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ORCIDCoRR, June 2024
- Mudit Chopra, Abhinav Barnawal, Harshil Vagadia, Tamajit Banerjee, Shreshth Tuli, Souvik Chakraborty, Rohan Paul:
PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators. - Achilleas Filippidis, Nikolaos Marmaras, Michael Maravgakis, Alexandra Plexousaki, Manos Kamarianakis, George Papagiannakis:
VR Isle Academy: A VR Digital Twin Approach for Robotic Surgical Skill Development. - Zhiwei Li, Guodong Long:
Navigating the Future of Federated Recommendation Systems with Foundation Models. - Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo:
Disentangling Specificity for Abstractive Multi-document Summarization. - Yaohua Liu:
A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model. - Arne Binder, Leonhard Hennig, Christoph Alt:
PyTorch-IE: Fast and Reproducible Prototyping for Information Extraction. - Shinnosuke Tanaka, James Barry, Vishnudev Kuruvanthodi, Movina Moses, Maxwell J. Giammona, Nathan Herr, Mohab Elkaref, Geeth De Mel:
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery. - Hang Zhou, Ke Ma, Shixiao Liang, Xiaopeng Li, Xiaobo Qu:
ULTra-AV: A Unified Longitudinal Trajectory Dataset for Automated Vehicle. - Kamalkumar Rathinasamy, Jayarama Nettar, Amit Kumar, Vishal Manchanda, Arun Vijayakumar, Ayush Kataria, Venkateshprasanna Manjunath, Chidambaram GS, Jaskirat Singh Sodhi, Shoeb Shaikh, Wasim Akhtar Khan, Prashant Singh, Tanishq Dattatray Ige, Vipin Tiwari, Rajab Ali Mondal, Harshini K, S. Reka, Chetana Amancharla, Faiz Ur Rahman, Harikrishnan P. A, Indraneel Saha, Bhavya Tiwary, Navin Shankar Patel, Pradeep T. S, Balaji A J, Priyapravas, Mohammed Rafee Tarafdar:
EnterpriseEM: Fine-tuned Embeddings for Enterprise Semantic Search. - Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang:
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. - Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang:
Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. - Jayaprakash Sundararaj:
Thesis: Document Summarization with applications to Keyword extraction and Image Retrieval. - Hajung Kim, Chanhwi Kim, Hoonick Lee, Kyochul Jang, Jiwoo Lee, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang:
KU-DMIS at EHRSQL 2024: Generating SQL query via question templatization in EHR. - Ricardo Loor-Torres, Yuqi Wu, Esteban Cabezas, Mariana Borras, David Toro-Tobon, Mayra Durán, Misk Al Zahidy, Maria Mateo Chavez, Cristian Soto Jacome, Jungwei W. Fan, Naykky M. Singh Ospina, Yonghui Wu, Juan P. Brito:
Use of natural language processing to extract and classify papillary thyroid cancer features from surgical pathology reports. - Lingxi Xiao, Muqing Li, Yinqiu Feng, Meiqi Wang, Ziyi Zhu, Zexi Chen:
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data. - Shezheng Song, Shasha Li, Shan Zhao, Chengyu Wang, Xiaopeng Li, Jie Yu, Qian Wan, Jun Ma, Tianwei Yan, Wentao Ma, Xiaoguang Mao:
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment. - Alessio Buscemi, Daniele Proverbio:
Large Language Models' Detection of Political Orientation in Newspapers. - Jaehee Ryu, Seonhee Cho, Gyubok Lee, Edward Choi:
EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records. - Rebecca Dorn, Lee Kezar, Fred Morstatter, Kristina Lerman:
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias. - Medha Hira, Arnav Goel, Anubha Gupta:
CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning. - Arnav Goel, Medha Hira, Anubha Gupta:
Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning. - Jing Li, Zhijie Sun, Dachao Lin, Xuan He, Yi Lin, Binfan Zheng, Li Zeng, Rongqian Zhao, Xin Chen:
LocMoE+: Enhanced Router with Token Feature Awareness for Efficient LLM Pre-Training. - Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier:
Embedding-Aligned Language Models. - Jiaxing Li, Chi Xu, Feng Wang, Isaac M. von Riedemann, Cong Zhang, Jiangchuan Liu:
SCALM: Towards Semantic Caching for Automated Chat Services with Large Language Models. - Jonathan Fabrizio:
Easy real-time collision detection. - Hèctor Loopez Hidalgo, Michel Boeglin, David Kahn, Josiane Mothe, Diégo Ortiz, David Panzoli:
Adapting PromptORE for Modern History: Information Extraction from Hispanic Monarchy Documents of the XVIth Century. - Seyed Moein Ayyoubzadeh:
Persian Homograph Disambiguation: Leveraging ParsBERT for Enhanced Sentence Understanding with a Novel Word Disambiguation Dataset. - Simon Akesson, Frances Albert Santos:
Clustered Retrieved Augmented Generation (CRAG). - Hanjuan Huang, Hao-Jia Song, Hsing-Kuo Pao:
Large Language Model Pruning. - Achuth Chandrasekhar, Jonathan Chan, Francis Ogoke, Olabode Ajenifujah, Amir Barati Farimani:
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing. - Ying Zhang, Xiaofeng Li, Zhaoyang Liu, Haipeng Zhang:
Paths of A Million People: Extracting Life Trajectories from Wikipedia. - Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner:
Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking. - Tianlong Wang, Xianfeng Jiao, Yifan He, Zhongzhi Chen, Yinghao Zhu, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma:
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. - Abrar Alali, Stephan Olariu:
Reducing the Environmental Impact of Midblock Crossing. - Yinghao Zhu, Changyu Ren, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan:
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling. - Hongyu Yang, Liyang He, Min Hou, Shuanghong Shen, Rui Li, Jiahui Hou, Jianhui Ma, Junda Zhao:
Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering. - Sanath Narayan, Yasser Abdelaziz Dahou Djilali, Ankit Singh, Eustache Le Bihan, Hakim Hacid:
ViSpeR: Multilingual Audio-Visual Speech Recognition. - Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? - Krish Didwania, Dr. Durga Toshniwal, Amit Agarwal:
Unveiling Themes in Judicial Proceedings: A Cross-Country Study Using Topic Modeling on Legal Documents from India and the UK. - Rui Guo, Greg Farnan, Niall McLaughlin, Barry Devereux:
QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM. - Andres Guevara, Juan Achury, Juan Sierra, Sebastian Benavides:
Sistemas de control basados en el estandar grafcet para la alteracion de bombas centrifugas. - Xu Wang, Yuan Wu:
Stochastic Adversarial Networks for Multi-Domain Text Classification. - Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen:
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. - Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin:
Hate Speech Detection with Generalizable Target-aware Fairness. - Francesco Cagnetta, Matthieu Wyart:
Towards a theory of how the structure of language is acquired by deep neural networks. - Gonçalo Rui Alves Faria, Sweta Agrawal, António Farinhas, Ricardo Rei, José G. C. de Souza, André F. T. Martins:
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation. - Xinyi Liu, Pinxin Liu, Hangfeng He:
An Empirical Analysis on Large Language Models in Debate Evaluation. - Suraj Anand, Michael A. Lepori, Jack Merullo, Ellie Pavlick:
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting. - Erwan Escudie, Matthia Sabatelli, Jilles Dibangoye:
ε-Optimally Solving Zero-Sum POSGs. - Jubin Thomas:
Optimizing Bio-energy Supply Chain to Achieve Alternative Energy Targets. - Nick Alonso, Tomas Figliolia, Anthony Ndirango, Beren Millidge:
Toward Conversational Agents with Context and Time Sensitive Long-term Memory. - Yechen Xu, Xinhao Kong, Tingjun Chen, Danyang Zhuo:
Conveyor: Efficient Tool-aware LLM Serving with Tool Partial Execution. - Congchao Wang, Sean Augenstein, Keith Rush, Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Aditya Krishna Menon, Alec Go:
Cascade-Aware Training of Language Models. - Megan Flynn, Alexander Wang, Dean Edward Alvarez, Christopher De Sa, Anil Damle:
STAT: Shrinking Transformers After Training. - David Pissarra, Isabel Curioso, João Alveira, Duarte Pereira, Bruno Ribeiro, Tomas Souper, Vasco Gomes, André V. Carreiro, Vitor Rolla:
Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study. - Matthew Avaylon, Ryan Ly, Andrew J. Tritt, Benjamin K. Dichter, Kristofer E. Bouchard, Christopher J. Mungall, Oliver Rübel:
Methods for Linking Data to Online Resources and Ontologies with Applications to Neurophysiology. - Pranav Gupta, Anastasia S. Bizyaeva, Ravi N. Banavar:
Estimates on the domain of validity for Lyapunov-Schmidt reduction. - Chengwei Wei, Kee Kiat Koo, Amir Tavanaei, Karim Bouyarmane:
Confidence-Aware Sub-Structure Beam Search (CABS): Mitigating Hallucination in Structured Data Generation with Large Language Models. - Coleman DuPlessie, Aidan Gao:
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning. - Alexandre Galvão Patriota:
Arbitrary-Length Generalization for Addition in a Tiny Transformer. - Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang:
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. - Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl:
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. - Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl:
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs. - Eran Ben-Haim, Sefi Givli, Yizhar Or, Amir D. Gat:
Multistable Physical Neural Networks. - Jiaqi Xue, Mengxin Zheng, Yebowen Hu, Fei Liu, Xun Chen, Qian Lou:
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models. - Katherine Van Koevering, Jon M. Kleinberg:
How Random is Random? Evaluating the Randomness and Humaness of LLMs' Coin Flips. - Zeyi Sun, Tong Wu, Pan Zhang, Yuhang Zang, Xiaoyi Dong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang:
Bootstrap3D: Improving 3D Content Creation with Synthetic Data. - Samuel Duffield, Kaelan Donatella, Johnathan Chiu, Phoebe Klett, Daniel Simpson:
Scalable Bayesian Learning with posteriors. - Bao Liu, Tianbao Liu, Zhongshuo Hu, Fei Ye, Lei Gao:
Dynamic Multi-Objective Lion Swarm Optimization with Multi-strategy Fusion: An application in 6R robot trajectory planning. - Hanxian Huang, Zhenghan Lin, Zixuan Wang, Xin Chen, Ke Ding, Jishen Zhao:
Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction. - Eura Nofshin, Esther Brown, Brian Lim, Weiwei Pan, Finale Doshi-Velez:
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning. - Katayoun Kobraei, Mehrdad Baradaran, Seyed Mohsen Sadeghi, Raziyeh Masumshah, Changiz Eslahchi:
ADEP: A Novel Approach Based on Discriminator-Enhanced Encoder-Decoder Architecture for Accurate Prediction of Adverse Effects in Polypharmacy. - Melanie Schmidt-Wolf, Tyler Becker, Denielle Oliva, Monica N. Nicolescu, David Feil-Seifer:
Through the Clutter: Exploring the Impact of Complex Environments on the Legibility of Robot Motion. - Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith:
Reward Machines for Deep RL in Noisy and Uncertain Environments. - Tiancheng Shen, Jun Hao Liew, Long Mai, Lu Qi, Jiashi Feng, Jiaya Jia:
Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations. - Kevin Christian Wibisono, Yixin Wang:
How In-Context Learning Emerges from Training on Unstructured Data: On the Role of Co-Occurrence, Positional Information, and Noise Structures. - Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic:
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation. - Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa:
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. - Ocheme Anthony Ekle, William Eberle:
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey. - Youssef Mohamed, Zeyad Youssef, Ahmed Heakl, Ahmed B. Zaky:
Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learning. - Xiaolong Sun, Liushuai Shi, Le Wang, Sanping Zhou, Kun Xia, Yabing Wang, Gang Hua:
Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding. - Akshay Badagabettu, Sai Sravan Yarlagadda, Amir Barati Farimani:
Query2CAD: Generating CAD models using natural language queries. - Matej Bozic, Marko Horvat:
A Survey of Deep Learning Audio Generation Methods. - Alireza Fallah, Michael I. Jordan, Annie Ulichney:
Fair Allocation in Dynamic Mechanism Design. - Eric Balkanski, Steven DiSilvio, Alan Kuhnle:
Submodular Maximization in Exactly n Queries. - Yilin Zheng, Atilla Eryilmaz:
Non-Federated Multi-Task Split Learning for Heterogeneous Sources. - Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon, Irina Rish, Eugene Belilovsky:
μLO: Compute-Efficient Meta-Generalization of Learned Optimizers. - Sowmya Chandrasekaran, Thomas Bartz-Beielstein:
A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity. - Ali ArjomandBigdeli, Andrew Mata, Stanley Bak:
Verification of Neural Network Control Systems in Continuous Time. - Benjamin Brock, Robert Cohn, Suyash Bakshi, Tuomas Karna, Jeongnim Kim, Mateusz Nowak, Lukasz Slusarczyk, Kacper Stefanski, Timothy G. Mattson:
Distributed Ranges: A Model for Distributed Data Structures, Algorithms, and Views. - Giosuè Baggio, Elliot Murphy:
On the referential capacity of language models: An internalist rejoinder to Mandelkern & Linzen. - Yongge Yang, Yu-Ching Lee, Po-An Chen, Chuang-Chieh Lin:
Robustness of Online Proportional Response in Stochastic Online Fisher Markets: a Decentralized Approach. - Dao Thanh Hai, Minh Nguyen, Isaac Woungang:
Optical-computing-enabled Network: A New Dawn for Optical-layer Intelligence? - Pratik Harsh, Hongjian Sun, Debapriya Das, Goyal Awagan, Jing Jiang:
A Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Solar, Battery, Electric Vehicles, and Controllable Loads. - Sebastian Otte:
Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection. - Bernd Bohnet, Kevin Swersky, Rosanne Liu, Pranjal Awasthi, Azade Nova, Javier Snaider, Hanie Sedghi, Aaron T. Parisi, Michael Collins, Angeliki Lazaridou, Orhan Firat, Noah Fiedel:
Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation. - Jerin Yasmin, Jiale Wang, Yuan Tian, Bram Adams:
An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow. - Huong Nguyen, Tri Nguyen, Lauri Lovén, Susanna Pirttikangas:
Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation. - Swathi Narashiman, Venkat A, Divyaratna Joshi, Deepak Sridhar, Harish Rajesh, Sanjay Sattva, Aniruddha S, Jayanth B, Varun Manjunath, Ragavendiran N:
Chiplets on Wheels: Review Paper on Holistic Chiplet Solutions for Autonomous Vehicles. - Dmitry Alexandrovsky, Kathrin Gerling, Merlin Steven Opp, Christopher Benjamin Hahn, Max V. Birk, Meshaiel M. Alsheail:
Disengagement From Games: Characterizing the Experience and Process of Exiting Play Sessions. - Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang:
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. - Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision. - Ilya Shenbin, Sergey I. Nikolenko:
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering. - Gregory Schwartzman:
Exfiltration of personal information from ChatGPT via prompt injection. - John T. Halloran, Manbir Gulati, Paul F. Roysdon:
Mamba State-Space Models Can Be Strong Downstream Learners. - Jinchao Zhu, Yuxuan Wang, Siyuan Pan, Pengfei Wan, Di Zhang, Gao Huang:
A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies. - Yufei Huang, Yulin Li, Andrea Matta, Mohsen Jafari:
Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active Inference. - Kamesh Munagala, Govind S. Sankar:
Individual Fairness in Graph Decomposition. - Jie JW Wu, Fatemeh H. Fard:
Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent. - Michail Mamalakis, Héloïse de Vareilles, Graham K. Murray, Pietro Lio, John Suckling:
The Explanation Necessity for Healthcare AI. - Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake:
Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather. - Gonzalo Navarro, Alejandro Pacheco:
Counting on General Run-Length Grammars. - Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister:
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training. - Ian DeHaan, Kanstantsin Pashkovich:
Matroid Bayesian Online Selection. - Kristi Doleh, Leonard Humphrey, Chandler M. Linseisen, Michael D. Kitcher, Joanna M. Martin, Can Cui, Jean Anne C. Incorvia, Felipe García-Sánchez, Naimul Hassan, Alexander J. Edwards, Joseph S. Friedman:
Kinematic Model of Magnetic Domain Wall Motion for Fast, High-Accuracy Simulations. - William Hogan, Jingbo Shang:
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction. - Haoan Feng, Xin Xu, Leila De Floriani:
ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis. - Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Huazheng Wang, Lizhong Chen:
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. - Ziyi Zhang, Yorie Nakahira, Guannan Qu:
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. - Ana Dodik, Vincent Sitzmann, Justin Solomon, Oded Stein:
Robust Biharmonic Skinning Using Geometric Fields. - Nurul Rafi, Pablo Rivas:
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing. - Frank Weizhen Liu, Chenhui Hu:
Exploring Vulnerabilities and Protections in Large Language Models: A Survey. - Nate Rahn, Pierluca D'Oro, Marc G. Bellemare:
Controlling Large Language Model Agents with Entropic Activation Steering. - Navid Mehrdad, Hrushikesh Mohapatra, Mossaab Bagdouri, Prijith Chandran, Alessandro Magnani, Xunfan Cai, Ajit Puthenputhussery, Sachin Yadav, Tony Lee, ChengXiang Zhai, Ciya Liao:
Large Language Models for Relevance Judgment in Product Search. - Mina Rafiei, Mohammadmahdi Maheri, Hamid R. Rabiee:
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning. - Julian Hyde, John Fremlin:
Measures in SQL. - Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Weijie J. Su, Camillo J. Taylor, Tanwi Mallick:
Multi-Modal and Multi-Agent Systems Meet Rationality: A Survey. - Zehao Huang, Gancheng Zhu, Xiaoting Duan, Rong Wang, Yongkai Li, Shuai Zhang, Zhiguo Wang:
Measuring eye-tracking accuracy and its impact on usability in apple vision pro. - Mohamed Seif, Yuqi Nie, Andrea Goldsmith, H. Vincent Poor:
Over-the-Air Collaborative Inference with Feature Differential Privacy. - Mohammed Saidul Islam, Raian Rahman, Ahmed Masry, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, Enamul Hoque:
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs. - Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David S. Doermann, Qixiang Ye, Yunjie Tian:
Artemis: Towards Referential Understanding in Complex Videos. - Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa:
PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify. - Sifan Song, Jinfeng Wang, Qiaochu Zhao, Xiang Li, Dufan Wu, Angelos Stefanidis, Jionglong Su, S. Kevin Zhou, Quanzheng Li:
Contrastive Learning Via Equivariant Representation. - Raehyuk Jung, Sungmin Cho, Junseok Kwon:
Upright adjustment with graph convolutional networks. - AmirHossein Zamani, Amir G. Aghdam, Tiberiu Popa, Eugene Belilovsky:
Temporally Consistent Object Editing in Videos using Extended Attention. - Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang:
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. - Shengyu Tao, Mengtian Zhang, Zixi Zhao, Haoyang Li, Ruifei Ma, Yunhong Che, Xin Sun, Lin Su, Xiangyu Chen, Zihao Zhou, Heng Chang, Tingwei Cao, Xiao Xiao, Yaojun Liu, Wenjun Yu, Zhongling Xu, Yang Li, Han Hao, Xuan Zhang, Xiaosong Hu, Guangmin Zhou:
Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learning. - Dipankar Chaki, Athman Bouguettaya, Abdallah Lakhdari:
Impact Conflict Detection of IoT Services in Multi-resident Smart Homes. - Jintai Chen, Zhen Lin, Qiyuan Chen, Jimeng Sun:
Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data. - Chengzeng You, Zhongyuan Hau, Binbin Xu, Soteris Demetriou:
Adversarial 3D Virtual Patches using Integrated Gradients. - Long Hei Matthew Lam, Ehsan Shareghi:
A Closer Look at Logical Reasoning with LLMs: The Choice of Tool Matters. - Steven A. Grosz, Anil K. Jain:
GenPalm: Contactless Palmprint Generation with Diffusion Models. - Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos:
Neural Optimal Transport with Lagrangian Costs. - Eduardo Reis, Thangarajah Akilan, Mohammed Khalid:
Phasor-Driven Acceleration for FFT-based CNNs. - Yiyang Zhao, Linnan Wang, Tian Guo:
Multi-objective Neural Architecture Search by Learning Search Space Partitions. - Manuel Cherep, Nikhil Singh, Jessica Shand:
Creative Text-to-Audio Generation via Synthesizer Programming. - Olivier Massicot, Cédric Langbort:
On Network Congestion Reduction Using Public Signals Under Boundedly Rational User Equilibria (Full Version). - Parsa Moradi, Behrooz Tahmasebi, Mohammad Ali Maddah-Ali:
Coded Computing: A Learning-Theoretic Framework. - Guoxing Yao, Lav Gupta:
A Survey on the Use of Partitioning in IoT-Edge-AI Applications. - Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi:
FedAST: Federated Asynchronous Simultaneous Training. - Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok:
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning. - Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le:
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model. - Abdulhalim Fayad, Tibor Cinkler, Jacek Rak:
Toward 6G Optical Fronthaul: A Survey on Enabling Technologies and Research Perspectives. - Wugang Meng, Tianfu Wu, Huan Yin, Fumin Zhang:
NuRF: Nudging the Particle Filter in Radiance Fields for Robot Visual Localization. - Raul Steinmetz, Victor Augusto Kich, Henrique L. Krever, Joao D. Rigo Mazzarolo, Ricardo B. Grando, Vinicius Marini, Celio Trois, Ard Nieuwenhuizen:
From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance Segmentation. - Sarthak Harne, Monjoy Narayan Choudhury, Madhav Rao, TK Srikanth, Seema Mehrotra, Apoorva Vashisht, Aarushi Basu, Manjit Sodhi:
CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Models. - Victor Augusto Kich, Muhammad A. Muttaqien, Junya Toyama, Ryutaro Miyoshi, Yosuke Ida, Akihisa Ohya, Hisashi Date:
Precision and Adaptability of YOLOv5 and YOLOv8 in Dynamic Robotic Environments. - Yubo Wang, Hao Xin, Lei Chen:
KGLink: A column type annotation method that combines knowledge graph and pre-trained language model. - Yongqi Wang, Wenxiang Guo, Rongjie Huang, Jiawei Huang, Zehan Wang, Fuming You, Ruiqi Li, Zhou Zhao:
Frieren: Efficient Video-to-Audio Generation with Rectified Flow Matching. - Qile Fan, Penghang Yu, Zhiyi Tan, Bing-Kun Bao, Guanming Lu:
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation. - Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo:
Do's and Don'ts: Learning Desirable Skills with Instruction Videos. - Yixiong Chen, Zongwei Zhou, Alan L. Yuille:
Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets. - Alexander Munteanu, Simon Omlor:
Optimal bounds for ℓp sensitivity sampling via ℓ2 augmentation. - Fahimeh Fakour, Ali Mosleh, Ramin Ramezani:
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning. - Dugang Liu, Shenxian Xian, Xiaolin Lin, Xiaolian Zhang, Hong Zhu, Yuan Fang, Zhen Chen, Zhong Ming:
A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation. - Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Xiaopeng Hong, Yongjian Wu, Rongrong Ji:
Image Captioning via Dynamic Path Customization. - Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming:
Benchmarking for Deep Uplift Modeling in Online Marketing. - Ka I Chan, Yuntao Wang, Siying Hu, Bo Hei, Zhicong Lu, Pei-Luen Patrick Rau, Yuanchun Shi:
The Odyssey Journey: Hemifacial Spasm Patients' Top-Tier Medical Resource Seeking in China from an Actor-Network Perspective. - Mark Ainsworth, Charles Parker:
Two and three dimensional H2-conforming finite element approximations without C1-elements. - Alexander Munteanu, Simon Omlor:
Turnstile ℓp leverage score sampling with applications. - Millicent Ochieng, Varun Gumma, Sunayana Sitaram, Jindong Wang, Vishrav Chaudhary, Keshet Ronen, Kalika Bali, Jacki O'Neill:
Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios. - Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Richard Peng, Yixiang Fang, Chenhao Ma:
Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index. - Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li:
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. - Cheng Xu, Fei Hou, Wencheng Wang, Hong Qin, Zhebin Zhang, Ying He:
Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction. - Hanxiao Wang, Mingyang Zhao, Weize Quan, Zhen Chen, Dongming Yan, Peter Wonka:
E3-Net: Efficient E(3)-Equivariant Normal Estimation Network. - Wadii Boulila, Eman Alshanqiti, Ayyub Alzahem, Anis Koubaa, Nabil Mlaiki:
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image Classification. - Ken-ichi Kawarabayashi, Mikkel Thorup, Hirotaka Yoneda:
Better coloring of 3-colorable graphs. - Hannah B. Pasandi, Faith Parastar:
Location Privacy in B5G/6G: Systematization of Knowledge. - Malik Zohaib Nisar, Muhammad Sohail Ibrahim, Muhammad Usman, Jeong-A Lee:
L2R-CIPU: Efficient CNN Computation with Left-to-Right Composite Inner Product Units. - Hisayoshi Muramatsu:
Quasi-periodic Disturbance Observer for Wideband Harmonic Suppression. - Chuang Wang, Lie Yang, Ze Lin, Yizhi Liao, Gang Chen, Longhan Xie:
Cognitive Manipulation: Semi-supervised Visual Representation and Classroom-to-real Reinforcement Learning for Assembly in Semi-structured Environments. - Md. Mostafizer Rahman, Ariful Islam Shiplu, Yutaka Watanobe, Md. Ashad Alam:
RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis. - Valerii Iakovlev, Harri Lähdesmäki:
Modeling Randomly Observed Spatiotemporal Dynamical Systems. - Maurício Sousa, Daniel Mendes, Alfredo Ferreira, João Madeiras Pereira, Joaquim A. Jorge:
Eery Space: Facilitating Virtual Meetings Through Remote Proxemics. - Kazuhiro Hiraki, Shinichi Ishihara, Junnosuke Shino:
Alternative Methods to SHAP Derived from Properties of Kernels: A Note on Theoretical Analysis. - Xinhao He, Dan Li:
Performance Evaluation of Damping Systems in Civil Engineering Structures Via Minimal Sensor. - José Miguel Moreno, Narseo Vallina-Rodriguez, Juan Tapiador:
Did I Vet You Before? Assessing the Chrome Web Store Vetting Process through Browser Extension Similarity. - Snehasis Banerjee, Sayan Paul, Ruddra Dev Roychoudhury, Abhijan Bhattacharyya, Chayan Sarkar, Ashis Sau, Pradip Pramanick, Brojeshwar Bhowmick:
Teledrive: An Embodied AI based Telepresence System. - Yuhan Wu, Hanbo Wu, Xilai Liu, Yikai Zhao, Tong Yang, Kaicheng Yang, Sha Wang, Lihua Miao, Gaogang Xie:
Approaching 100% Confidence in Stream Summary through ReliableSketch. - Chujie Gao, Qihui Zhang, Dongping Chen, Yue Huang, Siyuan Wu, Zhengyan Fu, Yao Wan, Xiangliang Zhang, Lichao Sun:
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model. - Baoyue Zhang, Yajing Zheng, Shiyan Chen, Jiyuan Zhang, Kang Chen, Zhaofei Yu, Tiejun Huang:
SpikeMM: Flexi-Magnification of High-Speed Micro-Motions. - Matan Rusanovsky, Or Hirschorn, Shai Avidan:
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation. - Saya Higuchi, Sander M. Bohté, Sebastian Otte:
Understanding the Convergence in Balanced Resonate-and-Fire Neurons. - Nhi Ngoc-Yen Nguyen, Le-Huy Tu, Dieu-Phuong Nguyen, Nhat-Tan Do, Minh Triet Thai, Bao-Thien Nguyen-Tat:
DS@BioMed at ImageCLEFmedical Caption 2024: Enhanced Attention Mechanisms in Medical Caption Generation through Concept Detection Integration. - Jonathan Cook, Chris Lu, Edward Hughes, Joel Z. Leibo, Jakob N. Foerster:
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning. - Raysa M. Benatti, Fabiana C. Severi, Sandra Avila, Esther Luna Colombini:
Gender Bias Detection in Court Decisions: A Brazilian Case Study. - Riccardo Massidda, Sara Magliacane, Davide Bacciu:
Learning Causal Abstractions of Linear Structural Causal Models. - Youngkyoung Bae, Yeongwoo Song, Hawoong Jeong:
Stochastic Restarting to Overcome Overfitting in Neural Networks with Noisy Labels. - Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen, Jia Wu, Xiantao Cai, Bo Du, Wenbin Hu:
Dual-perspective Cross Contrastive Learning in Graph Transformers. - Lihao Wang, Zhaofei Yu:
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks. - Muhammad Asad Tariq, Rafay Junaid, Muhammad Mehdy Hasnain, Danyal Farhat:
Computer Simulation of DNA Computing-Based Boolean Matrix Multiplication. - Mazen Balat, Youssef Mohamed, Ahmed Heakl, Ahmed B. Zaky:
Arabic Handwritten Text for Person Biometric Identification: A Deep Learning Approach. - Jaeseung Heo, Moonjeong Park, Dongwoo Kim:
Posterior Label Smoothing for Node Classification. - Xuan Wu, Di Wang, Lijie Wen, Yubin Xiao, Chunguo Wu, Yuesong Wu, Chaoyu Yu, Douglas L. Maskell, You Zhou:
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives. - Nimrah Mustafa, Rebekka Burkholz:
GATE: How to Keep Out Intrusive Neighbors. - Le Zheng, Jiajie Zheng, Jiajian Lin, Chongru Liu:
Modal Analysis of Power System with High CIG Penetration Based on Impedance Models. - Luis Rei, Dunja Mladenic, Mareike Dorozynski, Franz Rottensteiner, Thomas Schleider, Raphaël Troncy, Jorge Sebastián Lozano, Mar Gaitán Salvatella:
Multimodal Metadata Assignment for Cultural Heritage Artifacts. - Eduardo Camps-Moreno, Hiram H. López, Gretchen L. Matthews, Emily McMillon:
Toward Quantum CSS-T Codes from Sparse Matrices. - Jacob Si, Wendy Yusi Cheng, Michael Cooper, Rahul G. Krishnan:
InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation. - Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
You Only Need Less Attention at Each Stage in Vision Transformers. - Zheng Qin, Le Wang, Sanping Zhou, Panpan Fu, Gang Hua, Wei Tang:
Towards Generalizable Multi-Object Tracking. - Zhi Zheng, Qian Feng, Hang Li, Alois Knoll, Jianxiang Feng:
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners. - Minsu Kim, Walid Saad, Mérouane Debbah, Choong Seon Hong:
SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead. - Xing Cui, Peipei Li, Zekun Li, Xuannan Liu, Yueying Zou, Zhaofeng He:
Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner. - Qingming Liu, Yuan Liu, Jiepeng Wang, Xianqiang Lv, Peng Wang, Wenping Wang, Junhui Hou:
MoDGS: Dynamic Gaussian Splatting from Causually-captured Monocular Videos. - Frederik Glitzner, David F. Manlove:
Structural and algorithmic results for stable cycles and partitions in the Roommates problem. - Houston Warren, Rafael Oliveira, Fabio Ramos:
Stein Random Feature Regression. - Jia Zeng, Qingwen Bu, Bangjun Wang, Wenke Xia, Li Chen, Hao Dong, Haoming Song, Dong Wang, Di Hu, Ping Luo, Heming Cui, Bin Zhao, Xuelong Li, Yu Qiao, Hongyang Li:
Learning Manipulation by Predicting Interaction. - Xuanchen Li, Yuhao Cheng, Xingyu Ren, Haozhe Jia, Di Xu, Wenhan Zhu, Yichao Yan:
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture. - Feiyu Zhu, Yuming Zhang, Changpeng Cai, Guinan Guo, Jiao Li, Xiuyuan Guo, Quanwei Zhang, Peizhe Wang, Chenghao He, Junhao Su:
GLCAN: Global-Local Collaborative Auxiliary Network for Local Learning. - Ahmed Heakl, Fatma Youssef, Victor Parque, Walid Gomaa:
DroneVis: Versatile Computer Vision Library for Drones. - Yuehao Wang, Chaoyi Wang, Bingchen Gong, Tianfan Xue:
Bilateral Guided Radiance Field Processing. - Karan Mirakhor, Sourav Ghosh, Dipanjan Das, Brojeshwar Bhowmick:
Task Planning for Object Rearrangement in Multi-room Environments. - Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu:
Towards a Unified Framework of Clustering-based Anomaly Detection. - Zijie Zhong, Hanwen Liu, Xiaoya Cui, Xiaofan Zhang, Zengchang Qin:
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation. - Hidir Yesiltepe, Yusuf Dalva, Pinar Yanardag:
The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP. - Truong Son Hy, Thieu Khang, Risi Kondor:
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics. - Shiwei Cheng, Jialing Wang:
MI 2 MI: Training Dyad with Collaborative Brain-Computer Interface and Cooperative Motor Imagery Tasks for Better BCI Performance. - Mustafa Sakhai, Szymon Mazurek, Jakub Caputa, Jan K. Argasinski, Maciej Wielgosz:
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors. - Zimin Xia, Yujiao Shi, Hongdong Li, Julian F. P. Kooij:
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth. - Jihu Lei:
Green Supply Chain Management Optimization Based on Chemical Industrial Clusters. - Duojun Huang, Xinyu Xiong, Jie Ma, Jichang Li, Zequn Jie, Lin Ma, Guanbin Li:
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning. - Manogna Sreenivas, Soma Biswas:
Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation. - Robin Schiewer, Anand Subramoney, Laurenz Wiskott:
Exploring the limits of Hierarchical World Models in Reinforcement Learning. - Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni:
Optimistic Rates for Learning from Label Proportions. - Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
Federated Model Heterogeneous Matryoshka Representation Learning. - Wei Jiang, Sifan Yang, Wenhao Yang, Lijun Zhang:
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction. - Jingyu Zhang, Jin Cao, Jinghao Chang, Xinjin Li, Houze Liu, Zhenglin Li:
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology. - Siqi Fan, Yuxin Zhong, I-Hong Hou, Clement Kai-Ming Kam:
Optimizing Age of Information in Random Access Networks: A Second-Order Approach for Active/Passive Users. - Hongzhan Yu, Sicun Gao:
Activation-Descent Regularization for Input Optimization of ReLU Networks. - Laura S. Tinnel, O. Sami Saydjari, Dave Farrell:
Cyberwar Strategy and Tactics: An Analysis of Cyber Goals, Strategies, Tactics, and Techniques. - Xiaoqian Liu, Guoqiang Hu, Yangfan Du, Erfeng He, Yingfeng Luo, Chen Xu, Tong Xiao, Jingbo Zhu:
Recent Advances in End-to-End Simultaneous Speech Translation. - Ioana Radulescu, Alexandra Baicoianu, Adela Mihai:
Conformal Transformation of Kernels: A Geometric Perspective on Text Classification. - Biao Wu, Diankai Zhang, Si Gao, Chengjian Zheng, Shaoli Liu, Ning Wang:
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation. - Luigi Capogrosso, Federico Girella, Francesco Taioli, Michele Dalla Chiara, Muhammad Aqeel, Franco Fummi, Francesco Setti, Marco Cristani:
Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection. - Haobin Chen, Junyu Tao, Bize Zhou, Xiaoyan Liu:
Research on an Autonomous UAV Search and Rescue System Based on the Improved. - Jun Young Koh, Sang Hyun Park, Joy Song:
Improving Text Generation on Images with Synthetic Captions. - Shichao Sun, Ruifeng Yuan, Ziqiang Cao, Wenjie Li, Pengfei Liu:
Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization. - Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, Jiwen Lu:
FlowIE: Efficient Image Enhancement via Rectified Flow. - Jordan K. Matelsky, Lyle H. Ungar, Konrad P. Kording:
Empirical influence functions to understand the logic of fine-tuning. - Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li:
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection. - Marcos Faúndez-Zanuy, Moisés Díaz:
On the use of first and second derivative approximations for biometric online signature recognition. - Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, Sunghun Kim:
A Survey on Large Language Models for Code Generation. - Jiawei Cao, Chongtao Guo, Hao Li, Zhigang Wang, Houjun Wang, Geoffrey Ye Li:
Deep Learning based Performance Testing for Analog Integrated Circuits. - Andrej Orsula:
Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning. - Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang:
Learning Discrete Concepts in Latent Hierarchical Models. - Kailun Yan, Xiaokuan Zhang, Wenrui Diao:
Stealing Trust: Unveiling Vulnerabilities in Web3 Authentication. - Vamsi Sai Ranga Sri Harsha Mangina:
Adaptive boosting with dynamic weight adjustment. - Mohannad Z. Naser, Ahmad Z. Naser:
The Firefighter Algorithm: A Hybrid Metaheuristic for Optimization Problems. - Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam Sakla, Jayaraman J. Thiagarajan:
On the Use of Anchoring for Training Vision Models. - Samita Bai, Sidra Nasir, Rizwan Ahmed Khan, Sheeraz Arif, Alexandre Meyer, Hubert Konik:
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques. - Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède:
Causal Contrastive Learning for Counterfactual Regression Over Time. - Lucas Valadares Vieira, Mara Abel, Fabrício Henrique Rodrigues, Tiago Prince Sales, Claudenir M. Fonseca:
Towards an ontology of portions of matter to support multi-scale analysis and provenance tracking. - Wei Jiang, Hans D. Schotten:
Cost-Effectiveness Analysis and Design of Cost-Efficient Cell-Free Massive MIMO Systems. - Linhui Huang, Sayeri Lala, Niraj K. Jha:
CONFINE: Conformal Prediction for Interpretable Neural Networks. - Siyi Wang, Yulong Gao, Sandra Hirche:
Optimal Transmission Power Scheduling for Networked Control System under DoS Attack. - Akshay Karkal Kamath, Bharath Kumar, Sunil Aggarwal, Subramanian Parameswaran, Parag Lonkar, Debi Prasanna, Somasunder Sreenath:
An Automated Validation Framework for Power Management and Data Retention Logic Kits of Standard Cell Library. - Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri:
Leveraging Knowlegde Graphs for Interpretable Feature Generation. - Xinyue Chen, Miaojing Shi:
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation. - Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao:
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. - Anindita Sarkar Mondal, Madhupa Sanyal, Ari Kusumastuti, Hrishav Bakul Barua, Kartick Chandra Mondal:
Demystifying Object-based Big Data Storage Systems. - Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu:
Strategic Linear Contextual Bandits. - Saurabh Bajaj, Hui Guan, Marco Serafini:
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch. - Phoebe J. Wang, Max Kreminski:
Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming. - Bamelak Tadele, Faouzi Bellili, Amine Mezghani, Md Jawwad Chowdhury, Haseeb Ur Rehman:
Lens-Type Redirective Intelligent Surfaces for Multi-User MIMO Communication. - Guglielmo Padula, Michele Girfoglio, Gianluigi Rozza:
A brief review of Reduced Order Models using intrusive and non-intrusive techniques. - Mariana Coutinho, Lorena Marques, Anderson Santos, Márcio Dahia, César França, Ronnie de Souza Santos:
The Role of Generative AI in Software Development Productivity: A Pilot Case Study. - Ella Tamir, Arno Solin:
Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models. - Heidi C. Zhang, Sina J. Semnani, Farhad Ghassemi, Jialiang Xu, Shicheng Liu, Monica S. Lam:
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing. - Milad Johnny, Shahrokh Valaee:
Reflection Map Construction: Enhancing and Speeding Up Indoor Localization. - Berken Utku Demirel, Christian Holz:
An Unsupervised Approach for Periodic Source Detection in Time Series. - Siamak Biglari, Ruixiao Huang, Hui Zhao, Saraju P. Mohanty:
Designing Reconfigurable Interconnection Network of Heterogeneous Chiplets Using Kalman Filter. - Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar:
Redefining Contributions: Shapley-Driven Federated Learning. - Daniel Waxman, Petar M. Djuric:
A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers. - Elisha Dayag, Kevin Bui, Fredrick Park, Jack Xin:
An Image Segmentation Model with Transformed Total Variation. - Mohit Prabhushankar, Ghassan AlRegib:
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability. - Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata:
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding. - Yanlin Feng, Sajjadur Rahman, Aaron Feng, Vincent Chen, Eser Kandogan:
CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems. - Eser Kandogan, Sajjadur Rahman, Nikita Bhutani, Dan Zhang, Rafael Li Chen, Kushan Mitra, Sairam Gurajada, Pouya Pezeshkpour, Hayate Iso, Yanlin Feng, Hannah Kim, Chen Shen, Jin Wang, Estevam Hruschka:
A Blueprint Architecture of Compound AI Systems for Enterprise. - Han Zhang, Zifan Wang, Mihir Dhamankar, Matt Fredrikson, Yuvraj Agarwal:
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices. - Biao Wu, Diankai Zhang, Si Gao, Chengjian Zheng, Shaoli Liu, Ning Wang:
Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024. - Lijia Yu, Shuang Liu, Yibo Miao, Xiao-Shan Gao, Lijun Zhang:
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack. - Zhuang Qi, Junlin Zhang, Xin Qi:
Robust Visual Tracking via Iterative Gradient Descent and Threshold Selection. - Basileal Imana, Aleksandra Korolova, John S. Heidemann:
Auditing for Racial Discrimination in the Delivery of Education Ads. - Dimitri P. Bertsekas:
Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming. - Jimmy Xuekai Li, Tiancheng Zhang, Yiran Zhu, Zhongwei Chen:
Artificial General Intelligence (AGI) for the oil and gas industry: a review. - Akira Sakurai, Kazuyuki Shudo:
Model-based Analysis of Mining Fairness in a Blockchain. - Xiaoqiao Chen:
Multi-variable Adversarial Time-Series Forecast Model. - Massiagbe Diabate, Timothy Vriend, Harish S. Krishnamoorthy, Jian Shi:
Hydrogen and Battery Based Energy Storage System (ESS) for Future DC Microgrids. - Austin Peng:
Efficient Neural Light Fields (ENeLF) for Mobile Devices. - Sharmila Duppala, Juan Luque, John P. Dickerson, Seyed A. Esmaeili:
Robust Fair Clustering with Group Membership Uncertainty Sets. - Minjong Cheon:
Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing. - Weipeng Jiang, Xuanqi Gao, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen:
From Effectiveness to Efficiency: Comparative Evaluation of Code Generated by LCGMs for Bilingual Programming Questions. - Liang Zhao, Tianwen Wei, Liang Zeng, Cheng Cheng, Liu Yang, Peng Cheng, Lijie Wang, Chenxia Li, Xuejie Wu, Bo Zhu, Yimeng Gan, Rui Hu, Shuicheng Yan, Han Fang, Yahui Zhou:
LongSkywork: A Training Recipe for Efficiently Extending Context Length in Large Language Models. - Ke Ji, Junying Chen, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang:
LLMs Could Autonomously Learn Without External Supervision. - Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Frühstück:
SuperGaussian: Repurposing Video Models for 3D Super Resolution. - Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J. Getzen, Qi Long, Mayur Naik, Ravi B. Parikh, Eric Wong:
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation. - Yunhyeok Kwak, Inwoo Hwang, Dooyoung Kim, Sanghack Lee, Byoung-Tak Zhang:
Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction. - Yukun Jiang, Leo Guo, Xinyi Chen, Jing Xi Liu:
Making Recommender Systems More Knowledgeable: A Framework to Incorporate Side Information. - Jian Geng, Hongzhi Wang, Yu Yan:
EMIT: Micro-Invasive Database Configuration Tuning. - Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long:
Maximum k-Plex Search: An Alternated Reduction-and-Bound Method. - Jewel Rana Palit, Osama A Osman:
A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections. - Yepeng Ding, Hiroyuki Sato:
Model-Driven Security Analysis of Self-Sovereign Identity Systems. - Mohammadreza Doostmohammadian, Muhammad I. Qureshi, Mohammad Hossein Khalesi, Hamid R. Rabiee, Usman A. Khan:
Log-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data. - Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan L. Yuille:
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering. - Yun Peng, Xiao Lin, Nachuan Ma, Jiayuan Du, Chuangwei Liu, Chengju Liu, Qijun Chen:
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection. - Zhouyao Xie, Nikhil Yadala, Xinyi Chen, Jing Xi Liu:
Intelligent Text-Conditioned Music Generation. - Xun Liu, Zhengwei Ni:
Prompt Framework for Role-playing: Generation and Evaluation. - Garrett Crumrine, Izzat Alsmadi, Jesus Guerrero, Yuvaraj Munian:
Transforming Computer Security and Public Trust Through the Exploration of Fine-Tuning Large Language Models. - Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu:
Correlation Matching Transformation Transformers for UHD Image Restoration. - Jiaying Zhou, Mingzhou Jiang, Junde Wu, Jiayuan Zhu, Ziyue Wang, Yueming Jin:
MGI: Multimodal Contrastive pre-training of Genomic and Medical Imaging. - Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin:
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. - Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai:
Improving GFlowNets for Text-to-Image Diffusion Alignment. - Taeryung Lee, Fabien Baradel, Thomas Lucas, Kyoung Mu Lee, Grégory Rogez:
T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences. - Chunjin Song, Zhijie Wu, Bastian Wandt, Leonid Sigal, Helge Rhodin:
Representing Animatable Avatar via Factorized Neural Fields. - Kush Juvekar, Anupam Purwar:
COS-Mix: Cosine Similarity and Distance Fusion for Improved Information Retrieval. - Haojun Xu, Yan Gao, Jie Li, Xinbo Gao:
An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition. - Jun Li, Tongkun Su, Baoliang Zhao, Faqin Lv, Qiong Wang, Nassir Navab, Ying Hu, Zhongliang Jiang:
Ultrasound Report Generation with Cross-Modality Feature Alignment via Unsupervised Guidance. - Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet:
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning. - Chen Chen, Yuchen Hu, Wen Wu, Helin Wang, Eng Siong Chng, Chao Zhang:
Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback. - Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka:
Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection. - Xianghe Ma, Dominik Schlechtweg, Wei Zhao:
Presence or Absence: Are Unknown Word Usages in Dictionaries? - Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu:
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. - Bin Pi, Minyu Feng, Liang-Jian Deng:
A memory-based spatial evolutionary game with the dynamic interaction between learners and profiteers. - Benjamin Towle, Xin Chen, Ke Zhou:
SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction. - Sunwoo Kim, Joungho Park, Jay H. Lee:
Multi-technology co-optimization approach for sustainable hydrogen and electricity supply chains considering variability and demand scale. - Yunheng Li, Zhongyu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng:
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. - Xin Dong, Yangjie Cui, Jingwu Xiang, Daochun Li, Zhan Tu:
An Efficient Trajectory Generation for Bi-copter Flight in Tight Space. - Xuenian Wang, Shanshan Shi, Renao Yan, Qiehe Sun, Lianghui Zhu, Tian Guan, Yonghong He:
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification. - Hao Liu, Yang Yang, Yunxia Liu:
W-Net: A Facial Feature-Guided Face Super-Resolution Network. - Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki:
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. - Christiane Rakotomalala, Jean-Marie Paillat, Frédéric Feder, Angel Avadí, Laurent Thuriès, Marie-Liesse Vermeire, Jean-Michel Médoc, Tom Wassenaar, Caroline Hottelart, Lilou Kieffer, Elisa Ndjie, Mathieu Picart, Jorel Tchamgoue, Alvin Tulle, Laurine Valade, Annie Boyer, Marie-Christine Duchamp, Mathieu Roche:
A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries. - Haisu Guan, Huanxin Yang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu:
Deciphering Oracle Bone Language with Diffusion Models. - Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu:
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. - Ohad Rahamim, Hilit Segev, Idan Achituve, Yuval Atzmon, Yoni Kasten, Gal Chechik:
Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors. - Juha Honkala:
Linear equations and recursively enumerable sets. - Yizhuo Wang, Shuowen Zhang:
Hybrid Beamforming Design for Integrated Sensing and Communication Exploiting Prior Information. - Belal Ahmad, Mohd Usama, Tanvir Ahmad, Adnan Saeed, Shabnam Khatoon, Long Hu:
Bilinear-Convolutional Neural Network Using a Matrix Similarity-based Joint Loss Function for Skin Disease Classification. - Tomoki Doi, Masaru Isonuma, Hitomi Yanaka:
Comprehensive Evaluation of Large Language Models for Topic Modeling. - Yuan Xiao, Shiqing Ma, Juan Zhai, Chunrong Fang, Jinyuan Jia, Zhenyu Chen:
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation. - Amir Masoud Rahmani, Amir Haider, Mohammad Adeli, Olfa Mzoughi, Entesar Gemeay, Mokhtar Mohammadi, Hamid Alinejad-Rokny, Parisa Khoshvaght, Mehdi Hosseinzadeh:
Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies. - Ylva Grønningsæter, Halvor S. Smørvik, Ole-Christoffer Granmo:
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites. - Pengyu Wang, Jiawei Tang, Hin Wang Lin, Fan Zhang, Chaoqun Wang, Jiankun Wang, Ling Shi, Max Q.-H. Meng:
MINER-RRT*: A Hierarchical and Fast Trajectory Planning Framework in 3D Cluttered Environments. - Pengyu Wang, Zhaohua Yang, Nachuan Yang, Zikai Wang, Jialu Li, Fan Zhang, Chaoqun Wang, Jiankun Wang, Max Q.-H. Meng, Ling Shi:
QUADFormer: Learning-based Detection of Cyber Attacks in Quadrotor UAVs. - Di Wu, Feng Yang, Benlian Xu, Pan Liao, Bo Liu:
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving. - Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yuan-Hsuan Lo, Yijin Zhang:
Age-Gain-Dependent Random Access for Event-Driven Periodic Updating. - Cong Wang, Wei Wang, Chengjin Yu, Jie Mu:
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks. - Hao Wu:
Throughput and Link Utilization Improvement in Satellite Networks: A Learning-Enabled Approach. - Gayathri Manikutty, Sai Ankith Potapragada, Devasena Pasupuleti, Mahesh S. Unnithan, Arjun Venugopal, Pranav Prabha, Arunav H, Vyshnavi Anil Kumar, Rthuraj P. R, Rao R. Bhavani:
Exploring Child-Robot Interaction in Individual and Group settings in India. - Xiaocong Chen, Siyu Wang, Lina Yao:
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. - Satoshi Yagi, Mitsunori Tada, Eiji Uchibe, Suguru Kanoga, Takamitsu Matsubara, Jun Morimoto:
Unsupervised Neural Motion Retargeting for Humanoid Teleoperation. - Kabirat Bolanle Olayemi, Mien Van, Luke Maguire, Seán F. McLoone:
A Digital Twin Framework for Reinforcement Learning with Real-Time Self-Improvement via Human Assistive Teleoperation. - Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao:
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection. - Alan Edelman, John Urschel, Bowen Zhu:
On a perturbation analysis of Higham squared maximum Gaussian elimination growth matrices. - Naveen Raman, Zheyuan Ryan Shi, Fei Fang:
Global Rewards in Restless Multi-Armed Bandits. - Giovanni Paolini, Lorenzo Moreschini, Francesco Veneziano, Alessandro Iraci:
Learning to Play 7 Wonders Duel Without Human Supervision. - Neri Merhav, Nir Weinberger:
A Toolbox for Refined Information-Theoretic Analyses with Applications. - Anomitra Sarkar, Lavanya Vajpayee:
Augmenting the FedProx Algorithm by Minimizing Convergence. - Pranav Singh Chib, Pravendra Singh:
CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction. - Wenqiang Sun, Zhengyi Wang, Shuo Chen, Yikai Wang, Zilong Chen, Jun Zhu, Jun Zhang:
Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Models. - Zhu Liu:
How well do distributed representations convey contextual lexical semantics: a Thesis Proposal. - Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Feng Shu, Wen Chen, Shi Jin:
Blockchain-aided wireless federated learning: Resource allocation and client scheduling. - Gabriella Fernandes, Hélder Fontes, Rui Campos:
Semantic Communications: the New Paradigm Behind Beyond 5G Technologies. - Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng:
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. - Po-Shao Lin, Jia-Fong Yeh, Yi-Ting Chen, Winston H. Hsu:
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning. - Haoran Yang, Xiaobing Pei, Kai Yuan:
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs. - Wakana Haijima, Kou Nakakubo, Masahiro Suzuki, Yutaka Matsuo:
The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts. - Anji Liu, Kareem Ahmed, Guy Van den Broeck:
Scaling Tractable Probabilistic Circuits: A Systems Perspective. - Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen:
Automatic Instruction Evolving for Large Language Models. - Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves:
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. - Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong, Mingsheng Long:
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting. - Thibault Simonetto, Salah Ghamizi, Maxime Cordy:
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data. - Yuxiang Ji, Boyong He, Chenyuan Qu, Zhuoyue Tan, Chuan Qin, Liaoni Wu:
Diffusion Features to Bridge Domain Gap for Semantic Segmentation. - Peng Li, Lixia Wu, Chaoqun Feng, Haoyuan Hu, Lei Fu, Jieping Ye:
Differentiation of Multi-objective Data-driven Decision Pipeline. - Xuan Lin:
Accelerate Hybrid Model Predictive Control using Generalized Benders Decomposition. - Li Lin, Santosh, Xin Wang, Shu Hu:
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark. - Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky:
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation. - Md Taimur Ahad:
Developing an efficient corpus using Ensemble Data cleaning approach. - Lei Liu, Zhihao Hu, Zhenghao Chen:
Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor. - Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang:
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. - Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd:
Are you still on track!? Catching LLM Task Drift with Activations. - Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin Li, Zi Yang, Penghang Yin:
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization. - M. Sajid, M. Tanveer, Ponnuthurai N. Suganthan:
Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System. - Milosz Stypinski, Marcin Niemiec:
Weight Equalization Algorithm for Tree Parity Machines. - Haiyang Shi:
Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural Networks. - Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han:
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection. - Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas G. Day, Alberto Gómez, Paul Leeson, Bernhard Kainz:
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing. - Jie Chen:
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems. - Hwejae Lee, Hyosun Lee, Saehee Jun, Huy Kang Kim:
Expanding the Attack Scenarios of SAE J1939: A Comprehensive Analysis of Established and Novel Vulnerabilities in Transport Protocol. - Andrei Shelopugin:
Expected Possession Value of Control and Duel Actions for Soccer Player's Skills Estimation. - Sen Li, Junchi Ma, Minhao Cheng:
Invisible Backdoor Attacks on Diffusion Models. - Billy Jin, Thomas Kesselheim, Will Ma, Sahil Singla:
Sample Complexity of Posted Pricing for a Single Item. - Dániel Szekeres, Kristóf Marussy, István Majzik:
A Lazy Abstraction Algorithm for Markov Decision Processes: Theory and Initial Evaluation. - Thom S. Badings, Wietze Koops, Sebastian Junges, Nils Jansen:
Learning-Based Verification of Stochastic Dynamical Systems with Neural Network Policies. - Nurit Spingarn-Eliezer, Tomer Michaeli:
Stealing Image-to-Image Translation Models With a Single Query. - Yang Cao, Yihan Zeng, Hang Xu, Dan Xu:
Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object Detection. - Lin Gui, Cristina Gârbacea, Victor Veitch:
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling. - Shikoh Hirabayashi, Rishab Jain, Nikola Jurkovic, Gabriel Wu:
Harvard Undergraduate Survey on Generative AI. - Xinge Yang, Matheus Souza, Kunyi Wang, Praneeth Chakravarthula, Qiang Fu, Wolfgang Heidrich:
End-to-End Hybrid Refractive-Diffractive Lens Design with Differentiable Ray-Wave Model. - Linh Kästner, Volodymyir Shcherbyna, Huajian Zeng, Tuan Anh Le, Maximilian Ho-Kyoung Schreff, Halid Osmaev, Nam Truong Tran, Diego Diaz, Jan Golebiowski, Harold Soh, Jens Lambrecht:
Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments. - Kaixin Lan, Tao Fang, Derek F. Wong, Yabo Xu, Lidia S. Chao, Cecilia G. Zhao:
FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models. - Laura Stegner, Yuna Hwang, David Porfirio, Bilge Mutlu:
Understanding On-the-Fly End-User Robot Programming. - Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan:
The Power of Summary-Source Alignments. - Saveliy Chezhegov, Sergey Skorik, Nikolas Khachaturov, Danil Shalagin, Aram Avetisyan, Aleksandr Beznosikov, Martin Takác, Yaroslav Kholodov, Alexander V. Gasnikov:
Local Methods with Adaptivity via Scaling. - Abdelilah Nossair, Hamza El Housni:
Eating Smart: Advancing Health Informatics with the Grounding DINO based Dietary Assistant App. - Ratip Emin Berker, Vincent Conitzer:
Computing Optimal Equilibria in Repeated Games with Restarts. - Niraj Kumar Singh, Gustavo Polleti, Saee Paliwal, Rachel Hodos-Nkhereanye:
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions. - Yewon Lim, Changyeon Lee, Aerin Kim, Oren Etzioni:
DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection. - Kaniz Mishty, Mehdi Sadi:
Chiplet-Gym: Optimizing Chiplet-based AI Accelerator Design with Reinforcement Learning. - Robin Forsling, Simon J. Julier, Gustaf Hendeby:
Matrix-Valued Measures and Wishart Statistics for Target Tracking Applications. - Anna Dalklint, Joe Alexandersen, Andreas Henrik Frederiksen, Konstantinos Poulios, Ole Sigmund:
Topology optimization of contact-aided thermo-mechanical regulators. - Parastoo Falakaflaki, Mehrnoush Shamsfard:
Formality Style Transfer in Persian. - Jiaqi Liang, Defeng Liu, Sanjay Dominik Jena, Andrea Lodi, Thibaut Vidal:
Dual Policy Reinforcement Learning for Real-time Rebalancing in Bike-sharing Systems. - Sarthak Arora, Karthik Subramanian, Odysseus Alexander Adamides, Ferat Sahin:
Using 3-D LiDAR Data for Safe Physical Human-Robot Interaction. - Hadi Hosseini, Debmalya Mandal, Amrit Puhan:
The Surprising Effectiveness of SP Voting with Partial Preferences. - Timothy Ossowski, Junjie Hu:
OLIVE: Object Level In-Context Visual Embeddings. - Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart Russell:
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network. - Nail K. Yamaleev, Subhash Paudel:
A New Parallel-in-time Direct Inverse Method for Nonlinear Differential Equations. - Janine Lohse, Deepak Garg:
An Iris for Expected Cost Analysis. - Ivan Moskalenko, Anastasiia Kornilova, Gonzalo Ferrer:
Visual place recognition for aerial imagery: A survey. - Ali Mohamed Ali, Aryaman Gupta, Hashim A. Hashim:
Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations. - Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Michael S. Bernstein, Diyi Yang:
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback. - Clement Etienam, Juntao Yang, Oleg Ovcharenko, Issam Said:
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts - Physics Informed Neural Operator Forward Model. - Xin-Yi Tong, Runmin Dong, Xiao Xiang Zhu:
Global High Categorical Resolution Land Cover Mapping via Weak Supervision. - Nicholas Roberts, Samuel Guo, Zhiqi Gao, Satya Sai Srinath Namburi, Sonia Cromp, Chengjun Wu, Chengyu Duan, Frederic Sala:
Pretrained Hybrids with MAD Skills. - Jonathan Álvarez Ariza:
Bringing active learning, experimentation, and student-created videos in engineering: A study about teaching electronics and physical computing integrating online and mobile learning. - Erfan Loweimi, Andrea Carmantini, Peter Bell, Steve Renals, Zoran Cvetkovic:
Phonetic Error Analysis of Raw Waveform Acoustic Models with Parametric and Non-Parametric CNNs. - Xinjian Li, Shinnosuke Takamichi, Takaaki Saeki, William Chen, Sayaka Shiota, Shinji Watanabe:
YODAS: Youtube-Oriented Dataset for Audio and Speech. - Mahsa Kadkhodaei Elyaderani, Shahram Shirani:
Robust Multi-Modal Speech In-Painting: A Sequence-to-Sequence Approach. - Yuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine E. Davey:
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery. - Shaoshu Yang, Yong Zhang, Xiaodong Cun, Ying Shan, Ran He:
ZeroSmooth: Training-free Diffuser Adaptation for High Frame Rate Video Generation. - Soroush Ebadian, Evi Micha:
Boosting Sortition via Proportional Representation. - Kunpeng Wang, Danying Lin, Chenglong Li, Zhengzheng Tu, Bin Luo:
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmark. - Jordan Madden, Moxanki Bhavsar, Lhamo Dorje, Xiaohua Li:
Assessing the Adversarial Security of Perceptual Hashing Algorithms. - Jinxing Zhou, Dan Guo, Yiran Zhong, Meng Wang:
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling. - Ruichao Liang, Jing Chen, Cong Wu, Kun He, Yueming Wu, Weisong Sun, Ruiying Du, Qingchuan Zhao, Yang Liu:
Towards Effective Detection of Ponzi schemes on Ethereum with Contract Runtime Behavior Graph. - Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov:
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning. - Shivam Gupta, Linda Cai, Sitan Chen:
Faster Diffusion-based Sampling with Randomized Midpoints: Sequential and Parallel. - Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Kazuhiro Shintani:
Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry. - Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao:
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. - Ji-Lun Peng, Sijia Cheng, Egil Diau, Yung-Yu Shih, Po-Heng Chen, Yen-Ting Lin, Yun-Nung Chen:
A Survey of Useful LLM Evaluation. - Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian:
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. - Xinchun Yu, Shuangqing Wei, Shao-Lun Huang, Xiao-Ping Zhang:
Bounds on f-Divergences between Distributions within Generalized Quasi-ε-Neighborhood. - Max Kreminski:
Cheap and Easy Open-Ended Text Input for Interactive Emergent Narrative. - Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng:
State Space Models on Temporal Graphs: A First-Principles Study. - Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. - Fei Gao, Siwen Wang, Churan Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Gang Yu, Yizhou Yu:
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation. - Ergon Cugler de Moraes Silva, José Carlos Vaz:
How disinformation and fake news impact public policies?: A review of international literature. - Po Yin Fung, Sean Hon:
Block ω-circulant preconditioners for parabolic optimal control problems. - Shiqi Liu, Sannyuya Liu, Lele Sha, Zijie Zeng, Dragan Gasevic, Zhi Liu:
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification. - Sumit Sarin, Utkarsh Mall, Purva Tendulkar, Carl Vondrick:
How Video Meetings Change Your Expression. - Tianyu Huang, Tao Zhou, Weidi Xie, Shuo Wang, Qi Dou, Yizhe Zhang:
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation. - Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe:
Navigating Conflicting Views: Harnessing Trust for Learning. - Takara E. Truong, Michael Piseno, Zhaoming Xie, C. Karen Liu:
PDP: Physics-Based Character Animation via Diffusion Policy. - Xinglin Chen, Yishuai Cai, Yunxin Mao, Minglong Li, Zhou Yang, Shanghua Wen, Wenjing Yang, Weixia Xu, Ji Wang:
Efficient Behavior Tree Planning with Commonsense Pruning and Heuristic. - Ziyao Liu, Yu Jiang, Weifeng Jiang, Jiale Guo, Jun Zhao, Kwok-Yan Lam:
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation. - Vinay Gupta, Nihal Gunukula:
Evaluating MEDIRL: A Replication and Ablation Study of Maximum Entropy Deep Inverse Reinforcement Learning for Human Social Navigation. - Nikhil Mehta, Dan Goldwasser:
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media. - Vahid Azizi, Fatemeh Koochaki:
MiniGPT-Reverse-Designing: Predicting Image Adjustments Utilizing MiniGPT-4. - Hieu Trung Nguyen, Duy Nguyen, Khoa Doan, Viet Anh Nguyen:
Cold-start Recommendation by Personalized Embedding Region Elicitation. - Borui Zhang, Chaojie Li, Guo Chen, Zhaoyang Dong:
Large Language Model Assisted Optimal Bidding of BESS in FCAS Market: An AI-agent based Approach. - Masha Belyi, Robert Friel, Shuai Shao, Atindriyo Sanyal:
Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost. - Yongxin Zhu, Dan Su, Liqiang He, Linli Xu, Dong Yu:
Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer. - Kezhen Chen, Rahul Thapa, Rahul Chalamala, Ben Athiwaratkun, Shuaiwen Leon Song, James Zou:
Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language Model. - Shunsuke Yoshimoto, Koji Sakamoto, Rina Takeda, Akio Yamamoto:
Design of a High-Performance Tomographic Tactile Sensor by Manipulating the Detector Conductivity. - Julian Martin Eisenschlos, Hernán Maina, Guido Ivetta, Luciana Benotti:
Selectively Answering Visual Questions. - Ashutosh Jindal, Florentina Nicolau, David Martín de Diego, Ravi N. Banavar:
Constructing Dynamic Feedback Linearizable Discretizations. - Junyu Lu, Bo Xu, Xiaokun Zhang, Kaiyuan Liu, Dongyu Zhang, Liang Yang, Hongfei Lin:
Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect. - Hiroaki Yamagiwa, Ryoma Hashimoto, Kiwamu Arakane, Ken Murakami, Shou Soeda, Momose Oyama, Mariko Okada, Hidetoshi Shimodaira:
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings. - Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Suresh Lokhande, Siwei Lyu:
MultiEdits: Simultaneous Multi-Aspect Editing with Text-to-Image Diffusion Models. - Wenjing Chang, Kay Liu, Philip S. Yu, Jianjun Yu:
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement. - Dengke Han, Meng Wu, Runzhen Xue, Mingyu Yan, Xiaochun Ye, Dongrui Fan:
ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation. - Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson:
Constraint-Aware Diffusion Models for Trajectory Optimization. - Anders Melander, Max E. Bitsch, Dong Chen, Allan P. Engsig-Karup:
A High-Order Hybrid-Spectral Incompressible Navier-Stokes Model For Nonlinear Water Waves. - Fengjie Li, Jiajun Jiang, Jiajun Sun, Hongyu Zhang:
Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis. - Weijun Li, Qiongkai Xu, Mark Dras:
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients. - Lingen Li, Mingde Yao, Xingyu Meng, Muquan Yu, Tianfan Xue, Jinwei Gu:
Uni-ISP: Unifying the Learning of ISPs from Multiple Cameras. - Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail E. Kaiser, Junfeng Yang, Baishakhi Ray:
SemCoder: Training Code Language Models with Comprehensive Semantics. - Pascal Baumann, Eren Keskin, Roland Meyer, Georg Zetzsche:
Separability in Büchi Vass and Singly Non-Linear Systems of Inequalities. - Patrick Palmer, Martin Krüger, Richard Altendorfer, Torsten Bertram:
Multi-Object Tracking based on Imaging Radar 3D Object Detection. - Taewon Park, Inchul Choi, Minho Lee:
Attention-based Iterative Decomposition for Tensor Product Representation. - Ahmed M. Ahmed, Rafael Rafailov, Stepan Sharkov, Xuechen Li, Sanmi Koyejo:
Scalable Ensembling For Mitigating Reward Overoptimisation. - Junyang Wang, Haiyang Xu, Haitao Jia, Xi Zhang, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang:
Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration. - Tianhao Liang, Huahao Ding, Yuqi Ping, Bin Cao, Tingting Zhang, Qinyu Zhang:
Sensing, Communication, and Control Co-design for Energy Efficient Satellite-UAV Networks. - Daekyu Kwon, Dongyoung Kim, Sehwan Ki, Younghyun Jo, Hyong-Euk Lee, Seon Joo Kim:
CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality Assessment. - Emily Öhman, Riikka Rossi:
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels. - Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia W. Sadiq, Hongzhi Yin:
Poisoning Attacks and Defenses in Recommender Systems: A Survey. - Pourya Jafarzadeh, Padideh Choobdar, Vahid Mohammadi Safarzadeh:
Khayyam Offline Persian Handwriting Dataset. - Mengge Xue, Zhenyu Hu, Liqun Liu, Kuo Liao, Shuang Li, Honglin Han, Meng Zhao, Chengguo Yin:
Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors. - Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou:
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. - Xuanqi Zhang, Haijin Zeng, Jinwang Pan, Qiangqiang Shen, Yongyong Chen:
LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network. - Trong-Thuan Nguyen, Pha Nguyen, Xin Li, Jackson David Cothren, Alper Yilmaz, Khoa Luu:
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos. - Suhua Zhou, Tianqi Li, Zhaoxi Fang, Jing Zhou, Wenyi Zhang:
Geometric constellation shaping for wireless optical intensity channels. - Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang:
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning. - Yung-Hui Lin, Yu-Wen Chang, Huang-Chia Shih, Takahiro Ogawa:
Generalized Jersey Number Recognition Using Multi-task Learning With Orientation-guided Weight Refinement. - Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai:
FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering. - Bakytzhan Kurmanbek, Yogi A. Erlangga, Yerlan Amanbek:
Explicit inverse of symmetric, tridiagonal near Toeplitz matrices with strictly diagonally dominant Toeplitz part. - Shahar Zuler, Dan Raviv:
Synthetic Data Generation for 3D Myocardium Deformation Analysis. - Fang Li, Hao Zhang, Narendra Ahuja:
Self-Calibrating 4D Novel View Synthesis from Monocular Videos Using Gaussian Splatting. - Fatemeh Shiri, Van Nguyen, Farhad Moghimifar, John Yoo, Gholamreza Haffari, Yuan-Fang Li:
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs. - Hang Dong, Liwen Zhu, Zhao Shan, Bo Qiao, Fangkai Yang, Si Qin, Chuan Luo, Qingwei Lin, Yuwen Yang, Gurpreet Virdi, Saravan Rajmohan, Dongmei Zhang, Thomas Moscibroda:
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. - Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji:
Searching For Music Mixing Graphs: A Pruning Approach. - Jiangming Liu:
MACT: Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing. - Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu:
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. - Julian Frattini, Lloyd Montgomery, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez, Jannik Fischbach:
Requirements Quality Research Artifacts: Recovery, Analysis, and Management Guideline. - Sai Mandava:
Virtual avatar generation models as world navigators. - Palash Dey, Ashlesha Hota, Sudeshna Kolay, Sipra Singh:
Knapsack with Vertex Cover, Set Cover, and Hitting Set. - Si Wu, Tengfei Liu, Zhong-Ping Jiang:
Constructive Safety Control. - Jinze Yang, Haoran Wang, Zining Zhu, Chenglong Liu, Meng Wymond Wu, Zeke Xie, Zhong Ji, Jungong Han, Mingming Sun:
VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model. - Yonghao Li:
Satellites swarm cooperation for pursuit-attachment tasks with transformer-based reinforcement learning. - Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan:
SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. - Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge:
DANCE: Dual-View Distribution Alignment for Dataset Condensation. - Xuehui Yu, Yi Guan, Rujia Shen, Xin Li, Chen Tang, Jingchi Jiang:
Causal prompting model-based offline reinforcement learning. - Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong:
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. - Hantao Zhou, Longxiang Tang, Rui Yang, Guanyi Qin, Yan Zhang, Runze Hu, Xiu Li:
UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment. - Jun Gao, Ziqiang Cao, Shaoyao Huang, Luozheng Qin, Chunhui Ai:
Guiding ChatGPT to Generate Salient Domain Summaries. - Jan Lippemeier, Stefanie Hittmeyer, Oliver Niehörster, Markus Lange-Hegermann:
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline. - Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan:
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning. - Georgia Markham, Mehala Balamurali, Andrew J. Hill:
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models. - Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke:
Estimating Canopy Height at Scale. - Bernardo Fichera, Aude Billard:
Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control. - Han Sun, Yunkang Cao, Olga Fink:
CUT: A Controllable, Universal, and Training-Free Visual Anomaly Generation Framework. - Joungbin An, Yunsu Park, Hyolim Kang, Seon Joo Kim:
Object Aware Egocentric Online Action Detection. - Zhibo Xing, Zijian Zhang, Ziang Zhang, Jiamou Liu, Liehuang Zhu, Giovanni Russello:
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning. - Katarzyna Gawlak, Jaroslaw Konieczny, Krzysztof Domino, Jaroslaw Adam Miszczak:
Statistical analysis of geoinformation data for increasing railway safety. - Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang:
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. - Noga Bar, Raja Giryes:
Effective Subset Selection Through The Lens of Neural Network Pruning. - Wrick Talukdar, Anjanava Biswas:
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling. - Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike:
Learning Decision Trees and Forests with Algorithmic Recourse. - Francisco Robledo, Urtzi Ayesta, Konstantin Avrachenkov:
Deep reinforcement learning for weakly coupled MDP's with continuous actions. - Guillaume Moinard, Matthieu Latapy:
Fast and Robust Flocking of Protesters on Street Networks. - Rui Xavier, José Luís Silva, Rodrigo M. M. Ventura, Joaquim A. Jorge:
Pseudo-Haptics Survey: Human-Computer Interaction in Extended Reality & Teleoperation. - Chen Zhang, Qiang He, Zhou Yuan, Elvis S. Liu, Hong Wang, Jian Zhao, Yang Wang:
Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment. - Zheng Zhou, Hongbo Zhao, Guangliang Cheng, Xiangtai Li, Shuchang Lyu, Wenquan Feng, Qi Zhao:
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation. - Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto, Masood Feyzbakhsh Rankooh, Miikka Vilander:
Globally Interpretable Classifiers via Boolean Formulas with Dynamic Propositions. - Kai Yi, Timur Kharisov, Igor Sokolov, Peter Richtárik:
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning. - Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone:
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. - Fabian Clemens Weigend, Neelesh Kumar, Oya Aran, Heni Ben Amor:
Ubiquitous Robot Control Through Multimodal Motion Capture Using Smartwatch and Smartphone Data. - Saeed Safikhani, Lennart E. Nacke, Johanna Pirker:
A Literature Review and Taxonomy of In-VR Questionnaire User Interfaces. - Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li:
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. - Pengtao Chen, Mingzhu Shen, Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen:
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers. - Wenjing Yue, Xiaoling Wang, Wei Zhu, Ming Guan, Huanran Zheng, Pengfei Wang, Changzhi Sun, Xin Ma:
TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine. - Kunpeng Wang, Zhengzheng Tu, Chenglong Li, Cheng Zhang, Bin Luo:
Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection. - Saeed Safikhani, Benedikt Gross, Johanna Pirker:
The Application of Procedurally Generated Libraries in Immersive Virtual Reality. - Samuel Kessler, Tam Le, Vu Nguyen:
SAVA: Scalable Learning-Agnostic Data Valuation. - Pius von Däniken, Jan Deriu, Don Tuggener, Mark Cieliebak:
Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation. - Valentin Rychkov, Claudia Picoco, Emilie Caleca:
Impact of Generative AI (Large Language Models) on the PRA model construction and maintenance, observations. - Jan von der Assen, Jasmin Hochuli, Thomas Grübl, Burkhard Stiller:
The Danger Within: Insider Threat Modeling Using Business Process Models. - Konstantinos Roditakis, Spyridon Thermos, Nikolaos Zioulis:
Towards Practical Single-shot Motion Synthesis. - Yiming Li, Xuemin Chi, Amirreza Razmjoo, Sylvain Calinon:
Configuration Space Distance Fields for Manipulation Planning. - Thomas Bolander, Alessandro Burigana, Marco Montali:
Depth-Bounded Epistemic Planning. - Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang:
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. - Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao:
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph. - Nicholas J. Pritchard, Andreas Wicenec:
Formal Definition and Implementation of Reproducibility Tenets for Computational Workflows. - Haoran He, Can Chang, Huazhe Xu, Ling Pan:
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. - P. J. Zhou, Q. Yu, M. Chen, Y. C. Wang, L. W. Meng, Y. Zuo, N. Ning, Y. Liu, S. G. Hu, G. C. Qiao:
A 0.96pJ/SOP, 30.23K-neuron/mm^2 Heterogeneous Neuromorphic Chip With Fullerene-like Interconnection Topology for Edge-AI Computing. - Sehoon Ha, Joonho Lee, Michiel van de Panne, Zhaoming Xie, Wenhao Yu, Majid Khadiv:
Learning-based legged locomotion; state of the art and future perspectives. - Zhi Liu, Si Wu, Tengfei Liu, Zhong-Ping Jiang:
Safety-Critical Control of Euler-Lagrange Systems Subject to Multiple Obstacles and Velocity Constraints. - Zehui Lin, Zhuoneng Zhang, Xindi Hu, Zhifan Gao, Xin Yang, Yue Sun, Dong Ni, Tao Tan:
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation. - Hao Wu, Rasmus Pagh:
Profile Reconstruction from Private Sketches. - Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Youqiang Zhang, Junshi Huang:
Dimba: Transformer-Mamba Diffusion Models. - Thomas Strypsteen, Alexander Bertrand:
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks. - Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause:
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL. - Choubo Ding, Guansong Pang:
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure. - Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, Wei-Lin Chen, Chao-Wei Huang, Yu Meng, Yun-Nung Chen:
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization. - Mengbang Zou, Weisi Guo:
Cascade Network Stability of Synchronized Traffic Load Balancing with Heterogeneous Energy Efficiency Policies. - Anas Al-Okaily:
Linear Index for Logarithmic Search-Time for any String under any Internal Node in Suffix Trees. - Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause:
NeoRL: Efficient Exploration for Nonepisodic RL. - Sindre Benjamin Remman, Bjørn Andreas Kristiansen, Anastasios M. Lekkas:
Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective. - Guanhua Huang, Yuchen Zhang, Zhe Li, Yongjian You, Mingze Wang, Zhouwang Yang:
Are AI-Generated Text Detectors Robust to Adversarial Perturbations? - Lorenzo Chicchi, Lorenzo Buffoni, Diego Febbe, Lorenzo Giambagli, Raffaele Marino, Duccio Fanelli:
Automatic Input Feature Relevance via Spectral Neural Networks. - Luca Wilke, Gianluca Scopelliti:
SNPGuard: Remote Attestation of SEV-SNP VMs Using Open Source Tools. - Xiang Wang, Shiwei Zhang, Changxin Gao, Jiayu Wang, Xiaoqiang Zhou, Yingya Zhang, Luxin Yan, Nong Sang:
UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation. - Yuxuan Zhou, Mario Fritz, Margret Keuper:
MultiMax: Sparse and Multi-Modal Attention Learning. - Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi:
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries. - Zhongting Tang, Yi Zhang, Pooya Davari:
Programmable Multi-input Buck-Boost Converter for Photovoltaics Arrays. - Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Josechu J. Guerrero, Giovanni Maria Farinella, Antonino Furnari:
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation. - Xu Yang, Wenhao Li, Qijie Ge, Lulu Suo, Weijie Tang, Zhengyu Wei, Longxiang Huang, Bo Wang:
C3P-VoxelMap: Compact, Cumulative and Coalescible Probabilistic Voxel Mapping. - Sihan Wen, Xiantan Zhu, Zhiming Tan:
3D WholeBody Pose Estimation based on Semantic Graph Attention Network and Distance Information. - Tzu-Lin Kuo, Tzu-Wei Chiu, Tzung-Sheng Lin, Sheng-Yang Wu, Chao-Wei Huang, Yun-Nung Chen:
A Survey of Generative Information Retrieval. - Kun Sun, Rong Wang:
Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression. - Bibrak Qamar Chandio, Maciej Brodowicz, Thomas L. Sterling:
Structures and Techniques for Streaming Dynamic Graph Processing on Decentralized Message-Driven Systems. - Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva, Markus Kollmann:
Scaling Up Deep Clustering Methods Beyond ImageNet-1K. - Yijun Chen, Kanghong Shi, Ian R. Petersen, Elizabeth L. Ratnam:
On the Stability of Networked Nonlinear Imaginary Systems with Applications to Electrical Power Systems. - Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen:
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. - Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen:
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition. - Michal Witold Przewozniczek, Bartosz Frej, Marcin M. Komarnicki:
The hop-like problem nature - unveiling and modelling new features of real-world problems. - Fang Yu, Ya-Yu Chi, Yu-Fang Chen:
Constraint-based Adversarial Example Synthesis. - Lei Liu, Ke Zhao:
Report on Methods and Applications for Crafting 3D Humans. - Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Bowen Yan, Min Zhang:
Demonstration Augmentation for Zero-shot In-context Learning. - Stefano Cirici, Michele Paolino, Daniel Raho:
SVFF: An Automated Framework for SR-IOV Virtual Function Management in FPGA Accelerated Virtualized Environments. - Tianqi Zhao, Alan Hanjalic, Megha Khosla:
AGALE: A Graph-Aware Continual Learning Evaluation Framework. - Viktor Shcherbakov, Fedor Krasnov:
Multi-word Term Embeddings Improve Lexical Product Retrieval. - Victor Boone, Zihan Zhang:
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs. - Zixuan Dong, Baoyun Peng, Yufei Wang, Jia Fu, Xiaodong Wang, Yongxue Shan, Xin Zhou:
EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs. - Ege Ç. Altunkaya, Akin Çatak, Emre Koyuncu, Ibrahim Özkol:
Loss of Control Prevention of an Agile Aircraft: Dynamic Command Saturation Approach. - Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie:
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. - Zhutao Zhuang, Xinqi Zeng, Zhiguang Chen:
DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree. - Ege Ç. Altunkaya, Akin Çatak, Emre Koyuncu, Ibrahim Özkol:
Innovative Gain Reconfiguration for Active Fault-Tolerant Flight Control: Balance of Stability and Agility. - Boxi Cao, Keming Lu, Xinyu Lu, Jiawei Chen, Mengjie Ren, Hao Xiang, Peilin Liu, Yaojie Lu, Ben He, Xianpei Han, Le Sun, Hongyu Lin, Bowen Yu:
Towards Scalable Automated Alignment of LLMs: A Survey. - Julian C. Schäfer-Zimmermann, Vlad Demartsev, Baptiste Averly, Kiran L. Dhanjal-Adams, Mathieu Duteil, Gabriella Gall, Marius Faiß, Lily Johnson-Ulrich, Dan Stowell, Marta B. Manser, Marie A. Roch, Ariana Strandburg-Peshkin:
animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics. - Yunhao Ni, Yuxin Guo, Junlong Jia, Lei Huang:
On the Nonlinearity of Layer Normalization. - Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi:
Augmented Commonsense Knowledge for Remote Object Grounding. - Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou, Peter Triantafillou:
What makes unlearning hard and what to do about it. - Muayad J. Aljafar, Zain Ul Abideen, Adriaan Peetermans, Benedikt Gierlichs, Samuel Pagliarini:
SCALLER: Standard Cell Assembled and Local Layout Effect-based Ring Oscillators. - Linshan Wu, Jiaxin Zhuang, Xuefeng Ni, Hao Chen:
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis. - Boyan Li, Yuyu Luo, Chengliang Chai, Guoliang Li, Nan Tang:
The Dawn of Natural Language to SQL: Are We Fully Ready? - Aleksander Theo Strand, Sushant Gautam, Cise Midoglu, Pål Halvorsen:
SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries. - Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat, Prayag Tiwari, Stefan Byttner:
Expected Grad-CAM: Towards gradient faithfulness. - Malte Luttermann, Ralf Möller, Marcel Gehrke:
Lifting Factor Graphs with Some Unknown Factors. - Zhenya Huang, Yuting Ning, Longhu Qin, Shiwei Tong, Shangzi Xue, Tong Xiao, Xin Lin, Jiayu Liu, Qi Liu, Enhong Chen, Shijing Wang:
EduNLP: Towards a Unified and Modularized Library for Educational Resources. - Tillmann Ohm, Andres Karjus, Mikhail V. Tamm, Maximilian Schich:
fruit-SALAD: A Style Aligned Artwork Dataset to reveal similarity perception in image embeddings. - Aleksander Theo Strand, Sushant Gautam, Cise Midoglu, Pål Halvorsen:
Demo: Soccer Information Retrieval via Natural Queries using SoccerRAG. - Jiaxu Liu, Xinping Yi, Sihao Wu, Xiangyu Yin, Tianle Zhang, Xiaowei Huang, Shi Jin:
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE. - Jungmin Yun, Mihyeon Kim, Youngbin Kim:
Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification. - Jan Malte Lichtenberg, Alexander Buchholz, Pola Schwöbel:
Large Language Models as Recommender Systems: A Study of Popularity Bias. - Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin:
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses. - Sofie Goethals, Eoin Delaney, Brent D. Mittelstadt, Chris Russell:
Resource-constrained Fairness. - Rita Pucci, Niki Martinel:
Capsule Enhanced Variational AutoEncoder for Underwater Image Reconstruction. - Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang:
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. - Elad Richardson, Yuval Alaluf, Ali Mahdavi-Amiri, Daniel Cohen-Or:
pOps: Photo-Inspired Diffusion Operators. - Zhusi Zhong, Helen Zhang, Fayez H. Fayad, Andrew C. Lancaster, John Sollee, Shreyas Kulkarni, Cheng Ting Lin, Jie Li, Xinbo Gao, Scott Collins, Colin Greineder, Sun Ho Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay:
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. - Dong Chen, Shaoxin Lin, Muhan Zeng, Daoguang Zan, Jian-Gang Wang, Anton Cheshkov, Jun Sun, Hao Yu, Guoliang Dong, Artem Aliev, Jie Wang, Xiao Cheng, Guangtai Liang, Yuchi Ma, Pan Bian, Tao Xie, Qianxiang Wang:
CodeR: Issue Resolving with Multi-Agent and Task Graphs. - Fanyi Qu, Hao Sun, Yunfang Wu:
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding. - Eugene Goldberg:
On Efficient Algorithms For Partial Quantifier Elimination. - Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires:
REvolve: Reward Evolution with Large Language Models for Autonomous Driving. - Sushant Gautam:
FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge Graphs. - Hongjiang Lei, Xiaqiu Wu, Ki-Hong Park, Gaofeng Pan:
3D Trajectory Design for Energy-constrained Aerial CRNs Under Probabilistic LoS Channel. - Firas Khader, Omar S. M. El Nahhas, Tianyu Han, Gustav Müller-Franzes, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization. - Giovanni Barbarani, Francesco Vaccarino, Gabriele Trivigno, Marco Guerra, Gabriele Moreno Berton, Carlo Masone:
Scale-Free Image Keypoints Using Differentiable Persistent Homology. - Vítor Fortes Rey, Lala Shakti Swarup Ray, Qingxin Xia, Kaishun Wu, Paul Lukowicz:
Enhancing Inertial Hand based HAR through Joint Representation of Language, Pose and Synthetic IMUs. - Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach:
The Intelligible and Effective Graph Neural Additive Networks. - Mahsa Kadkhodaei Elyaderani, Shahram Shirani:
Sequence-to-Sequence Multi-Modal Speech In-Painting. - Aurora Zhang, Annette Hosoi:
Structural Interventions and the Dynamics of Inequality. - Weichao Zhao, Hao Feng, Qi Liu, Jingqun Tang, Shu Wei, Binghong Wu, Lei Liao, Yongjie Ye, Hao Liu, Houqiang Li, Can Huang:
TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy. - Philipp Spitzer, Niklas Kühl, Marc Goutier, Manuel Kaschura, Gerhard Satzger:
Transferring Domain Knowledge with (X)AI-Based Learning Systems. - Yuanming Tian, Dan Wang, Chuan Huang, Wei Zhang:
Performance Trade-off of Integrated Sensing and Communications for Multi-User Backscatter Systems. - Zhenhua Liu, Tong Zhu, Chuanyuan Tan, Haonan Lu, Bing Liu, Wenliang Chen:
Probing Language Models for Pre-training Data Detection. - Mengcheng Li, Hongwen Zhang, Yuxiang Zhang, Ruizhi Shao, Tao Yu, Yebin Liu:
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models. - Ka Lung Cheung, Chi Chung Lee:
ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point Clouds. - Donghwi Kim, Hyungjun Yoon, Chang Min Park, Sujin Han, Youngjin Kwon, Steven Y. Ko, Sung-Ju Lee:
Recover as It is Designed to Be: Recovering from Compatibility Mobile App Crashes by Reusing User Flows. - Qi Cao, Yurong Song, Min Li, Ruqi Li, Hongbo Qu, Guo-Ping Jiang, Jinye Xiong:
Important node identification for complex networks based on improved Electre Multi-Attribute fusion. - Dustin Wright, Christian Igel, Raghavendra Selvan:
BMRS: Bayesian Model Reduction for Structured Pruning. - Jochen Hinz:
Conforming Spline-Based Parameterisation Techniques for Plane Graphs. - Enhui Ma, Lijun Zhou, Tao Tang, Zhan Zhang, Dong Han, Junpeng Jiang, Kun Zhan, Peng Jia, Xianpeng Lang, Haiyang Sun, Di Lin, Kaicheng Yu:
Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation. - Martina G. Vilas, Federico Adolfi, David Poeppel, Gemma Roig:
Position Paper: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. - Yu-Lin Tsai, Yizhe Li, Zekai Chen, Po-Yu Chen, Chia-Mu Yu, Xuebin Ren, Francois Buet-Golfouse:
Differentially Private Fine-Tuning of Diffusion Models. - Ke-Lei Wang, Pin-Hsuan Chou, Young-Ching Chou, Chia-Jen Liu, Cheng-Kuan Lin, Yu-Chee Tseng:
MP-PolarMask: A Faster and Finer Instance Segmentation for Concave Images. - Ken Deng, Jiaheng Liu, He Zhu, Congnan Liu, Jingxin Li, Jiakai Wang, Peng Zhao, Chenchen Zhang, Yanan Wu, Xueqiao Yin, Yuanxing Zhang, Wenbo Su, Bangyu Xiang, Tiezheng Ge, Bo Zheng:
R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models. - Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou:
Learning to Play Atari in a World of Tokens. - Sichun Luo, Wei Shao, Yuxuan Yao, Jian Xu, Mingyang Liu, Qintong Li, Bowei He, Maolin Wang, Guanzhi Deng, Hanxu Hou, Xinyi Zhang, Linqi Song:
Privacy in LLM-based Recommendation: Recent Advances and Future Directions. - Diego Dorn, Alexandre Variengien, Charbel-Raphaël Ségerie, Vincent Corruble:
BELLS: A Framework Towards Future Proof Benchmarks for the Evaluation of LLM Safeguards. - Géraldin Nanfack, Michael Eickenberg, Eugene Belilovsky:
From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation. - Yukun Ge, Rui Zong, Xiaoshuai Zhang, Thrishantha Nanayakkara:
An Origami-Inspired Endoscopic Capsule with Tactile Perception for Early Tissue Anomaly Detection. - Cem Bozsahin:
Linguistic Analysis, Description, and Typological Exploration with Categorial Grammar (TheBench Guide). - Martin Bullinger, Sonja Kraiczy:
Stability in Random Hedonic Games. - Filip Mikina, Pawel Zuk, Krzysztof Rzadca:
sAirflow: Adopting Serverless in a Legacy Workflow Scheduler. - Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng:
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. - Weihao Zeng, Joseph Campbell, Simon Stepputtis, Katia P. Sycara:
Multi-Agent Transfer Learning via Temporal Contrastive Learning. - Chenjie Mao, Qiaosheng Zhang:
A Theory of Learnability for Offline Decision Making. - Shiqi Liu, Wenhan Cao, Chang Liu, Tianyi Zhang, Shengbo Eben Li:
Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers. - Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan:
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function. - Rhys Howard, Lars Kunze:
Extending Structural Causal Models for Use in Autonomous Embodied Systems. - Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen:
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. - Junhao Cheng, Xi Lu, Hanhui Li, Khun Loun Zai, Baiqiao Yin, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang:
AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation. - Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni:
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation. - Da Ma, Lu Chen, Pengyu Wang, Hongshen Xu, Hanqi Li, Liangtai Sun, Su Zhu, Shuai Fan, Kai Yu:
Sparsity-Accelerated Training for Large Language Models. - Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Huiping Zhuang, Cen Chen:
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. - Antonio Santo, Juan José Cabrera, David Valiente, Carlos Viegas, Arturo Gil:
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation. - Lucas Wright, Roxana Mika Muenster, Briana Vecchione, Tianyao Qu, Pika Senhuang Cai, Jacob Metcalf, J. Nathan Matias:
Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability. - Tao Li, Linjun Shou, Xuejun Liu:
Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering. - Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard:
Performance comparison of Dask and Apache Spark on HPC systems for Neuroimaging. - Jakob Bach:
Using Constraints to Discover Sparse and Alternative Subgroup Descriptions. - Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian Guo:
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework. - Kevin Kasa, Zhiyu Zhang, Heng Yang, Graham W. Taylor:
Adapting Conformal Prediction to Distribution Shifts Without Labels. - Lifeng Shen, Jincheng Yu, Hansi Yang, James T. Kwok:
Mixup Augmentation with Multiple Interpolations. - Sudhanshu Tiwari, Anuj Ashok, Connor Devitt, Sunil A. Bhave, Renyuan Wang:
High-performance magnetostatic wave resonators through deep anisotropic etching of GGG substrates. - Phillip Fernberg, Zihao Zhang:
Problematizing AI Omnipresence in Landscape Architecture. - Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li:
How to Understand Whole Software Repository? - Yaniv Oren, Moritz A. Zanger, Pascal R. van der Vaart, Matthijs T. J. Spaan, Wendelin Böhmer:
Value Improved Actor Critic Algorithms. - Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip H. S. Torr, Adel Bibi:
Universal In-Context Approximation By Prompting Fully Recurrent Models. - Laura Y. Zheng, Wenjie Wei, Tony Wu, Jacob Clements, Shreelekha Revankar, Andre Harrison, Yu Shen, Ming C. Lin:
Sensitivity-Informed Augmentation for Robust Segmentation. - Claus Kestel, Lucas Johannsen, Norbert Wehn:
High Throughput Polar Code Decoders with Information Bottleneck Quantization. - Martin J. Hetz, Nicolas Carl, Sarah Haggenmüller, Christoph Wies, Maurice Stephan Michel, Frederik Wessels, Titus J. Brinker:
Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study. - Thanh-Dat Truong, Utsav Prabhu, Dongyi Wang, Bhiksha Raj, Susan Gauch, Jeyamkondan Subbiah, Khoa Luu:
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding. - Laura Yu Zheng, Sanghyun Son, Jing Liang, Xijun Wang, Brian Clipp, Ming C. Lin:
Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic. - Thanh-Dat Truong, Xin Li, Bhiksha Raj, Jackson David Cothren, Khoa Luu:
ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models. - Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning. - Cheng-Hsun Hsueh, Paul Kuo-Ming Huang, Tzu-Han Lin, Che-Wei Liao, Hung-Chieh Fang, Chao-Wei Huang, Yun-Nung Chen:
Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models. - Lidia Aceto, Luca Gemignani:
Computing the Action of the Generating Function of Bernoulli Polynomials on a Matrix with An Application to Non-local Boundary Value Problems. - Bart Cox, Abele Malan, Lydia Y. Chen, Jérémie Decouchant:
Asynchronous Byzantine Federated Learning. - Yuncong Zuo, Bart Cox, Lydia Y. Chen, Jérémie Decouchant:
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. - Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang:
LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation. - Ara Yeroyan, Nikolay Karpov:
Enabling ASR for Low-Resource Languages: A Comprehensive Dataset Creation Approach. - Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer:
SLANT: Spurious Logo ANalysis Toolkit. - Danni Yang, Jiayi Ji, Yiwei Ma, Tianyu Guo, Haowei Wang, Xiaoshuai Sun, Rongrong Ji:
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation. - Alfreds Lapkovskis, Natalia Nefedova, Ali Beikmohammadi:
Automatic Fused Multimodal Deep Learning for Plant Identification. - Andrew K. Hirsch:
Corps: A Core Calculus of Hierarchical Choreographic Programming. - Toan V. Tran, Li Xiong:
Differentially Private Tabular Data Synthesis using Large Language Models. - Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang:
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. - Bobak T. Kiani, Jason Wang, Melanie Weber:
Hardness of Learning Neural Networks under the Manifold Hypothesis. - Yuda Song, Gokul Swamy, Aarti Singh, J. Andrew Bagnell, Wen Sun:
Understanding Preference Fine-Tuning Through the Lens of Coverage. - Baowen Zhang, Chuan Fang, Rakesh Shrestha, Yixun Liang, Xiaoxiao Long, Ping Tan:
RaDe-GS: Rasterizing Depth in Gaussian Splatting. - Hakaze Cho, Yoshihiro Sakai, Kenshiro Tanaka, Mariko Kato, Naoya Inoue:
Understanding Token Probability Encoding in Output Embeddings. - Mohammad Majid al-Rifaie, Tim Blackwell:
Tomographic Reconstruction and Regularisation with Search Space Expansion and Total Variation. - Luka Grbcic, Minok Park, Mahmoud Elzouka, Ravi Prasher, Juliane Müller, Costas P. Grigoropoulos, Sean D. Lubner, Vassilia Zorba, Wibe Albert de Jong:
Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing. - Tianyu Huang, Yihan Zeng, Hui Li, Wangmeng Zuo, Rynson W. H. Lau:
DreamPhysics: Learning Physical Properties of Dynamic 3D Gaussians with Video Diffusion Priors. - Anvith Thudi, Chris J. Maddison:
Finding Optimally Robust Data Mixtures via Concave Maximization. - Nanyi Zheng, Xiaofeng Cai, Jing-Mei Qiu, Jianxian Qiu:
Non-splitting Eulerian-Lagrangian WENO schemes for two-dimensional nonlinear convection-diffusion equations. - Ka Lung Cheung, Chi Chung Lee:
Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment. - Jinyan Su, Sarah Dean:
Learning from Streaming Data when Users Choose. - Ruan P. Alves, Joao Guilherme A. da S. Alves, Mikael R. Camelo, Wilker O. de Feitosa, Victor Farias Monteiro, Francisco Rodrigo P. Cavalcanti:
Experimental comparison of 5G SDR platforms: srsRAN x OpenAirInterface. - Luigi Seminara, Giovanni Maria Farinella, Antonino Furnari:
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos. - Panagiotis N. Gavriilidis, George C. Alexandropoulos:
Near-Field Beam Tracking with Extremely Large Dynamic Metasurface Antennas. - Yang Liu, Xiaofei Li, Jun Zhang, Shengze Hu, Jun Lei:
DA-HFNet: Progressive Fine-Grained Forgery Image Detection and Localization Based on Dual Attention. - Jiahao Shao, Yuanbo Yang, Hongyu Zhou, Youmin Zhang, Yujun Shen, Matteo Poggi, Yiyi Liao:
Learning Temporally Consistent Video Depth from Video Diffusion Priors. - Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone:
Robust Classification by Coupling Data Mollification with Label Smoothing. - Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng:
Reflection-Reinforced Self-Training for Language Agents. - Jean Christoph Jung, Jedrzej Kolodziejski:
Modal Separability of Fixpoint Formulae. - Matheus Campos Fernandes, Fabrício Olivetti de França, Emilio Francesquini:
Going Bananas! - Unfolding Program Synthesis with Origami. - Jiaxian Huang, Yi Huang, Yong Zhang, Jiao Zhang:
Spatiotemporal evolution of PM2.5 diffusion in Cheng-Yu urban agglomeration in response to COVID-19 lockdown using complex network. - Kiho Park, Yo Joong Choe, Yibo Jiang, Victor Veitch:
The Geometry of Categorical and Hierarchical Concepts in Large Language Models. - Yiqian Yang, Hyejeong Jo, Yiqun Duan, Qiang Zhang, Jinni Zhou, Won Hee Lee, Renjing Xu, Hui Xiong:
MAD: Multi-Alignment MEG-to-Text Decoding. - Haozheng Luo, Jiahao Yu, Wenxin Zhang, Jialong Li, Jerry Yao-Chieh Hu, Xinyu Xing, Han Liu:
Decoupled Alignment for Robust Plug-and-Play Adaptation. - Bruno Messias Farias de Resende:
Beyond symmetrization: effective adjacency matrices and renormalization for (un)singed directed graphs. - Jakob Heher, Lena Heimberger, Stefan More:
BISON: Blind Identification through Stateless scOpe-specific derivatioN. - Dong Wang, Giovanni Beltrame:
MOSEAC: Streamlined Variable Time Step Reinforcement Learning. - Jakub Houlík, Jan Valentin, Vaclav Nezerka:
Predicting the fatigue life of asphalt concrete using neural networks. - Xusheng Zhi, Thomas W. Reps:
Polynomial Bounds of CFLOBDDs against BDDs. - Haibo Xiu, Pankaj K. Agarwal, Jun Yang:
PARQO: Penalty-Aware Robust Query Optimization. - Mehmet Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, Manuel Dahmen:
Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data. - Lara Orlandic, Jonathan Dan, Jérôme Thevenot, Tomás Teijeiro, Alain Sauty, David Atienza:
How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance. - Ebrahim Feghhi, Nima Hadidi, Bryan Song, Idan Blank, Jonathan C. Kao:
What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores. - Simone Brugiapaglia, Nick C. Dexter, Samir Karam, Weiqi Wang:
Physics-informed deep learning and compressive collocation for high-dimensional diffusion-reaction equations: practical existence theory and numerics. - Fazel Arasteh, Mohammed Elmahgiubi, Behzad Khamidehi, Hamidreza Mirkhani, Weize Zhang, Kasra Rezaee:
Learning from Mistakes: a Weakly-supervised Method for Mitigating the Distribution Shift in Autonomous Vehicle Planning. - Sadek Belamfedel Alaoui, Adnane Saoud:
How to discretize continuous state-action spaces in Q-learning: A symbolic control approach. - Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin:
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. - Maryam Hosseini, Marco Cipriano, Sedigheh Eslami, Daniel Hodczak, Liu Liu, Andres Sevtsuk, Gerard de Melo:
ELSA: Evaluating Localization of Social Activities in Urban Streets. - Wasim Akram:
Feedback Stabilization and Finite Element Error Analysis of Viscous Burgers Equation around Non-Constant Steady State. - Xiao Chen, Xudong Jiang, Yunkang Tao, Zhen Lei, Qing Li, Chenyang Lei, Zhaoxiang Zhang:
Towards Flexible Interactive Reflection Removal with Human Guidance. - Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer M. Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu:
Prototypical Transformer as Unified Motion Learners. - Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang:
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation. - Kevin Roice, Parham Mohammad Panahi, Scott M. Jordan, Adam White, Martha White:
A New View on Planning in Online Reinforcement Learning. - Fangcong Yin, Xi Ye, Greg Durrett:
LoFiT: Localized Fine-tuning on LLM Representations. - Yixuan Mei, Yonghao Zhuang, Xupeng Miao, Juncheng Yang, Zhihao Jia, Rashmi Vinayak:
Helix: Distributed Serving of Large Language Models via Max-Flow on Heterogeneous GPUs. - Brian Lee, Nikolai Matni:
Single Trajectory Conformal Prediction. - Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten:
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models. - Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen:
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. - Andrew Jacobsen, Francesco Orabona:
An Equivalence Between Static and Dynamic Regret Minimization. - Bhuwan Paudel, Javier Gonzalez-Huerta, Ehsan Zabardast, Eriks Klotins:
Towards Measuring the Impact of Technical Debt on Lead Time: An Industrial Case Study. - Chun Gu, Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang:
Tetrahedron Splatting for 3D Generation. - Jason D. Lee, Kazusato Oko, Taiji Suzuki, Denny Wu:
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit. - Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi:
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP. - An-Chieh Cheng, Hongxu Yin, Yang Fu, Qiushan Guo, Ruihan Yang, Jan Kautz, Xiaolong Wang, Sifei Liu:
SpatialRGPT: Grounded Spatial Reasoning in Vision Language Model. - Guanxing Lu, Zifeng Gao, Tianxing Chen, Wenxun Dai, Ziwei Wang, Yansong Tang:
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation. - Yupeng Zheng, Zebin Xing, Qichao Zhang, Bu Jin, Pengfei Li, Yuhang Zheng, Zhongpu Xia, Kun Zhan, Xianpeng Lang, Yaran Chen, Dongbin Zhao:
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning. - Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo, Iñaki Ucar:
nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomials. - Chun-Hung Wu, Shih-Hong Chen, Chih-Yao Hu, Hsin-Yu Wu, Kai-Hsin Chen, Yu-You Chen, Chih-Hai Su, Chih-Kuo Lee, Yu-Lun Liu:
DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation. - Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson:
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. - Shaojie Ma, Yawei Luo, Yi Yang:
Reconstructing and Simulating Dynamic 3D Objects with Mesh-adsorbed Gaussian Splatting. - Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie:
DiffUHaul: A Training-Free Method for Object Dragging in Images. - Zeren Jiang, Chen Guo, Manuel Kaufmann, Tianjian Jiang, Julien Valentin, Otmar Hilliges, Jie Song:
MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild. - Henan Wang, Hanxin Zhu, Tianyu He, Runsen Feng, Jiajun Deng, Jiang Bian, Zhibo Chen:
End-to-End Rate-Distortion Optimized 3D Gaussian Representation. - Zehong Ke, Yanbo Jiang, Yuning Wang, Hao Cheng, Jinhao Li, Jianqiang Wang:
D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation. - Wei Ji, Li Li, Zheqi Lv, Wenqiao Zhang, Mengze Li, Zhen Wan, Wenqiang Lei, Roger Zimmermann:
Backpropogation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration. - Tomoya Yanagi, Shunnosuke Ikeda, Noriyoshi Sukegawa, Yuichi Takano:
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets. - Xiaolun Jing, Genke Yang, Jian Chu:
An Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval. - Karan Goyal, Mayank Goel, Vikram Goyal, Mukesh K. Mohania:
SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation. - Hongliu Cao:
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark. - Arya Ramteke, Sankalp Tembhurne, Gunesh Sonawane, Ratnmala N. Bhimanpallewar:
Detecting Deceptive Dark Patterns in E-commerce Platforms. - Akshat Mohan Dasula, Hrushitha Tigulla, Preethika Bhukya:
Judgement Citation Retrieval using Contextual Similarity. - Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel:
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. - Anjanava Biswas, Wrick Talukdar:
FinEmbedDiff: A Cost-Effective Approach of Classifying Financial Documents with Vector Sampling using Multi-modal Embedding Models. - Eric Li, Jim Waldo:
WebSuite: Systematically Evaluating Why Web Agents Fail. - Zongwei Li, Lianghao Xia, Chao Huang:
RecDiff: Diffusion Model for Social Recommendation. - Nathan Corecco, Giorgio Piatti, Luca A. Lanzendörfer, Flint Xiaofeng Fan, Roger Wattenhofer:
An LLM-based Recommender System Environment. - Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan:
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots. - Richard Fang, Rohan Bindu, Akul Gupta, Qiusi Zhan, Daniel Kang:
Teams of LLM Agents can Exploit Zero-Day Vulnerabilities. - Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao:
TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment. - John L. Zhou, Weizhe Hong, Jonathan C. Kao:
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents. - Yijun Chen, Kanghong Shi, Ian R. Petersen, Elizabeth L. Ratnam:
Unified Control of Voltage, Frequency and Angle in Electrical Power Systems: A Passivity and Negative-Imaginary based Approach. - Kun Chen, Tao Chen, Peng Ye, Hao Chen, Kang Chen, Tao Han, Wanli Ouyang, Lei Bai:
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation. - Mengxi Liu, Sizhen Bian, Bo Zhou, Paul Lukowicz:
iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets. - Mooho Song, Jay-Yoon Lee:
An Analysis under a Unified Fomulation of Learning Algorithms with Output Constraints. - Franz Motzkus, Christian Hellert, Ute Schmid:
CoLa-DCE - Concept-guided Latent Diffusion Counterfactual Explanations. - Massimo Pavan, Gioele Mombelli, Francesco Sinacori, Manuel Roveri:
TinySV: Speaker Verification in TinyML with On-device Learning. - Song Tang, Wenxin Su, Mao Ye, Jianwei Zhang, Xiatian Zhu:
Proxy Denoising for Source-Free Domain Adaptation. - K. Feike, Patrick Kurzeja, Jörn Mosler, K. Langenfeld:
Limits of isotropic damage models for complex load paths - beyond stress triaxiality and Lode angle parameter. - Eugene Choi, Arash Ahmadian, Matthieu Geist, Olivier Pietquin, Mohammad Gheshlaghi Azar:
Self-Improving Robust Preference Optimization. - Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner:
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization. - Zane Durante, Robathan Harries, Edward Vendrow, Zelun Luo, Yuta Kyuragi, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli:
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL). - Abhimanyu Bambhaniya, Ritik Raj, Geonhwa Jeong, Souvik Kundu, Sudarshan Srinivasan, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna:
Demystifying Platform Requirements for Diverse LLM Inference Use Cases. - Navid Mehrdad, Vishal Rathi, Sravanthi Rajanala:
Session Context Embedding for Intent Understanding in Product Search. - Mahmoud Ghorbel, Halima Bouzidi, Ioan Marius Bilasco, Ihsen Alouani:
Model for Peanuts: Hijacking ML Models without Training Access is Possible. - Rafael I. Cabral Muchacho, Florian T. Pokorny:
Walk on Spheres for PDE-based Path Planning. - Haokun Lin, Haobo Xu, Yichen Wu, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying Wei:
Rotation and Permutation for Advanced Outlier Management and Efficient Quantization of LLMs. - Minhyuk Jang, Astghik Hakobyan, Insoon Yang:
Wasserstein Distributionally Robust Control and State Estimation for Partially Observable Linear Systems. - Thomas Fork, Francesco Camozzi, Xiao-Yu Fu, Francesco Borrelli:
Predictive Braking on a Nonplanar Road. - Thomas Fork, Francesco Borrelli:
A General 3D Road Model for Motorcycle Racing. - Sravan Reddy Chintareddy, Keenan Roach, Kenny Cheung, Morteza Hashemi:
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems. - N. R. Aravind, Roopam Saxena:
The Parameterized Complexity of Terminal Monitoring Set. - Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang:
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching. - Jakob Dittrich, Rainhard Dieter Findling:
Good Vibes! Towards Phone-to-User Authentication Through Wristwatch Vibrations. - Richard Lettich:
A Surprisingly Simple Method for Distributed Euclidean-Minimum Spanning Tree / Single Linkage Dendrogram Construction from High Dimensional Embeddings via Distance Decomposition. - Jan Scheffel:
Time-Spectral Efficiency. - Jukka Ruohonen, Kalle Hjerppe, Katleena Kortesuo:
Crisis Communication in the Face of Data Breaches. - Kristiina Jokinen, Phillip Schneider, Taiga Mori:
Towards Harnessing Large Language Models for Comprehension of Conversational Grounding. - Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt:
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification. - Aleksandra Irena Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor:
Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization. - Alberto Boggio Tomasaz, Margarida Carvalho, Roberto Cordone, Pierre Hosteins:
On the completeness of several fortification-interdiction games in the Polynomial Hierarchy. - Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh:
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. - Christoph Wehner, Chrysa Iliopoulou, Tarek R. Besold:
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures. - Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou:
Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. - Lucrezia Rinelli, Arianna Travaglini, Nicolò Vescera, Gianluca Vinti:
An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms. - Fatemeh Nourilenjan Nokabadi, Jean-François Lalonde, Christian Gagné:
Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers. - Mo Zhou, Rong Ge:
How Does Gradient Descent Learn Features - A Local Analysis for Regularized Two-Layer Neural Networks. - Siang Chen, Pengwei Xie, Wei Tang, Dingchang Hu, Guijin Wang:
Region-aware Grasp Framework with Normalized Grasp Space for 6-DoF Grasping in Cluttered Scene. - Rasoul Nikbakht, Mohamed Benzaghta, Giovanni Geraci:
TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications. - Wen Lai, Mohsen Mesgar, Alexander Fraser:
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback. - Yuanli Wang, Lei Huang:
Efficient Data Distribution Estimation for Accelerated Federated Learning. - Kerim Büyükakyüz:
OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models. - Parinaz Barakhshan, Rudolf Eigenmann:
Best Practices for Developing Computational and Data-Intensive (CDI) Applications. - Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio:
DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform. - Leopoldo Agorio, Sean Van Alen, Miguel Calvo-Fullana, Santiago Paternain, Juan Andrés Bazerque:
Multi-agent assignment via state augmented reinforcement learning. - Lars Ackermann, Martin Käppel, Laura Marcus, Linda Moder, Sebastian Dunzer, Markus Hornsteiner, Annina Liessmann, Yorck Zisgen, Philip Empl, Lukas-Valentin Herm, Nicolas Neis, Julian Neuberger, Leo Poss, Myriam Schaschek, Sven Weinzierl, Niklas Wördehoff, Stefan Jablonski, Agnes Koschmider, Wolfgang Kratsch, Martin Matzner, Stefanie Rinderle-Ma, Maximilian Röglinger, Stefan Schönig, Axel Winkelmann:
Recent Advances in Data-Driven Business Process Management. - Deekshitha, Rena Bakhshi, Jason Maassen, Carlos Martinez-Ortiz, Rob van Nieuwpoort, Slinger Jansen:
RSMM: A Framework to Assess Maturity of Research Software Project. - Mario Truss, Stephan Böhm:
AI-based Classification of Customer Support Tickets: State of the Art and Implementation with AutoML. - Weitong Cai, Jiabo Huang, Shaogang Gong:
Hybrid-Learning Video Moment Retrieval across Multi-Domain Labels. - Keith J. C. Johnson, Andrew Reynolds, Thomas W. Reps, Loris D'Antoni:
The SemGuS Toolkit. - Andreas Schlaginhaufen, Maryam Kamgarpour:
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning. - Zishuo Zhao, Xi Chen, Yuan Zhou:
It Takes Two: A Peer-Prediction Solution for Blockchain Verifier's Dilemma. - Paolo Cudrano, Xiaoyu Luo, Matteo Matteucci:
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry. - Noah Golowich, Elad Hazan, Zhou Lu, Dhruv Rohatgi, Y. Jennifer Sun:
Online Control in Population Dynamics. - Nan Wang, Ricardo G. Sanfelice:
Motion Planning for Hybrid Dynamical Systems: Framework, Algorithm Template, and a Sampling-based Approach. - Gian Carlo Maffettone, Alain Boldini, Maurizio Porfiri, Mario di Bernardo:
Leader-Follower Density Control of Spatial Dynamics in Large-Scale Multi-Agent Systems. - Andrei Margeloiu, Adrián Bazaga, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting. - Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. - Grzegorz Kaszuba, Amirhossein D. Naghdi, Dario Massa, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski:
In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs. - Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De, Bradley A. Malin, Yevgeniy Vorobeychik:
A Game-Theoretic Approach to Privacy-Utility Tradeoff in Sharing Genomic Summary Statistics. - Bernard J. Giron Castro, Christophe Peucheret, Francesco Da Ros:
Memory Capacity Analysis of Time-delay Reservoir Computing Based on Silicon Microring Resonator Nonlinearities. - Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone:
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. - Yang Nan, Guang Yang:
Deep asymmetric mixture model for unsupervised cell segmentation. - Leonardo Iurada, Marco Ciccone, Tatiana Tommasi:
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning. - Hormoz Shahrzad, Risto Miikkulainen:
GPU-Accelerated Rule Evaluation and Evolution. - Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler:
Causal Discovery with Fewer Conditional Independence Tests. - Yunni Qu, James Wellnitz, Alexander Tropsha, Junier Oliva:
EMOE: Expansive Matching of Experts for Robust Uncertainty Based Rejection. - Aleksander Plocharski, Jan Swidzinski, Joanna Porter-Sobieraj, Przemyslaw Musialski:
FacAID: A Transformer Model for Neuro-Symbolic Facade Reconstruction. - Enrico Martini, Harshil Parekh, Shaoting Peng, Nicola Bombieri, Nadia Figueroa:
A Robust Filter for Marker-less Multi-person Tracking in Human-Robot Interaction Scenarios. - Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee:
CAFO: Feature-Centric Explanation on Time Series Classification. - Mykola Trokhymovych, Indira Sen, Martin Gerlach:
An Open Multilingual System for Scoring Readability of Wikipedia. - Maxime Zanella, Benoît Gérin, Ismail Ben Ayed:
Boosting Vision-Language Models with Transduction. - Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor:
Learning the Target Network in Function Space. - Scott Freitas, Amir Gharib:
GraphWeaver: Billion-Scale Cybersecurity Incident Correlation. - Zhipeng Cai, Matthias Mueller, Reiner Birkl, Diana Wofk, Shao-Yen Tseng, Junda Cheng, Gabriela Ben Melech Stan, Vasudev Lal, Michael Paulitsch:
L-MAGIC: Language Model Assisted Generation of Images with Coherence. - Disha Kamale, Cristian-Ioan Vasile:
Optimal Control Synthesis with Relaxed Global Temporal Logic Specifications for Homogeneous Multi-robot Teams. - Mingming Wang, Elijah Miller:
Turning Text and Imagery into Captivating Visual Video. - Shilo Daum, Tal Shapira, Anat Bremler-Barr, David Hay:
Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO. - Riqiang Gao, Florin C. Ghesu, Simon Arberet, Shahab Basiri, Esa Kuusela, Martin Kraus, Dorin Comaniciu, Ali Kamen:
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy. - Aisha Khatun, Daniel G. Brown:
TruthEval: A Dataset to Evaluate LLM Truthfulness and Reliability. - Haoyan Shi, Sanjay Mehrotra:
On Approximation of Robust Max-Cut and Related Problems using Randomized Rounding Algorithms. - Hugo Melchers, Joost Prins, Michael R. A. Abdelmalik:
Neural Green's Operators for Parametric Partial Differential Equations. - Jian-Qiao Zhu, Thomas L. Griffiths:
Eliciting the Priors of Large Language Models using Iterated In-Context Learning. - Emilio Ferrara:
Charting the Landscape of Nefarious Uses of Generative Artificial Intelligence for Online Election Interference. - Jiexin Wang, Adam Jatowt, Yi Cai:
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models. - Ashwin Rao, Nazanin Sabri, Siyi Guo, Louiqa Raschid, Kristina Lerman:
#EpiTwitter: Public Health Messaging During the COVID-19 Pandemic. - Kengo Uchida, Takashi Shibuya, Yuhta Takida, Naoki Murata, Shusuke Takahashi, Yuki Mitsufuji:
MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training. - Christine Dewi, Dhananjay R. Thiruvady, Nayyar Zaidi:
Fruit Classification System with Deep Learning and Neural Architecture Search. - Kaiwen Wu, Jacob R. Gardner:
Understanding Stochastic Natural Gradient Variational Inference. - Alex Wollman, John Hastings:
A Survey of Unikernel Security: Insights and Trends from a Quantitative Analysis. - Qian Lou, Xin Liang, Jiaqi Xue, Yancheng Zhang, Rui Xie, Mengxin Zheng:
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models. - Xuanqing Liu, Luyang Kong, Runhui Wang, Patrick Song, Austin Nevins, Henrik Johnson, Nimish Amlathe, Davor Golac:
GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security. - Haiming Wu, Hanqing Zhang, Richeng Xuan, Dawei Song:
Bi-DCSpell: A Bi-directional Detector-Corrector Interactive Framework for Chinese Spelling Check. - Ziyang Wang, Jianzhou You, Haining Wang, Tianwei Yuan, Shichao Lv, Yang Wang, Limin Sun:
HoneyGPT: Breaking the Trilemma in Terminal Honeypots with Large Language Model. - Jiangrong Shen, Wenyao Ni, Qi Xu, Gang Pan, Huajin Tang:
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity. - Xinghui Zhou, Wenbo Zhou, Tianyi Wei, Shen Chen, Taiping Yao, Shouhong Ding, Weiming Zhang, Nenghai Yu:
Rank-based No-reference Quality Assessment for Face Swapping. - Archana Bura, Ushasi Ghosh, Dinesh Bharadia, Srinivas Shakkottai:
Windex: Realtime Neural Whittle Indexing for Scalable Service Guarantees in NextG Cellular Networks. - Jonghan Lim, Birgit Vogel-Heuser, Ilya Kovalenko:
Large Language Model-Enabled Multi-Agent Manufacturing Systems. - Yi Pan, Jun-Jie Huang, Zihan Chen, Wentao Zhao, Ziyue Wang:
SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks. - Mahdi Sabbaghi, George J. Pappas, Hamed Hassani, Surbhi Goel:
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks. - Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang:
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. - Yue Ma, Hongyu Liu, Hongfa Wang, Heng Pan, Yingqing He, Junkun Yuan, Ailing Zeng, Chengfei Cai, Heung-Yeung Shum, Wei Liu, Qifeng Chen:
Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation. - Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan:
Bifurcated Generative Flow Networks. - Xinyi Gu, Mohammad Rowshan, Jinhong Yuan:
Reverse PAC Codes: Look-ahead List Decoding. - Chen Mao, Jingqi Hu:
ProGEO: Generating Prompts through Image-Text Contrastive Learning for Visual Geo-localization. - Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun:
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. - Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma:
A Global Geometric Analysis of Maximal Coding Rate Reduction. - John Larkin:
Convergence Properties of the Asynchronous Maximum Model. - Lingling Zhang, Hong Jiang, Ye Yuan, Guoren Wang:
Influence Maximization in Hypergraphs by Stratified Sampling for Efficient Generation of Reverse Reachable Sets. - Shaorong Zhang, Yuanbin Cheng, Nanpeng Yu:
Generating Synthetic Net Load Data with Physics-informed Diffusion Model. - Yu Tian, Tianqi Shao, Tsukasa Demizu, Xuyang Wu, Hsin-Tai Wu:
HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language Model. - Jonghan Lim, Sujani Patel, Alex Evans, John Pimley, Yifei Li, Ilya Kovalenko:
Enhancing Human-Robot Collaborative Assembly in Manufacturing Systems Using Large Language Models. - Yuzhou Ji, He Zhu, Junshu Tang, Wuyi Liu, Zhizhong Zhang, Yuan Xie, Lizhuang Ma, Xin Tan:
FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping. - Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik:
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. - Yangjie Zhong, Jia Liu, Yan Ke, Meiqi Liu:
Image steganography based on generative implicit neural representation. - Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar R. Zaïane, Boxing Chen:
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection. - Junho Kim, Hyunjun Kim, Yeonju Kim, Yong Man Ro:
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models. - Thai-Hoc Vu, Daniel Benevides da Costa, Vo Nguyen Quoc Bao, Sunghwan Kim:
A Novel Paradigm Shift for Next-Generation: Symbiotic Backscatter Rate-Splitting Multiple Access Systems. - Niladri Das, Ross Guttromson, Tommie A. Catanach:
Development of Bayesian Component Failure Models in E1 HEMP Grid Analysis. - Wenjie Liu, Panos Papadimitratos:
Position-based Rogue Access Point Detection. - Yinchuan Wang, Nianfei Du, Yongsen Qin, Xiang Zhang, Rui Song, Chaoqun Wang:
History-Aware Planning for Risk-free Autonomous Navigation on Unknown Uneven Terrain. - Xu Zhang, Marcos M. Vasconcelos:
Fast networked data selection via distributed smoothed quantile estimation. - Ravit Dotan, Lisa S. Parker, John G. Radzilowicz:
Responsible Adoption of Generative AI in Higher Education: Developing a "Points to Consider" Approach Based on Faculty Perspectives. - Youcheng Huang, Jingkun Tang, Duanyu Feng, Zheng Zhang, Wenqiang Lei, Jiancheng Lv, Anthony G. Cohn:
Dishonesty in Helpful and Harmless Alignment. - Heather Doig, Oscar Pizarro, Jacquomo Monk, Stefan B. Williams:
Detecting Endangered Marine Species in Autonomous Underwater Vehicle Imagery Using Point Annotations and Few-Shot Learning. - Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Yunzhi Liang, Wenyuan Zhang, Siqi Wang, Tingwen Liu:
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. - Mohammad Sina Nabizadeh, Ritoban Roy-Chowdhury, Hang Yin, Ravi Ramamoorthi, Albert Chern:
Fluid Implicit Particles on Coadjoint Orbits. - Yiqiu Wang, Meixia Tao, Shu Sun:
Cramér-Rao Bound Analysis and Beamforming Design for Integrated Sensing and Communication with Extended Targets. - Zhengyi Kwan, Wei Zhang, Zhengkui Wang, Aik Beng Ng, Simon See:
Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing. - Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng:
Speeding up Policy Simulation in Supply Chain RL. - Jianqiao Lu, Zhengying Liu, Yingjia Wan, Yinya Huang, Haiming Wang, Zhicheng Yang, Jing Tang, Zhijiang Guo:
Process-Driven Autoformalization in Lean 4. - Manuel Muñoz Sánchez, Gijs Trots, Robin Smit, Pedro Vieira Oliveira, Emilia Silvas, Jos Elfring, René van de Molengraft:
SDS++: Online Situation-Aware Drivable Space Estimation for Automated Driving. - Nik Bear Brown:
Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs. - Tong Zhou, Xuandong Zhao, Xiaolin Xu, Shaolei Ren:
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature. - Julian Lee, Kamal Viswanath, Alisha Sharma, Jason Geder, Ravi Ramamurti, Marius D. Pruessner:
Data-Driven Approaches for Thrust Prediction in Underwater Flapping Fin Propulsion Systems. - Arash Ahmadi, Sarah Safura Sharif, Yaser Mike Banad:
A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Framework. - Ricardo B. Grando, Raul Steinmetz, Victor Augusto Kich, Alisson Henrique Kolling, Pablo M. Furik, Junior Costa de Jesus, Bruna de Vargas Guterres, Daniel Fernando Tello Gamarra, Rodrigo da Silva Guerra, Paulo L. J. Drews-Jr:
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning. - Dhiraj Bhattacharjee, Pablo G. Madoery, Aizaz U. Chaudhry, Halim Yanikomeroglu, Gunes Karabulut Kurt, Peng Hu, Khaled Ahmed, Stephane Martel:
On-Demand Routing in LEO Mega-Constellations with Dynamic Laser Inter-Satellite Links. - Yi-Ting Hsiao, Siavash Khodadadeh, Kevin Duarte, Wei-An Lin, Hui Qu, Mingi Kwon, Ratheesh Kalarot:
Plug-and-Play Diffusion Distillation. - Zhicheng Ding, Panfeng Li, Qikai Yang, Siyang Li:
Enhance Image-to-Image Generation with LLaVA Prompt and Negative Prompt. - Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. - Samuel M. Bateman, Ning Xu, H. Charles Zhao, Yael Ben Shalom, Vince Gong, Greg Long, Will Maddern:
Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models. - Priyanka Nanayakkara, Hyeok Kim, Yifan Wu, Ali Sarvghad, Narges Mahyar, Gerome Miklau, Jessica Hullman:
Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis. - Victoria Jackson, Bogdan Vasilescu, Daniel Russo, Paul Ralph, Maliheh Izadi, Rafael Prikladnicki, Sarah D'Angelo, Sarah Inman, Anielle Lisboa, André van der Hoek:
Creativity, Generative AI, and Software Development: A Research Agenda. - Yecheng Jason Ma, William Liang, Hung-Ju Wang, Sam Wang, Yuke Zhu, Linxi Fan, Osbert Bastani, Dinesh Jayaraman:
DrEureka: Language Model Guided Sim-To-Real Transfer. - Tianyu Wang, Dwait Bhatt, Xiaolong Wang, Nikolay Atanasov:
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment. - Jiancheng Xie, Lou C. Kohler Voinov, Noga Mudrik, Gal Mishne, Adam S. Charles:
Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training. - Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng:
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. - Avik Ghosh, Cristian Cortes-Aguirre, Yi-An Chen, Adil Khurram, Jan Kleissl:
Adaptive Relaxation based Non-Conservative Chance Constrained Stochastic MPC for Battery Scheduling Under Forecast Uncertainties. - Hao Fu, Tunhou Zhang, Hai Li, Yiran Chen:
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS. - Xiao Zhang, Miao Li, Ji Wu:
Conditional Language Learning with Context. - Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen:
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. - Yury Tokpanov, Beren Millidge, Paolo Glorioso, Jonathan Pilault, Adam Ibrahim, James Whittington, Quentin Anthony:
Zyda: A 1.3T Dataset for Open Language Modeling. - Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin:
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models. - Yunpeng Zhao, Cheng Chen, Qing You Pang, Quanzheng Li, Carol Tang, Beng-Ti Ang, Yueming Jin:
Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization. - Shixuan Fan, Wei Wei, Xiaofei Wen, Xianling Mao, Jixiong Chen, Dangyang Chen:
Personalized Topic Selection Model for Topic-Grounded Dialogue. - Jiazhang Wang, Oliver Cossairt, Florian Willomitzer:
3D Imaging of Complex Specular Surfaces by Fusing Polarimetric and Deflectometric Information. - Jangseop Park, Namwoo Kang:
Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction. - Josef Hoppe, Michael T. Schaub:
Random Abstract Cell Complexes. - Avi Deb Raha, Kitae Kim, Apurba Adhikary, Mrityunjoy Gain, Choong Seon Hong:
Advancing Ultra-Reliable 6G: Transformer and Semantic Localization Empowered Robust Beamforming in Millimeter-Wave Communications. - Jan Østergaard:
Higher-order Common Information. - Shixuan Fan, Wei Wei, Wendi Li, Xian-Ling Mao, Wenfeng Xie, Dangyang Chen:
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue. - Lun Wang, Om Thakkar, Zhong Meng, Nicole Rafidi, Rohit Prabhavalkar, Arun Narayanan:
Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping. - Silvia Lucia Sanna, Diego Soi, Davide Maiorca, Giorgio Fumera, Giorgio Giacinto:
A Risk Estimation Study of Native Code Vulnerabilities in Android Applications. - Jonathan Mandelbaum, Sisi Miao, Nils Albert Schwendemann, Holger Jäkel, Laurent Schmalen:
Improved Generalized Automorphism Belief Propagation Decoding. - Jiahang Cao, Qiang Zhang, Ziqing Wang, Jiaxu Wang, Hao Cheng, Yecheng Shao, Wen Zhao, Gang Han, Yijie Guo, Renjing Xu:
Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning. - Bart Cox, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen:
Parameterizing Federated Continual Learning for Reproducible Research. - Xiwei Cheng, Kexin Fu, Farzan Farnia:
On the Mode-Seeking Properties of Langevin Dynamics. - Manasi Sharma, Ho Chit Siu, Rohan Paleja, Jaime Daniel Peña:
Why Would You Suggest That? Human Trust in Language Model Responses. - Seokju Yun, Dongheon Lee, Youngmin Ro:
MetaMixer Is All You Need. - Zheng Yu, Ganxiang Yang, Xinyu Xing:
ShadowBound: Efficient Heap Memory Protection Through Advanced Metadata Management and Customized Compiler Optimization. - Guy Amir, Osher Maayan, Tom Zelazny, Guy Katz, Michael Schapira:
Verifying the Generalization of Deep Learning to Out-of-Distribution Domains. - Feng Wu, Lei Cui, Shaowen Yao, Shui Yu:
Inference Attacks: A Taxonomy, Survey, and Promising Directions. - Karsi Widiawati, Bertha Maya Sopha, Naly Rakoto:
Electric Vehicle Adoption Modeling in France: A Systematic Literature Review. - Junlin Lee, Yequan Wang, Jing Li, Min Zhang:
Multimodal Reasoning with Multimodal Knowledge Graph. - Takeshi Terao, Katsuhisa Ozaki:
Method for Verifying Solutions of Sparse Linear Systems with General Coefficients. - Soha Hussein, Stephen McCamant, Mike Whalen:
Generator-Based Fuzzers with Type-Based Targeted Mutation. - Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Ávila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana Borsa, Arthur Guez, Will Dabney:
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning. - Jinmiao Zhao, Zelin Shi, Chuang Yu, Yunpeng Liu:
Multi-Scale Direction-Aware Network for Infrared Small Target Detection. - Jiankai Li, Yunhong Wang, Xiefan Guo, Ruijie Yang, Weixin Li:
Leveraging Predicate and Triplet Learning for Scene Graph Generation. - Jiapin Wang, Xiangping Zhang, Chenlei Tang, Xiang Chen, Tao Lu:
LMB: Augmenting PCIe Devices with CXL-Linked Memory Buffer. - Gongpei Zhao, Tao Wang, Congyan Lang, Yi Jin, Yidong Li, Haibin Ling:
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment. - Hussein Jawad, Nicolas J.-B. Brunel:
QROA: A Black-Box Query-Response Optimization Attack on LLMs. - Simon Fernandez, Olivier Hureau, Andrzej Duda, Maciej Korczynski:
WHOIS Right? An Analysis of WHOIS and RDAP Consistency. - Calin Vaida, Bogdan Gherman, Iosif Birlescu, Paul Tucan, Alexandru Pusca, Gabriela Rus, Damien Chablat, Doina Pisla:
Kinematic analysis of a parallel robot for minimally invasive surgery. - Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang:
Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders. - Hitomi Yanaka, Namgi Han, Ryoma Kumon, Jie Lu, Masashi Takeshita, Ryo Sekizawa, Taisei Kato, Hiromi Arai:
Analyzing Social Biases in Japanese Large Language Models. - Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon:
PETRA: Parallel End-to-end Training with Reversible Architectures. - Jiashuo Hu, Xiao-Ping Zhang, Youwei Jia:
Stochastic Carbon Footprint Tracing Methods in Power Systems. - Han Ji, Yuqi Feng, Yanan Sun:
CAP: A Context-Aware Neural Predictor for NAS. - Francisco Robledo Relaño, Vivek S. Borkar, Urtzi Ayesta, Konstantin Avrachenkov:
Tabular and Deep Learning for the Whittle Index. - Yanmin Wu, Jiarui Meng, Haijie Li, Chenming Wu, Yahao Shi, Xinhua Cheng, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Jian Zhang:
OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding. - Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu:
Graph Adversarial Diffusion Convolution. - Valeriya Goloviznina, Evgeny V. Kotelnikov:
I've got the "Answer"! Interpretation of LLMs Hidden States in Question Answering. - Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, Jenia Jitsev:
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models. - Daniel Mejías, Zaloa Fernández, Roberto Viola, Ander Aramburu, Igor Lopez, Andoni Diaz:
Towards Railways Remote Driving: Analysis of Video Streaming Latency and Adaptive Rate Control. - Carole Adam, Benoit Gaudou:
An agent-based model of modal choice with perception biases and habits. - Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu:
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. - Yang Liu, Ruihu Li:
On the largest minimum distances of [n, 6] LCD codes. - Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu:
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models. - Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao:
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. - Andrii Mironchenko, Christophe Prieur:
Input-to-state stability of infinite-dimensional systems: Foundations and present-day developments. - Yinglong Li, Hongyu Wu, Xiaogang Wang, Qingzhao Qin, Yijiao Zhao, Yong Wang, Aimin Hao:
FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance. - Qi Qiu, Tao Zhu, Helin Gong, Liming Chen, Huansheng Ning:
ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU. - André Artelt, Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, Barbara Hammer, Marios M. Polycarpou:
A Toolbox for Supporting Research on AI in Water Distribution Networks. - Yida Cai, Hao Sun, Hsiu-Yuan Huang, Yunfang Wu:
Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks. - Shida Wang:
LongSSM: On the Length Extension of State-space Models in Language Modelling. - Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin:
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning. - Giuseppe Natale:
On the Computation of 2-Dimensional Recurrence Equations. - Daniel Gaina:
Foundations of logic programming in hybrid-dynamic quantum logic. - Afzal Ahmad, Linfeng Du, Wei Zhang:
Fast and Practical Strassen's Matrix Multiplication using FPGAs. - Ali Akbar Septiandri, Marios Constantinides, Daniele Quercia:
WEIRD ICWSM: How Western, Educated, Industrialized, Rich, and Democratic is Social Computing Research? - Xu Li, Qirui Wang, Xiaoyu Liu:
MaskSR: Masked Language Model for Full-band Speech Restoration. - Guillermo Badia, Daniel Gaina, Alexander Knapp, Tomasz Kowalski, Martin Wirsing:
Hybrid-Dynamic Ehrenfeucht-Fraïssé Games. - Xiangcheng Hu, Jin Wu, Jianhao Jiao, Wei Zhang, Ping Tan:
MS-Mapping: Multi-session LiDAR Mapping with Wasserstein-based Keyframe Selection. - Haolong Li, Yu Ma, Yinqi Zhang, Chen Ye, Jie Chen:
Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data. - Nir Greshler, David Ben-Eli, Carmel Rabinovitz, Gabi Guetta, Liran Gispan, Guy Zohar, Aviv Tamar:
A Bayesian Approach to Online Planning. - Vignesh Kothapalli, Tom Tirer:
Kernel vs. Kernel: Exploring How the Data Structure Affects Neural Collapse. - Weiqi Wang, Yangqiu Song:
MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset. - Zhuoyang Li, Liran Deng, Hui Liu, Qiaoqiao Liu, Junzhao Du:
UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models. - Chao Bian, Shengjie Ren, Miqing Li, Chao Qian:
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. - Wenlong Zhang, Zhiwen Zhang:
A novel model reduction method to solve inverse problems of parabolic type. - Jinliang Lu, Chen Wang, Jiajun Zhang:
Diver: Large Language Model Decoding with Span-Level Mutual Information Verification. - Zhonghan Wang:
clauseSMT: A NLSAT-Based Clause-Level Framework for Satisfiability Modulo Nonlinear Real Arithmetic Theory. - Hao Chen, Hongrun Zhang, U. Wang Chan, Rui Yin, Xiaofei Wang, Chao Li:
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation. - Jinwei Zeng, Chao Yu, Xinyi Yang, Wenxuan Ao, Jian Yuan, Yong Li, Yu Wang, Huazhong Yang:
CityLight: A Universal Model Towards Real-world City-scale Traffic Signal Control Coordination. - Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, François Charton, Julia Kempe:
Iteration Head: A Mechanistic Study of Chain-of-Thought. - Jianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong:
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting. - Danqing Hu, Shanyuan Zhang, Qing Liu, Xiaofeng Zhu, Bing Liu:
The current status of large language models in summarizing radiology report impressions. - Ben Chen, Huangyu Dai, Xiang Ma, Wen Jiang, Wei Ning:
Robust Interaction-based Relevance Modeling for Online E-Commerce and LLM-based Retrieval. - Yuquan Xiao, Qinghe Du, George K. Karagiannidis:
Statistical Age of Information: A Risk-Aware Metric and Its Applications in Status Updates. - Jingcheng Liu, Jalaj Upadhyay, Zongrui Zou:
Optimality of Matrix Mechanism on ℓpp-metric. - Erdi Saritas, Hazim Kemal Ekenel:
Analyzing the Effect of Combined Degradations on Face Recognition. - Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang:
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. - Maximilian Toller, Hussain Hussain, Bernhard C. Geiger:
Activation Bottleneck: Sigmoidal Neural Networks Cannot Forecast a Straight Line. - Lijun Zhou, Tao Tang, Pengkun Hao, Zihang He, Kalok Ho, Shuo Gu, Wenbo Hou, Zhihui Hao, Haiyang Sun, Kun Zhan, Peng Jia, Xianpeng Lang, Xiaodan Liang:
UA-Track: Uncertainty-Aware End-to-End 3D Multi-Object Tracking. - Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang:
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models. - Erdi Saritas, Hazim Kemal Ekenel:
Analyzing the Feature Extractor Networks for Face Image Synthesis. - Jingcheng Liu, Jalaj Upadhyay, Zongrui Zou:
Almost linear time differentially private release of synthetic graphs. - Mariia Pushkareva, Yuri Feldman, Csaba Domokos, Kilian Rambach, Dotan Di Castro:
Radar Spectra-Language Model for Automotive Scene Parsing. - Chuan Huang, Gustaf Hendeby, Isaac Skog:
An Observability-Constrained Magnetic-Field-Aided Inertial Navigation System. - Furkan Durmus, Hasan Saribas, Said Aldemir, Junyan Yang, Hakan Cevikalp:
Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems. - Yuqing Guo, Xufeng Guo, Yuanbin Chen, Ying Wang:
Sparse Recovery for Holographic MIMO Channels: Leveraging the Clustered Sparsity. - Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak:
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. - Saierdaer Yusuyin, Te Ma, Hao Huang, Wenbo Zhao, Zhijian Ou:
Whistle: Data-Efficient Multilingual and Crosslingual Speech Recognition via Weakly Phonetic Supervision. - Saminu Mohammad Aliyu, Gregory Maksha Wajiga, Muhammad Murtala:
A multilingual dataset for offensive language and hate speech detection for hausa, yoruba and igbo languages. - Ignacio Santamaría, Mohammad Soleymani, Eduard A. Jorswieck, Jesús Gutiérrez:
MIMO Capacity Maximization with Beyond-Diagonal RIS. - Hamidreza Raei, Juan M. Gandarias, Elena De Momi, Pietro Balatti, Arash Ajoudani:
A Multipurpose Interface for Close- and Far-Proximity Control of Mobile Collaborative Robots. - Krzysztof Gogol, Johnnatan Messias, Deborah Miori, Claudio J. Tessone, Benjamin Livshits:
Layer-2 Arbitrage: An Empirical Analysis of Swap Dynamics and Price Disparities on Rollups. - Edoardo Centofanti, Massimiliano Ghiotto, Luca F. Pavarino:
Learning the Hodgkin-Huxley Model with Operator Learning Techniques. - Matthew Danish, Dominic Orchard, Andrew Rice:
Incremental units-of-measure verification. - Ayman Chaouki, Jesse Read, Albert Bifet:
Branches: A Fast Dynamic Programming and Branch & Bound Algorithm for Optimal Decision Trees. - Louis Serrano, Thomas X. Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari:
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields. - Tim D'Hondt, Mykola Pechenizkiy, Robert Peharz:
One-Shot Federated Learning with Bayesian Pseudocoresets. - Sarthak Yadav, Zheng-Hua Tan:
Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations. - Hedda Cohen Indelman, Tamir Hazan:
On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions. - Christophe Charlier, Daniel Eriksson, Jonatan Lenells:
Numerical scheme for the solution of the "bad" Boussinesq equation. - Sanhita Pathak, Vinay Kaushik, Brejesh Lall:
GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryon. - Yunshan Yang, Lin Dai:
Achieving Stability for Aloha Networks with Multiple Receivers. - Yara Shamshoum, Nitzan Hodos, Yuval Sieradzki, Assaf Schuster:
DNCs Require More Planning Steps. - Cencheng Shen:
Fast and Scalable Multi-Kernel Encoder Classifier. - Yuquan Xiao, Qinghe Du, Wenchi Cheng, Panagiotis D. Diamantoulakis, George K. Karagiannidis:
Age of Trust (AoT): A Continuous Verification Framework for Wireless Networks. - Loai Danial, Kanishka Sharma, Shahar Kvatinsky:
A Pipelined Memristive Neural Network Analog-to-Digital Converter. - Gaetano Tavolo, Pietro Stano, Davide Tavernini, Umberto Montanaro, Manuela Tufo, Giovanni Fiengo, Pietro Perlo, Aldo Sorniotti:
Nonlinear Model Predictive Control for Enhanced Path Tracking and Autonomous Drifting through Direct Yaw Moment Control and Rear-Wheel-Steering. - Cristian Sbrolli, Matteo Matteucci:
Can CLIP help CLIP in learning 3D? - Nicolas Gillis, Stefano Sicilia:
Minimum-norm solutions of the non-symmetric semidefinite Procrustes problem. - Nikolaj Takata Mücke, Sander M. Bohté, Cornelis W. Oosterlee:
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification. - Kai Sun, Jiapu Wang, Huajie Jiang, Yongli Hu, Baocai Yin:
Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion. - Gaetano Tavolo, Kai Man So, Davide Tavernini, Pietro Perlo, Aldo Sorniotti:
Nonlinear Model Predictive Control for Preview-Based Traction Control. - Haodong Hong, Sen Wang, Zi Huang, Qi Wu, Jiajun Liu:
Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts. - Silvia Gazzola, Ali Gholami:
Automatic nonstationary anisotropic Tikhonov regularization through bilevel optimization. - Pablo Malvido Fresnillo, Saigopal Vasudevan, José A. Pérez García, Jose L. Martinez Lastra:
An Open and Reconfigurable User Interface to Manage Complex ROS-based Robotic Systems. - Kai Man So, Gaetano Tavolo, Davide Tavernini, Marco Grosso, Sergio Pozzato, Pietro Perlo, Aldo Sorniotti:
Novel pre-emptive control solutions for V2X connected electric vehicles. - Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, Shutao Xia:
Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting. - Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan:
Rectifying Reinforcement Learning for Reward Matching. - Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra:
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining. - Costantino Carugno, Jake Muff, Mikael P. Johansson, Sven Karlsson, Alberto Lanzanova:
NordIQuEst: the Nordic-Estonian Quantum Computing e-Infrastructure Quest. - Ran Wei, Ruizhe Yang, Shijun Liu, Chongsheng Fan, Rong Zhou, Zekun Wu, Haochi Wang, Yifan Cai, Zhe Jiang:
Towards an Extensible Model-Based Digital Twin Framework for Space Launch Vehicles. - Sanglee Park, Seung-won Hwang, Jungmin So:
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition. - Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang:
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. - Xiefan Guo, Jinlin Liu, Miaomiao Cui, Di Huang:
I4VGen: Image as Stepping Stone for Text-to-Video Generation. - Charlie Tan, Inés García-Redondo, Qiquan Wang, Michael M. Bronstein, Anthea Monod:
On the Limitations of Fractal Dimension as a Measure of Generalization. - Tuan Dam, Odalric-Ambrym Maillard, Emilie Kaufmann:
Power Mean Estimation in Stochastic Monte-Carlo Tree_Search. - Donglei Yu, Xiaomian Kang, Yuchen Liu, Yu Zhou, Chengqing Zong:
Self-Modifying State Modeling for Simultaneous Machine Translation. - Matan Levi, Jonathan Mosheiff, Nikhil Shagrithaya:
Local Properties of Reed-Solomon Codes and Random Linear Codes. - Zhibin Lin, Taotao Wang, Long Shi, Shengli Zhang, Bin Cao:
Decentralized Physical Infrastructure Network (DePIN): Challenges and Opportunities. - Wei Zhao, Tangjie Weng, Yue Ruan, Zhi Liu, Xuangou Wu, Xiao Zheng, Nei Kato:
Quantum Computing in Wireless Communications and Networking: A Tutorial-cum-Survey. - Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam:
Description Boosting for Zero-Shot Entity and Relation Classification. - Lukas Christ, Shahin Amiriparian, Manuel Milling, Ilhan Aslan, Björn W. Schuller:
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning. - Jinghan Sun, Zibo Gong, Anup Agarwal, Shadi A. Noghabi, Ranveer Chandra, Marc Snir, Jian Huang:
Exploring the Efficiency of Renewable Energy-based Modular Data Centers at Scale. - Jing Wen:
PuFace: Defending against Facial Cloaking Attacks for Facial Recognition Models. - Nadav Merlis:
Reinforcement Learning with Lookahead Information. - Chengjie Wang, Haokun Zhu, Jinlong Peng, Yue Wang, Ran Yi, Yunsheng Wu, Lizhuang Ma, Jiangning Zhang:
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising. - Juan M. Vargas, Taous-Meriem Laleg-Kirati:
Image contrast enhancement based on the Schrödinger operator spectrum. - Wenyan Li, Jiaang Li, Rita Ramos, Raphael Tang, Desmond Elliott:
Understanding Retrieval Robustness for Retrieval-Augmented Image Captioning. - Chuankai Xu, Dongming Zhao, Bo Wang, Hanwen Xing:
Enhancing Retrieval-Augmented LMs with a Two-stage Consistency Learning Compressor. - Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck:
Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation. - Liyi Zhang, Logan Nelson, Thomas L. Griffiths:
Analyzing the Benefits of Prototypes for Semi-Supervised Category Learning. - Wenhan Cao, Alexandre Capone, Rishabh Yadav, Sandra Hirche, Wei Pan:
Computation-Aware Learning for Stable Control with Gaussian Process. - Joshua R. Loftus:
Position: The Causal Revolution Needs Scientific Pragmatism. - Mirco Mutti, Aviv Tamar:
Test-Time Regret Minimization in Meta Reinforcement Learning. - Yitong Li, Ruihai Wu, Haoran Lu, Chuanruo Ning, Yan Shen, Guanqi Zhan, Hao Dong:
Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters. - Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Optimised ProPainter for Video Diminished Reality Inpainting. - Arjun Singh, Nikhil Pandey, Anup Shirgaonkar, Pavan Manoj, Vijay Aski:
A Study of Optimizations for Fine-tuning Large Language Models. - Jiantao Xin, Wei Xu, Bin Cao, Taotao Wang, Shengli Zhang:
A deep-learning-based MAC for integrating channel access, rate adaptation and channel switch. - Armando J. Cabrera Pacheco, Rabanus Derr, Robert C. Williamson:
An Axiomatic Approach to Loss Aggregation and an Adapted Aggregating Algorithm. - Arthur Müller, Felix Grumbach, Matthia Sabatelli:
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling. - Riccardo Zamboni, Duilio Cirino, Marcello Restelli, Mirco Mutti:
How to Explore with Belief: State Entropy Maximization in POMDPs. - Daniel Dodd, Louis Sharrock, Christopher Nemeth:
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds. - Huiyuan Lai, Malvina Nissim:
mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models. - Reza Farahani, Zoha Azimi Ourimi, Christian Timmerer, Radu Prodan:
Towards AI-Assisted Sustainable Adaptive Video Streaming Systems: Tutorial and Survey. - Elisa Tonello, Loïc Paulevé:
Phenotype control and elimination of variables in Boolean networks. - Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li:
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing. - Ruijing Cui, Jianbin Sun, Bingyu He, Kewei Yang, Bingfeng Ge:
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation. - Qimeng Li, Fabrizio Mangione, Francesco Porreca, Raffaele Gravina, Giancarlo Fortino:
Development and Validation of a Proximity-based Wearable Computing Testbed for Community-oriented Wearable Systems. - Robert R. Hughes, James Treisman, Alexis Hernandez Arroyo, Anthony J. Mulholland:
Multimodal Resonance in Strongly Coupled Inductor Arrays. - Jean-Marie Lemercier, Simon Rouard, Jade Copet, Yossi Adi, Alexandre Défossez:
An Independence-promoting Loss for Music Generation with Language Models. - Margarita Capretto, Martín Ceresa, Antonio Fernández Anta, Pedro Moreno-Sanchez, César Sánchez:
Fast and Secure Decentralized Optimistic Rollups Using Setchain. - Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen, Viet Anh Nguyen:
Generative Conditional Distributions by Neural (Entropic) Optimal Transport. - Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang:
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. - Alexander Sommers, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold:
A Survey of Transformer Enabled Time Series Synthesis. - Felipe A. Rodriguez Y.:
Technical Language Processing for Telecommunications Specifications. - Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Continual Unsupervised Out-of-Distribution Detection. - Dongchao Yang, Dingdong Wang, Haohan Guo, Xueyuan Chen, Xixin Wu, Helen Meng:
SimpleSpeech: Towards Simple and Efficient Text-to-Speech with Scalar Latent Transformer Diffusion Models. - Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell:
On Affine Homotopy between Language Encoders. - ChaeHun Park, Koanho Lee, Hyesu Lim, Jaeseok Kim, Junmo Park, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo:
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering. - Phoebe Klett, Thomas Ahle:
Extended Mind Transformers. - Adam Orucu, Farnaz Moradi, Masoumeh Ebrahimi, Andreas Johnsson:
Towards Neural Architecture Search for Transfer Learning in 6G Networks. - Anisia Katinskaia, Roman Yangarber:
Probing the Category of Verbal Aspect in Transformer Language Models. - Madison Cooley, Shandian Zhe, Robert M. Kirby, Varun Shankar:
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation. - Michele Mastromattei, Fabio Massimo Zanzotto:
Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection. - Wendi Löffler, Mats Bengtsson:
Train Localization During GNSS Outages: A Minimalist Approach Using Track Geometry And IMU Sensor Data. - Jifei Luo, Hantao Yao, Changsheng Xu:
Cluster-Aware Similarity Diffusion for Instance Retrieval. - Kathrin Donandt, Dirk Söffker:
Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach. - Yuxuan Wang, Feng Dong, Jinchao Zhu:
Progressive Confident Masking Attention Network for Audio-Visual Segmentation. - Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin:
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation. - Peiyu Liang, Hongchang Gao, Xubin He:
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation. - Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang:
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network. - Maojun Sun:
LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing. - Jixiang Qing, Becky D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener:
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization. - Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier:
Label-wise Aleatoric and Epistemic Uncertainty Quantification. - Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun:
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. - Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo:
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks. - Binghui Peng, Aviad Rubinstein:
The complexity of approximate (coarse) correlated equilibrium for incomplete information games. - Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Using Self-supervised Learning Can Improve Model Fairness. - Katarina Petrovic, Shenyang Huang, Farimah Poursafaei, Petar Velickovic:
Temporal Graph Rewiring with Expander Graphs. - Frederike Dümbgen, Connor Holmes, Timothy D. Barfoot:
Exploiting Chordal Sparsity for Fast Global Optimality with Application to Localization. - Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch:
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models. - Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang:
Large Language Models Make Sample-Efficient Recommender Systems. - Jiaxu Wang, Ziyi Zhang, Qiang Zhang, Jia Li, Jingkai Sun, Mingyuan Sun, Junhao He, Renjing Xu:
Query-based Semantic Gaussian Field for Scene Representation in Reinforcement Learning. - Zhiwei Cao, Qian Cao, Yu Lu, Ningxin Peng, Luyang Huang, Shanbo Cheng, Jinsong Su:
Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs. - Qiyao Ma, Xubin Ren, Chao Huang:
XRec: Large Language Models for Explainable Recommendation. - Guangliang Liu, Haitao Mao, Bochuan Cao, Zhiyu Xue, Kristen Marie Johnson, Jiliang Tang, Rongrong Wang:
On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept. - Francesc Net, Marc Folia, Pep Casals, Andrew D. Bagdanov, Lluís Gómez:
EUFCC-340K: A Faceted Hierarchical Dataset for Metadata Annotation in GLAM Collections. - R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie:
Learning to Edit Visual Programs with Self-Supervision. - Xinyang Pu, Feng Xu:
Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images. - Maxime Griot, Jean Vanderdonckt, Demet Yüksel, Coralie Hemptinne:
Multiple Choice Questions and Large Languages Models: A Case Study with Fictional Medical Data. - Yicheng Xiao, Lin Song, Shaoli Huang, Jiangshan Wang, Siyu Song, Yixiao Ge, Xiu Li, Ying Shan:
GrootVL: Tree Topology is All You Need in State Space Model. - Kenneth C. Enevoldsen, Márton Kardos, Niklas Muennighoff, Kristoffer Laigaard Nielbo:
The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding. - Jaekwon Lee, Enrico Viganò, Fabrizio Pastore, Lionel C. Briand:
MOTIF: A tool for Mutation Testing with Fuzzing. - Ioannis Caragiannis, Evi Micha, Jannik Peters:
Can a Few Decide for Many? The Metric Distortion of Sortition. - Yuze Wang, Junyi Wang, Yue Qi:
WE-GS: An In-the-wild Efficient 3D Gaussian Representation for Unconstrained Photo Collections. - Dominik Werner Wolf, Prasannavenkatesh Balaji, Alexander Braun, Markus Ulrich:
Decoupling of neural network calibration measures. - Deekshitha, Siamak Farshidi, Jason Maassen, Rena Bakhshi, Rob van Nieuwpoort, Slinger Jansen:
FAIRSECO: An Extensible Framework for Impact Measurement of Research Software. - Jonathan Scott, Áine Cahill:
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials. - Christoph Koutschan, Anton Ponomarchuk, Josef Schicho:
Representing Piecewise-Linear Functions by Functions with Minimal Arity. - Zifeng Zhao, Feiyu Jiang, Yi Yu:
Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints. - Changhao Li, Xinyu Sun, Peihao Chen, Jugang Fan, Zixu Wang, Yanxia Liu, Jin-Hui Zhu, Chuang Gan, Mingkui Tan:
CoNav: A Benchmark for Human-Centered Collaborative Navigation. - Depeng Li, Tianqi Wang, Junwei Chen, Wei Dai, Zhigang Zeng:
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning. - David P. Woodruff, Taisuke Yasuda:
Reweighted Solutions for Weighted Low Rank Approximation. - David P. Woodruff, Taisuke Yasuda:
Coresets for Multiple ℓp Regression. - Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen:
Generative Active Learning for Long-tailed Instance Segmentation. - Polo Contreras, Ola Shorinwa, Mac Schwager:
Out-of-Distribution Runtime Adaptation with Conformalized Neural Network Ensembles. - Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Mattia Verasani, Simone Calderara:
Reducing Bias in Federated Class-Incremental Learning with Hierarchical Generative Prototypes. - Henry Conklin, Kenny Smith:
Representations as Language: An Information-Theoretic Framework for Interpretability. - Md Mirajul Islam, Xi Yang, John Wesley Hostetter, Adittya Soukarjya Saha, Min Chi:
A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies. - Filippo Valdettaro, A. Aldo Faisal:
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs. - Chaoyan Huang, Zhongming Wu, Yanqi Cheng, Tieyong Zeng, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems. - Qi Wang, Ruijie Lu, Xudong Xu, Jingbo Wang, Michael Yu Wang, Bo Dai, Gang Zeng, Dan Xu:
RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting. - Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler:
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems. - Yingtai Xiao, Jian Du, Shikun Zhang, Qiang Yan, Danfeng Zhang, Daniel Kifer:
Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy. - Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel:
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. - Scott C. Lowe, Joakim Bruslund Haurum, Sageev Oore, Thomas B. Moeslund, Graham W. Taylor:
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders. - Chi-Jui Chang, Oscar Tai-Yuan Chen, Vincent S. Tseng:
DL-KDD: Dual-Light Knowledge Distillation for Action Recognition in the Dark. - Stefani Karp, Nikunj Saunshi, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar:
Landscape-Aware Growing: The Power of a Little LAG. - Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. - Yi Hu, Hyeonjin Kim, Kai Ye, Ning Lu:
Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis. - Jakub Hoscilowicz, Pawel Popiolek, Jan Rudkowski, Jedrzej Bieniasz, Artur Janicki:
Hiding Text in Large Language Models: Introducing Unconditional Token Forcing Confusion. - Jiajun Wang, Morteza Ghahremani, Yitong Li, Björn Ommer, Christian Wachinger:
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation. - Remi Genet, Hugo Inzirillo:
A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting. - Miguel Setúbal, Tayana Conte, Marcos Kalinowski, Allysson Allex Araújo:
Investigating the Online Recruitment and Selection Journey of Novice Software Engineers: Anti-patterns and Recommendations. - Evgenii Egorov, Riccardo Valperga, Efstratios Gavves:
Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps. - Rui Peng, Xiaodong Gu, Luyang Tang, Shihe Shen, Fanqi Yu, Ronggang Wang:
GenS: Generalizable Neural Surface Reconstruction from Multi-View Images. - Kunpeng Xu, Lifei Chen, Shengrui Wang:
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability. - Spyridon Syntakas, Kostas Vlachos:
Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics. - Shwai He, Daize Dong, Liang Ding, Ang Li:
Demystifying the Compression of Mixture-of-Experts Through a Unified Framework. - Dibyendu Adak, Mustafa Engin Danis, Duc P. Truong, Kim Ø. Rasmussen, Boian S. Alexandrov:
Tensor Network Space-Time Spectral Collocation Method for Solving the Nonlinear Convection Diffusion Equation. - Olivier Dietrich, Torben Peters, Vivien Sainte Fare Garnot, Valerie Sticher, Thao Ton-That Whelan, Konrad Schindler, Jan Dirk Wegner:
An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series. - Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine:
Guiding a Diffusion Model with a Bad Version of Itself. - Dejia Xu, Weili Nie, Chao Liu, Sifei Liu, Jan Kautz, Zhangyang Wang, Arash Vahdat:
CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation. - Mirza Farhan Bin Tarek, Raphael Poulain, Rahmatollah Beheshti:
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks. - Cong Wang, Kuan Tian, Jun Zhang, Yonghang Guan, Feng Luo, Fei Shen, Zhiwei Jiang, Qing Gu, Xiao Han, Wei Yang:
V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation. - Hongbo Guo, Zheqing Zhu:
Uncertainty of Joint Neural Contextual Bandit. - Jiashu Yao, Heyan Huang, Zeming Liu, Yuhang Guo:
Deterministic Reversible Data Augmentation for Neural Machine Translation. - Zhongpai Gao, Benjamin Planche, Meng Zheng, Xiao Chen, Terrence Chen, Ziyan Wu:
DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering. - Sarah Tabassum, Cori Faklaris:
Digital Privacy for Migrants: Exploring Current Research Trends and Future Prospects. - Soroush Nasiriany, Abhiram Maddukuri, Lance Zhang, Adeet Parikh, Aaron Lo, Abhishek Joshi, Ajay Mandlekar, Yuke Zhu:
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots. - Maciej Besta, Lorenzo Paleari, Ales Kubicek, Piotr Nyczyk, Robert Gerstenberger, Patrick Iff, Tomasz Lehmann, Hubert Niewiadomski, Torsten Hoefler:
CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks. - Rui-Jie Zhu, Yu Zhang, Ethan Sifferman, Tyler Sheaves, Yiqiao Wang, Dustin Richmond, Peng Zhou, Jason K. Eshraghian:
Scalable MatMul-free Language Modeling. - Ruslan Svirschevski, Avner May, Zhuoming Chen, Beidi Chen, Zhihao Jia, Max Ryabinin:
SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices. - Van Minh Nguyen, Emma Sandidge, Trupti Mahendrakar, Ryan T. White:
SatSplatYOLO: 3D Gaussian Splatting-based Virtual Object Detection Ensembles for Satellite Feature Recognition. - Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan:
Enhancing 2D Representation Learning with a 3D Prior. - Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu:
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension. - Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulic:
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners. - Hai-Long Sun, Da-Wei Zhou, Yang Li, Shiyin Lu, Chao Yi, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye:
Parrot: Multilingual Visual Instruction Tuning. - Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. - Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting. - Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele:
Loki: Low-Rank Keys for Efficient Sparse Attention. - Yasin Abbasi-Yadkori, Ilja Kuzborskij, András György, Csaba Szepesvári:
To Believe or Not to Believe Your LLM. - Luca Ambrogioni, Louis Rouillard, Demian Wassermann:
Robust and highly scalable estimation of directional couplings from time-shifted signals. - Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou:
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning. - Mohamed El Amine Boudjoghra, Angela Dai, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation. - Nithin Gopalakrishnan Nair, Vishal M. Patel:
Dreamguider: Improved Training free Diffusion-based Conditional Generation. - Tianyu He, Darshil Doshi, Aritra Das, Andrey Gromov:
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks. - Markus Plack, Hannah Dröge, Leif Van Holland, Matthias B. Hullin:
VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors. - Wei Dong, Han Zhou, Yuqiong Tian, Jingke Sun, Xiaohong Liu, Guangtao Zhai, Jun Chen:
ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer. - Robert Sajina, Ivo Ipsic:
Sequence-to-sequence models in peer-to-peer learning: A practical application. - Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael B. Abu-Ghazaleh, M. Salman Asif, Yue Dong, Amit K. Roy-Chowdhury, Chengyu Song:
Cross-Modal Safety Alignment: Is textual unlearning all you need? - Suraj Anand, David Getzen:
Are PPO-ed Language Models Hackable? - Xinhua Wu, Haoyu He, Yanchao Wang, Qi Wang:
Pretrained Mobility Transformer: A Foundation Model for Human Mobility. - Louis Ledoux, Marc Casas:
An Open-Source Framework for Efficient Numerically-Tailored Computations. - Shuhong Liu, Nozomi Akashi, Qingyao Huang, Yasuo Kuniyoshi, Kohei Nakajima:
Exploiting Chaotic Dynamics as Deep Neural Networks. - Grant Norman, Jacqueline Wentz, Hemanth Kolla, Kurt Maute, Alireza Doostan:
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data. - Yinan Wang, M. Giselle Fernández-Godino, Nipun Gunawardena, Donald D. Lucas, Xiaowei Yue:
Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning. - Seyd Teymoor Seydi:
Exploring the Potential of Polynomial Basis Functions in Kolmogorov-Arnold Networks: A Comparative Study of Different Groups of Polynomials. - Kazuki Sakamoto, Connor T. Jerzak, Adel Daoud:
Planetary Causal Inference: Implications for the Geography of Poverty. - Siavash Golkar, Alberto Bietti, Mariel Pettee, Michael Eickenberg, Miles D. Cranmer, Keiya Hirashima, Géraud Krawezik, Nicholas Lourie, Michael McCabe, Rudy Morel, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Shirley Ho:
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task. - Kiri Daust, Adam Monahan:
Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling. - Ivan Dubrovsky, Andrei Dmitrenko, Aleksei Dmitrenko, Nikita Serov, Vladimir Vinogradov:
Unveiling the Potential of AI for Nanomaterial Morphology Prediction. - Jay Desai, Xiaobo Guo, Srinivasan H. Sengamedu:
LOLAMEME: Logic, Language, Memory, Mechanistic Framework. - Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. - Hojoon Lee, Hyeonseo Cho, Hyunseung Kim, Donghu Kim, Dugki Min, Jaegul Choo, Clare Lyle:
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks. - Karn Tiwari, N. M. Anoop Krishnan, Prathosh A P:
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems. - Vedant Khandelwal, Amit P. Sheth, Forest Agostinelli:
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems. - Zhongteng Cai, Xueru Zhang, Mohammad Mahdi Khalili:
Privacy-Aware Randomized Quantization via Linear Programming. - Mohammed Djameleddine Belgoumri, Mohamed Reda Bouadjenek, Sunil Aryal, Hakim Hacid:
Data Quality in Edge Machine Learning: A State-of-the-Art Survey. - David Restrepo, Chenwei Wu, Sebastián Andrés Cajas, Luis Filipe Nakayama, Leo Anthony Celi, Diego M. López:
Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications. - Weiguo Chen, Changjian Wang, Kele Xu, Yuan Yuan, Yanru Bai, Dongsong Zhang:
D-FaST: Cognitive Signal Decoding with Disentangled Frequency-Spatial-Temporal Attention. - Yihan Wu, Ruibo Chen, Zhengmian Hu, Yanshuo Chen, Junfeng Guo, Hongyang Zhang, Heng Huang:
Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions. - Bivas Dinda:
Gated recurrent neural network with TPE Bayesian optimization for enhancing stock index prediction accuracy. - Jingjing Zheng, Xin Yuan, Kai Li, Wei Ni, Eduardo Tovar, Jon Crowcroft:
A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder. - Joshua Collyer, Tim Watson, Iain Phillips:
Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets. - Jiayao Tan, Fan Lyu, Chenggong Ni, Tingliang Feng, Fuyuan Hu, Zhang Zhang, Shaochuang Zhao, Liang Wang:
Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation. - Zikun Ye, Hema Yoganarasimhan, Yufeng Zheng:
LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments. - Ou Wu, Weiyao Zhu, Mengyang Li:
Is Data Valuation Learnable and Interpretable? - Adel Nabli, Louis Fournier, Pierre Erbacher, Louis Serrano, Eugene Belilovsky, Edouard Oyallon:
ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training. - Zhanyu Liu, Jianrong Ding, Guanjie Zheng:
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting. - Victor Matray, Faisal Amlani, Frédéric Feyel, David Néron:
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems. - Yuxuan Chen, Rongpeng Li, Xiaoxue Yu, Zhifeng Zhao, Honggang Zhang:
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach. - Andis Draguns, Andrew Gritsevskiy, Sumeet Ramesh Motwani, Charlie Rogers-Smith, Jeffrey Ladish, Christian Schröder de Witt:
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits. - Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang:
Safeguarding Large Language Models: A Survey. - Ziyi Guo, Dang K. Le, Zhenpeng Lin, Kyle Zeng, Ruoyu Wang, Tiffany Bao, Yan Shoshitaishvili, Adam Doupé, Xinyu Xing:
Take a Step Further: Understanding Page Spray in Linux Kernel Exploitation. - Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso:
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. - Shijin Duan, Chenghong Wang, Hongwu Peng, Yukui Luo, Wujie Wen, Caiwen Ding, Xiaolin Xu:
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud. - Zehang Deng, Yongjian Guo, Changzhou Han, Wanlun Ma, Junwu Xiong, Sheng Wen, Yang Xiang:
AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways. - Hengyue Liu, Kyle Min, Hector A. Valdez, Subarna Tripathi:
Contrastive Language Video Time Pre-training. - Fernando Martinez, Mariyam Mapkar, Ali Alfatemi, Mohamed Rahouti, Yufeng Xin, Kaiqi Xiong, Nasir Ghani:
Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach. - Noah Golowich, Ankur Moitra:
Edit Distance Robust Watermarks for Language Models. - Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen:
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. - Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa:
Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning. - Yuda Wang, Xuxin He, Shengxin Zhu:
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation. - Zhou Yang, Zhaochun Ren, Chenglong Ye, Yufeng Wang, Haizhou Sun, Chao Chen, Xiaofei Zhu, Yunbing Wu, Xiangwen Liao:
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory. - Dung Nguyen, Anil Vullikanti:
Differentially private exact recovery for stochastic block models. - Vojtech Halenka, Ahmed K. Kadhim, Paul F. A. Clarke, Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen:
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines. - Michael Schlechtinger, Damaris Kosack, Franz Krause, Heiko Paulheim:
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning. - Yunbo Hou, Haoran Ye, Yingxue Zhang, Siyuan Xu, Guojie Song:
RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network. - John Musgrave, Anca L. Ralescu:
kNN Classification of Malware Data Dependency Graph Features. - Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun:
Block Transformer: Global-to-Local Language Modeling for Fast Inference. - Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian:
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization. - Nandita Joshi, Milena Radenkovic:
Opportunistic Delay Tolerant Routing for LED Wristbands in Music Events. - Aidan Scannell, Kalle Kujanpää, Yi Zhao, Mohammadreza Nakhaei, Arno Solin, Joni Pajarinen:
iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning. - Scott H. Hawley, Austin R. Tackett:
Operational Latent Spaces. - Zoe De Simone, Sayandeep Biswas, Oscar Wu:
Window to Wall Ratio Detection using SegFormer. - Max H. Cohen, Ryan K. Cosner, Aaron D. Ames:
Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems. - Aram Avetisyan, Nikolas Khachaturov, Ariana A. Asatryan, Shahane Tigranyan, Yury Markin:
Self-Trained Model for ECG Complex Delineation. - Christopher A. Choquette-Choo, Arun Ganesh, Abhradeep Thakurta:
Optimal Rates for DP-SCO with a Single Epoch and Large Batches. - Haolin Li, Jinyang Liu, Mario Sznaier, Octavia I. Camps:
3D-HGS: 3D Half-Gaussian Splatting. - Min Cai, Yuchen Zhang, Shichang Zhang, Fan Yin, Difan Zou, Yisong Yue, Ziniu Hu:
Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller. - Mehdi Kermanshah, Logan E. Beaver, Max Sokolich, Sambeeta Das, Ron Weiss, Roberto Tron, Calin Belta:
Control of Microrobots Using Model Predictive Control and Gaussian Processes for Disturbance Estimation. - Shiqi Zhang, Darshan Gadginmath, Fabio Pasqualetti:
Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator. - Sanghyun Lee, Chanyoung Park:
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting. - Armin Mostafavi, Milica Vujovic, Tong Bill Xu, Michael Hensel:
Impacts of Illuminance and Correlated Color Temperature on Cognitive Performance: A VR-Lighting Study. - Fatma Hmissi, Sofiane Ouni:
TD-MQTT: Transparent Distributed MQTT Brokers for Horizontal IoT Applications. - Simon Zhang, Soham Mukherjee, Tamal K. Dey:
GEFL: Extended Filtration Learning for Graph Classification. - Min-Jae Hwang, Ilia Kulikov, Benjamin Peloquin, Hongyu Gong, Peng-Jen Chen, Ann Lee:
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation. - Carolina Trindade, Luis Filipe Coelho Antunes, Tânia Carvalho, Nuno Moniz:
Synthetic Data Outliers: Navigating Identity Disclosure. - Zhenpeng Lin, Zheng Yu, Ziyi Guo, Simone Campanoni, Peter Dinda, Xinyu Xing:
CAMP: Compiler and Allocator-based Heap Memory Protection. - Theo Conrads, Lukas Drexler, Joshua Könen, Daniel R. Schmidt, Melanie Schmidt:
Local Search k-means++ with Foresight. - Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt:
Long Range Propagation on Continuous-Time Dynamic Graphs. - Surbhi Goel, Abhishek Shetty, Konstantinos Stavropoulos, Arsen Vasilyan:
Tolerant Algorithms for Learning with Arbitrary Covariate Shift. - Yixuan Liu, Li Xiong, Yuhan Liu, Yujie Gu, Ruixuan Liu, Hong Chen:
DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning. - Nathan Ng, Roger B. Grosse, Marzyeh Ghassemi:
Measuring Stochastic Data Complexity with Boltzmann Influence Functions. - Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu:
RATT: A Thought Structure for Coherent and Correct LLM Reasoning. - Daniel A. P. Oliveira, Eugénio Ribeiro, David Martins de Matos:
Story Generation from Visual Inputs: Techniques, Related Tasks, and Challenges. - Vivek Bharadwaj, Beheshteh T. Rakhshan, Osman Asif Malik, Guillaume Rabusseau:
Efficient Leverage Score Sampling for Tensor Train Decomposition. - Carlos F. Borges:
A Fast Compensated Algorithm for Computing Givens Rotations. - Dehong Xu, Liang Qiu, Minseok Kim, Faisal Ladhak, Jaeyoung Do:
Aligning Large Language Models via Fine-grained Supervision. - Wayner Barrios, SouYoung Jin:
Multi-layer Learnable Attention Mask for Multimodal Tasks. - Ruben Becker, Sung-Hwan Kim, Nicola Prezza, Carlo Tosoni:
Indexing Finite-State Automata Using Forward-Stable Partitions. - Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao:
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback. - Sigur de Vries, Sander W. Keemink, Marcel van Gerven:
Discovering Dynamic Symbolic Policies with Genetic Programming. - Kathrin Donandt, Dirk Söffker:
Spatial and social situation-aware transformer-based trajectory prediction of autonomous systems. - Mohammed Jouhari, Mohsen Guizani:
Lightweight CNN-BiLSTM based Intrusion Detection Systems for Resource-Constrained IoT Devices. - Kathrin Donandt, Karim Böttger, Dirk Söffker:
Short-term Inland Vessel Trajectory Prediction with Encoder-Decoder Models. - Kathrin Donandt, Karim Böttger, Dirk Söffker:
Improved context-sensitive transformer model for inland vessel trajectory prediction. - Roya Aliakbarisani, Robert Jankowski, M. Ángeles Serrano, Marián Boguñá:
Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance. - Advait Gadhikar, Sree Harsha Nelaturu, Rebekka Burkholz:
Cyclic Sparse Training: Is it Enough? - Qiaomu Miao, Alexandros Graikos, Jingwei Zhang, Sounak Mondal, Minh Hoai, Dimitris Samaras:
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following. - Florian Stadtmann, Adil Rasheed:
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy. - Gabriele Moreno Berton, Lorenz Junglas, Riccardo Zaccone, Thomas Pollok, Barbara Caputo, Carlo Masone:
MeshVPR: Citywide Visual Place Recognition Using 3D Meshes. - Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan:
MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning. - Samuel Scheele, Katherine Picchione, Jeffrey Liu:
LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster Imagery. - Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster:
Feasibility of State Space Models for Network Traffic Generation. - Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Shuhang Lin, Mingyu Jin, Haochen Xue, Zelong Li, Jindong Wang, Yongfeng Zhang:
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities. - Hilal Asi, Daogao Liu, Kevin Tian:
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions. - Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren:
Building Socially-Equitable Public Models. - Wang Zhu, Ishika Singh, Robin Jia, Jesse Thomason:
Language Models can Infer Action Semantics for Classical Planners from Environment Feedback. - Priya Pitre, Kurt Luther:
ArguMentor: Augmenting User Experiences with Counter-Perspectives. - Øyvind Stormark Auestad:
Numerical approximation of linear evolution equations revisited. - Róbert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam D. Smith, Marika Swanberg:
Auditing Privacy Mechanisms via Label Inference Attacks. - Hao Peng, Huilian Sophie Qiu, Henrik Barslund Fosse, Brian Uzzi:
Promotional Language and the Adoption of Innovative Ideas in Science. - Kaveh Malek, Claus Danielson, Fernando Moreu:
Immersive Robot Programming Interface for Human-Guided Automation and Randomized Path Planning. - Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian D. Wood, Mohamad Ali Kâafar, Nicolas Kourtellis:
SenTopX: Benchmark for User Sentiment on Various Topics. - Haoran Ma, Yifan Qiao, Shi Liu, Shan Yu, Yuanjiang Ni, Qingda Lu, Jiesheng Wu, Yiying Zhang, Miryung Kim, Harry Xu:
DRust: Language-Guided Distributed Shared Memory with Fine Granularity, Full Transparency, and Ultra Efficiency. - François Roewer-Després, Jinyue Feng, Zining Zhu, Frank Rudzicz:
ACCORD: Closing the Commonsense Measurability Gap. - Yifei Wang, Sungyoon Kim, Paul Chu, Indu Subramaniam, Mert Pilanci:
Randomized Geometric Algebra Methods for Convex Neural Networks. - Clayton W. Ramsey, Zachary K. Kingston, Wil Thomason, Lydia E. Kavraki:
Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking. - Burhan Wafai, Ankit Dubey, Chinmoy Kundu:
Secrecy Analysis of CSI Ratio-Based Transmitter Selection with Unreliable Backhaul. - Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arik:
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks. - Kiymet Akdemir, Pinar Yanardag:
ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models. - Andre Schreiber, Arun Narenthiran Sivakumar, Peter Du, Mateus Valverde Gasparino, Girish Chowdhary, Katherine Driggs Campbell:
W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics. - Yu-Wen Chen, Julia Hirschberg:
Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes. - Yuansan Liu, Sudanthi N. R. Wijewickrema, Dongting Hu, Christofer Bester, Stephen J. O'Leary, James Bailey:
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting. - Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov:
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies. - Jash Dalvi, Ali Dabouei, Gunjan Dhanuka, Min Xu:
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection. - Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag:
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms. - Yimian Dai, Minrui Zou, Yuxuan Li, Xiang Li, Kang Ni, Jian Yang:
DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR Images. - Mehrdad Saberi, Vinu Sankar Sadasivan, Arman Zarei, Hessam Mahdavifar, Soheil Feizi:
DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking. - Sun-Beom Kwon, Arun Prakash:
Scalar auxiliary variable (SAV) stabilization of implicit-explicit (IMEX) time integration schemes for nonlinear structural dynamics. - Niccolò Ronchetti:
Conditional Idempotent Generative Networks. - Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome:
Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features. - Li Yang, Anushya Subbiah, Hardik Patel, Judith Yue Li, Yanwei Song, Reza Mirghaderi, Vikram Aggarwal:
Item-Language Model for Conversational Recommendation. - Brian K. Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi:
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers. - Zhongxing Zhang:
Development of an underwater inductive coupling communication system with power carrier technology. - Yichuan Wang, Yang Liu, Yu Yan, Qun Wang, Xucheng Huang, Ling Jiang:
Xmodel-LM Technical Report. - Ryo Yonetani:
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems. - Yiru Liu, Xiaocong Zhao, Jian Sun:
Towards Interactive Autonomous Vehicle Testing: Vehicle-Under-Test-Centered Traffic Simulation. - Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu:
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective. - Yi-Pei Chen, Kuanchao Chu, Hideki Nakayama:
LLM as a Scorer: The Impact of Output Order on Dialogue Evaluation. - Ancheng Xu, Minghuan Tan, Lei Wang, Min Yang, Ruifeng Xu:
NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models. - Ziyuan Yang, Zhaoyang Li, Jianming Hu, Yi Zhang:
Dynamically Expanding Capacity of Autonomous Driving with Near-Miss Focused Training Framework. - Yuan Yao, Haipeng Mi:
A Design Experience for Interactive Narrative Based on The User Behavior. - Yuji Kawai, Takashi Morita, Jihoon Park, Minoru Asada:
Oscillations enhance time-series prediction in reservoir computing with feedback. - Qi Heng Ho, Martin S. Feather, Federico Rossi, Zachary N. Sunberg, Morteza Lahijanian:
Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives. - Yang Liu, Peng Zhang, Yang Gao, Chuan Zhou, Zhao Li, Hongyang Chen:
Combinatorial Optimization with Automated Graph Neural Networks. - George Nehma, Madhur Tiwari:
Leveraging KANs For Enhanced Deep Koopman Operator Discovery. - Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. - Jeffrey Ma, Alan Tu, Yiling Chen, Vijay Janapa Reddi:
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting. - Dong Zhao, Jiaying Shi, Wenjun Li, Shudong Wang, Shenghui Xu, Zhaoming Pan:
Controllable Talking Face Generation by Implicit Facial Keypoints Editing. - Peng Xing, Ning Wang, Jianbo Ouyang, Zechao Li:
Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Adapter. - Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge. - Thushari Hapuarachchi, Jing Lin, Kaiqi Xiong, Mohamed Rahouti, Gitte Ost:
Nonlinear Transformations Against Unlearnable Datasets. - Tao Yang, Yingmin Luo, Zhongang Qi, Yang Wu, Ying Shan, Chang Wen Chen:
PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM. - Jing Huang, Yunxi Tang, Kwok Wai Samuel Au:
Homotopic Path Set Planning for Robot Manipulation and Navigation. - Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang:
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. - Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai:
HYDRA: Model Factorization Framework for Black-Box LLM Personalization. - Zaiying Zhao, Soichiro Kumano, Toshihiko Yamasaki:
Language-guided Detection and Mitigation of Unknown Dataset Bias. - Dom Huh, Prasant Mohapatra:
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning. - Haike Xu, Sandeep Silwal, Piotr Indyk:
A Bi-metric Framework for Fast Similarity Search. - Unggi Lee, Jiyeong Bae, Dohee Kim, Sookbun Lee, Jaekwon Park, Taekyung Ahn, Gunho Lee, Damji Stratton, Hyeoncheol Kim:
Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task. - Trung Dang, David Aponte, Dung Tran, Kazuhito Koishida:
LiveSpeech: Low-Latency Zero-shot Text-to-Speech via Autoregressive Modeling of Audio Discrete Codes. - Xiao Zheng, Wenchi Cheng, Jingqing Wang, Wei Zhang:
Location-Driven Beamforming for RIS-Assisted Near-Field Communications. - Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum:
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms. - Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao:
S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. - Shiguang Guo, Ziliang Deng, Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun:
Open Grounded Planning: Challenges and Benchmark Construction. - Neri Merhav:
On Jacob Ziv's Individual-Sequence Approach to Information Theory. - Zishang Li, Changqing Ye, Eric T. Chung:
An iterative constraint energy minimizing generalized multiscale finite element method for contact problem. - Hossein Esfandiari, Vahab Mirrokni, Praneeth Kacham, David P. Woodruff, Peilin Zhong:
High-Dimensional Geometric Streaming for Nearly Low Rank Data. - Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. - Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu:
Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. - Xiaoteng Zhou, Katsunori Mizuno, Yilong Zhang:
A Self-Supervised Denoising Strategy for Underwater Acoustic Camera Imageries. - Jinhao Li, Haopeng Li, Sarah M. Erfani, Lei Feng, James Bailey, Feng Liu:
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models. - Mohammad Dehghani Tezerjani, Dominic Carrillo, Deyuan Qu, Sudip Dhakal, Amir Mirzaeinia, Qing Yang:
Real-time Motion Planning for autonomous vehicles in dynamic environments. - Khemraj Shukla, Juan Diego Toscano, Zhicheng Wang, Zongren Zou, George Em Karniadakis:
A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks. - Yuxuan Zhou, Xien Liu, Chen Ning, Ji Wu:
MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge. - Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran:
Text Injection for Neural Contextual Biasing. - Malyaban Bal, Abhronil Sengupta:
Rethinking Spiking Neural Networks as State Space Models. - Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu:
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models. - Mehdi Jabbari Zideh, Sarika Khushalani Solanki:
Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs. - Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang:
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models. - Tao Zhang, Shiqing Wei, Yikang Zhou, Muying Luo, Wenling You, Shunping Ji:
P2PFormer: A Primitive-to-polygon Method for Regular Building Contour Extraction from Remote Sensing Images. - Aimee Allen, Tom Drummond, Dana Kulic:
Robots Have Been Seen and Not Heard: Effects of Consequential Sounds on Human-Perception of Robots. - Haohan Guo, Fenglong Xie, Dongchao Yang, Hui Lu, Xixin Wu, Helen Meng:
Addressing Index Collapse of Large-Codebook Speech Tokenizer with Dual-Decoding Product-Quantized Variational Auto-Encoder. - Xiangcheng Zheng, Hong Wang, Wenlin Qiu:
Numerical approximation for variable-exponent fractional diffusion-wave equation. - Keun Soo Yim:
The Task-oriented Queries Benchmark (ToQB). - Trevine Oorloff, Surya Koppisetti, Nicolò Bonettini, Divyaraj Solanki, Ben Colman, Yaser Yacoob, Ali Shahriyari, Gaurav Bharaj:
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection. - Zhenyu Hou, Haozhan Li, Yukuo Cen, Jie Tang, Yuxiao Dong:
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment. - Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar:
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs. - Chen Jia:
Adversarial Moment-Matching Distillation of Large Language Models. - Qiang Sun, Yuanyi Luo, Wenxiao Zhang, Sirui Li, Jichunyang Li, Kai Niu, Xiangrui Kong, Wei Liu:
Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models. - Fabian Ritter Gutierrez, Kuan-Po Huang, Jeremy H. M. Wong, Dianwen Ng, Hung-yi Lee, Nancy F. Chen, Eng Siong Chng:
Dataset-Distillation Generative Model for Speech Emotion Recognition. - Glory Justin, Santiago Paternain:
Real-Time Small-Signal Security Assessment Using Graph Neural Networks. - Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh:
Understanding the Impact of Negative Prompts: When and How Do They Take Effect? - Matthew Nyaaba, Alyson Wright, Gyu Lim Choi:
Generative AI and Digital Neocolonialism in Global Education: Towards an Equitable Framework. - Sangeek Hyun, Jae-Pil Heo:
Adversarial Generation of Hierarchical Gaussians for 3D Generative Model. - Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Jacob-Junqi Tian, John Willes, Blanka Horvath, Frank Rudzicz:
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models. - Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermüller, Yiannis Aloimonos, Heng Huang, Christopher A. Metzler:
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion. - Jingshen Zhang, Xinglu Chen, Xinying Qiu, Zhimin Wang, Wenhe Feng:
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese. - Ruituo Wu, Yang Chen, Jian Xiao, Bing Li, Jicong Fan, Frédéric Dufaux, Ce Zhu, Yipeng Liu:
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection. - Xingjian Yang, Zhitao Yu, Ashis G. Banerjee:
Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices. - Jiahang Zhang, Lilang Lin, Shuai Yang, Jiaying Liu:
Self-Supervised Skeleton Action Representation Learning: A Benchmark and Beyond. - Yucheng Wu, Liyue Chen, Yu Cheng, Shuai Chen, Jinyu Xu, Leye Wang:
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks. - Yang Chen, Ce Zhu, Jiani Liu, Yipeng Liu:
Tensor Polynomial Additive Model. - Shahaf Bassan, Guy Amir, Guy Katz:
Local vs. Global Interpretability: A Computational Complexity Perspective. - Keyu Chen, Yuheng Lei, Hao Cheng, Haoran Wu, Wenchao Sun, Sifa Zheng:
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality. - Wenliang Zhong, Wenyi Wu, Qi Li, Robert A. Barton, Boxin Du, Shioulin Sam, Karim Bouyarmane, Ismail B. Tutar, Junzhou Huang:
Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment. - Yunho Kim, Jeonghyun Lee, Choongin Lee, Juhyeok Mun, Donghoon Youm, Jeongsoo Park, Jemin Hwangbo:
Learning Semantic Traversability with Egocentric Video and Automated Annotation Strategy. - Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ling Chen, Ying Sun, Shen Zhao, Xiaodan Liang, Liang Lin:
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. - Ioannis Kontostathis, Evlampios Apostolidis, Vasileios Mezaris:
A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods. - Wooseong Jeong, Kuk-Jin Yoon:
Quantifying Task Priority for Multi-Task Optimization. - Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael T. Schaub:
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs. - Xinran Zhao, Lin Dai:
To Sense or Not To Sense: A Delay Perspective (full version). - Yaacov Pariente, Vadim Indelman:
Simplification of Risk Averse POMDPs with Performance Guarantees. - Peng Zhao, Runchu Dong, Guiqin Wang, Cong Zhao:
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift. - Sahil Bhatia, Jie Qiu, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung:
Verified Code Transpilation with LLMs. - Yufei Wang, Mengyue Wu:
Evaluation of data inconsistency for multi-modal sentiment analysis. - Yifei Wang, Dizhan Xue, Shengjie Zhang, Shengsheng Qian:
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents. - Yidong Huang, Jacob Sansom, Ziqiao Ma, Felix Gervits, Joyce Chai:
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences. - Sheng-Lun Wei, Cheng-Kuang Wu, Hen-Hsen Huang, Hsin-Hsi Chen:
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models. - Xiao Zheng, Wenchi Cheng, Jiangzhou Wang:
Huygens-Fresnel Model Based Position-Aided Phase Configuration for 1-Bit RIS Assisted Wireless Communication. - André Artelt, Barbara Hammer:
Analyzing the Influence of Training Samples on Explanations. - Dmytro Kuzmenko, Nadiya Shvai:
Balancing Performance and Efficiency in Zero-shot Robotic Navigation. - Jun Liu, Jiantao Zhou, Jiandian Zeng, Jinyu Tian, Zheng Li:
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain. - Pengjie Wang, Kaile Zhang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu:
Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction. - Ali Malik, Stephen Mayhew, Chris Piech, Klinton Bicknell:
From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation. - Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao:
Instructing Prompt-to-Prompt Generation for Zero-Shot Learning. - Riccardo Poiani, Rémy Degenne, Emilie Kaufmann, Alberto Maria Metelli, Marcello Restelli:
Optimal Multi-Fidelity Best-Arm Identification. - Jingyun Xue, Hongfa Wang, Qi Tian, Yue Ma, Andong Wang, Zhiyuan Zhao, Shaobo Min, Wenzhe Zhao, Kaihao Zhang, Heung-Yeung Shum, Wei Liu, Mengyang Liu, Wenhan Luo:
Follow-Your-Pose v2: Multiple-Condition Guided Character Image Animation for Stable Pose Control. - Biyun Ling, Yuhu Xia, Minli Cai, Xiaoyue Wang, Yaming Wu:
Study on layout of double rotated serpentine springs for vertical-comb-driven torsional micromirror. - Zhennan Fei, Mikael Andersson, Andreas Tingberg:
Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving. - Geeling Chau, Christopher Wang, Sabera Talukder, Vighnesh Subramaniam, Saraswati Soedarmadji, Yisong Yue, Boris Katz, Andrei Barbu:
Population Transformer: Learning Population-level Representations of Intracranial Activity. - Federica Botta, Matteo Calafà, Pasquale Claudio Africa, Christian Vergara, Paola F. Antonietti:
High-order Discontinuous Galerkin Methods for the Monodomain and Bidomain Models. - Xuerui Qiu, Zheng Luan, Zhaorui Wang, Rui-Jie Zhu:
When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron. - Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Giving each task what it needs - leveraging structured sparsity for tailored multi-task learning. - Shaolei Zhang, Qingkai Fang, Shoutao Guo, Zhengrui Ma, Min Zhang, Yang Feng:
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning. - Minglei Li, Peng Ye, Yongqi Huang, Lin Zhang, Tao Chen, Tong He, Jiayuan Fan, Wanli Ouyang:
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision. - Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen:
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections. - Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Spiking representation learning for associative memories. - Michael Holly, Jannik Hildebrandt, Johanna Pirker:
A Computer-Supported Collaborative Learning Environment for Computer Science Education. - Hoyong Choi, Nohyun Ki, Hye Won Chung:
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges. - Martino Ciaperoni, Han Xiao, Aristides Gionis:
Efficient Exploration of the Rashomon Set of Rule Set Models. - Shihori Koyama, Daisuke Inoue, Hiroaki Yoshida, Kazuyuki Aihara, Gouhei Tanaka:
Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing. - Jinge Wu, Abul Hasan, Honghan Wu:
RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization. - Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang:
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. - Qiang Nie, Weifu Fu, Yuhuan Lin, Jialin Li, Yifeng Zhou, Yong Liu, Lei Zhu, Chengjie Wang:
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner. - Nina Smirnova:
Automatically detecting scientific political science texts from a large general document index. - Lei Chen, Joan Bruna, Alberto Bietti:
How Truncating Weights Improves Reasoning in Language Models. - Muhan Hou, Koen V. Hindriks, A. E. Eiben, Kim Baraka:
"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations. - Zicheng Zhang, Haoning Wu, Chunyi Li, Yingjie Zhou, Wei Sun, Xiongkuo Min, Zijian Chen, Xiaohong Liu, Weisi Lin, Guangtao Zhai:
A-Bench: Are LMMs Masters at Evaluating AI-generated Images? - Maria Tzelepi, Vasileios Mezaris:
Exploiting LMM-based knowledge for image classification tasks. - Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar:
Local to Global: Learning Dynamics and Effect of Initialization for Transformers. - Xiaoxi Sun, Jinpeng Li, Yan Zhong, Dongyan Zhao, Rui Yan:
Towards Detecting LLMs Hallucination via Markov Chain-based Multi-agent Debate Framework. - Adam S. Tuft, Tobias Weinzierl, Michael Klemm:
Detrimental task execution patterns in mainstream OpenMP runtimes. - Kahou Tam, Kewei Xu, Li Li, Huazhu Fu:
Towards Federated Domain Unlearning: Verification Methodologies and Challenges. - Wail Zellagui, Abdessamad Imine, Yamina Tadjeddine:
Cryptocurrency Frauds for Dummies: How ChatGPT introduces us to fraud? - Xianliang Xu, Zhongyi Huang:
A Priori Estimation of the Approximation, Optimization and Generalization Error of Random Neural Networks for Solving Partial Differential Equations. - Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork:
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. - Tingjia Shen, Hao Wang, Jiaqing Zhang, Sirui Zhao, Liangyue Li, Zulong Chen, Defu Lian, Enhong Chen:
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation. - Sheng Zhou, Yukuan Jia, Ruiqing Mao, Zhaojun Nan, Yuxuan Sun, Zhisheng Niu:
Task-Oriented Wireless Communications for Collaborative Perception in Intelligent Unmanned Systems. - Samar Agnihotri, Renu Rameshan, Ritwik Ghosal:
Lossless Image Compression Using Multi-level Dictionaries: Binary Images. - Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao:
HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. - Sabah Binte Noor, Fazlul Hasan Siddiqui:
Improving Plan Execution Flexibility using Block-Substitution. - Xihang Yue, Linchao Zhu, Yi Yang:
FragRel: Exploiting Fragment-level Relations in the External Memory of Large Language Models. - Ryo Fujii, Hideo Saito, Hiroki Kajita:
EgoSurgery-Tool: A Dataset of Surgical Tool and Hand Detection from Egocentric Open Surgery Videos. - Shuqi He, Jun Zhuang, Ding Wang, Luyao Peng, Jun Song:
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs. - Kai Liang, Gan Zheng, Zan Li, Kai-Kit Wong, Chan-Byoung Chae:
A Data and Model-Driven Deep Learning Approach to Robust Downlink Beamforming Optimization. - Lorenzo Sciandra, Roberto Esposito, Andrea Cesare Grosso, Laura Sacerdote, Cristina Zucca:
Graph Convolutional Branch and Bound. - Bo Xia, Yilun Kong, Yongzhe Chang, Bo Yuan, Zhiheng Li, Xueqian Wang, Bin Liang:
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays. - Han Li, Zehao Huang, Zitian Wang, Wenge Rong, Naiyan Wang, Si Liu:
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors. - Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan:
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. - Zhixun He, Mukesh Singhal:
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise. - Hatem Helal, Andrew W. Fitzgibbon:
MESS: Modern Electronic Structure Simulations. - M. P. Calvo, Joseba Makazaga, Ander Murua:
Taylor-Fourier integration. - Wuttikorn Ponwitayarat, Peerat Limkonchotiwat, Ekapol Chuangsuwanich, Sarana Nutanong:
Space Decomposition for Sentence Embedding. - Shun Zhang, Chaoran Yan, Jian Yang, Jiaheng Liu, Ying Mo, Jiaqi Bai, Tongliang Li, Zhoujun Li:
Towards Real-world Scenario: Imbalanced New Intent Discovery. - Eliraz Orfaig, Inna Stainvas, Igal Bilik:
Enhanced Automotive Object Detection via RGB-D Fusion in a DiffusionDet Framework. - Elias Heftrig, Haya Schulmann, Niklas Vogel, Michael Waidner:
The Harder You Try, The Harder You Fail: The KeyTrap Denial-of-Service Algorithmic Complexity Attacks on DNSSEC. - Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu:
Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models. - Qingkun Deng, Saturnino Luz, Sofia de la Fuente Garcia:
A Frame-based Attention Interpretation Method for Relevant Acoustic Feature Extraction in Long Speech Depression Detection. - Zhaolu Liu, Jonathan M. Clarke, Bertha Rohenkohl, Mauricio Barahona:
Patterns of co-occurrent skills in UK job adverts. - Sanghyun Lee, Chanyoung Park:
Continual Traffic Forecasting via Mixture of Experts. - Sushant Agarwal, Amit Deshpande:
On the Power of Randomization in Fair Classification and Representation. - Xiuli Bi, Zonglin Yang, Bo Liu, Xiaodong Cun, Chi-Man Pun, Pietro Lio, Bin Xiao:
ZeroPur: Succinct Training-Free Adversarial Purification. - Veljko Kovac, Erik J. Bekkers, Pietro Liò, Floor Eijkelboom:
E(n) Equivariant Message Passing Cellular Networks. - Erik Landolsi, Fredrik Kahl:
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation. - Luis Müller, Christopher Morris:
Aligning Transformers with Weisfeiler-Leman. - Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu:
Sample-specific Masks for Visual Reprogramming-based Prompting. - Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic:
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. - Steinar Laenen, He Sun:
Dynamic Spectral Clustering with Provable Approximation Guarantee. - Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation. - Shuang Ao, Stefan Rueger, Advaith Siddharthan:
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs. - Handong Luo, Wenhao Liu, Qi Zhang, Ziheng Yang, Quanwei Lin, Wenjun Zhu, Kun Qiu, Zhe Chen, Yue Gao:
Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading. - Louis Chislett, Louis J. M. Aslett, Alisha R. Davies, Catalina A. Vallejos, James Liley:
Ethical considerations of use of hold-out sets in clinical prediction model management. - Yogesh Verma, Amauri H. Souza, Vikas Garg:
Topological Neural Networks go Persistent, Equivariant, and Continuous. - Peter Sanders, Daniel Seemaier:
Brief Announcement: Distributed Unconstrained Local Search for Multilevel Graph Partitioning. - Farhad Nooralahzadeh, Yi Zhang, Ellery Smith, Sabine Maennel, Cyril Matthey-Doret, Raphaël de Fondville, Kurt Stockinger:
StatBot.Swiss: Bilingual Open Data Exploration in Natural Language. - Chenhao Si, Ming Yan:
Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN). - Tobias Fischer, Jonas Kulhanek, Samuel Rota Bulò, Lorenzo Porzi, Marc Pollefeys, Peter Kontschieder:
Dynamic 3D Gaussian Fields for Urban Areas. - Mingyuan Li, Tong Jia, Hui Lu, Bowen Ma, Hao Wang, Dongyue Chen:
MMCL: Boosting Deformable DETR-Based Detectors with Multi-Class Min-Margin Contrastive Learning for Superior Prohibited Item Detection. - Xiaopeng Lin, Hongwei Ren, Bojun Cheng:
FAPNet: An Effective Frequency Adaptive Point-based Eye Tracker. - Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Missci: Reconstructing Fallacies in Misrepresented Science. - Jérémie Dentan, Arnaud Paran, Aymen Shabou:
Reconstructing training data from document understanding models. - Amritendu Dhar, Vijay Natarajan, Abhishek Rathod:
Geometric Localization of Homology Cycles. - Hao Wen, Zehuan Huang, Yaohui Wang, Xinyuan Chen, Yu Qiao, Lu Sheng:
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion. - Habtamu Abie, Sandeep Pirbhulal:
Autonomous Adaptive Security Framework for 5G-Enabled IoT. - Antoine Fressancourt, Luigi Iannone, Mael Kerichard:
Ariadne: a Privacy-Preserving Communication Protocol. - Syed Sha Qutub, Michael Paulitsch, Korbinian Hagn, Neslihan Köse Cihangir, Kay-Ulrich Scholl, Fabian Oboril, Gereon Hinz, Alois Knoll:
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. - Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang:
Graph Neural Network Explanations are Fragile. - Moises Diaz, Gioele Crispo, Antonio Parziale, Angelo Marcelli, Miguel A. Ferrer:
Writing Order Recovery in Complex and Long Static Handwriting. - Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan:
The Impossibility of Fair LLMs. - Ziyun Cui, Ziyang Zhang, Wen Wu, Guangzhi Sun, Chao Zhang:
Bayesian WeakS-to-Strong from Text Classification to Generation. - Rafael I. Cabral Muchacho, Florian T. Pokorny:
Adaptive Distance Functions via Kelvin Transformation. - Jeiyoon Park, Chanjun Park, Heuiseok Lim:
ChatLang-8: An LLM-Based Synthetic Data Generation Framework for Grammatical Error Correction. - Daniele Corradetti, Jose Delgado Rodrigues:
Identification of Stone Deterioration Patterns with Large Multimodal Models. - I Putu Arya Dharmaadi, Elias Athanasopoulos, Fatih Turkmen:
Fuzzing Frameworks for Server-side Web Applications: A Survey. - Amir Mohammad Karimi-Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer:
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery. - Yang Zhang, Keqin Bao, Ming Yang, Wenjie Wang, Fuli Feng, Xiangnan He:
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. - Josuan Calderon, Gordon J. Berman:
Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders. - Haoran Cheng, Liang Peng, Linxuan Xia, Yuepeng Hu, Hengjia Li, Qinglin Lu, Xiaofei He, Boxi Wu:
Searching Priors Makes Text-to-Video Synthesis Better. - Martin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni Zappella:
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need. - Pierre Nugues:
Linking Named Entities in Diderot's Encyclopédie to Wikidata. - Ahmed Nader, Muhayy Ud Din, Mughni Irfan, Irfan Hussain:
Object Manipulation in Marine Environments using Reinforcement Learning. - Giulio Evangelisti, Cosimo Della Santina, Sandra Hirche:
Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes. - Matheus A. Cerqueira, Flávia Sprenger, Bernardo C. A. Teixeira, Alexandre X. Falcão:
Interactive Image Selection and Training for Brain Tumor Segmentation Network. - Martin Langhammer, George A. Constantinides:
Soft GPGPU versus IP cores: Quantifying and Reducing the Performance Gap. - Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman, Korbinian Hagn, Fabian Oboril, Cornelius Bürkle, Kay-Ulrich Scholl, Gereon Hinz, Alois Knoll:
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models. - Amelia Kawasaki, Andrew Davis, Houssam Abbas:
Defending Large Language Models Against Attacks With Residual Stream Activation Analysis. - Michael Eichelbeck, Hannah Markgraf, Matthias Althoff:
CommonPower: Supercharging Machine Learning for Smart Grids. - Terry J. Lyons, Andrew D. McLeod:
Higher Order Lipschitz Greedy Recombination Interpolation Method (HOLGRIM). - Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee:
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning. - Janick Michot, Manuela Hürlimann, Jan Deriu, Luzia Sauer, Katsiaryna Mlynchyk, Mark Cieliebak:
Error-preserving Automatic Speech Recognition of Young English Learners' Language. - Zhiyong Wang, Ruibo Fu, Zhengqi Wen, Yuankun Xie, Yukun Liu, Xiaopeng Wang, Xuefei Liu, Yongwei Li, Jianhua Tao, Yi Lu, Xin Qi, Shuchen Shi:
Generalized Fake Audio Detection via Deep Stable Learning. - Zhenyun Deng, Michael Schlichtkrull, Andreas Vlachos:
Document-level Claim Extraction and Decontextualisation for Fact-Checking. - Yuankun Xie, Ruibo Fu, Zhengqi Wen, Zhiyong Wang, Xiaopeng Wang, Haonan Cheng, Long Ye, Jianhua Tao:
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy. - Connor Wilson, Daniel J. Rea, Scott Bateman:
Temperature Illusions in Mixed Reality using Color and Dynamic Graphics. - Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er:
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics. - Biao Sun, Ziming Huang, Hanyu Zhao, Wencong Xiao, Xinyi Zhang, Yong Li, Wei Lin:
Llumnix: Dynamic Scheduling for Large Language Model Serving. - Aakash Gautam:
Reconfiguring Participatory Design to Resist AI Realism. - Xiaopeng Wang, Ruibo Fu, Zhengqi Wen, Zhiyong Wang, Yuankun Xie, Yukun Liu, Jianhua Tao, Xuefei Liu, Yongwei Li, Xin Qi, Yi Lu, Shuchen Shi:
Genuine-Focused Learning using Mask AutoEncoder for Generalized Fake Audio Detection. - Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang:
Large Language Models as Evaluators for Recommendation Explanations. - Jiali Nie, Yuanhao Cui, Zhaohui Yang, Weijie Yuan, Xiaojun Jing:
Near-field Beamforming for Extremely Large-scale MIMO Based on Unsupervised Deep Learning. - Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, QiCheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen:
Prompt-based Visual Alignment for Zero-shot Policy Transfer. - Théo Mariotte, Anthony Larcher, Silvio Montrésor, Jean-Hugh Thomas:
ASoBO: Attentive Beamformer Selection for Distant Speaker Diarization in Meetings. - Akshit Sinha, Sreeram Vennam, Charu Sharma, Ponnurangam Kumaraguru:
Generating Explanations for Cellular Neural Networks. - Jinqiu Jin, Haoxuan Li, Fuli Feng:
On the Maximal Local Disparity of Fairness-Aware Classifiers. - Jiangning Zhang, Haoyang He, Zhenye Gan, Qingdong He, Yuxuan Cai, Zhucun Xue, Yabiao Wang, Chengjie Wang, Lei Xie, Yong Liu:
ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection. - Patryk Bedkowski, Jan Dubinski, Kamil Deja, Przemyslaw Rokita:
Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN. - Matthias Stuermer:
Technological Perspective on Digital Sovereignty. - Marianne Bessemoulin-Chatard, Hélène Mathis:
Relative Entropy for the Numerical Diffusive Limit of the Linear Jin-Xin System. - Li Jiang, Zhaowei Lu, Yuebing Gao, Yifan Wang:
Image Copy-Move Forgery Detection and Localization Scheme: How to Avoid Missed Detection and False Alarm. - Pedro Azevedo, Emanuella Araújo, Gabriel Pierre, Willams de Lima Costa, João Marcelo X. N. Teixeira, Valter Ferreira, Roberto Jones, Veronica Teichrieb:
VWise: A novel benchmark for evaluating scene classification for vehicular applications. - Mohamed Elsayed, Homayoon Farrahi, Felix Dangel, A. Rupam Mahmood:
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning. - Félix Therrien, Edward H. Sargent, Oleksandr Voznyy:
Using GNN property predictors as molecule generators. - Anke Tang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao:
FusionBench: A Comprehensive Benchmark of Deep Model Fusion. - Lutz Kämmerer:
Constructing efficient spatial discretizations of spans of multivariate Chebyshev polynomials. - Falah Jabar, João Ascenso, Maria Paula Queluz:
Globally and Locally Optimized Pannini Projection for High FoV Rendering of 360-degree Images. - Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang:
Enhancing Repository-Level Code Generation with Integrated Contextual Information. - Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu:
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. - Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li:
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. - Tiago da Silva, Luiz Max Carvalho, Amauri H. Souza, Samuel Kaski, Diego Mesquita:
Embarrassingly Parallel GFlowNets. - Greta Coraglia, Francesco A. Genco, Pellegrino Piantadosi, Enrico Bagli, Pietro Giuffrida, Davide Posillipo, Giuseppe Primiero:
Evaluating AI fairness in credit scoring with the BRIO tool. - Xiaofeng Yang, Cheng Chen, Xulei Yang, Fayao Liu, Guosheng Lin:
Text-to-Image Rectified Flow as Plug-and-Play Priors. - Yibo Liu, Jinjun Shan, Amaldev Haridevan, Shuo Zhang, Kejian Lin:
L-PR: Exploiting LiDAR Fiducial Marker for Unordered Low Overlap Multiview Point Cloud Registration. - Mikhail Mozikov, Nikita Severin, Valeria Bodishtianu, Maria Glushanina, Mikhail Baklashkin, Andrey V. Savchenko, Ilya Makarov:
The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games. - Razieh Rezaei, Masoud Jalili Sabet, Jindong Gu, Daniel Rueckert, Philip H. S. Torr, Ashkan Khakzar:
Learning Visual Prompts for Guiding the Attention of Vision Transformers. - Lei Zhang, Chanwook Park, T. J. R. Hughes, Wing Kam Liu:
Multi-Patch Isogeometric Convolution Hierarchical Deep-learning Neural Network. - Gijs de Jong, Macha J. Meijer, Derck W. E. Prinzhorn, Harold Ruiter:
Reproducibility study of FairAC. - Haobo Li, Wong Kam-Kwai, Yan Luo, Juntong Chen, Chengzhong Liu, Yaxuan Zhang, Alexis Kai-Hon Lau, Huamin Qu, Dongyu Liu:
Save It for the "Hot" Day: An LLM-Empowered Visual Analytics System for Heat Risk Management. - Lata Nautiyal, Awais Rashid:
A Framework for Mapping Organisational Workforce Knowledge Profile in Cyber Security. - Maximilian Zenk, David Zimmerer, Fabian Isensee, Jeremias Traub, Tobias Norajitra, Paul F. Jäger, Klaus H. Maier-Hein:
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation. - Yu Zhang, Rui Yu, Zhipeng Yao, Wenyuan Zhang, Jun Wang, Liming Zhang:
UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning. - Youchen Zhao, Guorong Luo, Hua Zhong, Haixiong Li:
A Flexible Recursive Network for Video Stereo Matching Based on Residual Estimation. - Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg:
Reparameterization invariance in approximate Bayesian inference. - Çaglar Hizli, Çagatay Yildiz, Matthias Bethge, St John, Pekka Marttinen:
Identifying latent state transition in non-linear dynamical systems. - Bhashithe Abeysinghe, Ruhan Circi:
The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches. - Stephen Scarano, Vijayalakshmi Vasudevan, Chhandak Bagchi, Mattia Samory, JungHwan Yang, Przemyslaw A. Grabowicz:
Analyzing and Estimating Support for U.S. Presidential Candidates in Twitter Polls. - Hiroaki Chiba-Okabe, Weijie J. Su:
Tackling GenAI Copyright Issues: Originality Estimation and Genericization. - Allysson Allex Araújo, Marcos Kalinowski, Daniel Graziotin:
Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences? - Mehmet Hamza Erol, Arda Senocak, Jiu Feng, Joon Son Chung:
Audio Mamba: Bidirectional State Space Model for Audio Representation Learning. - Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen:
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. - Nicolò Colombo:
Normalizing Flows for Conformal Regression. - Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Mueller, Frank Hutter, Matthias Feurer, Bernd Bischl:
Position: A Call to Action for a Human-Centered AutoML Paradigm. - Chaitya Shah, Ritesh Konka, Gautam Malpani, Swapneel S. Mehta, Lynnette Hui Xian Ng:
Can Social Media Platforms Transcend Political Labels? An Analysis of Neutral Conservations on Truth Social. - Tanguy Lefort, Antoine Affouard, Benjamin Charlier, Jean-Christophe Lombardo, Mathias Chouet, Hervé Goëau, Joseph Salmon, Pierre Bonnet, Alexis Joly:
Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it? - Michal Zawalski, Gracjan Góral, Michal Tyrolski, Emilia Wisnios, Franciszek Budrowski, Lukasz Kucinski, Piotr Milos:
What Matters in Hierarchical Search for Combinatorial Reasoning Problems? - Timon Ziegenbein, Gabriella Skitalinskaya, Alireza Bayat Makou, Henning Wachsmuth:
LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback. - Xinrui Lin, Yangfan Wu, Huanyu Yang, Yu Zhang, Yanyong Zhang, Jianmin Ji:
CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning. - David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, Jian Yun Zhuang, Jesujoba O. Alabi, Xuanli He, Millicent Ochieng, Sara Hooker, Andiswa Bukula, En-Shiun Annie Lee, Chiamaka Chukwuneke, Happy Buzaaba, Blessing K. Sibanda, Godson Kalipe, Jonathan Mukiibi, Salomon Kabongo, Foutse Yuehgoh, Mmasibidi Setaka, Lolwethu Ndolela, Nkiruka Odu, Rooweither Mabuya, Shamsuddeen Hassan Muhammad, Salomey Osei, Sokhar Samb, Tadesse Kebede Guge, Pontus Stenetorp:
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models. - A. Cruzado, M. P. Ariza, A. Needleman, M. Ortiz, A. A. Benzerga:
A discrete dislocation analysis of size-dependent plasticity in torsion. - Yifan Wu, Siyu Yu, Ying Li:
Log Parsing with Self-Generated In-Context Learning and Self-Correction. - Dexiong Chen, Till Hendrik Schulz, Karsten M. Borgwardt:
Learning Long Range Dependencies on Graphs via Random Walks. - Alexandre Duarte, Francisco Fernandes, João M. Pereira, Catarina Moreira, Jacinto C. Nascimento, Joaquim A. Jorge:
SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors. - Pio Calderon, Marian-Andrei Rizoiu:
What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes. - Jihe Li, Fabian Zhang, Xia Li, Tianhao Zhang, Ye Zhang, Joachim M. Buhmann:
Gaussian Representation for Deformable Image Registration. - Haozhe Chen, Andres Felipe Duque Correa, Guy Wolf, Kevin R. Moon:
Noisy Data Visualization using Functional Data Analysis. - Kamyar Zeinalipour, Yusuf Gökberk Keptig, Marco Maggini, Marco Gori:
Automating Turkish Educational Quiz Generation Using Large Language Models. - Salim Rezvani, Farhad Pourpanah, Chee Peng Lim, Q. M. Jonathan Wu:
Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation. - Bruno Crispo, Marco Roveri, Sandro Pinto, Tiago Gomes, Aljosa Pasic, Ákos Milánkovich, David Puron, Ainara Garcia, Ziga Putrle, Peter Ten, Malvina Catalano:
CROSSCON: Cross-platform Open Security Stack for Connected Devices. - Jinsheng Yuan, Zhuangkun Wei, Weisi Guo:
Mixed-Precision Over-The-Air Federated Learning via Approximated Computing. - Kangyu Zheng, Yingzhou Lu, Zaixi Zhang, Zhongwei Wan, Yao Ma, Marinka Zitnik, Tianfan Fu:
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate? - Wei Shao, Rongyi Zhu, Cai Yang, Chandra Thapa, Muhammad Ejaz Ahmed, Seyit Camtepe, Rui Zhang, Du Yong Kim, Hamid Menouar, Flora D. Salim:
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation. - Sifat Ut Taki, Spyridon Mastorakis:
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud. - Wen-Yu Xi, Juan Wang, Yu-Lin Zhang, Jin-Xing Liu, Ying-Lian Gao:
LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network. - Siddharth Nair, Timothy F. Walsh, Greg Pickrell, Fabio Semperlotti:
Physics and geometry informed neural operator network with application to acoustic scattering. - Jinyin Chen, Xiaoming Zhao, Haibin Zheng, Xiao Li, Sheng Xiang, Haifeng Guo:
Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model. - Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon:
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. - Matthew Brehmer, Margaret Drouhard, Arjun Srinivasan:
RemixTape: Enriching Narratives about Metrics with Semantic Alignment and Contextual Recommendation. - Hanwen Jiang, Haitao Yang, Georgios Pavlakos, Qixing Huang:
CoFie: Learning Compact Neural Surface Representations with Coordinate Fields. - Andong Tan, Fengtao Zhou, Hao Chen:
Post-hoc Part-prototype Networks. - Ana-Andreea Stoica, Vivian Y. Nastl, Moritz Hardt:
Causal Inference from Competing Treatments. - Assaf Morag, Liron David, Eran Toch, Avishai Wool:
Improving Users' Passwords with DPAR: a Data-driven Password Recommendation System. - Bo'az Klartag, Or Ordentlich:
The strong data processing inequality under the heat flow. - Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster:
HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. - Ethan Coffman, Reagan Clark, Nhat-Tan Bui, Trong-Thang Pham, Beth Kegley, Jeremy G. Powell, Jiangchao Zhao, Ngan Le:
CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark. - Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba:
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling. - Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar:
Transfer Learning for Latent Variable Network Models. - Ye Zeng, Li Qiao, Zhen Gao, Tong Qin, Zhonghuai Wu, Sheng Chen, Mohsen Guizani:
CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels. - Joachim Ott, Zuowen Wang, Shih-Chii Liu:
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input. - Evan Becker, Stefano Soatto:
Cycles of Thought: Measuring LLM Confidence through Stable Explanations. - Thomas Hofweber, Peter Hase, Elias Stengel-Eskin, Mohit Bansal:
Are language models rational? The case of coherence norms and belief revision. - Abi Oppenheim, Federico Albanese, Esteban Feuerstein:
Investigating the Relationship Between User Specialization and Toxicity on Reddit: A Sentiment Analysis Approach. - Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia:
Pre-trained Large Language Models Use Fourier Features to Compute Addition. - Mona Ahmadian, Frank Guerin, Andrew Gilbert:
FILS: Self-Supervised Video Feature Prediction In Semantic Language Space. - Shanshan Wang, Derek F. Wong, Jingming Yao, Lidia S. Chao:
What is the Best Way for ChatGPT to Translate Poetry? - Pierluigi Cassotti, Stefano De Pascale, Nina Tahmasebi:
Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types. - Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting:
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program. - Saba Ahmadi, Siddharth Bhandari, Avrim Blum, Chen Dan, Prabhav Jain:
Distributional Adversarial Loss. - Qiang Chen, Xiangbo Su, Xinyu Zhang, Jian Wang, Jiahui Chen, Yunpeng Shen, Chuchu Han, Ziliang Chen, Weixiang Xu, Fanrong Li, Shan Zhang, Kun Yao, Errui Ding, Gang Zhang, Jingdong Wang:
LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection. - Dominik Scheuble, Chenyang Lei, Seung-Hwan Baek, Mario Bijelic, Felix Heide:
Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts. - Haoyu Han, Juanhui Li, Wei Huang, Xianfeng Tang, Hanqing Lu, Chen Luo, Hui Liu, Jiliang Tang:
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach. - Ethan N. Epperly, Maike Meier, Yuji Nakatsukasa:
Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers. - Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He:
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. - Bruno Machado Pacheco, Eduardo Camponogara:
Solving Differential Equations using Physics-Informed Deep Equilibrium Models. - Zaibin Zhang, Shiyu Tang, Yuanhang Zhang, Talas Fu, Yifan Wang, Yang Liu, Dong Wang, Jing Shao, Lijun Wang, Huchuan Lu:
AD-H: Autonomous Driving with Hierarchical Agents. - Cody Blakeney, Mansheej Paul, Brett W. Larsen, Sean Owen, Jonathan Frankle:
Does your data spark joy? Performance gains from domain upsampling at the end of training. - Sonia Bbouzidi, Ghazala Hcini, Imen Jdey, Fadoua Drira:
Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review. - Xiaobo Guo, Soroush Vosoughi:
MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization. - Luis Morales-Navarro, Yasmin B. Kafai:
Unpacking Approaches to Learning and Teaching Machine Learning in K-12 Education: Transparency, Ethics, and Design Activities. - Amir Zandieh, Majid Daliri, Insu Han:
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead. - Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen Schmidhuber:
Highway Value Iteration Networks. - Soonwoo Kwon, Sojung Kim, Minju Park, Seunghyun Lee, Kyuseok Kim:
BIPED: Pedagogically Informed Tutoring System for ESL Education. - Sanjana Ramprasad, Elisa Ferracane, Zachary C. Lipton:
Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends. - Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun:
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training. - Clément Türck, Kamel-Eddine Harabi, Adrien Pontlevy, Théo Ballet, Tifenn Hirtzlin, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Marc Bocquet, Jean-Michel Portal, Damien Querlioz:
The Logarithmic Memristor-Based Bayesian Machine. - Hong Chul Nam, Julius Berner, Anima Anandkumar:
Solving Poisson Equations using Neural Walk-on-Spheres. - Darshil Doshi, Tianyu He, Aritra Das, Andrey Gromov:
Grokking Modular Polynomials. - Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye:
Wings: Learning Multimodal LLMs without Text-only Forgetting. - Salvatore Greco, Roman Slowinski:
Representation of preferences for multiple criteria decision aiding in a new seven-valued logic. - Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Bian Jiang:
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. - Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu:
Dynamic and Adaptive Feature Generation with LLM. - Arun D. Kulkarni:
Fuzzy Convolution Neural Networks for Tabular Data Classification. - Pooja Thakar, Anil Mehta, Manisha:
Robust Prediction Model for Multidimensional and Unbalanced Datasets. - Tingxu Han, Weisong Sun, Ziqi Ding, Chunrong Fang, Hanwei Qian, Jiaxun Li, Zhenyu Chen, Xiangyu Zhang:
Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders. - Yangbin Chen, Chenyang Xu, Chunfeng Liang, Yanbao Tao, Chuan Shi:
Speech-based Clinical Depression Screening: An Empirical Study. - Jianping Zhou, Bin Lu, Zhanyu Liu, Siyu Pan, Xuejun Feng, Hua Wei, Guanjie Zheng, Xinbing Wang, Chenghu Zhou:
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data. - Nicolas M. Müller, Nicholas W. D. Evans, Hemlata Tak, Philip Sperl, Konstantin Böttinger:
Harder or Different? Understanding Generalization of Audio Deepfake Detection. - Kun Wang, Yi-Rui Yang, Wu-Jun Li:
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning. - Saber Malekmohammadi, Yaoliang Yu, Yang Cao:
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning. - Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover:
VideoPhy: Evaluating Physical Commonsense for Video Generation. - Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem:
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models. - Robert-Jeron Reifert, Hayssam Dahrouj, Alaa Alameer Ahmad, Haris Gacanin, Aydin Sezgin:
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection. - Utsab Saha, Sawradip Saha, Shaikh Anowarul Fattah, Mohammad Saquib:
Npix2Cpix: A GAN-based Image-to-Image Translation Network with Retrieval-Classification Integration for Watermark Retrieval from Historical Document Images. - Dongfang Zhao:
Stateless and Non-Interactive Order-Preserving Encryption for Outsourced Databases through Subtractive Homomorphism. - Max Hirsch, Federico Pichi, Jan S. Hesthaven:
Neural empirical interpolation method for nonlinear model reduction. - Kushagra Gupta, Xinjie Liu, Ufuk Topcu, David Fridovich-Keil:
Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games. - Oisín M. Morrison, Federico Pichi, Jan S. Hesthaven:
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications. - Elena Grigorescu, Young-San Lin, Maoyuan Song:
A Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives. - Audrey Chang, Emily Diana, Alexander Williams Tolbert:
Reconciling Heterogeneous Effects in Causal Inference. - Ulan Alsiyeu, Zhasdauren Duisebekov:
Enhancing Traffic Sign Recognition with Tailored Data Augmentation: Addressing Class Imbalance and Instance Scarcity. - Esma Mouine, Yan Liu, Lu Xiao, Rick Kazman, Xiao Wang:
Explaining the Contributing Factors for Vulnerability Detection in Machine Learning. - G. A. Kavvos:
Two-dimensional Kripke Semantics II: Stability and Completeness. - Junran Wang, Milena Radenkovic:
Optimization of Energy Consumption in Delay-Tolerant Networks. - E. Zhixuan Zeng, Yuhao Chen, Alexander Wong:
Understanding the Limitations of Diffusion Concept Algebra Through Food. - Yousef A. Radwan, Gabriel Kronberger, Stephan M. Winkler:
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming. - Harshvardhan Mestha, Tejas Agrawal, Karan Bania, Shreyas V, Yash Bhisikar:
CountCLIP - [Re] Teaching CLIP to Count to Ten. - Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi:
Ranking Manipulation for Conversational Search Engines. - Sandro Costa Magalhães, António Paulo Moreira, Filipe Neves dos Santos, Jorge Dias:
BVE + EKF: A viewpoint estimator for the estimation of the object's position in the 3D task space using Extended Kalman Filters. - Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti:
Measuring Retrieval Complexity in Question Answering Systems. - Jiaming Qu, Jaime Arguello, Yue Wang:
Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification. - Masum Hasan, Cengiz Özel, Nina Long, Alexander Martin, Samuel Potter, T. M. Tariq Adnan, Sangwu Lee, Amir Zadeh, Ehsan Hoque:
Hi5: 2D Hand Pose Estimation with Zero Human Annotation. - Yang Wu, Chenghao Wang, Ece Gumusel, Xiaozhong Liu:
Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning. - Yihan Wang, Yiwei Lu, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao:
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing. - Kent K. Yamamoto, Tanner J. Zachem, Behnam Moradkhani, Yash Chitalia, Patrick J. Codd:
Towards the Development of a Tendon-Actuated Galvanometer for Endoscopic Surgical Laser Scanning. - William Boitier, Antonella Del Pozzo, Álvaro García-Pérez, Stéphane Gazut, Pierre Jobic, Alexis Lemaire, Erwan Mahe, Aurélien Mayoue, Maxence Perion, Deepika Singh, Tuanir Franca Rezende, Sara Tucci Piergiovanni:
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical. - Cyprien Quéméneur, Soumaya Cherkaoui:
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles. - Alexander Bakumenko, Katerina Hlavácková-Schindler, Claudia Plant, Nina C. Hubig:
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs. - Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson:
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools. - Ben Shaw, Abram Magner, Kevin R. Moon:
Symmetry Discovery Beyond Affine Transformations. - Hilal Asi, Tomer Koren, Daogao Liu, Kunal Talwar:
Private Online Learning via Lazy Algorithms. - Rene Mai, Katherine Sears, Grace Roessling, Agung Julius, Sandipan Mishra:
Generalized two-point visual control model of human steering for accurate state estimation. - Yan Zhang, Sergey Prokudin, Marko Mihajlovic, Qianli Ma, Siyu Tang:
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories. - Omar Alhussein, Ning Zhang, Sami Muhaidat, Weihua Zhuang:
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation. - Dyah Adila, Shuai Zhang, Boran Han, Yuyang Wang:
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach. - Therese Biedl, Prashant Gokhale:
Finding maximum matchings in RDV graphs efficiently. - Andrea Bonito, Diane Guignard:
Approximating partial differential equations without boundary conditions. - Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi, George Varghese, Joseph E. Gonzalez, Elizabeth Polgreen, Sanjit A. Seshia:
Synthetic Programming Elicitation and Repair for Text-to-Code in Very Low-Resource Programming Languages. - Tianyang Pan, Rahul Shome, Lydia E. Kavraki:
Task and Motion Planning for Execution in the Real. - Dyah Adila, Changho Shin, Yijing Zhang, Frederic Sala:
Is Free Self-Alignment Possible? - Behzad Vahedi, Benjamin Lucas, Farnoush Banaei-Kashani, Andrew P. Barrett, Walter N. Meier, Siri Jodha S. Khalsa, Morteza Karimzadeh:
Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts. - Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen:
Decision-focused Graph Neural Networks for Combinatorial Optimization. - Aaron Bernstein, Joakim Blikstad, Thatchaphol Saranurak, Ta-Wei Tu:
Maximum Flow by Augmenting Paths in n2+o(1) Time. - Vignesh Subramanian, Rohit Kushwah, Subhajit Roy, Suguman Bansal:
Inductive Generalization in Reinforcement Learning from Specifications. - Zejun Zhang, Zhenchang Xing, Xiaoxue Ren, Qinghua Lu, Xiwei Xu:
Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models. - Liv Gorton:
The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision. - Jihyeon Seong, Sekwang Oh, Jaesik Choi:
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning. - Daiki Asami, Saku Sugawara:
What Makes Language Models Good-enough? - Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang:
3rd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation. - Weizhe Chen, Lantao Liu, Roni Khardon:
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. - Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park:
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. - Jingxuan Tu, Keer Xu, Liulu Yue, Bingyang Ye, Kyeongmin Rim, James Pustejovsky:
Linguistically Conditioned Semantic Textual Similarity. - Negin Golrezaei, Sourav Sahoo:
Bidding in Uniform Price Auctions for Value Maximizing Buyers. - Gustavo Nunes Goretkin, Joseph Carpinelli, Andy Park:
Advancing The Robotics Software Development Experience: Bridging Julia's Performance and Python's Ecosystem. - Yaozhong Gan, Renye Yan, Zhe Wu, Junliang Xing:
Reflective Policy Optimization. - Wei Li, William W. Bishop, Alice Li, Christopher Rawles, Folawiyo Campbell-Ajala, Divya Tyamagundlu, Oriana Riva:
On the Effects of Data Scale on Computer Control Agents. - Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Meta-learning for Positive-unlabeled Classification. - Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet:
A Universal Class of Sharpness-Aware Minimization Algorithms. - Ding Huang, Ting Li, Jian Huang:
Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models. - Xiang Xu, Tianchen Zhao, Zheng Zhang, Zhihua Li, Jon Wu, Alessandro Achille, Mani Srivastava:
Principles of Designing Robust Remote Face Anti-Spoofing Systems. - Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov:
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. - Keyon Vafa, Justin Y. Chen, Jon M. Kleinberg, Sendhil Mullainathan, Ashesh Rambachan:
Evaluating the World Model Implicit in a Generative Model. - Yujie Zhi, Shixin Zhu:
New MDS codes of non-GRS type and NMDS codes. - Mengyu Zhao, Xi Chen, Xin Yuan, Shirin Jalali:
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms. - Chao Liu, Cankun Hou, Tianyu Jiang, Jianting Ning, Hui Qiao, Yusen Wu:
FACOS: Enabling Privacy Protection Through Fine-Grained Access Control with On-chain and Off-chain System. - Diwen Wan, Ruijie Lu, Gang Zeng:
Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction. - Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler:
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering. - Meishan Zhang, Hao Fei, Bin Wang, Shengqiong Wu, Yixin Cao, Fei Li, Min Zhang:
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction. - Zilu Guo, Liuyang Bian, Xuan Huang, Hu Wei, Jingyu Li, Huasheng Ni:
DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation. - Fanyou Wu, Weijie Xu, Chandan K. Reddy, Srinivasan H. Sengamedu:
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation. - Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck, Philipp Gassert, Matthias Althoff:
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking. - Jinlong Xue, Yayue Deng, Yichen Han, Yingming Gao, Ya Li:
Improving Audio Codec-based Zero-Shot Text-to-Speech Synthesis with Multi-Modal Context and Large Language Model. - Liyi Zhang, Michael Y. Li, Thomas L. Griffiths:
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions. - Henrik Krauss, Kenjiro Takemura:
Enhanced Model-Free Dynamic State Estimation for a Soft Robot Finger Using an Embedded Optical Waveguide Sensor. - Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang:
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting. - Lei Liu, Xiaoyan Yang, Junchi Lei, Xiaoyang Liu, Yue Shen, Zhiqiang Zhang, Peng Wei, Jinjie Gu, Zhixuan Chu, Zhan Qin, Kui Ren:
A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions. - Phuoc Thanh Tran Ngoc, Huu Duoc Nguyen, Duc Long Le, Rui Li, Bing Sheng Chong, Hirotaka Sato:
Gait-Adaptive Navigation and Human Searching in field with Cyborg Insect. - Jinlong Xue, Yayue Deng, Yingming Gao, Ya Li:
Retrieval Augmented Generation in Prompt-based Text-to-Speech Synthesis with Context-Aware Contrastive Language-Audio Pretraining. - Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, Hai Jin:
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. - Minzhou Pan, Yi Zeng, Xue Lin, Ning Yu, Cho-Jui Hsieh, Peter Henderson, Ruoxi Jia:
JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits. - Xin Wang, Fangfang Liu, Zheng Li, Caili Guo:
Attribute-Aware Implicit Modality Alignment for Text Attribute Person Search. - Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian:
Offline Multi-Objective Optimization. - Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang, Pedro Miraldo, Suhas Lohit, Moitreya Chatterjee:
Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling. - Chun Liu, Hongguang Zhang, Kainan Zhao, Xinghai Ju, Lin Yang:
LLMEmbed: Rethinking Lightweight LLM's Genuine Function in Text Classification. - Xihan Qin, Cencheng Shen:
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python. - Jielin Qiu, William Han, Xuandong Zhao, Shangbang Long, Christos Faloutsos, Lei Li:
Evaluating Durability: Benchmark Insights into Multimodal Watermarking. - Aditya Raj Verma, Gagandeep Singh, Karnim Meghwal, Banawath Ramji, Praveen Kumar Dadheech:
Enhancing Sign Language Detection through Mediapipe and Convolutional Neural Networks (CNN). - Zihan Chen, Song Wang, Cong Shen, Jundong Li:
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. - Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian:
Quality-Diversity with Limited Resources. - Chang Yu, Yongshun Xu, Jin Cao, Ye Zhang, Yinxin Jin, Mengran Zhu:
Credit Card Fraud Detection Using Advanced Transformer Model. - Satoshi Yamamori, Jun Morimoto:
Phase-Amplitude Reduction-Based Imitation Learning. - Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li:
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data. - Nasit S. Sony, Xianzhong Ding, Mukesh Singhal:
Prioritized-MVBA: A New Approach to Design an Optimal Asynchronous Byzantine Agreement Protocol. - Renzhi Yuan, Xinyi Chu, Tao Shan, Mugen Peng:
Monte-Carlo Integration Based Multiple-Scattering Channel Modeling for Ultraviolet Communications in Turbulent Atmosphere. - Fang Chen, Gourav Datta, Mujahid Al Rafi, Hyeran Jeon, Meng Tang:
ReDistill: Residual Encoded Distillation for Peak Memory Reduction. - Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui Sun, Hui Cai, Shuhan Luo, Zhiqiang Zhang:
Efficient Knowledge Infusion via KG-LLM Alignment. - Devichand Budagam, Ayush Kumar, Sayan Ghosh, Anuj Shrivastav, Azamat Zhanatuly Imanbayev, Iskander Rafailovich Akhmetov, Dmitrii I. Kaplun, Sergey Antonov, Artem Rychenkov, Gleb Cyganov, Aleksandr Sinitca:
Instance Segmentation and Teeth Classification in Panoramic X-rays. - Shuo Huang, William MacLean, Xiaoxi Kang, Anqi Wu, Lizhen Qu, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari:
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human. - Anna Scaglione, Nurullah Karakoç:
Stochastic Dynamic Network Utility Maximization with Application to Disaster Response. - Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai:
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. - Vatsal Kedia, Vivek S. Pinnamaraju, Dinesh Patil:
Model fusion for efficient learning of nonlinear dynamical systems. - Jianing Hao, Zhuowen Liang, Chunting Li, Yuyu Luo, Wei Zeng:
VisLTR: Visualization-in-the-Loop Table Reasoning. - Federico Sichetti, Zizhou Huang, Marco Attene, Denis Zorin, Enrico Puppo, Daniele Panozzo:
High-Order Continuous Geometrical Validity. - Jingyao Li, Pengguang Chen, Sitong Wu, Chuanyang Zheng, Hong Xu, Jiaya Jia:
RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models. - Steven J. Kuntz, James B. Rawlings:
Maximum Likelihood Identification of Uncontrollable Linear Time-Invariant Models for Offset-Free Control. - Jie Ding, Cheng Wang, Shenggao Zhou:
A second-order accurate, original energy dissipative numerical scheme for chemotaxis and its convergence analysis. - Tianxiang Lyu, Mitsuhisa Sato, Shigeki Aoki, Ryutaro Himeno, Zhe Sun:
CORTEX: Large-Scale Brain Simulator Utilizing Indegree Sub-Graph Decomposition on Fugaku Supercomputer. - Minyu Feng, Xiangxi Li, Yuhan Li, Qin Li:
The impact of nodes of information dissemination on epidemic spreading in dynamic multiplex networks. - Xinhao Yao, Xiaolin Hu, Shenzhi Yang, Yong Liu:
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective. - Sinan Koparan, Bahman Javadi:
DeepRacer on Physical Track: Parameters Exploration and Performance Evaluation. - Yang Hou, Zhenghua Li:
Character-Level Chinese Dependency Parsing via Modeling Latent Intra-Word Structure. - Loc X. Nguyen, Kitae Kim, Ye Lin Tun, Sheikh Salman Hassan, Yan Kyaw Tun, Zhu Han, Choong Seon Hong:
Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation. - Faisal Tareque Shohan, Mir Tafseer Nayeem, Samsul Islam, Abu Ubaida Akash, Shafiq Joty:
XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags. - Ruiyang Qin, Dancheng Liu, Zheyu Yan, Zhaoxuan Tan, Zixuan Pan, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Jinjun Xiong, Yiyu Shi:
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices. - Tsubasa Harada, Toshiya Itoh:
A Nearly Optimal Deterministic Algorithm for Online Transportation Problem. - Mingen Pan:
Count-mean Sketch as an Optimized Framework for Frequency Estimation with Local Differential Privacy. - Ijaz Ahmad, Hafiz Faheem Shahid, Ijaz Ahmad, Johirul Islam, Kazi Nymul Haque, Erkki Harjula:
Adaptive Lightweight Security for Performance Efficiency in Critical Healthcare Monitoring. - Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang:
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction. - Kohei Makino, Makoto Miwa, Yutaka Sasaki:
End-to-End Trainable Soft Retriever for Low-resource Relation Extraction. - Daniel Galvez, Vladimir Bataev, Hainan Xu, Tim Kaldewey:
Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPU. - Naibin Gu, Peng Fu, Xiyu Liu, Bowen Shen, Zheng Lin, Weiping Wang:
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning. - Yue Xu, Zhilin Lin, Yusong Qiu, Cewu Lu, Yong-Lu Li:
Low-Rank Similarity Mining for Multimodal Dataset Distillation. - Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao:
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models. - Nan Zhang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan:
Enhanced Semantic Segmentation Pipeline for WeatherProof Dataset Challenge. - Joel Daniel Andersson, Monika Henzinger, Rasmus Pagh, Teresa Anna Steiner, Jalaj Upadhyay:
Continual Counting with Gradual Privacy Expiration. - Yueying Lou, Qichun Wang:
Determining the Weight Spectrum of the Reed-Muller Codes RM(m-6, m). - Lin Lu, Hai Yan, Zenghui Yuan, Jiawen Shi, Wenqi Wei, Pin-Yu Chen, Pan Zhou:
AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens. - Yanming Liu, Xinyue Peng, Yuwei Zhang, Jiannan Cao, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du:
Tool-Planner: Dynamic Solution Tree Planning for Large Language Model with Tool Clustering. - Jiaxin Gao, Qinglong Cao, Yuntian Chen, Dongxiao Zhang:
Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting. - Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli:
How to Scale Inverse RL to Large State Spaces? A Provably Efficient Approach. - Ning Cheng, Changhao Guan, Jing Gao, Weihao Wang, You Li, Fandong Meng, Jie Zhou, Bin Fang, Jinan Xu, Wenjuan Han:
Touch100k: A Large-Scale Touch-Language-Vision Dataset for Touch-Centric Multimodal Representation. - Jiaming Zhou, Shiwan Zhao, Hui Wang, Tian-Hao Zhang, Haoqin Sun, Xuechen Wang, Yong Qin:
Improving Zero-Shot Chinese-English Code-Switching ASR with kNN-CTC and Gated Monolingual Datastores. - Dan Zhang, Sining Zhoubian, Yisong Yue, Yuxiao Dong, Jie Tang:
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search. - Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves:
Amortized Equation Discovery in Hybrid Dynamical Systems. - Ivica Kopriva, Damir Sersic:
Subspace Clustering in Wavelet Packets Domain. - Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, Dinh C. Nguyen, Kandaraj Piamrat, Guido Marchetto, Quoc-Viet Pham:
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions. - Mayank Kumar Singh, Naoya Takahashi, Wei-Hsiang Liao, Yuki Mitsufuji:
SilentCipher: Deep Audio Watermarking. - Yu-Hsueh Fang, Chia-Yen Lee:
Predictability Analysis of Regression Problems via Conditional Entropy Estimations. - Aswin RRV, Nemika Tyagi, Md Nayem Uddin, Neeraj Varshney, Chitta Baral:
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. - Wanhu Nie:
Malware Classification Based on Image Segmentation. - Duanyu Li, Huijun Wu, Min Xie, Xugang Wu, Zhenwei Wu, Wenzhe Zhang:
Exploiting Global Graph Homophily for Generalized Defense in Graph Neural Networks. - Jixiang Wan, Xudong Zhang, Shuzhou Dong, Yuwei Zhang, Yuchen Yang, Ruoxi Wu, Ye Jiang, Jijunnan Li, Jinquan Lin, Ming Yang:
Monocular Localization with Semantics Map for Autonomous Vehicles. - Bing Huang, Chen Chen, Kwok-Yan Lam, Fuqun Huang:
Proactive Detection of Physical Inter-rule Vulnerabilities in IoT Services Using a Deep Learning Approach. - Shuai Zhang, Guanping Xiao, Jun Wang, Huashan Lei, Yepang Liu, Yulei Sui, Zheng Zheng:
PCART: Automated Repair of Python API Parameter Compatibility Issues. - Jianben He, Xingbo Wang, Shiyi Liu, Guande Wu, Cláudio Silva, Huamin Qu:
POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Models. - Nikola Milosevic, Gesine Müller, Jan Huisken, Nico Scherf:
Open Problem: Active Representation Learning. - Huaiyuan Ying, Zijian Wu, Yihan Geng, Jiayu Wang, Dahua Lin, Kai Chen:
Lean Workbook: A large-scale Lean problem set formalized from natural language math problems. - Yongan Zhang, Junfeng Zhao, Jian Li, Xuanran Wang, Youzhuang Sun, Yuntian Chen, Dongxiao Zhang:
A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM. - Maximilien Dreveton, Charbel Chucri, Matthias Grossglauser, Patrick Thiran:
Why the Metric Backbone Preserves Community Structure. - Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai:
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. - Eden Avnat, Michal Levy, Daniel Herstain, Elia Yanko, Daniel Ben Joya, Michal Tzuchman Katz, Dafna Eshel, Sahar Laros, Yael Dagan, Shahar Barami, Joseph Mermelstein, Shahar Ovadia, Noam Shomron, Varda Shalev, Raja-Elie E. Abdulnour:
Performance of large language models in numerical vs. semantic medical knowledge: Benchmarking on evidence-based Q&As. - Stefan Gerd Fritsch, Cennet Oguz, Vítor Fortes Rey, Lala Shakti Swarup Ray, Maximilian Kiefer-Emmanouilidis, Paul Lukowicz:
MuJo: Multimodal Joint Feature Space Learning for Human Activity Recognition. - Noah Gießing, Madhurima Deb, Ankit Satpute, Moritz Schubotz, Olaf Teschke:
Reducing the climate impact of data portals: a case study. - Miguel A. Ferrer, Josep A. Calduch-Giner, Moisés Díaz Cabrera, Javier Sosa, Enrique Rosell-Moll, Judith Santana Abril, Graciela Santana Sosa, Tomás Bautista Delgado, Cristina Carmona, Juan Antonio Martos-Sitcha, Enric Cabruja, Juan Manuel Afonso, Aurelio Vega, Manuel Lozano, Juan Antonio Montiel-Nelson, Jaume Pérez-Sánchez:
From operculum and body tail movements to different coupling of physical activity and respiratory frequency in farmed gilthead sea bream and European sea bass. Insights on aquaculture biosensing. - Shojiro Yamabe, Kazuto Fukuchi, Ryoma Senda, Jun Sakuma:
Behavior-Targeted Attack on Reinforcement Learning with Limited Access to Victim's Policy. - Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi:
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect. - Senran Fan, Zhicheng Bao, Chen Dong, Haotai Liang, Xiaodong Xu, Ping Zhang:
Semantic Similarity Score for Measuring Visual Similarity at Semantic Level. - Yixuan Yang, Junru Lu, Zixiang Zhao, Zhen Luo, James J. Q. Yu, Victor Sanchez, Feng Zheng:
LLplace: The 3D Indoor Scene Layout Generation and Editing via Large Language Model. - Jiahao Fang, Huizheng Wang, Qize Yang, Dehao Kong, Xu Dai, Jinyi Deng, Yang Hu, Shouyi Yin:
PALM: A Efficient Performance Simulator for Tiled Accelerators with Large-scale Model Training. - Rachel Wicks, Matt Post, Philipp Koehn:
Recovering document annotations for sentence-level bitext. - Joshua Ransiek, Johannes Plaum, Jacob Langner, Eric Sax:
GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation. - Chen Wang, Minpeng Liao, Zhongqiang Huang, Junhong Wu, Chengqing Zong, Jiajun Zhang:
BLSP-Emo: Towards Empathetic Large Speech-Language Models. - Jiaming Zhao, Wenbo Qiao, Peng Zhang, Hui Gao:
Quantum Implicit Neural Representations. - Xiaocun Liao, Chao Zhou, Junfeng Fan, Zhuoliang Zhang, Zhaoran Yin, Liangwei Deng:
Energy-storing analysis and fishtail stiffness optimization for a wire-driven elastic robotic fish. - Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan:
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. - Shoutao Guo, Shaolei Zhang, Yang Feng:
Decoder-only Streaming Transformer for Simultaneous Translation. - Minghao Yang, Linlin Gao, Pengyuan Li, Wenbo Li, Yihong Dong, Zhiying Cui:
Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure. - Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Ming Ding, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang:
Memorization in deep learning: A survey. - Matthias Sperber, Ondrej Bojar, Barry Haddow, Dávid Javorský, Xutai Ma, Matteo Negri, Jan Niehues, Peter Polák, Elizabeth Salesky, Katsuhito Sudoh, Marco Turchi:
Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation. - Ziyun Cui, Chang Lei, Wen Wu, Yinan Duan, Diyang Qu, Ji Wu, Runsen Chen, Chao Zhang:
Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models. - Patrick Henning, Mahima Yadav:
Convergence of a Riemannian gradient method for the Gross-Pitaevskii energy functional in a rotating frame. - Dimitrios Samakovlis, Stefano Albini, Rubén Rodríguez Álvarez, Denisa-Andreea Constantinescu, Pasquale Davide Schiavone, Miguel Peón Quirós, David Atienza:
BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables. - Zhenyao He, Wei Xu, Hong Shen, Yonina C. Eldar, Xiaohu You:
MSE-Based Training and Transmission Optimization for MIMO ISAC Systems. - Bahareh Tasdighi, Nicklas Werge, Yi-Shan Wu, Melih Kandemir:
Exploring Pessimism and Optimism Dynamics in Deep Reinforcement Learning. - Beyza Türkmen, Ramazan Tarik Türksoy, Hasan Saribas, Hakan Cevikalp:
Polyhedral Conic Classifier for CTR Prediction. - Anushka Singh, Ananya B. Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? - Yaozhong Gan, Renye Yan, Xiaoyang Tan, Zhe Wu, Junliang Xing:
Transductive Off-policy Proximal Policy Optimization. - Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, Reut Tsarfaty:
HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew. - Anshul Gupta, Pierre Vuillecard, Arya Farkhondeh, Jean-Marc Odobez:
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following. - Zhehua Zhou, Xuan Xie, Jiayang Song, Zhan Shu, Lei Ma:
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model. - Yang Yang, Chao Yang, Boyang Li, Yinghao Fu, Shuang Li:
Neuro-Symbolic Temporal Point Processes. - Firoj Alam, Abul Hasnat, Fatema Ahmed, Md. Arid Hasan, Maram Hasanain:
ArMeme: Propagandistic Content in Arabic Memes. - Shan Li, Lu Yang, Pu Cao, Liulei Li, Huadong Ma:
Frequency-based Matcher for Long-tailed Semantic Segmentation. - Osamah S. Badarneh, Daniel Benevides da Costa:
The ɑ-Lomax Distribution: A Compound Channel Model. - Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp, Mathias Niepert:
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations. - Birgit Kühbacher, Fernando Iglesias-Suarez, Niki Kilbertus, Veronika Eyring:
Towards Physically Consistent Deep Learning For Climate Model Parameterizations. - Eoghan Cunningham, Derek Greene:
Knowledge Transfer, Knowledge Gaps, and Knowledge Silos in Citation Networks. - Kancharla Nikhilesh Bhagavan, Macharla Sri Vardhan, Madamanchi Ashok Chowdary, Shahbaz Khan:
Engineering Semi-streaming DFS algorithms. - Tian Wang, Chuang Wang:
Latent Neural Operator for Solving Forward and Inverse PDE Problems. - Khushboo Agarwal, Konstantin Avrachenkov, Veeraruna Kavitha, Raghupati Vyas:
Balancing rationality and social influence: Alpha-rational Nash equilibrium in games with herding. - Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen:
Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art. - Omar G. Younis, Luca Corinzia, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Matteo Turchetta:
Breeding Programs Optimization with Reinforcement Learning. - Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li:
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation. - Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong:
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. - Lars Veefkind, Gabriele Cesa:
A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs. - Michael T. Pearce, Thomas Dooms, Alice Rigg:
Weight-based Decomposition: A Case for Bilinear MLPs. - Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou:
UltraMedical: Building Specialized Generalists in Biomedicine. - Neemesh Yadav, Sarah Masud, Vikram Goyal, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech. - Kouki Kimizuka, Saman Azhari, Shoshi Tokuno, Ahmet Karacali, Yuki Usami, Shuhei Ikemoto, Hakaru Tamukoh, Hirofumi Tanaka:
Haptic in-sensor computing device made of carbon nanotube-polydimethylsiloxane nanocomposites. - Wei Tang, Yixin Cao, Jiahao Ying, Bo Wang, Yuyue Zhao, Yong Liao, Pengyuan Zhou:
A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential. - Justus Henneberg, Felix Schuhknecht, Rosina Kharal, Trevor Brown:
More Bang For Your Buck(et): Fast and Space-efficient Hardware-accelerated Coarse-granular Indexing on GPUs. - Emilio Ottonello, Pierre-Alexandre Hugron, Alberto Parmiggiani, Sylvain Lefebvre:
QuickCurve: revisiting slightly non-planar 3D printing. - Daniel Potts, Fabian Taubert:
Operator learning based on sparse high-dimensional approximation. - Lin Liu, Jian Zhao, Cheng Hu, Zhengtao Cao, Youpeng Zhao, Zhenbin Ye, Meng Meng, Wenjun Wang, Zhaofeng He, Houqiang Li, Xia Lin, Lanxiao Huang:
Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning. - Florian Karl, Lukas Malte Kemeter, Gabriel Dax, Paulina Sierak:
Position: Embracing Negative Results in Machine Learning. - Daniele Boffi, Fabio Credali, Lucia Gastaldi:
Quadrature error estimates on non-matching grids in a fictitious domain framework for fluid-structure interaction problems. - Sofija Engelson, Jan Ehrhardt, Timo Kepp, Joshua Niemeijer, Heinz Handels:
LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas. - Ankan Mullick, Sombit Bose, Rounak Saha, Ayan Kumar Bhowmick, Pawan Goyal, Niloy Ganguly, Prasenjit Dey, Ravi Kokku:
On The Persona-based Summarization of Domain-Specific Documents. - Oskar Kedzierski:
Generalized Wedderburn Rank Reduction. - Hadi Askari, Anshuman Chhabra, Muhao Chen, Prasant Mohapatra:
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing. - Angelo Singh, Joseph O'Hagan:
Exploring Topic Modelling of User Reviews as a Monitoring Mechanism for Emergent Issues Within Social VR Communities. - Rudolf Reiter, Andrea Ghezzi, Katrin Baumgärtner, Jasper Hoffmann, Robert D. McAllister, Moritz Diehl:
AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control. - Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Kristian Kersting:
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning. - Kun Song, Zhiquan Tan, Bochao Zou, Huimin Ma, Weiran Huang:
Unveiling the Dynamics of Information Interplay in Supervised Learning. - Ruipu Wu, Jifei Che, Han Li, Chengjing Wu, Ting Liu, Luoqi Liu:
3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation. - Xinyu Wang, Sai Dileep Koneru, Sarah Rajtmajer:
The Failed Migration of Academic Twitter. - Zhenyu Wang, Daniel Cohen-Or, Min Lu:
A Versatile Collage Visualization Technique. - Yuki Nagahama:
Interactive zoom display in smartphone-based digital holographic microscope for 3D imaging. - Kayo Yin, Terry Regier, Dan Klein:
American Sign Language Handshapes Reflect Pressures for Communicative Efficiency. - Caimei Yang, Qihang Yang, Xingzhi Su, Chenxi Fu, Xiaoyi Wang, Ying Yan, Zaijiang Man:
The syntax-semantics interface in a child's path: A study of 3- to 11-year-olds' elicited production of Mandarin recursive relative clauses. - Ruijie Li, Chenyang Zhang, Huajun Chai, Lingyun Ying, Haixin Duan, Jun Tao:
PowerPeeler: A Precise and General Dynamic Deobfuscation Method for PowerShell Scripts. - Yoann Poupart:
Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents. - Alameen Najjar:
Pre-trained Transformer Uncovers Meaningful Patterns in Human Mobility Data. - Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao:
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. - Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis. - Wei Shao, Yufan Kang, Ziyan Peng, Xiao Xiao, Lei Wang, Yuhui Yang, Flora D. Salim:
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning. - Johan Cederbladh, Antonio Cicchetti:
A Road-Map for Transferring Software Engineering methods for Model-Based Early V&V of Behaviour to Systems Engineering. - Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong:
Road Network Representation Learning with the Third Law of Geography. - Danielle Kapon, Michael Fire, Shai Gordin:
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia. - Clemens Damke, Eyke Hüllermeier:
Linear Opinion Pooling for Uncertainty Quantification on Graphs. - Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann:
Energy-based Epistemic Uncertainty for Graph Neural Networks. - Divij Handa, Pavel Dolin, Shrinidhi Kumbhar, Chitta Baral, Tran Cao Son:
ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints. - Lenka Galcíková, Juraj Oravec:
Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis. - Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet:
Semmeldetector: Application of Machine Learning in Commercial Bakeries. - Cong Liu, David Ruhe, Patrick Forré:
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks. - Azadeh Alavi, Sanduni Jayasinghe:
Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring. - Sergio Calo, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia Aguas:
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently. - Lisa-Marie Michels, Aleksandra Petkova, Marcel Richter, Andreas Farley, Daniel Graziotin, Stefan Wagner:
Overwhelmed Software Developers. - Christopher Liscio, Daniel G. Brown:
Watching Popular Musicians Learn by Ear: A Hypothesis-Generating Study of Human-Recording Interactions in YouTube Videos. - Luis Víctor Dieulefait, Jorge Jiménez Urróz:
Computing ϕ for an RSA module with a single quantum query. - Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie:
Online Learning in Betting Markets: Profit versus Prediction. - Jisu Shin, Hoyun Song, Huije Lee, Soyeong Jeong, Jong C. Park:
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models. - Markus Borg, Daniel Graziotin:
Requirements for Organizational Resilience: Engineering Developer Happiness. - Muthu Chidambaram, Rong Ge:
Reassessing How to Compare and Improve the Calibration of Machine Learning Models. - Yinting Wu, Pai Peng, Bo Cai, Le Li:
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection. - Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Dayong Ye, Shui Yu, Wanlei Zhou:
Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning. - Pierre Clavier, Emmanuel Rachelson, Erwan Le Pennec, Matthieu Geist:
Bootstrapping Expectiles in Reinforcement Learning. - Lovis Heindrich, Falk Lieder:
Leveraging automatic strategy discovery to teach people how to select better projects. - William Hunt, Sarvapali D. Ramchurn, Mohammad Divband Soorati:
A Survey of Language-Based Communication in Robotics. - Abdullah Akgül, Manuel Haußmann, Melih Kandemir:
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning. - Jiachen Hu, Qinghua Liu, Chi Jin:
On Limitation of Transformer for Learning HMMs. - Tam Thuc Do, Parham Eftekhar, Seyed Alireza Hosseini, Gene Cheung, Philip A. Chou:
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors. - Leo Gao, Tom Dupré la Tour, Henk Tillman, Gabriel Goh, Rajan Troll, Alec Radford, Ilya Sutskever, Jan Leike, Jeffrey Wu:
Scaling and evaluating sparse autoencoders. - Zixi Chen, Xuyang Ren, Gastone Ciuti, Cesare Stefanini:
Data-driven Explainable Controller for Soft Robots based on Recurrent Neural Networks. - Jan Martinu, Petr Simánek:
Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models. - Zhongliang Jiang, Yunfeng Kang, Yuan Bi, Xuesong Li, Chenyang Li, Nassir Navab:
Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging. - Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai:
How Far Can We Compress Instant-NGP-Based NeRF? - Sebastiano Cultrera di Montesano, Ondrej Draganov, Herbert Edelsbrunner, Morteza Saghafian:
Chromatic Topological Data Analysis. - Tim Salimans, Thomas Mensink, Jonathan Heek, Emiel Hoogeboom:
Multistep Distillation of Diffusion Models via Moment Matching. - Sofya Maslovskaya, Sina Ober-Blöbaum:
Symplectic Methods in Deep Learning. - Yifeng Wang, Weipeng Li, Thomas Pearce, Haohan Wang:
From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks. - Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri:
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. - Adil Soubki, Owen Rambow:
Intention and Face in Dialog. - Jie Zhao, Zhitong Xiong, Xiao Xiang Zhu:
UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mapping. - Can Yaras, Peng Wang, Laura Balzano, Qing Qu:
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. - Chaoxu Pang, Yixuan Cao, Chunhao Yang, Ping Luo:
Uncovering Limitations of Large Language Models in Information Seeking from Tables. - Wei Chen, Yuxue Ren, Na Lei, Zhongxuan Luo, Xianfeng Gu:
Global Parameterization-based Texture Space Optimization. - Eleonora Mancini, Ana Tanevska, Andrea Galassi, Alessio Galatolo, Federico Ruggeri, Paolo Torroni:
Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders Research. - Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini:
Are We Done with MMLU? - Xin Cai, Hailong Zhang, Chenchen Wang, Wentao Liu, Jinwei Gu, Tianfan Xue:
LenslessFace: An End-to-End Optimized Lensless System for Privacy-Preserving Face Verification. - Julian Berberich, Frank Allgöwer:
An overview of systems-theoretic guarantees in data-driven model predictive control. - Shubham Kumar Nigam, Anurag Sharma, Danush Khanna, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya:
Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts. - Xuanfei Ren, Tianyuan Jin, Pan Xu:
Optimal Batched Linear Bandits. - Drew Linsley, Peisen Zhou, Alekh Karkada Ashok, Akash Nagaraj, Gaurav Gaonkar, Francis E. Lewis, Zygmunt Pizlo, Thomas Serre:
The 3D-PC: a benchmark for visual perspective taking in humans and machines. - Yuexuan Kong, Viet-Anh Tran, Romain Hennequin:
STraDa: A Singer Traits Dataset. - Roman Sokolovskii, Parv Agarwal, Luis Alberto Croquevielle, Zijian Zhou, Thomas Heinis:
Coding Over Coupon Collector Channels for Combinatorial Motif-Based DNA Storage. - Luana Bulla, Aldo Gangemi, Misael Mongiovì:
Do Language Models Understand Morality? Towards a Robust Detection of Moral Content. - Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James:
Redundancy-aware Action Spaces for Robot Learning. - Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Lorraine Li:
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures. - Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Johnson:
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. - Maiju Karjalainen, Esther Galbrun, Pauli Miettinen:
Fast Redescription Mining Using Locality-Sensitive Hashing. - Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Dingwen Yang, Chenyang Liao, Xin Guo, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang:
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments. - Steven Arzt, Linda Schreiber, Dominik Appelt:
Position: How Regulation Will Change Software Security Research. - Yihe Dong, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister:
Learned Feature Importance Scores for Automated Feature Engineering. - Takuhiro Kaneko:
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization. - Lars Hillebrand, Prabhupad Pradhan, Christian Bauckhage, Rafet Sifa:
Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness. - Da Li, Guoqiang Zhao, Houjun Sun, Jiacheng Bao:
Sparse Multi-baseline SAR Cross-modal 3D Reconstruction of Vehicle Targets. - Demetros Aschu, Robinroy Peter, Sausar Karaf, Aleksey Fedoseev, Dzmitry Tsetserukou:
MARLander: A Local Path Planning for Drone Swarms using Multiagent Deep Reinforcement Learning. - Alicja Ziarko, Albert Q. Jiang, Bartosz Piotrowski, Wenda Li, Mateja Jamnik, Piotr Milos:
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe. - Anna Ivagnes, Giovanni Stabile, Gianluigi Rozza:
Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms. - Feilong Jiang, Xiaonan Hou, Min Xia:
Element-wise Multiplication Based Physics-informed Neural Networks. - Peiqi Sui, Eamon Duede, Sophie Wu, Richard Jean So:
Confabulation: The Surprising Value of Large Language Model Hallucinations. - Mouad Klai, Olivier Monga, Mohamed Soufiane Jouini, Valérie Pot:
A Voxel-based Approach for Simulating Microbial Decomposition in Soil: Comparison with LBM and Improvement of Morphological Models. - Zhicheng Cai, Qiu Shen:
Encoding Semantic Priors into the Weights of Implicit Neural Representation. - Andoni Rodriguez, Guy Amir, Davide Corsi, Cesar Sanchez, Guy Katz:
Shield Synthesis for LTL Modulo Theories. - Bartlomiej Bosek, Aleksander Katan:
A Note About Majority Colorings of Countable DAGs. - Shangqing Tu, Kejian Zhu, Yushi Bai, Zijun Yao, Lei Hou, Juanzi Li:
DICE: Detecting In-distribution Contamination in LLM's Fine-tuning Phase for Math Reasoning. - Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin:
Towards Principled Superhuman AI for Multiplayer Symmetric Games. - Chun-Hsien Lin, Pu-Jen Cheng:
Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model. - Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
Diffusion-based image inpainting with internal learning. - Haotian Zhang, Keyan Chen, Chenyang Liu, Hao Chen, Zhengxia Zou, Zhenwei Shi:
CDMamba: Remote Sensing Image Change Detection with Mamba. - Adam Jelley, Yuhan Cao, David Bignell, Sam Devlin, Tabish Rashid:
Aligning Agents like Large Language Models. - Viktor Skoblin, Felix Höfling, Steffen Christgau:
Gaining Cross-Platform Parallelism for HAL's Molecular Dynamics Package using SYCL. - Yuanyi Ren, Haoran Ye, Hanjun Fang, Xin Zhang, Guojie Song:
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models. - Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe:
mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans. - Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell:
What Do Language Models Learn in Context? The Structured Task Hypothesis. - Yifan Tang, Yihao Wang, Ru Zhang, Jianyi Liu:
Linguistic Steganalysis via LLMs: Two Modes for Efficient Detection of Strongly Concealed Stego. - Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu:
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard. - Shaina Raza, Mizanur Rahman, Michael R. Zhang:
BEADs: Bias Evaluation Across Domains. - Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. - Tamer Ahmed Eltaras, Qutaibah M. Malluhi, Alessandro Savino, Stefano Di Carlo, Adnan Qayyum, Junaid Qadir:
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients. - Larisa Markeeva, Sean McLeish, Borja Ibarz, Wilfried Bounsi, Olga Kozlova, Alex Vitvitskyi, Charles Blundell, Tom Goldstein, Avi Schwarzschild, Petar Velickovic:
The CLRS-Text Algorithmic Reasoning Language Benchmark. - Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán:
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data. - Aidan Kierans, Avijit Ghosh, Hananel Hazan, Shiri Dori-Hacohen:
Quantifying Misalignment Between Agents. - Bernardo Leite, Tomás Freitas Osório, Henrique Lopes Cardoso:
FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced Languages. - Maxence Faldor, Antoine Cully:
Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity. - Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti:
Understanding Information Storage and Transfer in Multi-modal Large Language Models. - Axel Levy, Eric R. Chan, Sara Fridovich-Keil, Frédéric Poitevin, Ellen D. Zhong, Gordon Wetzstein:
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors. - Max Müller-Eberstein, Dianna Yee, Karren D. Yang, Gautam Varma Mantena, Colin Lea:
Hypernetworks for Personalizing ASR to Atypical Speech. - Cheng Xu, Shuhao Guan, Derek Greene, M. Tahar Kechadi:
Benchmark Data Contamination of Large Language Models: A Survey. - Zhicheng Cai:
Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals. - Haosen Yang, Chenhao Zhang, Wenqing Wang, Marco Volino, Adrian Hilton, Li Zhang, Xiatian Zhu:
Gaussian Splatting with Localized Points Management. - Ruihe Wang, Yukang Cao, Kai Han, Kwan-Yee K. Wong:
A Survey on 3D Human Avatar Modeling - From Reconstruction to Generation. - Salvatore Esposito, Qingshan Xu, Kacper Kania, Charlie Hewitt, Octave Mariotti, Lohit Petikam, Julien Valentin, Arno Onken, Oisin Mac Aodha:
GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions. - Charles Lu, Mohammad Mohammadi Amiri, Ramesh Raskar:
Data Measurements for Decentralized Data Markets. - Fabio Valerio Massoli, Tim Bakker, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi:
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization. - Junjie Zhou, Yan Shu, Bo Zhao, Boya Wu, Shitao Xiao, Xi Yang, Yongping Xiong, Bo Zhang, Tiejun Huang, Zheng Liu:
MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding. - Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João G. M. Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Velickovic:
Transformers need glasses! Information over-squashing in language tasks. - Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel:
Open-Endedness is Essential for Artificial Superhuman Intelligence. - Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui:
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. - Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian R. Bartoldson, Bhavya Kailkhura, Atul Prakash:
ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling. - Xiang Ji, Sanjeev Kulkarni, Mengdi Wang, Tengyang Xie:
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models. - Han Zhang, Akram Bin Sediq, Ali Afana, Melike Erol-Kantarci:
Generative AI-in-the-loop: Integrating LLMs and GPTs into the Next Generation Networks.
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