Papers
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang, Peng Li
Guiding Deep Molecular Optimization with Genetic Exploration
Sungsoo Ahn, Junsu Kim, Hankook Lee et al.
Rethinking Importance Weighting for Deep Learning under Distribution Shift
Tongtong Fang, Nan Lu, Gang Niu et al.
Implicit Graph Neural Networks
Fangda Gu, Heng Chang, Wenwu Zhu et al.
On the Trade-off between Adversarial and Backdoor Robustness
Cheng-Hsin Weng, Yan-Ting Lee, Shan-Hung (Brandon) Wu
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
Quynh N Nguyen, Marco Mondelli
A Novel Approach for Constrained Optimization in Graphical Models
Sara Rouhani, Tahrima Rahman, Vibhav Gogate
Counterexample-Guided Learning of Monotonic Neural Networks
Aishwarya Sivaraman, Golnoosh Farnadi, Todd Millstein et al.
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning
Bhavya Kailkhura, Jayaraman Thiagarajan, Qunwei Li et al.
High-Fidelity Generative Image Compression
Fabian Mentzer, George D Toderici, Michael Tschannen et al.
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
Sam Hopkins, Jerry Li, Fred Zhang
Predictive Information Accelerates Learning in RL
Kuang-Huei Lee, Ian Fischer, Anthony Liu et al.
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
Siwei Wang, Longbo Huang, John C. S. Lui
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning
Xiaohan Chen, Zhangyang Wang, Siyu Tang et al.
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
Meng Zhou, Ziyu Liu, Pengwei Sui et al.
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack, Sangwoo Mo, Jongheon Jeong et al.
A shooting formulation of deep learning
François-Xavier Vialard, Roland Kwitt, Susan Wei et al.
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
yaxing wang, Lu Yu, Joost van de Weijer
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
Gonçalo Correia, Vlad Niculae, Wilker Aziz et al.
Online Decision Based Visual Tracking via Reinforcement Learning
ke Song, Wei Zhang, Ran Song et al.
Softmax Deep Double Deterministic Policy Gradients
Ling Pan, Qingpeng Cai, Longbo Huang
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
Andrea Zanette, Alessandro Lazaric, Mykel J Kochenderfer et al.
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery
Yingjie Wang, Hong Chen, Feng Zheng et al.
Task-agnostic Exploration in Reinforcement Learning
Xuezhou Zhang, Yuzhe Ma, Adish Singla