Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
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2023 |
Wild, Veit David |
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
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2023 |
gu, lingyu |
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss
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2023 |
Altschuler, Jason |
Theseus: A Library for Differentiable Nonlinear Optimization
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2023 |
Pineda, Luis |
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
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2023 |
Li, Xin-Chun |
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning
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2023 |
Islam, Riashat |
Uncalibrated Models Can Improve Human-AI Collaboration
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2023 |
Vodrahalli, Kailas |
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
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2023 |
Hiller, Markus |
A General Framework for Auditing Differentially Private Machine Learning
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2023 |
Lu, Fred |
Robust Streaming PCA
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2023 |
Bienstock, Daniel |
Diffusion-LM Improves Controllable Text Generation
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2023 |
Li, Xiang |
Energy-Based Contrastive Learning of Visual Representations
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2023 |
Kim, Beomsu |
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
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2023 |
Xiao, Yuchen |
Rethinking Image Restoration for Object Detection
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2023 |
Sun, Shangquan |
SCAMPS: Synthetics for Camera Measurement of Physiological Signals
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2023 |
McDuff, Daniel |
Communicating Natural Programs to Humans and Machines
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2023 |
Acquaviva, Sam |
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
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2023 |
Paek, Dong-Hee |
Thompson Sampling Efficiently Learns to Control Diffusion Processes
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2023 |
Shirani Faradonbeh, Mohamad Kazem |
USB: A Unified Semi-supervised Learning Benchmark for Classification
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2023 |
Wang, Yidong |
Quasi-Newton Methods for Saddle Point Problems
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2023 |
Liu, Chengchang |