu, Shao-Yi Chien, Yu Tsao:
Increasing Compactness Of Deep Learning Based Speech Enhancement Models With Parameter Pruning And Quantization Techniques. - Tingran Gao, Yifeng Fan, Zhizhen Zhao:
Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy. - Sean Vasquez, Mike Lewis:
MelNet: A Generative Model for Audio in the Frequency Domain. - Cecilia Jarne, Rodrigo Laje:
A detailed study of recurrent neural networks used to model tasks in the cerebral cortex. - Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin:
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. - Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts:
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. - François P. Landes, Giulio Biroli, Olivier Dauchot, Andrea J. Liu, David R. Reichman:
Attractive vs. truncated repulsive supercooled liquids : dynamics is encoded in the pair correlation function. - Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil:
Proximal Point Approximations Achieving a Convergence Rate of O(1/k) for Smooth Convex-Concave Saddle Point Problems: Optimistic Gradient and Extra-gradient Methods. - Andreas Groll, Christophe Ley, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis:
Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019. - Ji Xu, Daniel Hsu:
How many variables should be entered in a principal component regression equation? - David A. Rower, Misha Padidar, Paul J. Atzberger:
Surface Fluctuating Hydrodynamics Methods for the Drift-Diffusion Dynamics of Particles and Microstructures within Curved Fluid Interfaces. - Andrei Kulunchakov, Julien Mairal:
A Generic Acceleration Framework for Stochastic Composite Optimization. - Kodai Shiba, Katsuyoshi Sakamoto, Koichi Yamaguchi, Dinesh Bahadur Malla, Tomah Sogabe:
Convolution filter embedded quantum gate autoencoder. - Feng Zhang, Wendong Wang, Jingyao Hou, Jianjun Wang, Jianwen Huang:
Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles. - Stewart N. Ethier, Jiyeon Lee:
Snackjack: A toy model of blackjack. - Trevor Campbell, Xinglong Li:
Universal Boosting Variational Inference. - Michael P. J. Camilleri, Christopher K. I. Williams:
The Extended Dawid-Skene Model: Fusing Information from Multiple Data Schemas. - Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu:
Learning Deep Image Priors for Blind Image Denoising. - Xavier Renard, Nicolas Woloszko, Jonathan Aigrain, Marcin Detyniecki:
Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees. - Zhongling Huang, Zongxu Pan, Bin Lei:
What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs. - Ville Vestman, Tomi Kinnunen, Rosa González Hautamäki, Md. Sahidullah:
Voice Mimicry Attacks Assisted by Automatic Speaker Verification. - Truc Le, Jeffrey Uhlmann:
Gap-Measure Tests with Applications to Data Integrity Verification. - Mishal Assif P. K., Debasish Chatterjee, Ravi N. Banavar:
Scenario approach for minmax optimization with emphasis on the nonconvex case: positive results and caveats. - Laura Thesing, Vegard Antun, Anders C. Hansen:
What do AI algorithms actually learn? - On false structures in deep learning. - Francisco Belchí Guillamón, Jacek Brodzki, Matthew Burfitt, Mahesan Niranjan:
A numerical measure of the instability of Mapper-type algorithms. - Benjamin Blanchette:
Quasi-automatic groups are asynchronously automatic. - Raul Astudillo, Peter I. Frazier:
Bayesian Optimization of Composite Functions. - Yuan Zhao, Josue Nassar, Ian D. Jordan, Mónica F. Bugallo, Il Memming Park:
Streaming Variational Monte Carlo. - Scott Yak, Javier Gonzalvo, Hanna Mazzawi:
Towards Task and Architecture-Independent Generalization Gap Predictors. - Nathan Kallus, Angela Zhou:
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds. - Kuang Huang, Xuan Di, Qiang Du, Xi Chen:
Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach. - Jack Umenberger, Mina Ferizbegovic, Thomas B. Schön, Håkan Hjalmarsson:
Robust exploration in linear quadratic reinforcement learning. - Mahdi Shamsi, Mahmoud Ghandi, Farokh Marvasti:
A Nonlinear Acceleration Method for Iterative Algorithms. - Brian Bullins, Richard Peng:
Higher-Order Accelerated Methods for Faster Non-Smooth Optimization. - Andrés Santamaría-Galvis, Russ Woodroofe:
Shellings from relative shellings, with an application to NP-completeness. - Andreas Brink-Kjaer, Alexander Neergaard Olesen, Paul E. Peppard, Katie L. Stone, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Automatic Detection of Cortical Arousals in Sleep and their Contribution to Daytime Sleepiness. - Krishan Kumar Tiwari, Vladica Sark, Eckhard Grass, Rolf Kraemer:
Monopulse-based THz Beam Tracking for Indoor Virtual Reality Applications. - Alexander Cowtan, Silas Dilkes, Ross Duncan, Will Simmons, Seyon Sivarajah:
Phase Gadget Synthesis for Shallow Circuits. 213-228 - Louis Capitaine, Robin Genuer, Rodolphe Thiébaut:
Fréchet random forests. - Silvère Gangloff, Alonso Herrera, Cristobal Rojas, Mathieu Sablik:
On the computability properties of topological entropy: a general approach. - Haofu Liao, Wei-An Lin, Jianbo Yuan, Shaohua Kevin Zhou, Jiebo Luo:
Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction. - Jinho Choi:
Opportunistic NOMA-based Low-Latency Uplink Transmissions. - Egor Kraev, Mark Harley:
Probabilistic hypergraph grammars for efficient molecular optimization. - Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón:
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation. - Onur Çagirici, Petr Hlinený, Bodhayan Roy:
On Colourability of Polygon Visibility Graphs. - Stephan Rasp, Hauke Schulz, Sandrine Bony, Bjorn Stevens:
Combining crowd-sourcing and deep learning to understand meso-scale organization of shallow convection. - Hanqing Wang, Alva Kosasih, Chao-Kai Wen, Shi Jin, Wibowo Hardjawana:
Expectation Propagation Detector for Extra-Large Scale Massive MIMO. - Di Wang, Qi Wu, Wen Zhang:
Neural Learning of Online Consumer Credit Risk. - Mohammad Emtiyaz Khan, Alexander Immer, Ehsan Abedi, Maciej Korzepa:
Approximate Inference Turns Deep Networks into Gaussian Processes. - Yasuhito Tanaka:
Dynamic monopolistic competition with sluggish adjustment of entry and exit. - Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida:
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets. - Qi Wu, Shumin Ma, Cheuk Hang Leung, Wei Liu:
Understanding Distributional Ambiguity via Non-robust Chance Constraint. - Paulin Jacquot, Cheng Wan:
Nonatomic Aggregative Games with Infinitely Many Types. - Jacob D. Abernethy, Kevin A. Lai, Andre Wibisono:
Last-iterate convergence rates for min-max optimization. - Yu Chen, Yuexiang Li, Jiawei Chen, Yefeng Zheng:
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. - Behnam Sherafat, Abbas Rashidi, Yong-Cheol Lee, Changbum R. Ahn:
Automated Activity Recognition of Construction Equipment Using a Data Fusion Approach. - Danica J. Sutherland:
Unbiased estimators for the variance of MMD estimators. - Pingchuan Ma, Stavros Petridis, Maja Pantic:
Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition. - Claudia Shi, David M. Blei, Victor Veitch:
Adapting Neural Networks for the Estimation of Treatment Effects. - Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios:
Cubic-Spline Flows. - Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin:
Syntax-Infused Variational Autoencoder for Text Generation. - Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab:
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation. - Pooya Ronagh:
Quantum Algorithms for Solving Dynamic Programming Problems. - Jean-Francois Ton, Lucian Chan, Yee Whye Teh, Dino Sejdinovic:
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings. - Yun Zhao, Elmer Guzman, Morgane Audouard, Zhuowei Cheng, Paul K. Hansma, Kenneth S. Kosik, Linda R. Petzold:
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings. - Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon:
Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior. - Martin Zlocha, Qi Dou, Ben Glocker:
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels. - Svitlana Vyetrenko, Shaojie Xu:
Risk-Sensitive Compact Decision Trees for Autonomous Execution in Presence of Simulated Market Response. - Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler:
Improved low-count quantitative PET reconstruction with a variational neural network. - J. J. Benjamin Biemond, Romain Postoyan, W. P. M. H. Heemels, Nathan van de Wouw:
On the graphical stability of hybrid solutions with non-matching jump times: Extended Paper. - Devansh Arpit, Victor Campos, Yoshua Bengio:
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets. - Agostina J. Larrazabal, César Ernesto Martínez, Enzo Ferrante:
Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders. - Alwin Zulehner, Philipp Niemann, Rolf Drechsler, Robert Wille:
One Additional Qubit is Enough: Encoded Embeddings for Boolean Components in Quantum Circuits. - Qurrat-Ul-Ain Nadeem, Abla Kammoun, Anas Chaaban, Mérouane Debbah, Mohamed-Slim Alouini:
Intelligent Reflecting Surface Assisted Wireless Communication: Modeling and Channel Estimation. - Debraj Basu, Deepesh Data, Can Karakus, Suhas N. Diggavi:
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations. - Linning Xu, Feng Yin, Jiawei Zhang, Zhi-Quan Luo, Shuguang Cui:
A General O(n2) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM. - Tao Song:
Generative Model-Based Ischemic Stroke Lesion Segmentation. - Daniel O'Malley, John K. Golden, Velimir V. Vesselinov:
Learning to regularize with a variational autoencoder for hydrologic inverse analysis. - Alexander Terenin, Måns Magnusson, Leif Jonsson:
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models. - Cho-Ying Wu, Ulrich Neumann:
Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing. - Cho-Ying Wu, Jian-Jiun Ding:
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction. - Taisuke Izumi, François Le Gall:
Quantum Distributed Algorithm for the All-Pairs Shortest Path Problem in the CONGEST-CLIQUE Model. - Qiulei Dong, Bo Liu, Zhanyi Hu:
Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN). - Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng:
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. - Kazuki Osawa, Siddharth Swaroop, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota, Mohammad Emtiyaz Khan:
Practical Deep Learning with Bayesian Principles. - Supriyo Dutta, Partha Guha:
Ihara Zeta Entropy. - Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, David Sculley, Sebastian Nowozin, Joshua V. Dillon, Balaji Lakshminarayanan, Jasper Snoek:
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift. - Cian M. Scannell, Amedeo Chiribiri, Adriana D. M. Villa, Marcel Breeuwer, Jack Lee:
Hierarchical Bayesian myocardial perfusion quantification. - Victor Garcia Satorras, Zeynep Akata, Max Welling:
Combining Generative and Discriminative Models for Hybrid Inference. - Dena J. Clink, Holger Klinck:
GIBBONR: An R package for the detection and classification of acoustic signals using machine learning. - Lukas Beckenbach, Pavel Osinenko, Stefan Streif:
Model predictive control with stage cost shaping inspired by reinforcement learning. - Benyamin Ghojogh, Mark Crowley:
Linear and Quadratic Discriminant Analysis: Tutorial. - Sascha Kurz:
The [46, 9, 20]2 code is unique. - Yan Shi, Dezhi Feng, Subir Biswas:
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks. - Andrei Velichko:
A method for the classification of chimera states of coupled oscillators and its application for creating a neural network information converter. - Johannes Kirschner, Andreas Krause:
Stochastic Bandits with Context Distributions. - Brian Thompson, Dave Cedel, Jeremy Martin, Peter Y. A. Ryan, Sarah Kern:
Fusion of Mobile Device Signal Data Attributes Enables Multi-Protocol Entity Resolution and Enhanced Large-Scale Tracking. - David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann:
Manifold-regression to predict from MEG/EEG brain signals without source modeling. - Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu:
A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent. - Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates:
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization. - Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen:
Residual Flows for Invertible Generative Modeling. - Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang:
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach. - Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi:
Ranking and synchronization from pairwise measurements via SVD. - Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos:
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. - Chin-Teng Lin, Yu-Ting Liu, Chun-Hsiang Chuang, Nikhil R. Pal, Yang-Yin Lin, Tsung-Yu Hsieh, Chieh-Ning Fang, Zehong Cao:
An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. - Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian:
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. - Flavio Abreu Araujo, Mathieu Riou, Jacob Torrejon, Sumito Tsunegi, Damien Querlioz, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles, Julie Grollier:
Role of non-linear data processing on speech recognition task in the framework of reservoir computing. - Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu:
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. - Mark Bun, Thomas Steinke:
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation. - Benjamin Blanchette, Christian Choffrut, Christophe Reutenauer:
Quasi-automatic semigroups. - Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, Balaji Lakshminarayanan:
Likelihood Ratios for Out-of-Distribution Detection. - Nicholas O. Ralph, Ray P. Norris, Gu Fang, Laurence A. F. Park, Timothy J. Galvin, Matthew J. Alger, Heinz Andernach, Chris J. Lintott, Lawrence Rudnick, Stanislav Shabala, O. Ivy Wong:
Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images. - Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Graph Embedding based Wireless Link Scheduling with Few Training Samples. - Hayden S. Helm, Joshua T. Vogelstein, Carey E. Priebe:
Vertex Classification on Weighted Networks. - Zaghloul Saad Zaghloul, Magdy A. Bayoumi:
Early Prediction of Epilepsy Seizures VLSI BCI System. - Yizhe Zhang, Michael T. C. Ying, Danny Z. Chen:
Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images. - T. Tony Cai, Hongji Wei:
Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier. - Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt:
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations. - Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks. - Chonho Lee, Chihiro Tanikawa, Jae-Yeon Lim, Takashi Yamashiro:
Deep Learning based Cephalometric Landmark Identification using Landmark-dependent Multi-scale Patches. - José Licón-Saláiz, Cedrick Ansorge:
Topological descriptors of spatial coherence in a convective boundary layer. - Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Balaji Lakshminarayanan:
Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality. - Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. - Yang-Wen Sun, Katerina Papagiannouli, Vladimir G. Spokoiny:
Online Graph-Based Change-Point Detection for High Dimensional Data. - Pol Henarejos, Miguel Ángel Vázquez, Ana Isabel Pérez-Neira:
Deep Learning For Experimental Hybrid Terrestrial and Satellite Interference Management. - Maria I. Gorinova, Dave Moore, Matthew D. Hoffman:
Automatic Reparameterisation of Probabilistic Programs. - Michael Allan Ribers, Hannes Ullrich:
Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing? - Antti Koskela, Joonas Jälkö, Antti Honkela:
Computing Exact Guarantees for Differential Privacy. - Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. - Vishal Agarwal, N. Jayanth Kumar Reddy, Ashish Anand:
Unsupervised Representation Learning of DNA Sequences. - Matthieu Bellucci, Luis Miralles, Muhammad Atif Qureshi, Brian Mac Namee:
ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling. - Waldyn G. Martinez, J. Brian Gray:
On the Current State of Research in Explaining Ensemble Performance Using Margins. - Benyamin Ghojogh, Mark Crowley:
Unsupervised and Supervised Principal Component Analysis: Tutorial. - Tiarnan D. Keenan, Shazia Dharssi, Yifan Peng, Qingyu Chen, Elvira Agrón, Wai T. Wong, Zhiyong Lu, Emily Y. Chew:
A deep learning approach for automated detection of geographic atrophy from color fundus photographs. - Virginia Aglietti, Edwin V. Bonilla, Theodoros Damoulas, Sally Cripps:
Structured Variational Inference in Continuous Cox Process Models. - Taylor W. Killian, Justin A. Goodwin, Olivia M. Brown, Sung-Hyun Son:
Kernelized Capsule Networks. - Jinzhi Lin, Shengzhong Feng, Zhile Yang, Yun Zhang, Yong Zhang:
A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access. - Amir Karami, Mehdi Ghasemi, Souvik Sen, Marcos Moraes, Vishal Shah:
Exploring Diseases and Syndromes in Neurology Case Reports from 1955 to 2017 with Text Mining. - Thomas L. Carroll:
Mutual Information and the Edge of Chaos in Reservoir Computers. - Dexiong Chen, Laurent Jacob, Julien Mairal:
Recurrent Kernel Networks. - Brandon Da Silva, Sylvie Shang Shi:
Towards Improved Generalization in Financial Markets with Synthetic Data Generation. - Jarek Duda:
Parametric context adaptive Laplace distribution for multimedia compression. - Waldyn G. Martinez:
Ensemble Pruning via Margin Maximization. - Ðorðe Miladinovic, Muhammad Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer:
Disentangled State Space Representations. - Nicki Skafte Detlefsen, Martin Jørgensen, Søren Hauberg:
Reliable training and estimation of variance networks. - Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern:
Effectiveness of Equalized Odds for Fair Classification under Imperfect Group Information. - Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy:
Adaptive Nonparametric Variational Autoencoder. - Muhammad Waleed Gondal, Manuel Wüthrich, Ðorðe Miladinovic, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer:
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset. - Sandra Johnson, Peter Robinson, Kishore Atreya, Claudio Lisco:
Invoice Financing of Supply Chains with Blockchain technology and Artificial Intelligence. - Jiawei Zhang:
Secrets of the Brain: An Introduction to the Brain Anatomical Structure and Biological Function. - Saied Mahdian, Jose H. Blanchet, Peter W. Glynn:
Optimal Transport Relaxations with Application to Wasserstein GANs. - Stephen L. Keeley, David M. Zoltowski, Yiyi Yu, Jacob L. Yates, Spencer L. Smith, Jonathan W. Pillow:
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations. - Trevor Campbell, Boyan Beronov:
Sparse Variational Inference: Bayesian Coresets from Scratch. - Xiao Hui Tai, Kayla Frisoli:
Benchmarking Minimax Linkage. - Galit Shmueli:
Lift Up and Act! Classifier Performance in Resource-Constrained Applications. - Li Dai, Dianlong YU, Zheng Xie:
On the Leaders' Graphical Characterization for Controllability of Path Related Graphs. - Sensong An, Clayton Fowler, Bowen Zheng, Mikhail Y. Shalaginov, Hong Tang, Hang Li, Li Zhou, Jun Ding, Anuradha Murthy Agarwal, Clara Rivero-Baleine, Kathleen A. Richardson, Tian Gu, Juejun Hu, Hualiang Zhang:
A Novel Modeling Approach for All-Dielectric Metasurfaces Using Deep Neural Networks. - Dan-Bo Zhang, Shi-Liang Zhu, Z. D. Wang:
Physical implementation of quantum nonparametric learning with trapped ions. - Mythreya Vinnakota, M. Ramakrishna:
Modified symmetry technique for mitigation of flow leak near corners for compressible inviscid fluid flow. - Mahsa Khodakhah, Nahid Ardalani:
Resource Management optimally in Non-Orthogonal Multiple Access Networks for fifth-generation by using game-theoretic. - Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian:
3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection. - Michal Walicki, Sjur K. Dyrkolbotn:
Paraconsistency, resolution and relevance. - Patrick Hall:
Guidelines for Responsible and Human-Centered Use of Explainable Machine Learning. - Qian Qian, Xiaoyuan Qian:
The Implicit Bias of AdaGrad on Separable Data. - Kiran Koshy Thekumparampil, Sewoong Oh, Ashish Khetan:
Robust conditional GANs under missing or uncertain labels. - Paul Grigas, Alfonso Lobos, Nathan Vermeersch:
Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training. - Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao:
Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification. - Sergey Guminov, Pavel E. Dvurechensky, Alexander V. Gasnikov:
Accelerated Alternating Minimization. - Seyed Amir Alavi, Kamyar Mehran, Yang Hao, Ardavan Rahimian, Hamed Mirsaeedi, Vahid Vahidinasab:
A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks. - Dufan Wu, Kuang Gong, Kyung Sang Kim, Quanzheng Li:
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. - Kirill Neklyudov, Evgenii Egorov, Dmitry P. Vetrov:
The Implicit Metropolis-Hastings Algorithm. - Jing Zhao, Jingjing Fei, Shiliang Sun:
A Variant of Gaussian Process Dynamical Systems. - Ke-Ke Shang, Michael Small, Di Yin, Yan Wang, Tong-chen Li:
The key to the weak-ties phenomenon. - Xiangrui Li, Jasmine L. Hect, Moriah E. Thomason, Dongxiao Zhu:
Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI using Deep 3D Convolutional Neural Networks. - Mateusz Buda, Ashirbani Saha, Maciej A. Mazurowski:
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. - Jun Young Park, Eric F. Lock:
Integrative Factorization of Bidimensionally Linked Matrices. - Fariborz Salehi, Ehsan Abbasi, Babak Hassibi:
The Impact of Regularization on High-dimensional Logistic Regression. - Jiangning Chen, Zhibo Dai, Juntao Duan, Qianli Hu, Ruilin Li, Heinrich Matzinger, Ionel Popescu, Haoyan Zhai:
A cost-reducing partial labeling estimator in text classification problem. - Yi Hao, Alon Orlitsky:
The Broad Optimality of Profile Maximum Likelihood. - Yuchen Zeng, Miaoyan Wang:
Multiway clustering via tensor block models. - Michael McCourt, Ian Dewancker:
Sampling Humans for Optimizing Preferences in Coloring Artwork. - Yi Wei, Ming-Min Zhao, Minjian Zhao, Ming Lei:
Learned Conjugate Gradient Descent Network for Massive MIMO Detection. - Filipe Rodrigues, Nicola Ortelli, Michel Bierlaire, Francisco C. Pereira:
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models. - Chihiro Watanabe, Taiji Suzuki:
Goodness-of-fit Test for Latent Block Models. - Martin Balko, David Chodounský, Jan Hubicka, Matej Konecný, Lluís Vena:
Big Ramsey degrees of 3-uniform hypergraphs. - Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. - Yuwei Fan, Lexing Ying:
Solving Electrical Impedance Tomography with Deep Learning. - Kris Y. Hong, Pedro O. Pinheiro, Scott Weichenthal:
Predicting Global Variations in Outdoor PM2.5 Concentrations using Satellite Images and Deep Convolutional Neural Networks. - David Reber, Benjamin Z. Webb:
Intrinsic Stability: Global Stability of Dynamical Networks and Switched Systems Resilient to any Type of Time-Delays. - Brandon M. Anderson, Truong-Son Hy, Risi Kondor:
Cormorant: Covariant Molecular Neural Networks. - Mauricio E. Tano, Jean C. Ragusa:
Acceleration of Radiation Transport Solves Using Artificial Neural Networks. - Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios:
Neural Spline Flows. - Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu:
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. - Vishwa S. Parekh, John Laterra, Chetan Bettegowda, Alex E. Bocchieri, Jay J. Pillai, Michael A. Jacobs:
Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results. - Waldyn G. Martinez, J. Brian Gray:
On the Insufficiency of the Large Margins Theory in Explaining the Performance of Ensemble Methods. - Wesley Tansey, Christopher Tosh, David M. Blei:
Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices. - Ly Van Nguyen, Duy T. Ngo, Nghi H. Tran, A. Lee Swindlehurst, Duy H. N. Nguyen:
Supervised and Semi-Supervised Learning for MIMO Blind Detection with Low-Resolution ADCs. - Patryk Mikos:
Efficient enumeration of non-isomorphic interval graphs. - Dirk Tasche:
Confidence intervals for class prevalences under prior probability shift. - Mowen Lu, Sandra D. Eksioglu, Scott J. Mason, Russell Bent, Harsha Nagarajan:
Distributionally Robust Optimization for a Resilient Transmission Grid During Geomagnetic Disturbances. - Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan:
Inference and Uncertainty Quantification for Noisy Matrix Completion. - Mariusz Kubkowski, Jan Mielniczuk:
Selection consistency of Lasso-based procedures for misspecified high-dimensional binary model and random regressors. - Nishad Maskara, Abhinav Deshpande, Minh C. Tran, Adam Ehrenberg, Bill Fefferman, Alexey V. Gorshkov:
Complexity phase diagram for interacting and long-range bosonic Hamiltonians. - Yi Ren Fung, Ziqiang Guan, Ritesh Kumar, Yeahuay Joie Wu, Madalina Fiterau:
Alzheimer's Disease Brain MRI Classification: Challenges and Insights. - Mohammad Hamed Mozaffari, Won-Sook Lee:
BowNet: Dilated Convolution Neural Network for Ultrasound Tongue Contour Extraction. - Zack Hodari, Oliver Watts, Simon King:
Using generative modelling to produce varied intonation for speech synthesis. - Ronald Orozco López:
Schur ring and Codes for S-subgroups over Z2n. - Mehdi Safarpour, Ilkka Hautala, Miguel Bordallo López, Olli Silvén:
Transport Triggered Array Processor for Vision Applications. - Naoki Masuda, Masaki Ogura, Victor M. Preciado:
Analysis of the susceptible-infected-susceptible epidemic dynamics in networks via the non-backtracking matrix. - Gábor Lugosi, Shahar Mendelson:
Mean estimation and regression under heavy-tailed distributions-a survey. - Angel Beltre, Shehtab Zaman, Kenneth Chiu, Sudhakar Pamidighantam, Xingye Qiao, Madhusudhan Govindaraju:
Towards Run Time Estimation of the Gaussian Chemistry Code for SEAGrid Science Gateway. - Marco Paul E. Apolinario, Samuel Huaman Bustamante, Giorgio Morales, Joel Telles, Daniel Díaz:
Estimation of 2D Velocity Model using Acoustic Signals and Convolutional Neural Networks. - Chris Criscitiello, Nicolas Boumal:
Efficiently escaping saddle points on manifolds. - Omar Sultan Al-Kadi:
Multiscale Nakagami parametric imaging for improved liver tumor localization. - Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga:
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation. - Shanshan Wang, Huitao Cheng, Leslie Ying, Taohui Xiao, Ziwen Ke, Xin Liu, Hairong Zheng, Dong Liang:
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution. - SaiDhiraj Amuru:
Beam Learning - Using Machine Learning for Finding Beam Directions. - Michael Arbel, Anna Korba, Adil Salim, Arthur Gretton:
Maximum Mean Discrepancy Gradient Flow. - Yitian Chen, Yanfei Kang, Yixiong Chen, Zizhuo Wang:
Probabilistic Forecasting with Temporal Convolutional Neural Network. - Kentaro Tamura, Yutaka Shikano:
Quantum Random Numbers generated by the Cloud Superconducting Quantum Computer. - Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum:
Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis. - Giampaolo Ferraioli, Vito Pascazio, Sergio Vitale:
A Novel Cost Function for Despeckling using Convolutional Neural Networks. - Stefan Scholl:
Classification of Radio Signals and HF Transmission Modes with Deep Learning. - Remie Janssen, Jonathan Klawitter:
Rearrangement operations on unrooted phylogenetic networks. - Théophile Griveau-Billion, Ben Calderhead:
Efficient structure learning with automatic sparsity selection for causal graph processes. - Giuseppe Di Molfetta, Pablo Arrighi:
A quantum walk with both a continuous-time and a continuous-spacetime limit. - Victor Chepoi, Kolja Knauer, Manon Philibert:
Two-dimensional partial cubes. - Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin, Sanjay Singh Bora:
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables. - Kimia Nadjahi, Alain Durmus, Umut Simsekli, Roland Badeau:
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance. - Julien Launay, Iacopo Poli, Florent Krzakala:
Principled Training of Neural Networks with Direct Feedback Alignment. - John Palmore Jr., Olivier Desjardins:
A volume of fluid framework for interface-resolved simulations of vaporizing liquid-gas flows. - Mark He, Joseph Glasser, Shankar Bhamidi, Nikhil Kaza:
Intertemporal Community Detection in Bikeshare Networks. - Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Adaptive Neural Signal Detection for Massive MIMO. - Weihua Li, Tomaso Aste, Fabio Caccioli, Giacomo Livan:
Achieving competitive advantage in academia through early career coauthorship with top scientists. - Roberto Bondesan, Austen Lamacraft:
Learning Symmetries of Classical Integrable Systems. - Sandra S. Y. Tan, Antonios Varvitsiotis, Vincent Y. F. Tan:
Analysis of Optimization Algorithms via Sum-of-Squares. - Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger:
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. - Amartya Sanyal, Philip H. S. Torr, Puneet K. Dokania:
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs. - Nicoló Savioli:
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression. - Miaomiao Wang, Abdelhamid Tayebi:
Hybrid Nonlinear Observers for Inertial Navigation Using Landmark Measurements. - Nadieh Khalili, Elise Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Generative adversarial network for segmentation of motion affected neonatal brain MRI. - Matias Barenstein:
ProPublica's COMPAS Data Revisited. - Nadieh Khalili, Nikolas Leßmann, Elise Turk, Nathalie H. P. Claessens, R. de Heus, T. Kolk, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks. - Alia Abbara, Antoine Baker, Florent Krzakala, Lenka Zdeborová:
On the Universality of Noiseless Linear Estimation with Respect to the Measurement Matrix. - Sajjad Shafiei, Adriana Simona Mihaita, Chen Cai:
Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications. - Chao Wang, Grey Ballard, Robert J. Plemmons, Sudhakar Prasad:
Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function. - Ziyi Wang, Keuntaek Lee, Marcus A. Pereira, Ioannis Exarchos, Evangelos A. Theodorou:
Deep Forward-Backward SDEs for Min-max Control. - Arliones Hoeller Jr., Richard Demo Souza, Hirley Alves, Onel L. Alcaraz López, Samuel Montejo Sánchez, Marcelo Eduardo Pellenz:
Optimum LoRaWAN Configuration Under Wi-SUN Interference. - Arghavan Zare-Noghabi, Morteza Shabanzadeh, Hossein Sangrody:
Medium-Term Load Forecasting Using Support Vector Regression, Feature Selection, and Symbiotic Organism Search Optimization. - Shen-Yi Zhao, Hao Gao, Wu-Jun Li:
ADASS: Adaptive Sample Selection for Training Acceleration. - Masahiko Hattori, Yasuhito Tanaka:
Advertising in an oligopoly with differentiated goods under general demand and cost functions: A differential game approach. - Jianqing Fan, Yongyi Guo, Kaizheng Wang:
Communication-Efficient Accurate Statistical Estimation. - Wendi Han, Guangyue Han:
Spectral Ratio for Positive Matrices. - Xinqiang Ding, David J. Freedman:
Improving Importance Weighted Auto-Encoders with Annealed Importance Sampling. - Joonas Ilmavirta, Olli Koskela, Jesse Railo:
Torus computed tomography. - (Withdrawn) Selecting stock pairs for pairs trading while incorporating lead-lag relationship.
- Damien Ackerer, Natasa Tagasovska, Thibault Vatter:
Deep Smoothing of the Implied Volatility Surface. - Huifeng Zhang, Xirong Xu, Jing Guo, Yuansheng Yang:
Fault-Tolerant Path-Embedding of Twisted Hypercube-Like Networks THLNs. - Runze Liu, Jianlei Yang, Yiran Chen, Weisheng Zhao:
eSLAM: An Energy-Efficient Accelerator for Real-Time ORB-SLAM on FPGA Platform. - Luca E. Schäfer, Andrea Maier, Stefan Ruzika:
On the Universal Near-Shortest Simple Paths Problem. - Huy Ngoc Pham, Trung Hoang Le:
Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR Inhibitors. - Xu He, Jakub Sygnowski, Alexandre Galashov, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu:
Task Agnostic Continual Learning via Meta Learning. - Sergey Kabanikhin, Olga Krivorotko, Shuhua Zhang, Victoriya Kashtanova, Yufang Wang:
Tensor train optimization for mathematical model of social networks. - Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng:
Bootstrapping Upper Confidence Bound. - Charles G. Frye:
Critical Point Finding with Newton-MR by Analogy to Computing Square Roots. - Shady Abu Hussein, Tom Tirer, Raja Giryes:
Image-Adaptive GAN based Reconstruction. - Yuxuan Huang, Luiz Fernando Capretz, Danny Ho:
Neural Network Models for Stock Selection Based on Fundamental Analysis. - (Withdrawn) Optimal low rank tensor recovery.
- You-Lin Chen, Mladen Kolar, Ruey S. Tsay:
Tensor Canonical Correlation Analysis. - Mason T. Chen, Faisal Mahmood, Jordan A. Sweer, Nicholas J. Durr:
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images. - Natasa Tagasovska, Damien Ackerer, Thibault Vatter:
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders. - Shufei Ge, Shijia Wang, Yee Whye Teh, Liangliang Wang, Lloyd T. Elliott:
Random Tessellation Forests. - Jean Feng, Arjun Sondhi, Jessica Perry, Noah Simon:
Selective prediction-set models with coverage guarantees. - Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda:
Robust and interpretable blind image denoising via bias-free convolutional neural networks. - Dixin Luo, Hongteng Xu, Lawrence Carin:
Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms. - Elizabeth Kautz, Wufei Ma, Saumyadeep Jana, Arun Devaraj, Vineet Joshi, Bülent Yener, Daniel Lewis:
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction. - Azam Rabiee, Tae-Ho Kim, Soo-Young Lee:
Adjusting Pleasure-Arousal-Dominance for Continuous Emotional Text-to-speech Synthesizer. - Valeriy Vishnevskiy, Richard Rau, Orcun Goksel:
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography. - Luigi Santocanale:
On discrete idempotent paths. - Azita Mayeli:
Non-convex optimization via strongly convex majoirziation-minimization. - L. Sargsyan, Julia Andreeva, M. Jha, Edward Karavakis, Lukasz Kokoszkiewicz, Pablo Saiz, J. Schovancova, D. Tuckett:
Dashboard Task Monitor for Managing ATLAS User Analysis on the Grid. - Christopher Larson, Tarek Lahlou, Diana Mingels, Zachary Kulis, Erik T. Mueller:
Telephonetic: Making Neural Language Models Robust to ASR and Semantic Noise. - Suraj Tripathi, Abhay Kumar, Abhiram Ramesh, Chirag Singh, Promod Yenigalla:
Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions. - Suraj Tripathi, Abhay Kumar, Abhiram Ramesh, Chirag Singh, Promod Yenigalla:
Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition. - Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel:
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. - Paul Glaysher, Judith M. Katzy, Sitong An:
Iterative subtraction method for Feature Ranking. - Ioannis A. Polyrakis:
The NMF problem and lattice-subspaces. - Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang:
Distributed High-dimensional Regression Under a Quantile Loss Function. - Nicholas Geneva, Nicholas Zabaras:
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks. - Amin Coja-Oghlan, Alperen Ali Ergür, Samuel Hetterich, Maurice Rolvien:
The rank of sparse random matrices. - Alexios Balatsoukas-Stimming, Christoph Studer:
Deep Unfolding for Communications Systems: A Survey and Some New Directions. - Maolin Shi, Wei Sun, Xueguan Song, Hongyou Li:
High-low level support vector regression prediction approach (HL-SVR) for data modeling with input parameters of unequal sample sizes. - Joshua N. Cooper:
Characteristic Power Series of Graph Limits. - Joscha Diehl, Kurusch Ebrahimi-Fard, Nikolas Tapia:
Time warping invariants of multidimensional time series. - Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen:
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models. - Kumar Abhishek, Ghassan Hamarneh:
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis. - Adji B. Dieng, John W. Paisley:
Reweighted Expectation Maximization. - François-Xavier Briol, Alessandro Barp, Andrew B. Duncan, Mark A. Girolami:
Statistical Inference for Generative Models with Maximum Mean Discrepancy. - Yoni Schamroth, Liron Gat Kahlon, Boris Rabinovich, David Steinberg:
Early Detection of Long Term Evaluation Criteria in Online Controlled Experiments. - Guan-Lin Chao, William Chan, Ian R. Lane:
Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments. - Jianfeng Cai, Yuling Jiao, Xiliang Lu, Juntao You:
A stochastic alternating minimizing method for sparse phase retrieval. - Muneki Yasuda, Tomoyuki Obuchi:
Empirical Bayes Method for Boltzmann Machines. - Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis. - Yan Yang, Zhifang Yang, Juan Yu, Baosen Zhang:
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach. - Rubayet Shafin Bradley Shafin, Hao Chen, Young-Han Nam, Sooyoung Hur, Jeongho Park, Jianzhong Zhang, Jeffrey H. Reed, Lingjia Liu:
Self-Tuning Sectorization: Deep Reinforcement Learning Meets Broadcast Beam Optimization. - Sanjeev Gurugopinath, Paschalis C. Sofotasios, Yousof Al-Hammadi, Sami Muhaidat:
Cache-Aided Non-Orthogonal Multiple Access for 5G-Enabled Vehicular Networks. - Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. - Yeow Meng Chee, Hui Zhang, Xiande Zhang:
Complexity of Dependencies in Bounded Domains, Armstrong Codes, and Generalizations. - Jiuyong Li, Saisai Ma, Lin Liu, Thuc Duy Le, Jixue Liu, Yizhao Han:
Identify treatment effect patterns for personalised decisions. - Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva:
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. - Sandi Klavzar, Kolja Knauer, Tilen Marc:
On the Djoković-Winkler relation and its closure in subdivisions of fullerenes, triangulations, and chordal graphs. - Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Hideki Nakayama, Shin'ichi Satoh:
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. - Silvia Liberata Ullo, Maximillian S. Langenkamp, Tuomas P. Oikarinen, Maria P. del Rosso, Alessandro Sebastianelli, Federica Piccirillo, Stefania Sica:
Landslide Geohazard Assessment With Convolutional Neural Networks Using Sentinel-2 Imagery Data. - Abdullah Nazib, Clinton Fookes, Dimitri Perrin:
Dense Deformation Network for High Resolution Tissue Cleared Image Registration. - James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel:
Global and Local Interpretability for Cardiac MRI Classification. - Stefano Fortunati, Luca Sanguinetti, Fulvio Gini, Maria S. Greco:
Massive MIMO Radar for Target Detection. - Léo Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, Valentina Zantedeschi:
Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting. - Louis Faury, Ugo Tanielian, Flavian Vasile, Elena Smirnova, Elvis Dohmatob:
Distributionally Robust Counterfactual Risk Minimization. - Alan Reyes-Figueroa, Mariano Rivera:
Deep neural network for fringe pattern filtering and normalisation. - Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro:
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. - Joosep Pata, Maria Spiropulu:
hepaccelerate: Fast Analysis of Columnar Collider Data. - Sabber Ahamed, Eric G. Daub:
Machine Learning Approach to Earthquake Rupture Dynamics. - Arash A. Amini:
Spectrally-truncated kernel ridge regression and its free lunch. - Qianxiao Li, Bo Lin, Weiqing Ren:
Computing Committor Functions for the Study of Rare Events Using Deep Learning. - Tianyao Huang, Nir Shlezinger, Xingyu Xu, Dingyou Ma, Yimin Liu, Yonina C. Eldar:
Multi-Carrier Agile Phased Array Radar. - Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Maja Pantic:
Video-Driven Speech Reconstruction using Generative Adversarial Networks. - Vyas Ramasubramani, Bradley D. Dice, Eric S. Harper, Matthew P. Spellings, Joshua A. Anderson, Sharon C. Glotzer:
freud: A Software Suite for High Throughput Analysis of Particle Simulation Data. - Joseph Szurley, J. Zico Kolter:
Perceptual Based Adversarial Audio Attacks. - Alberto Vera, Siddhartha Banerjee, Itai Gurvich:
Online Allocation and Pricing: Constant Regret via Bellman Inequalities. - Camila P. S. Tautenhain, Ana Paula F. D. Barbosa-Póvoa, Bruna Mota, Mariá C. V. Nascimento:
An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem. - Rendani Mbuvha, Ilyes Boulkaibet, Tshilidzi Marwala:
Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling. - Alexandru Paler, Robert Basmadjian:
Clifford Gate Optimisation and T Gate Scheduling: Using Queueing Models for Topological Assemblies. - Elena Celledoni, Pål Erik Lystad, Nikolas Tapia:
Signatures in Shape Analysis: an Efficient Approach to Motion Identification. - Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau:
Deep Recurrent Adversarial Learning for Privacy-Preserving Smart Meter Data Release. - Nicolas Pradignac, Maliheh Aramon, Helmut G. Katzgraber:
A feasibility pump algorithm embedded in an annealing framework. - Yushi Tan, Arindam Kumar Das, Payman Arabshahi, Daniel S. Kirschen:
Post-disaster Repair Scheduling in Partially Automated Electricity Distribution Networks. - Niloufar Teyfouri, Hossein Rabbani, Raheleh Kafieh, Iraj Jabbari:
An Exact and Fast CBCT Reconstruction via Pseudo-Polar Fourier Transform based Discrete Grangeat's Formula. - Somdyuti Paul, Andrey Norkin, Alan C. Bovik:
Speeding up VP9 Intra Encoder with Hierarchical Deep Learning Based Partition Prediction. - (Withdrawn) Single Image Super-resolution via Dense Blended Attention Generative Adversarial Network for Clinical Diagnosis.
- Julian Katz-Samuels, Kevin G. Jamieson:
The True Sample Complexity of Identifying Good Arms. - Soumendu Majee, Thilo Balke, Craig A. J. Kemp, Gregery T. Buzzard, Charles A. Bouman:
4D X-Ray CT Reconstruction using Multi-Slice Fusion. - Oliver Knill:
A parametrized Poincare-Hopf Theorem and Clique Cardinalities of graphs. - Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
The Price of Local Fairness in Multistage Selection. - Tom Beucler, Stephan Rasp, Michael S. Pritchard, Pierre Gentine:
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. - Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim:
PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients. - Yachiko Obara, Tetsuro Morimura, Hiroki Yanagisawa:
Sampler for Composition Ratio by Markov Chain Monte Carlo. - Siddharth Patwardhan:
Quantifying Dismantlement in Disconnected Networks. - Gregor A. Robinson, Ian G. Grooms:
A tunable multiresolution smoother for scattered data with application to particle filtering. - Elena Beretta, Cecilia Cavaterra, Luca Ratti:
On the determination of ischemic regions in the monodomain model of cardiac electrophysiology from boundary measurements. - Trevor Henderson, Justin Solomon:
Audio Transport: A Generalized Portamento via Optimal Transport. - Wei Qian, Yuqian Zhang, Yudong Chen:
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities. - Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio:
Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy. - Molly Rose Kelly-Gorham, Paul D. H. Hines, Ian Dobson:
Using historical utility outage data to compute overall transmission grid resilience. - Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton:
Stacked Capsule Autoencoders. - Jingjing Li, Hanyu Li:
A Fusion Adversarial Network for Underwater Image Enhancement. - Yoseob Han, Junyoung Kim, Jong Chul Ye:
Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal. - Ilsang Ohn, Yongdai Kim:
Smooth function approximation by deep neural networks with general activation functions. - Jonas Engels, Bert Claessens, Geert Deconinck:
Optimal Combination of Frequency Control and Peak Shaving with Battery Storage Systems. - Léo Cances, Patrice Guyot, Thomas Pellegrini:
Evaluation of post-processing algorithms for polyphonic sound event detection. - Jesús María Sanz-Serna, Beibei Zhu:
Word-series high-order averaging of highly oscillatory differential equations with delay. - Isao Ishikawa, Akinori Tanaka, Masahiro Ikeda, Yoshinobu Kawahara:
Metric on random dynamical systems with vector-valued reproducing kernel Hilbert spaces. - Verner Vlacic, Helmut Bölcskei:
Neural network identifiability for a family of sigmoidal nonlinearities. - Charles Roberto Telles:
Productivity equation and the m distributions of information processing in workflows. - Krishan Kumar Tiwari, Eckhard Grass, John S. Thompson, Rolf Kraemer:
Beam Entropy of 5G Cellular Millimetre-Wave Channels. - Qiang Huo:
Particle Swarm Optimization for Great Enhancement in Semi-Supervised Retinal Vessel Segmentation with Generative Adversarial Networks. - Dominic W. Berry, Andrew M. Childs, Yuan Su, Xin Wang, Nathan Wiebe:
Time-dependent Hamiltonian simulation with $L^1$-norm scaling. - Björn Sprungk:
On the Locally Lipschitz Robustness of Bayesian Inverse Problems. - Finnian Lattimore, David Rohde:
Replacing the do-calculus with Bayes rule. - David Rohde:
A Bayesian Solution to the M-Bias Problem. - Jesse Geneson:
Throttling adversaries on trees. - Larry Zhang, Xiaotong Chen, Abbad Vakil, Ali Byott, Reza Hosseini Ghomi:
DigiVoice: Voice Biomarker Featurization and Analysis Pipeline. - Yao Li, Ming Yan:
On linear convergence of two decentralized algorithms. - Siyuan Feng, Tan Lee, Zhiyuan Peng:
Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling. - Siyuan Feng, Tan Lee:
Improving Unsupervised Subword Modeling via Disentangled Speech Representation Learning and Transformation. - Abuthahir, Gaurav Raina:
Stability and non-linear dynamics of Dual congestion control schemes with two delays. - Keith D. Levin, Asad Lodhia, Elizaveta Levina:
Recovering low-rank structure from multiple networks with unknown edge distributions. - Yehong Zhang, Zhongxiang Dai, Kian Hsiang Low:
Bayesian Optimization with Binary Auxiliary Information. - Nhat Tran, Ishfaq Ahmad, Jean Gao:
rna2rna: Predicting lncRNA-microRNA-mRNA Interactions from Sequence with Integration of Interactome and Biological Annotation Data. - Andrés Corrada-Emmanuel, Edward Zahrebelski, Edward R. Pantridge:
Error Correcting Algorithms for Sparsely Correlated Regressors. - Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth:
4D CNN for semantic segmentation of cardiac volumetric sequences. - José Novoa, Rodrigo Mahú, Alejandro Díaz, Jorge Wuth, Richard M. Stern, Néstor Becerra Yoma:
Weighted delay-and-sum beamforming guided by visual tracking for human-robot interaction. - José Novoa, Josué Fredes, Jorge Wuth, Fernando Huenupán, Richard M. Stern, Néstor Becerra Yoma:
On combining features for single-channel robust speech recognition in reverberant environments. - Xu Xiang, Shuai Wang, Houjun Huang, Yanmin Qian, Kai Yu:
Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition. - Aaron Nicolson, Kuldip K. Paliwal:
Deep Xi as a Front-End for Robust Automatic Speech Recognition. - Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang:
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors. - Yue Sun, Nicolas Flammarion, Maryam Fazel:
Escaping from saddle points on Riemannian manifolds. - Vijai T. Jayadevan, Jeffrey J. Rodriguez, Alexander D. Cronin:
A Conditional Random Field Model for Context Aware Cloud Detection in Sky Images. - Ching-Kang Ing:
Model selection for high-dimensional linear regression with dependent observations. - Hieu-Thi Luong, Junichi Yamagishi:
A Unified Speaker Adaptation Method for Speech Synthesis using Transcribed and Untranscribed Speech with Backpropagation. - Alimzhan Sultangazin, Paulo Tabuada:
Symmetries and isomorphisms for privacy in control over the cloud. - Robert Gebarowski, Pawel Oswiecimka, Marcin Watorek, Stanislaw Drozdz:
Multiscale cross-correlations and triangular arbitrage opportunities in the Forex. - Thomas Dietzen, Simon Doclo, Marc Moonen, Toon van Waterschoot:
Square root-based multi-source early PSD estimation and recursive RETF update in reverberant environments by means of the orthogonal Procrustes problem. - Petru Manescu, Lydia Neary-Zajiczek, Michael J. Shaw, Muna Elmi, Remy Claveau, Vijay Pawar, John Shawe-Taylor, Iasonas Kokkinos, Mandayam A. Srinivasan, Ikeoluwa Lagunju, Olugbemiro Sodeinde, Biobele J. Brown, Delmiro Fernandez-Reyes:
Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy. - Thomas Dietzen, Simon Doclo, Marc Moonen, Toon van Waterschoot:
Integrated sidelobe cancellation and linear prediction Kalman filter for joint multi-microphone speech dereverberation, interfering speech cancellation, and noise reduction. - Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. - Qiuqiang Kong, Yong Xu, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley:
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks. - Yonatan Gutman, Adam Spiewak:
New Uniform Bounds for Almost Lossless Analog Compression. - Nathanael Schilling, Gary Froyland, Oliver Junge:
Higher-Order Finite Element Approximation of the Dynamic Laplacian. - Franca Hoffmann, Bamdad Hosseini, Zhi Ren, Andrew M. Stuart:
Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods. - Sam Gunn, Niels Kornerup:
Review of a Quantum Algorithm for Betti Numbers. - Rhona Asgari, José Ignacio Orlando, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography. - Marcello Benedetti, Erika Lloyd, Stefan H. Sack:
Parameterized quantum circuits as machine learning models. - James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner:
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes. - Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding. - Enrico Facca, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn:
Convergence of the Non-Uniform Directed Physarum Model. - Milad Mostavi, Yu-Chiao Chiu, Yufei Huang, Yidong Chen:
Convolutional neural network models for cancer type prediction based on gene expression. - Peter Grünwald, Rianne de Heide, Wouter M. Koolen:
Safe Testing. - Saeed Izadi, Darren B. Sutton, Ghassan Hamarneh:
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy. - Ayoub Belhadji, Rémi Bardenet, Pierre Chainais:
Kernel quadrature with DPPs. - Neville Ryant, Kenneth Church, Christopher Cieri, Alejandrina Cristià, Jun Du, Sriram Ganapathy, Mark Y. Liberman:
The Second DIHARD Diarization Challenge: Dataset, task, and baselines. - Jiaqi Jiang, Jonathan A. Fan:
Dataless training of generative models for the inverse design of metasurfaces. - Lei Lei, Huijuan Xu, Xiong Xiong, Kan Zheng, Wei Xiang, Xianbin Wang:
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing. - Alejandro Carderera, Jelena Diakonikolas, Sebastian Pokutta:
Locally Accelerated Conditional Gradients. - Xuechen Li, Denny Wu, Lester Mackey, Murat A. Erdogdu:
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond. - Yuqi Gu, Gongjun Xu:
Identification and Estimation of Hierarchical Latent Attribute Models. - Xinwei Zhang, Zhiqiang Tan:
Semi-supervised Logistic Learning Based on Exponential Tilt Mixture Models. - Tomasz M. Rutkowski, Marcin Koculak, Masato S. Abe, Mihoko Otake-Matsuura:
Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm. - Sai Vikas Desai, Vineeth N. Balasubramanian, Tokihiro Fukatsu, Seishi Ninomiya, Wei Guo:
Automatic estimation of heading date of paddy rice using deep learning. - Georgina Hall:
Engineering and Business Applications of Sum of Squares Polynomials. - Aleix Bassolas, Riccardo Gallotti, Fabio Lamanna, Maxime Lenormand, José J. Ramasco:
Scaling in the recovery of urban transportation systems from special events. - Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel:
Explanations can be manipulated and geometry is to blame. - Alexandru Paler, Austin G. Fowler:
OpenSurgery for Topological Assemblies. - Ruizhi Li, Xiaofei Wang, Sri Harish Mallidi, Shinji Watanabe, Takaaki Hori, Hynek Hermansky:
Multi-Stream End-to-End Speech Recognition. - Titouan Parcollet, Mohamed Morchid, Georges Linarès, Renato De Mori:
Real to H-space Encoder for Speech Recognition. - Yan Han, Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H. Tewfik:
Robust End to End Speaker Verification Using EEG. - Gautam Krishna, Co Tran, Yan Han, Mason Carnahan, Ahmed H. Tewfik:
Speech Recognition With No Speech Or With Noisy Speech Beyond English. - Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Gilberto K. K. Leung:
Automated Computer Evaluation of Acute Ischemic Stroke and Large Vessel Occlusion. - Francesco Fiz, Helmut Dittmann, Cristina Campi, Matthias Weissinger, Samine Sahbai, Matthias Reimold, Arnulf Stenzl, Michele Piana, Gianmario Sambuceti, Christian la Fougère:
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: a 3D analysis of SPECT/CT images. - Maria De-Arteaga, Benedikt Boecking:
Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism. - Csaba Tóth, Harald Oberhauser:
Variational Gaussian Processes with Signature Covariances. - Andrés Hoyos Idrobo:
Local Bures-Wasserstein Transport: A Practical and Fast Mapping Approximation. - Alessandro Barp, François-Xavier Briol, Andrew B. Duncan, Mark A. Girolami, Lester W. Mackey:
Minimum Stein Discrepancy Estimators. - Youngmoon Jung, Younggwan Kim, Hyungjun Lim, Yeunju Choi, Hoirin Kim:
Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification. - Oliver Hamelijnck, Theodoros Damoulas, Kangrui Wang, Mark A. Girolami:
Multi-resolution Multi-task Gaussian Processes. - Dushyant Sahoo, Danielle S. Bassett, Christos Davatzikos:
Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI. - Caleb Camrud, Evan Camrud, Lee Przybylski, Eric S. Weber:
Stability of the Kaczmarz Reconstruction for Stationary Sequences. - Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar:
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies. - Dixin Luo, Hongteng Xu, Lawrence Carin:
Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes. - Tanner Fiez, Lalit Jain, Kevin G. Jamieson, Lillian J. Ratliff:
Sequential Experimental Design for Transductive Linear Bandits. - Min-Jae Hwang, Hong-Goo Kang:
Parameter Enhancement for MELP Speech Codec in Noisy Communication Environment. - Qiang Gui, Hao Su, Donghan Feng, Yun Zhou, Ran Xu, Ting Lei:
A novel linear battery energy storage system (BESS) life loss calculation model for BESS-integrated wind farm in scheduled power tracking. - Proloy Das, Behtash Babadi:
Multitaper Spectral Analysis of Neuronal Spiking Activity Driven by Latent Stationary Processes. - Satoshi Hara, Atsushi Nitanda, Takanori Maehara:
Data Cleansing for Models Trained with SGD. - Antoine Maillard, Laura Foini, Alejandro Lage Castellanos, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
High-temperature Expansions and Message Passing Algorithms. - Chengzhi Shi, Jihong Liu, Dali Chen:
A Segmentation-Oriented Inter-Class Transfer Method: Application to Retinal Vessel Segmentation. - Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
Efficient data augmentation using graph imputation neural networks. - Xavier Fontaine, Pierre Perrault, Vianney Perchet:
Active Linear Regression. - Arnak S. Dalalyan, Lionel Riou-Durand, Avetik G. Karagulyan:
Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets. - Robert J. Berman:
The spherical ensemble and quasi-Monte-Carlo designs. - Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Screening Sinkhorn Algorithm for Regularized Optimal Transport. - Daniel King, Adrian Farrel, Emiko Nishida-King, Ramon Casellas, Luis Velasco, Reza Nejabati, Andrew Lord:
The dichotomy of distributed and centralized control: METRO-HAUL, when control planes collide for 5G networks. - Chen Sun, Ye Tian, Liang Gao, Yishuai Niu, Tianlong Zhang, Hua Li, Yuqing Zhang, Zengqi Yue, Nicole Delepine-Gilon, Jin Yu:
Machine Learning Allows Calibration Models to Predict Trace Element Concentration in Soil with Generalized LIBS Spectra. - Nathan Kallus:
More Efficient Policy Learning via Optimal Retargeting. - Dinah Elena Hollermann, Marc Goerigk, Dörthe Franzisca Hoffrogge, Maike Hennen, André Bardow:
Flexible here-and-now decisions for two-stage multi-objective optimization: Method and application to energy system design selection. - Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová:
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. - Shanka Subhra Mondal, Sharada Prasanna Mohanty, Benjamin Harlander, Mehmet Köseoglu, Lance Rane, Kirill Romanov, Wei-Kai Liu, Pranoot Hatwar, Marcel Salathé, Joe Byrum:
Investment Ranking Challenge: Identifying the best performing stocks based on their semi-annual returns. - Johannes Wachs, János Kertész:
A network approach to cartel detection in public auction markets. - Wei Song, Yan Wang, Dongmei Huang, Antonio Liotta, Cristian Perra:
Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map. - Laurent Bourgeois, Lucas Chesnel:
On quasi-reversibility solutions to the Cauchy problem for the Laplace equation: regularity and error estimates. - Boris Adamczewski, Reem Yassawi:
A note on Christol's theorem. - Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt:
Learning the Sampling Pattern for MRI. - V. Papadinas, W. Xiong, Nektarios A. Valous:
Extra-factorial sum: a graph-theoretic parameter in Hamiltonian cycles of complete weighted graphs. - Pere Giménez-Febrer, Alba Pagès-Zamora, Georgios B. Giannakis:
Generalization error bounds for kernel matrix completion and extrapolation. - Colin Stephen:
Horizon Visibility Graphs and Time Series Merge Trees are Dual. - Mohamad Ali-Dib, Kristen Menou, Chenchong Zhu, Noah Hammond, Alan P. Jackson:
Automated crater shape retrieval using weakly-supervised deep learning. - Yusuf Seçerdin, Murat Erkoc:
Service Network Design Problem with Capacity-Demand Balancing. - Kainan Chen, Wenyu Jin, Bharadwaj Desikan:
A Signal Subspace Rotation Method for Localization of Multiple Wideband Sound Sources. - Elin Farnell, Henry Kvinge, John P. Dixon, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler, Christian W. Smith:
A data-driven approach to sampling matrix selection for compressive sensing. - Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H. Tewfik:
Advancing Speech Recognition With No Speech Or With Noisy Speech. - Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts:
Bayesian Optimisation over Multiple Continuous and Categorical Inputs. - Adam Bene Watts, Robin Kothari, Luke Schaeffer, Avishay Tal:
Exponential separation between shallow quantum circuits and unbounded fan-in shallow classical circuits. - Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Limitations of Lazy Training of Two-layers Neural Networks. - Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda:
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. - Maximilian Stark, Linfang Wang, Richard D. Wesel, Gerhard Bauch:
Information Bottleneck Decoding of Rate-Compatible 5G-LDPC Codes. - Ahmed Al Amin, Bhaskara Narottama, Soo Young Shin:
Capacity Enhancement of Cooperative NOMA over Rician Fading Channels with Orbital Angular Momentum. - Jacob Charles Wright Billings, Mirko Hu, Giulia Lerda, Alexey N. Medvedev, Francesco Mottes, Adrian Onicas, Andrea Santoro, Giovanni Petri:
Simplex2Vec embeddings for community detection in simplicial complexes. - Thanh Huy Nguyen, Umut Simsekli, Mert Gürbüzbalaban, Gaël Richard:
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise. - Duilio Balsamo, Valeria Gelardi, Chengyuan Han, Daniele Rama, Abhishek Samantray, Claudia Zucca, Michele Starnini:
Inside the Echo Chamber: Disentangling network dynamics from polarization. - Matteo Bruno, Sandro Ferreira Sousa, Furkan Gursoy, Matteo Serafino, Francesca V. Vianello, Ana Vranic, Marián Boguñá:
Community Detection in the Hyperbolic Space. - Laetitia Gauvin, Michele Tizzoni, Simone Piaggesi, Andrew Young, Natalia Adler, Stefaan Verhulst, Leo Ferres, Ciro Cattuto:
Gender gaps in urban mobility. - Ahmed Al Amin, Mohammed Belal Uddin, Soo Young Shin:
Performance Enhancement of Hybrid SWIPT Protocol for Cooperative NOMA Downlink Transmission. - Nina Kamcev, Anita Liebenau, David Wood, Liana Yepremyan:
The size Ramsey number of graphs with bounded treewidth. - Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez:
Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes. - Furqan Jameel, Ruifeng Duan, Zheng Chang, Aleksi Liljemark, Tapani Ristaniemi, Riku Jäntti:
Applications of Backscatter Communications for Healthcare Networks. - Alberto Fernández, Sergio Gómez:
Versatile linkage: a family of space-conserving strategies for agglomerative hierarchical clustering. - Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, Seth R. Flaxman:
Modeling and Forecasting Art Movements with CGANs. - Robin Vogel, Aurélien Bellet, Stéphan Clémençon, Ons Jelassi, Guillaume Papa:
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning. - Stéphan Clémençon, Robin Vogel:
On Tree-based Methods for Similarity Learning. - Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran:
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation. - Vladimir Vovk:
Power and limitations of conformal martingales. - Baihan Lin, Marieke Mur, Tim C. Kietzmann, Nikolaus Kriegeskorte:
Visualizing Representational Dynamics with Multidimensional Scaling Alignment. - Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet:
Robustness of Dynamical Quantities of Interest via Goal-Oriented Information Theory. - Elliot Cartee, Alexander Vladimirsky:
Control-Theoretic Models of Environmental Crime. - Matías Valdés, Marcelo Fiori:
Re-Weighted 𝓁1 Algorithms within the Lagrange Duality Framework: Bringing Interpretability to Weights. - Shabnam Sodagari:
Underpinnings of User-Channel Allocation in Non-Orthogonal Multiple Access for 5G. - John M. Abowd, Ian M. Schmutte, William Sexton, Lars Vilhuber:
Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods. - Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Boosting the rule-out accuracy of deep disease detection using class weight modifiers. - Creighton Heaukulani, Mark van der Wilk:
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes. - Mingxuan Han, Michael Matheny, Jeff M. Phillips:
The Kernel Spatial Scan Statistic. - Sandra Robles, Jonathan S. Gómez, Adín Ramírez Rivera, Jenny A. González, Nelson D. Padilla, Diego Dujovne:
A Halo Merger Tree Generation and Evaluation Framework. - Keiichi Kisamori, Keisuke Yamazaki:
Model Bridging: To Interpretable Simulation Model From Neural Network. - Jaeheum Lee, Jason Kamran Eshraghian, Kyoung-Rok Cho, Kamran Eshraghian:
Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars. - Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez:
Multi-task Learning for Aggregated Data using Gaussian Processes. - Amir Mahdi Abdolhosseini-Qomi, Seyed Hossein Jafari, Amirheckmat Taghizadeh, Naser Yazdani, Masoud Asadpour, Masoud Rahgozar:
Link Prediction in Real-World Multiplex Networks via Layer Reconstruction Method. - Brij Mohan Lal Srivastava, Basil Abraham, Sunayana Sitaram, Rupesh K. Mehta, Preethi Jyothi:
End-to-End ASR for Code-switched Hindi-English Speech. - Denis Belomestny, Maxim Kaledin, John Schoenmakers:
Semi-tractability of optimal stopping problems via a weighted stochastic mesh algorithm. - Min Fu, Yong Zhou, Yuanming Shi:
Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks. - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Fisher and Kernel Fisher Discriminant Analysis: Tutorial. - Xun Zhang, William B. Haskell, Zhisheng Ye:
A Unifying Framework for Variance Reduction Algorithms for Finding Zeroes of Monotone Operators. - Maolin Shi, Shuo Wang, Wei Sun, Liye Lv, Xueguan Song:
A support vector regression-based multi-fidelity surrogate model. - Algo Carè, Balázs Csanád Csáji, Balázs Gerencsér, László Gerencsér, Miklós Rásonyi:
On the Poisson Equation of Parameter-Dependent Markov Chains. - Dmitry S. Kulyabov, Anna V. Korolkova, Tatiana R. Velieva, Migran N. Gevorkyan:
Numerical analysis of eikonal equation. - Wenjian Liu, Ning Ning:
The non-tightness of the reconstruction threshold of a 4 states symmetric model with different in-block and out-block mutations. - Eszter Vértes, Maneesh Sahani:
A neurally plausible model learns successor representations in partially observable environments. - Ertugrul Basar, Marco Di Renzo, Julien de Rosny, Mérouane Debbah, Mohamed-Slim Alouini, Rui Zhang:
Wireless Communications Through Reconfigurable Intelligent Surfaces. - Gábor Lugosi, Jakub Truszkowski, Vasiliki Velona, Piotr Zwiernik:
Structure learning in graphical models by covariance queries. - Behzad Khamidehi, Elvino S. Sousa:
Power Efficient Trajectory Optimization for the Cellular-Connected Aerial Vehicles. - Dino Oglic, Zoran Cvetkovic, Peter Sollich:
Parzen Filters for Spectral Decomposition of Signals. - Sergey A. Shuvaev, Ngoc B. Tran, Marcus Stephenson-Jones, Bo Li, Alexei A. Koulakov:
Neural networks with motivation. - Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, Stefano Ermon:
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. - Jingyi Zhu, Long Wang, James C. Spall:
Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems. - Todd E. Humphreys, Matthew J. Murrian, Lakshay Narula:
Deep urban unaided precise GNSS vehicle positioning. - Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille:
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures. - Yuankai Huo, James G. Terry, Jiachen Wang, Sangeeta Nair, Thomas A. Lasko, Barry I. Freedman, John Jeffrey Carr, Bennett A. Landman:
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations. - Behzad Khamidehi, Elvino S. Sousa:
Reinforcement Learning-Based Trajectory Design for the Drone Base Stations. - Wann-Jiun Ma, Jakub Marecek, Martin Mevissen:
A Fine-Grained Variant of the Hierarchy of Lasserre. - Felipe A. Tobar, Gonzalo Rios:
Compositionally-Warped Gaussian Processes. - Ali Moghimi, Ce Yang, James A. Anderson:
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat. - Lucas Jaffe, Michael E. Zelinski, Wesam Sakla:
Remote Sensor Design for Visual Recognition with Convolutional Neural Networks. - Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Fan Wu, Zhicheng Jiao, Jian Yang, Xingbo Gao:
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. - Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex Pentland, Jie Tang:
Identify and understand pay-it-forward reciprocity using millions of online red packets. - Hui-Ming Wang, Xu Zhang, Jia-Cheng Jiang:
UAV-Involved Wireless Physical-Layer Secure Communications: Overview and Research Directions. - Bhavya Ajani:
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images. - Wenhao Jiang, Zhiyu Liu, Kit-Hang Lee, Shihui Chen, Yui-Lun Ng, Qi Dou, Hing-Chiu Chang, Ka-Wai Kwok:
Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training. - Sandrine Destouet Roblot, Mythri Hunukumbure, Nadège Varsier, Elena Santiago, Yu Bao, Serge Langouet, Marie-Hélène Hamon, Sebastien Jeux:
Techno-economic analyses for vertical use cases in the 5G domain. - Xianling Meng, Wei Wang, Yitu Wang, Vincent K. N. Lau, Zhaoyang Zhang:
Closed-Form Delay-Optimal Computation Offloading in Mobile Edge Computing Systems. - Moti Freiman, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Pál Maurovich-Horvat, Patrick Donnelly, Liran Goshen:
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation. - Sascha Kurz:
A note on the linkage construction for constant dimension codes. - César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage:
Recurrent Adversarial Service Times. - David Martín de Diego, Rodrigo Sato Martín de Almagro:
Variational order for forced Lagrangian systems II: Euler-Poincaré equations with forcing. - Hajar Asgari, Babak Mazloom-Nezhad Maybodi, Raphaela Kreiser, Yulia Sandamirskaya:
Digital Multiplier-less Event-Driven Spiking Neural Network Architecture for Learning a Context-Dependent Task. - Tianle Liu, Jun Tong, Qinghua Guo, Jiangtao Xi, Yanguang Yu, Zhitao Xiao:
On the Performance of Massive MIMO Systems With Low-Resolution ADCs Over Rician Fading Channels. - Malong Ke, Zhen Gao, Yongpeng Wu, Xiqi Gao, Robert Schober:
Compressive Sensing Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO. - Furqan Jameel, Tapani Ristaniemi, Imran Khan, Byung Moo Lee:
Simultaneous Harvest-and-Transmit Ambient Backscatter Communications under Rayleigh Fading. - Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen:
Brain Network Construction and Classification Toolbox (BrainNetClass). - Valentin Thorey, Albert Bou Hernandez, Pierrick J. Arnal, Emmanuel H. During:
AI vs Humans for the diagnosis of sleep apnea. - Guillaume Lambard, Ekaterina Gracheva:
SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors. - Valerio Capraro:
The dual-process approach to human sociality: A review. - Yan Yang, Juan Yu, Zhifang Yang, Mingxu Xiang, Ren Liu:
Fast Calculation of Probabilistic Optimal Power Flow: A Deep Learning Approach. - Eric Armengaud, Sebastian Frager, Stephen Jones, Alexander Massoner, Alejandro Ferreira Parrilla, Niklas Wikström, Georg Macher:
Development Framework for Longitudinal Automated Driving Functions with Off-board Information Integration. - Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffaele De Simone, Ivo Wolf:
Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training. - Pablo Lanillos, Daniel Oliva, Anja Philippsen, Yuichi Yamashita, Yukie Nagai, Gordon Cheng:
A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder. - Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein:
Inference for multiple heterogeneous networks with a common invariant subspace. - Dulce I. Valdivia, Manuela Geiß, Marc Hellmuth, Maribel Hernández-Rosales, Peter F. Stadler:
Hierarchical Colorings of Cographs. - Martin Burger, Elena Resmerita, Martin Benning:
An entropic projection method for linear ill-posed problems. - Johanna Rock, Máté Tóth, Elmar Messner, Paul Meissner, Franz Pernkopf:
Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks. - Jie Zhang, Jonathan P. Newman, Xiao Wang, Chetan Singh Thakur, John M. Rattray, Ralph Etienne-Cummings, Matthew A. Wilson:
A closed-loop all-electronic pixel-wise adaptive imaging system for high dynamic range video. - Mu Li, Kede Ma, Jane You, David Zhang, Wangmeng Zuo:
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression. - Jason M. Klusowski:
Best Split Nodes for Regression Trees. - Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi:
Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography. - Kunal Garg, Ehsan Arabi, Dimitra Panagou:
Prescribed-time control under spatiotemporal and input constraints: A QP based approach. - Hanyuan Hang, Yuchao Cai, Hanfang Yang:
Density-based Clustering with Best-scored Random Forest. - Bradley J. Pillay, Absalom E. Ezugwu:
Hybrid symbiotic organisms search feedforward neural network model for stock price prediction. - Alexey Uvarov, Andrey Kardashin, Jacob D. Biamonte:
Machine Learning Phase Transitions with a Quantum Processor. - Peter Jacko:
The Finite-Horizon Two-Armed Bandit Problem with Binary Responses: A Multidisciplinary Survey of the History, State of the Art, and Myths. - Andrew Knight:
Refuting Strong AI: Why Consciousness Cannot Be Algorithmic. - Deepak Mishra, Håkan Johansson:
Optimal Least-Squares Estimator and Precoder for Energy Beamforming over IQ-Impaired Channels. - Yading Yuan, Ren-Dih Sheu, Luke Fu, Yeh-Chi Lo:
A Deep Regression Model for Seed Identification in Prostate Brachytherapy. - Jin Gao, Muhammad R. A. Khandaker, Faisal Tariq, Kai-Kit Wong, Risala T. Khan:
Deep Neural Network Based Resource Allocation for V2X Communications. - Qi Yu, Wei Dai, Zoran Cvetkovic, Jubo Zhu:
Dictionary Learning with BLOTLESS Update. - Davide Viviano:
Policy Targeting under Network Interference. - Nibodh Boddupalli, Aqib Hasnain, Enoch Yeung:
Persistence of Excitation for Koopman Operator Represented Dynamical Systems. - Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet:
Certifiably Optimal Sparse Inverse Covariance Estimation. - Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina Jr., Agma J. M. Traina:
3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. - Guorui Zhou, Kailun Wu, Weijie Bian, Zhao Yang, Xiaoqiang Zhu, Kun Gai:
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling. - Anna Guitart, Shi Hui Tan, Ana Fernández del Río, Pei Pei Chen, África Periáñez:
From Non-Paying to Premium: Predicting User Conversion in Video Games with Ensemble Learning. - Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen:
Learning a sparse database for patch-based medical image segmentation. - Emmanuel Trélat, Gengsheng Wang, Yashan Xu:
Stabilization of infinite-dimensional linear control systems by POD reduced-order Riccati feedback. - Chitralekha Gupta, Emre Yilmaz, Haizhou Li:
Acoustic Modeling for Automatic Lyrics-to-Audio Alignment. - Xuhua Ren, Lichi Zhang, Qian Wang, Dinggang Shen:
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization. - Yochai Zur, Amir Adler:
Deep Learning of Compressed Sensing Operators with Structural Similarity Loss. - P. A. Bezyazeekov, N. M. Budnev, Oleg L. Fedorov, O. A. Gress, O. Grishin, Andreas Haungs, T. Huege, Y. A. Kazarina, M. Kleifges, Dmitriy Kostunin, Elena Korosteleva, L. A. Kuzmichev, V. Lenok, N. Lubsandorzhiev, S. Malakhov, T. Marshalkina, R. Monkhoev, E. Osipova, A. Pakhorukov, L. Pankov, V. V. Prosin, F. G. Schröder, D. A. Shipilov, A. Zagorodnikov:
Towards the Tunka-Rex Virtual Observatory. - Rémy Degenne, Wouter M. Koolen, Pierre Ménard:
Non-Asymptotic Pure Exploration by Solving Games. - Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria:
Riemannian optimization on the simplex of positive definite matrices. - Sabira El Khalfaoui, Gábor Péter Nagy:
On The Dimension of The Subfield Subcodes of 1-Point Hermitian Codes. - Oleksandr Zadorozhnyi, Gilles Blanchard, Alexandra Carpentier:
Restless dependent bandits with fading memory. - Shakiba Moradi, Azin Alizadehasl, Jan Dhooge, Isaac Shiri, Niki Oveisi, Mehrdad Oveisi, Majid Maleki, Mostafa Ghelich Oghli:
MFP-Unet: A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography. - Laurel L. McClure:
Partitioning the Primes and Efficient Non-trivial Factor Generation using the Least Odd Partition Identity in Conjunction with Dirichlet Linear Progressions and the Reduced Residue System Modulo 18. - Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai:
Non-Parallel Sequence-to-Sequence Voice Conversion with Disentangled Linguistic and Speaker Representations. - L. Angela Mihai, Thomas E. Woolley, Alain Goriely:
Likely cavitation and radial motion of stochastic elastic spheres 1: Driven by dead-load traction. - Alessandro Lanza, Serena Morigi, Monica Pragliola, Fiorella Sgallari:
Space-variant Generalized Gaussian Regularization for Image Restoration. - Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet:
AMF: Aggregated Mondrian Forests for Online Learning. - David Cohen-Steiner, Alba Chiara de Vitis:
Spectral Properties of Radial Kernels and Clustering in High Dimensions. - Konstantin Mishchenko, Mallory Montgomery, Federico Vaggi:
A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls. - Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters:
DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm. - Zvika Brakerski, Omri Shmueli:
(Pseudo) Random Quantum States with Binary Phase. - Kathleen P. Champion, Peng Zheng, Aleksandr Y. Aravkin, Steven L. Brunton, J. Nathan Kutz:
A unified sparse optimization framework to learn parsimonious physics-informed models from data. - James Chin-Jen Pang, Hessam Mahdavifar, S. Sandeep Pradhan:
Coding for Crowdsourced Classification with XOR Queries. - Haimiao Zhang, Bin Dong:
A Review on Deep Learning in Medical Image Reconstruction. - Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih:
Monte Carlo Gradient Estimation in Machine Learning. - Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford:
Complexity of Highly Parallel Non-Smooth Convex Optimization. - Giacomo Dimarco, Andrea Tosin:
The Aw-Rascle traffic model: Enskog-type kinetic derivation and generalisations. - Thorsten Kleinjung, Benjamin Wesolowski:
Discrete logarithms in quasi-polynomial time in finite fields of fixed characteristic. - Luca Oneto, Michele Donini, Andreas Maurer, Massimiliano Pontil:
Learning Fair and Transferable Representations. - H. Philathong, Vishwanathan Akshay, Igor Zacharov, Jacob D. Biamonte:
Computational Phase Transition Signature in Gibbs Sampling. - Andrés F. Duque, Guy Wolf, Kevin R. Moon:
Visualizing High Dimensional Dynamical Processes. - Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati:
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging. - Brandon Oselio, Amir Sadeghian, Silvio Savarese, Alfred O. Hero III:
Time-Varying Interaction Estimation Using Ensemble Methods. - Jay Miles Appleton, Brian T. Helenbrook:
A High-Order Lower-Triangular Pseudo-Mass Matrix for Explicit Time Advancement of hp Triangular Finite Element Methods. - Yuguang Yang, Michael A. Bevan, Bo Li:
Efficient Navigation of Active Particles in an Unseen Environment via Deep Reinforcement Learning. - Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu:
A Debiased MDI Feature Importance Measure for Random Forests. - Jing Han, Shengqian Ma, Yujie Wang, Geert Leus:
Low-Complexity Equalization of MIMO-OSDM. - Peng-Fei Wu, Zhen-Hua Ling, Li-Juan Liu, Yuan Jiang, Hong-Chuan Wu, Li-Rong Dai:
End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training. - Zhuangzhuang Cui, Ke Guan, César Briso, Danping He, Bo Ai, Zhangdui Zhong:
Probabilistic Two-Ray Model for Air-to-Air Channel in Built-Up Areas. - Azadeh Khaleghi, Daniil Ryabko:
Clustering piecewise stationary processes. - Feng Pan, Hai-Jun Zhou, Pan Zhang:
Neural-network based general method for statistical mechanics on sparse systems. - Anis Amri, Philippe Chassaing:
The impatient collector. - Reuben R. Shamir, Ze'ev Bomzon:
Evaluation of head segmentation quality for treatment planning of tumor treating fields in brain tumors. - Minkyu Lim, Ji-Hwan Kim:
Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder. - Tiziano De Angelis, Maximilien Germain, Elena Issoglio:
A numerical scheme for stochastic differential equations with distributional drift. - Wenhang Bao, Xiao-Yang Liu:
Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis. - Patrick von Platen, Chao Zhang, Philip C. Woodland:
Multi-Span Acoustic Modelling using Raw Waveform Signals. - Ryo Nakashima, Ryo Ozaki, Tadahiro Taniguchi:
Unsupervised Phoneme and Word Discovery from Multiple Speakers using Double Articulation Analyzer and Neural Network with Parametric Bias. - Thomas Heinis:
Survey of Information Encoding Techniques for DNA. - Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. - Hajime Seya, Daiki Shiroi:
A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN. - Ansh Kapil, Tobias Wiestler, Simon Lanzmich, Abraham Silva, Keith Steele, Marlon Rebelatto, Günter Schmidt, Nicolas Brieu:
DASGAN - Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images. - Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Physics-Informed Echo State Networks for Chaotic Systems Forecasting. - (Withdrawn) Near-Optimal Error Correcting Code For Ternary Quantum Systems.
- Karol Fitzgerald, Lisa-Marie Browne, Ray F. Butler:
Using the Agile software development lifecycle to develop a standalone application for generating colour magnitude diagrams. - Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Neill D. F. Campbell, Carl Henrik Ek:
Modulated Bayesian Optimization using Latent Gaussian Process Models. - Signe Riemer-Sørensen, Jie Wu, Halvor Lie, Svein Sævik, Sang-Woo Kim:
Data-driven prediction of vortex-induced vibration response of marine risers subjected to three-dimensional current. - Fusong Ju, Jianwei Zhu, Guozheng Wei, Qi Zhang, Shiwei Sun, Dongbo Bu:
Seq-SetNet: Exploring Sequence Sets for Inferring Structures. - Sourav Mondal, Nilanjan De, Anita Pal:
On some new neighbourhood degree based indices. - Saeed Vatankhah, Shuang Liu, Rosemary A. Renaut, Xiangyun Hu, Jamaledin Baniamerian:
Improving the use of the randomized singular value decomposition for the inversion of gravity and magnetic data. - Ryan Hausen, Brant Robertson:
Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data. - Vishwanathan Akshay, H. Philathong, Mauro E. S. Morales, Jacob D. Biamonte:
Reachability Deficits in Quantum Approximate Optimization. - Sinan G. Aksoy, Cliff A. Joslyn, Carlos Ortiz Marrero, Brenda Praggastis, Emilie Purvine:
Hypernetwork Science via High-Order Hypergraph Walks. - Peter L. Bartlett, Philip M. Long, Gábor Lugosi, Alexander Tsigler:
Benign Overfitting in Linear Regression. - Susanna Mosleh, Lingjia Liu, Jonathan D. Ashdown, Erik Perrins, Kurt A. Turck:
Content-Based User Association and MIMO Operation over Cached Cloud-RAN Networks. - Mariella Dimiccoli, Herwig Wendt:
Enhancing temporal segmentation by nonlocal self-similarity. - Madeline Brandt, Madeleine Weinstein:
Voronoi Cells in Metric Algebraic Geometry of Plane Curves. - Siheng Chen, Sufeng Niu, Tian Lan, Baoan Liu:
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving. - Nikolai Matni, Alexandre Proutière, Anders Rantzer, Stephen Tu:
From self-tuning regulators to reinforcement learning and back again. - Nikolai Matni, Stephen Tu:
A Tutorial on Concentration Bounds for System Identification. - Seonho Park, Seung-Hyun Jung, Panos M. Pardalos:
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization. - Prashant Shekhar, Abani K. Patra:
Hierarchical Data Reduction and Learning. - Younghak Shin, Hemin Ali Qadir, Ilangko Balasingham:
Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance. - Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir:
Deep Active Learning with Adaptive Acquisition. - Hongruixuan Chen, Chen Wu, Bo Du, Liangpei Zhang:
Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images. - Tushar Vaidya, Thiparat Chotibut, Georgios Piliouras:
Broken Detailed Balance and Non-Equilibrium Dynamics in Noisy Social Learning Models. - Mitsuki Sakamoto, Yuta Hiasa, Yoshito Otake, Masaki Takao, Yuki Suzuki, Nobuhiko Sugano, Yoshinobu Sato:
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. - Michael Erdmann:
Deception, Delay, and Detection of Strategies. - Andrew Y. K. Foong, Yingzhen Li, José Miguel Hernández-Lobato, Richard E. Turner:
'In-Between' Uncertainty in Bayesian Neural Networks. - Debanshu Ratha, Eric Pottier, Avik Bhattacharya, Alejandro C. Frery:
A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameters Based Unsupervised Classification Scheme Using a Geodesic Distance. - Wenhao Bian, Jie Wang, Bojin Zhuang, Jiankui Yang, Shaojun Wang, Jing Xiao:
Audio-Based Music Classification with DenseNet And Data Augmentation. - Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi:
Bilinear Compressed Sensing under known Signs via Convex Programming. - Daniela De Canditiis:
A global approach for learning sparse Ising models. - Lenar Gabdrakhmanov, Rustem Garaev, Evgenii Razinkov:
RUSLAN: Russian Spoken Language Corpus for Speech Synthesis. - M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
Interpretable Almost-Matching-Exactly With Instrumental Variables. - David Rushing Dewhurst, Thayer Alshaabi, Dilan Kiley, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth, Peter Sheridan Dodds:
The shocklet transform: A decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series. - Yue Bai, Leo L. Duan:
Tuning-Free Disentanglement via Projection. - Francisco Afonso Raposo, David Martins de Matos, Ricardo Ribeiro:
Low-dimensional Embodied Semantics for Music and Language. - John Lee, Max Dabagia, Eva L. Dyer, Christopher J. Rozell:
Hierarchical Optimal Transport for Multimodal Distribution Alignment. - Tomoki Kurikawa, Omri Barak, Kunihiko Kaneko:
Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network. - Matej Balog, Bart van Merriënboer, Subhodeep Moitra, Yujia Li, Daniel Tarlow:
Fast Training of Sparse Graph Neural Networks on Dense Hardware. - Jonathan Lacotte, Mert Pilanci, Marco Pavone:
High-Dimensional Optimization in Adaptive Random Subspaces. - Julio Aracena, Christopher Thraves Caro:
The Weighted Sitting Closer to Friends than Enemies Problem in the Line. - Henry Kvinge, Elin Farnell, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler:
More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing. - Jess Banks, Archit Kulkarni, Satyaki Mukherjee, Nikhil Srivastava:
Gaussian Regularization of the Pseudospectrum and Davies' Conjecture. - Shaoxing Mo, Nicholas Zabaras, Xiaoqing Shi, Jichun Wu:
Integration of adversarial autoencoders with residual dense convolutional networks for inversion of solute transport in non-Gaussian conductivity fields. - Shuanglong Liu, Ringo S. W. Chu, Xiwei Wang, Wayne Luk:
Optimizing CNN-based Hyperspectral ImageClassification on FPGAs. - Ahmet Karaküçük, Ahmet Emir Dirik:
PRNU Based Source Camera Attribution for Image Sets Anonymized with Patch-Match Algorithm. - Or Shwartzman, Harel Gazit, Ilan Shelef, Tammy Riklin-Raviv:
The Impact of an Inter-rater Bias on Neural Network Training. - Gwenolé Quellec, Mathieu Lamard, Bruno Laÿ, Alexandre Le Guilcher, Ali Erginay, Béatrice Cochener, Pascale Massin:
Instant automatic diagnosis of diabetic retinopathy. - Matias Tassano, Julie Delon, Thomas Veit:
DVDnet: A Fast Network for Deep Video Denoising. - Sebastian Riedel, Freek Stulp:
Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics. - Sahar Soheilian Esfahani, Xiaojun Zhai, Minsi Chen, Abbes Amira, Faycal Bensaali, Julien Abinahed, Sarada Dakua, Georges Younes, Robin A. Richardson, Peter V. Coveney:
HEMELB Acceleration and Visualization for Cerebral Aneurysms. - Gregory Wimsatt, Olli-Pentti Saira, Alexander B. Boyd, Matthew H. Matheny, Siyuan Han, Michael L. Roukes, James P. Crutchfield:
Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries. - Oliver Hinder, Aaron Sidford, Nimit Sharad Sohoni:
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond. - Tucker Hybinette Balch, Mahmoud Mahfouz, Joshua Lockhart, Maria Hybinette, David Byrd:
How to Evaluate Trading Strategies: Single Agent Market Replay or Multiple Agent Interactive Simulation? - Saeed Anwar, Nick Barnes:
Densely Residual Laplacian Super-Resolution. - Hyungjin Kim, Hussein Nili, Mahmood Mahmoodi, Dmitri B. Strukov:
4K-Memristor Analog-Grade Passive Crossbar Circuit. - Louxin Zhang:
Generating Normal Networks via Leaf Insertion and Nearest Neighbor Interchange. - Simon Luo, Mahito Sugiyama:
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. - Jean-Marc Azaïs, Yohann de Castro:
Multiple Testing and Variable Selection along Least Angle Regression's path. - Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret:
Large scale Lasso with windowed active set for convolutional spike sorting. - Vee-Liem Saw, Lock Yue Chew:
No-boarding buses: Agents allowed to cooperate or defect. - Adil Khan, Abdul Qayyum Khan, Muhammad Sarwar, Muhammad Abubakar, Naeem Iqbal:
An Accurate Fault Location Algorithm for Meshed Power Networks Utilizing Hybrid Sparse Voltage and Current Measurements. - Dominik Janzing:
Causal Regularization. - Benny Avelin, Kaj Nyström:
Neural ODEs as the Deep Limit of ResNets with constant weights. - Zhun Fan, Jiajie Mo, Benzhang Qiu:
Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network. - Nawapon Nakharutai, Matthias C. M. Troffaes, Camila C. S. Caiado:
Improving and benchmarking of algorithms for decision making with lower previsions. - Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin:
Symphony of high-dimensional brain. - Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring:
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy. - Julian Fischer, Michael Kniely:
Variance reduction for effective energies of random lattices in the Thomas-Fermi-von Weizsäcker model. - Pierre Laforgue, Stéphan Clémençon:
Statistical Learning from Biased Training Samples. - Sheehan Olver, Yuan Xu:
Orthogonal polynomials in and on a quadratic surface of revolution. - Fabian Baumann, Philipp Lorenz-Spreen, Igor M. Sokolov, Michele Starnini:
Modeling echo chambers and polarization dynamics in social networks. - Telmo Felgueira, Silvio Rodrigues, Christian S. Perone, Rui Castro:
The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection. - Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu:
Asymptotic Network Independence in Distributed Optimization for Machine Learning. - Francisco J. Escribano, Alexandre Wagemakers:
Performance Analysis of QAM-MPPM in Turbulence-Free FSO Channels: Accurate Derivations and Practical Approximations. - Ariah Klages-Mundt, Andreea Minca:
(In)Stability for the Blockchain: Deleveraging Spirals and Stablecoin Attacks. - Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Optimizing the spin reversal transform on the D-Wave 2000Q. - Stefan Boettcher:
Analysis of the Relation between Quadratic Unconstrained Binary Optimization (QUBO) and the Spin Glass Ground-State Problem. - Md. Rabiul Islam, Daniel Massicotte, François Nougarou, Philippe Y. Massicotte, Wei-Ping Zhu:
S-ConvNet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images. - Harbir Antil, Deepanshu Verma, Mahamadi Warma:
Optimal Control of Fractional Elliptic PDEs with State Constraints and Characterization of the dual of Fractional Order Sobolev Spaces. - Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos:
A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows. - Julien Barré, Pierre Degond, Diane Peurichard, Ewelina Zatorska:
Modelling pattern formation through differential repulsion. - Laurent Maxit, Marion Berton, Christian Audoly, Daniel Juvé:
Discussion about Different Methods for Introducing the Turbulent Boundary Layer Excitation in Vibroacoustic Models. - Fruzsina Julia Agocs, Will Handley, Anthony N. Lasenby, Michael P. Hobson:
An efficient method for solving highly oscillatory ordinary differential equations with applications to physical systems. - Saray Busto, Maurizio Tavelli, Walter Boscheri, Michael Dumbser:
Efficient high order accurate staggered semi-implicit discontinuous Galerkin methods for natural convection problems. - Ivan Yegorov, Peter M. Dower, Lars Grüne:
Synthesis of control Lyapunov functions and stabilizing feedback strategies using exit-time optimal control. - Jianbo Cui, Jialin Hong, Derui Sheng:
Convergence in Density of Splitting AVF Scheme for Stochastic Langevin Equation. - Elyes Ahmed:
Splitting-based domain decomposition methods for two-phase flow with different rock types. - Tomás Roubícek:
Models of dynamic damage and phase-field fracture, and their various time discretisations.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-01-13 21:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
