Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
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2022 |
Wang, Deng-Bao |
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees
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2022 |
Cutler, Joshua |
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
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2022 |
Schlaginhaufen, Andreas |
Generalized Proximal Policy Optimization with Sample Reuse
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2022 |
Queeney, James |
Fairness in Ranking under Uncertainty
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2022 |
Singh, Ashudeep |
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
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2022 |
Fang, Gongfan |
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition
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2022 |
Wang, Yulin |
Learning in two-player zero-sum partially observable Markov games with perfect recall
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2022 |
Kozuno, Tadashi |
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
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2022 |
Gu, Xinran |
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
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2022 |
Zheng, Wenqing |
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
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2022 |
Vandermeulen, Robert A |
FACMAC: Factored Multi-Agent Centralised Policy Gradients
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2022 |
Peng, Bei |
Object-aware Contrastive Learning for Debiased Scene Representation
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2022 |
Mo, Sangwoo |
Evaluating Efficient Performance Estimators of Neural Architectures
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2022 |
Ning, Xuefei |
Identifiability in inverse reinforcement learning
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2022 |
Cao, Haoyang |
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning
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2022 |
Liu, Guanlin |
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning
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2022 |
Zilly, Julian |
Causal Navigation by Continuous-time Neural Networks
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2022 |
Vorbach, Charles |
Learning with User-Level Privacy
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2022 |
Levy, Daniel |
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
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2022 |
Patrick, Mandela |