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Publication search results
found 688 matches
- 2020
- Zhuosheng Zhang
, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, Hai Zhao:
Neural Machine Translation with Universal Visual Representation. ICLR 2020 - Pan Xu, Felicia Gao, Quanquan Gu:
Sample Efficient Policy Gradient Methods with Recursive Variance Reduction. ICLR 2020 - Wouter Kool, Herke van Hoof, Max Welling:
Estimating Gradients for Discrete Random Variables by Sampling without Replacement. ICLR 2020 - Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal:
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. ICLR 2020 - Alejandro Molina, Patrick Schramowski, Kristian Kersting:
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. ICLR 2020 - Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang:
Influence-Based Multi-Agent Exploration. ICLR 2020 - Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang:
Learning Nearly Decomposable Value Functions Via Communication Minimization. ICLR 2020 - Chen-Yu Hsu, Abbas Zeitoun, Guang-He Lee, Dina Katabi, Tommi S. Jaakkola:
Self-Supervised Learning of Appliance Usage. ICLR 2020 - Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang:
Adaptive Structural Fingerprints for Graph Attention Networks. ICLR 2020 - Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu:
Improving Adversarial Robustness Requires Revisiting Misclassified Examples. ICLR 2020 - Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon:
Conditional Learning of Fair Representations. ICLR 2020 - Ali Jahanian, Lucy Chai, Phillip Isola:
On the "steerability" of generative adversarial networks. ICLR 2020 - Sen Wu, Hongyang R. Zhang
, Christopher Ré:
Understanding and Improving Information Transfer in Multi-Task Learning. ICLR 2020 - Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner:
Convolutional Conditional Neural Processes. ICLR 2020 - Zhiyuan Li
, Sanjeev Arora:
An Exponential Learning Rate Schedule for Deep Learning. ICLR 2020 - Ye Yuan, Kris M. Kitani:
Diverse Trajectory Forecasting with Determinantal Point Processes. ICLR 2020 - Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang:
Progressive Learning and Disentanglement of Hierarchical Representations. ICLR 2020 - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. ICLR 2020 - Yang Yang, Yaxiong Yuan, Avraam Chatzimichailidis, Ruud J. G. van Sloun, Lei Lei, Symeon Chatzinotas:
ProxSGD: Training Structured Neural Networks under Regularization and Constraints. ICLR 2020 - Hao Zhang, Bo Chen, Long Tian, Zhengjue Wang, Mingyuan Zhou
:
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling. ICLR 2020 - Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si:
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. ICLR 2020 - Tameem Adel, Han Zhao, Richard E. Turner:
Continual Learning with Adaptive Weights (CLAW). ICLR 2020 - Amir Hosein Khas Ahmadi, Kaveh Hassani, Parsa Moradi, Leo Lee, Quaid Morris:
Memory-Based Graph Networks. ICLR 2020 - Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh:
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation. ICLR 2020 - Abdullah Al-Dujaili, Una-May O'Reilly:
Sign Bits Are All You Need for Black-Box Attacks. ICLR 2020 - Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Meta-learning curiosity algorithms. ICLR 2020 - Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling:
Gradient $\ell_1$ Regularization for Quantization Robustness. ICLR 2020 - Prithviraj Ammanabrolu
, Matthew J. Hausknecht:
Graph Constrained Reinforcement Learning for Natural Language Action Spaces. ICLR 2020 - Dongsheng An, Yang Guo, Na Lei, Zhongxuan Luo, Shing-Tung Yau, Xianfeng Gu:
Ae-OT: a New Generative Model based on Extended Semi-discrete Optimal transport. ICLR 2020 - Christof Angermüller, David Dohan, David Belanger, Ramya Deshpande, Kevin Murphy, Lucy J. Colwell:
Model-based reinforcement learning for biological sequence design. ICLR 2020
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