Papers
Contrastive Learning with Adversarial Examples
Chih-Hui Ho, Nuno Nvasconcelos
High-Throughput Synchronous Deep RL
Iou-Jen Liu, Raymond Yeh, Alexander Schwing
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Noam Brown, Anton Bakhtin, Adam Lerer et al.
Identifying Mislabeled Data using the Area Under the Margin Ranking
Geoff Pleiss, Tianyi Zhang, Ethan Elenberg et al.
Unbalanced Sobolev Descent
Youssef Mroueh, Mattia Rigotti
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Jungil Kong, Jaehyeon Kim, Jaekyoung Bae
Design Space for Graph Neural Networks
Jiaxuan You, Zhitao Ying, Jure Leskovec
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
Xiaoya Li, Yuxian Meng, Mingxin Zhou et al.
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
Makan Arastuie, Subhadeep Paul, Kevin Xu
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm
Gersende Fort, Eric Moulines, Hoi-To Wai
CryptoNAS: Private Inference on a ReLU Budget
Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen et al.
Dynamic allocation of limited memory resources in reinforcement learning
Nisheet Patel, Luigi Acerbi, Alexandre Pouget
Inverting Gradients - How easy is it to break privacy in federated learning?
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge et al.
Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class
Mingyuan Zhang, Shivani Agarwal
Conformal Symplectic and Relativistic Optimization
Guilherme Franca, Jeremias Sulam, Daniel Robinson et al.
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint
Georgios Amanatidis, Federico Fusco, Philip Lazos et al.
Lipschitz-Certifiable Training with a Tight Outer Bound
Sungyoon Lee, Jaewook Lee, Saerom Park
Zap Q-Learning With Nonlinear Function Approximation
Shuhang Chen, Adithya M Devraj, Fan Lu et al.
Reinforcement Learning with Feedback Graphs
Christoph Dann, Yishay Mansour, Mehryar Mohri et al.
MPNet: Masked and Permuted Pre-training for Language Understanding
Kaitao Song, Xu Tan, Tao Qin et al.
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning
Youngsung Kim, Jinwoo Shin, Eunho Yang et al.
PAC-Bayes Analysis Beyond the Usual Bounds
Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvari et al.
Ratio Trace Formulation of Wasserstein Discriminant Analysis
Hexuan Liu, Yunfeng Cai, You-Lin Chen et al.
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang, Yang Zou, B. V. K. Vijaya Kumar et al.