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NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17344
2210.05816 2022-10-17 stat.ME cs.AI cs.LG

Finding and Listing Front-door Adjustment Sets

Hyunchai Jeong, Jin Tian, Elias Bareinboim

Comments Pages: 18 (main paper 10, references 2, appendix 6), Figures: 9 (main paper 7, appendix 2), to be published in Proceedings of the 36th Annual Conference on Neural Information Processing Systems

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2209.03665 2022-10-17 cs.CV cs.AI

Generalized One-shot Domain Adaptation of Generative Adversarial Networks

Zicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei

Comments NeurIPS 2022

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2208.07204 2022-10-17 cs.LG cs.AI cs.CV

USB: A Unified Semi-supervised Learning Benchmark for Classification

Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

Comments Accepted by NeurIPS'22 dataset and benchmark track; code at https://github.com/microsoft/Semi-supervised-learning

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2208.03113 2022-10-17 cs.LG

On the non-universality of deep learning: quantifying the cost of symmetry

Emmanuel Abbe, Enric Boix-Adsera

Comments Improved exposition, to appear in NeurIPS'22

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2207.09397 2022-10-17 cs.CR cs.DS cs.IT math.IT

Composition Theorems for Interactive Differential Privacy

Xin Lyu

Comments To appear in NeurIPS 2022; Revised according to reviewers' feedback; Mentioned a concurrent and independent work

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2207.02440 2022-10-17 cs.LG stat.ML

PAC Prediction Sets for Meta-Learning

Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani

Comments Accepted to NeurIPS 2022

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2207.00689 2022-10-17 stat.ME stat.CO

Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems

Hyunwoong Chang, Changwoo J. Lee, Zhao Tang Luo, Huiyan Sang, Quan Zhou

Comments Accepted to Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)

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2206.14331 2022-10-17 physics.chem-ph cs.CE cs.LG physics.comp-ph

Spherical Channels for Modeling Atomic Interactions

C. Lawrence Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary Ulissi, Brandon Wood

Comments 19 pages, accepted NeurIPS 2022

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2206.11140 2022-10-17 cs.LG

Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries

Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron

Comments NeurIPS 2022, Camera Ready; 48 pages, 7 figures

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2206.09106 2022-10-17 cs.CV

Embodied Scene-aware Human Pose Estimation

Zhengyi Luo, Shun Iwase, Ye Yuan, Kris Kitani

Comments NeurIPS 2022. Project website: https://zhengyiluo.github.io/projects/embodied_pose/. Zhengyi Luo and Shun Iwase contributed equally

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2206.06295 2022-10-17 cs.LG cs.AI stat.ML

Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients

Kyurae Kim, Jisu Oh, Jacob R. Gardner, Adji Bousso Dieng, Hongseok Kim

Comments Accepted to NeurIPS 2022

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2206.03858 2022-10-17 cs.CV

Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior

James A. D. Gardner, Bernhard Egger, William A. P. Smith

Comments NeurIPS 2022 - Project Website: jadgardner.github.io/RENI

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2206.03693 2022-10-17 cs.LG cs.CR

Autoregressive Perturbations for Data Poisoning

Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David W. Jacobs

Comments Accepted to NeurIPS 2022. Code available at https://github.com/psandovalsegura/autoregressive-poisoning

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2206.02721 2022-10-17 cs.CV cs.LG

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering

Yongyi Su, Xun Xu, Kui Jia

Comments NeurIPS 2022 accepted paper

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2206.01649 2022-10-17 cs.LG

Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules

Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber

Comments Accepted to NeurIPS 2022

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2206.00927 2022-10-17 cs.LG stat.ML

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

Comments Accepted in Neurips 2022

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2206.00159 2022-10-17 cs.LG cs.AI cs.GT cs.MA

Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus

Qiwen Cui, Simon S. Du

Comments 34 pages; accepted by NeurIPS 2022

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2205.15156 2022-10-17 cs.CV cs.AI cs.LG

Towards Efficient 3D Object Detection with Knowledge Distillation

Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi

Comments NeurIPS 2022

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2205.14987 2022-10-17 stat.ML cs.LG

A Continuous Time Framework for Discrete Denoising Models

Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet

Comments 44 pages, 15 figures; NeurIPS 2022

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2205.14401 2022-10-17 cs.CV cs.AI

Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

Renrui Zhang, Ziyu Guo, Rongyao Fang, Bin Zhao, Dong Wang, Yu Qiao, Hongsheng Li, Peng Gao

Comments NeurIPS 2022

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2205.13863 2022-10-17 cs.LG cs.AI stat.ML

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power

Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang

Comments 25 pages; to appear in NeurIPS 2022

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2205.13515 2022-10-17 cs.CV cs.LG

Green Hierarchical Vision Transformer for Masked Image Modeling

Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki

Comments Accepted at NeurIPS 2022. 18 pages, 7 figures, 6 tables, and 3 algorithms

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2205.13320 2022-10-17 cs.LG cs.AI stat.ML

Towards Learning Universal Hyperparameter Optimizers with Transformers

Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'aurelio Ranzato, Sagi Perel, Nando de Freitas

Comments Published as a conference paper in Neural Information Processing Systems (NeurIPS) 2022. Code can be found in https://github.com/google-research/optformer and Google AI Blog can be found in https://ai.googleblog.com/2022/08/optformer-towards-universal.html

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2205.10343 2022-10-17 cs.LG cond-mat.dis-nn cond-mat.stat-mech cs.AI physics.class-ph

Towards Understanding Grokking: An Effective Theory of Representation Learning

Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams

Comments Accepted by NeurIPS 2022

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2205.10337 2022-10-17 cs.CV

UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes

Alexander Kolesnikov, André Susano Pinto, Lucas Beyer, Xiaohua Zhai, Jeremiah Harmsen, Neil Houlsby

Comments 22 pages. Accepted at NeurIPS 2022

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2205.09824 2022-10-17 stat.ML cs.LG

Deep Learning Methods for Proximal Inference via Maximum Moment Restriction

Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew L. Beam

Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

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2205.04009 2022-10-17 cs.LG stat.ML

Posterior Collapse of a Linear Latent Variable Model

Zihao Wang, Liu Ziyin

Comments NeurIPS 2022; 25 pages, 5 figures, 1 Table

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2202.11705 2022-10-17 cs.CL cs.AI cs.LG

COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics

Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi

Comments NeurIPS 2022. code: https://github.com/qkaren/COLD_decoding

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2201.13320 2022-10-17 cs.LG cs.DC cs.DS math.OC stat.ML

BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression

Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik, Yuejie Chi

Comments NeurIPS 2022

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2201.03522 2022-10-17 cs.LG cs.AI cs.GT stat.ML

When is Offline Two-Player Zero-Sum Markov Game Solvable?

Qiwen Cui, Simon S. Du

Comments 30 pages; accepted by NeurIPS 2022

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