36th Conference on Neural Information Processing Systems (NeurIPS 2022 New Orleans, Louisiana, USA, 28 November-9 December 2022) Volume 6 of 50

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Körperschaften: NeurIPS (VerfasserIn), Neural Information Processing Systems Foundation (VeranstalterIn)
Weitere Verfasser: Koyejo, Sanmi (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Red Hook, NY Curran Associates, Inc. 2023
Schriftenreihe:Advances in neural information processing systems 35
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Titel Jahr Verfasser
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning 2023 Wild, Veit David
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach 2023 gu, lingyu
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss 2023 Altschuler, Jason
Theseus: A Library for Differentiable Nonlinear Optimization 2023 Pineda, Luis
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again 2023 Li, Xin-Chun
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning 2023 Islam, Riashat
Uncalibrated Models Can Improve Human-AI Collaboration 2023 Vodrahalli, Kailas
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation 2023 Hiller, Markus
A General Framework for Auditing Differentially Private Machine Learning 2023 Lu, Fred
Robust Streaming PCA 2023 Bienstock, Daniel
Diffusion-LM Improves Controllable Text Generation 2023 Li, Xiang
Energy-Based Contrastive Learning of Visual Representations 2023 Kim, Beomsu
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning 2023 Xiao, Yuchen
Rethinking Image Restoration for Object Detection 2023 Sun, Shangquan
SCAMPS: Synthetics for Camera Measurement of Physiological Signals 2023 McDuff, Daniel
Communicating Natural Programs to Humans and Machines 2023 Acquaviva, Sam
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions 2023 Paek, Dong-Hee
Thompson Sampling Efficiently Learns to Control Diffusion Processes 2023 Shirani Faradonbeh, Mohamad Kazem
USB: A Unified Semi-supervised Learning Benchmark for Classification 2023 Wang, Yidong
Quasi-Newton Methods for Saddle Point Problems 2023 Liu, Chengchang
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