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期刊&会议

NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17333
2205.10186 2023-01-18 cs.LG

Bayesian Active Learning with Fully Bayesian Gaussian Processes

Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Câmara Pereira

Comments In Proceedings of Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

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2204.00628 2023-01-18 cs.SD cs.CV cs.LG cs.RO eess.AS

Learning Neural Acoustic Fields

Andrew Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan

Comments NeurIPS 2022. Project page: https://www.andrew.cmu.edu/user/afluo/Neural_Acoustic_Fields/

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2110.10211 2023-01-18 cs.CV cs.LG

Learning Partial Equivariances from Data

David W. Romero, Suhas Lohit

Comments Published at NeurIPS 2022

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2106.13624 2023-01-18 cs.LG stat.ML

Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote

Yi-Shan Wu, Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel, Yevgeny Seldin

Comments aligned with the camera-ready version published at NeurIPS 2021

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1906.04904 2023-01-18 stat.ML cs.LG

Learning Deep Generative Models with Annealed Importance Sampling

Xinqiang Ding, David J. Freedman

Journal ref NeurIPS 2020 Workshop on Machine Learning and the Physical Sciences

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2301.05792 2023-01-18 cs.CV

RMM: Reinforced Memory Management for Class-Incremental Learning

Yaoyao Liu, Bernt Schiele, Qianru Sun

Comments NeurIPS 2021

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2210.16844 2023-01-18 cs.LG

Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders

Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf, Ke Li

Comments Thirty-sixth Conference on Neural Information Processing Systems, 2022

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2210.16486 2023-01-18 cs.CV cs.LG stat.ML

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM

Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu

Comments NeurIPS 2022 camera ready

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2210.08642 2023-01-18 cs.LG cs.AI cs.RO stat.ML

Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data

Allen Nie, Yannis Flet-Berliac, Deon R. Jordan, William Steenbergen, Emma Brunskill

Comments 32 pages. Published at NeurIPS 2022. Presented at RLDM 2022

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2209.09024 2023-01-18 cs.LG cs.AI cs.CR

Dataset Inference for Self-Supervised Models

Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot

Comments Accepted at NeurIPS 2022; Updated experiment details

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2206.05266 2023-01-18 cs.LG cs.CV cs.RO

Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?

Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo

Comments NeurIPS 2022. Code for ELo-SACv3 is at https://github.com/LostXine/elo-sac and code for ELo-Rainbow is at https://github.com/LostXine/elo-rainbow

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2206.01338 2023-01-18 q-bio.NC cs.NE

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators

Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül

Comments NeurIPS 2022 Camera Ready

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2206.00823 2023-01-18 cs.NE cs.AI q-bio.NC

Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules

Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie

Comments NeurIPS 2022 Camera Ready Version

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2301.05635 2023-01-16 cs.LG

Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm

Marc Höftmann, Jan Robine, Stefan Harmeling

Comments 9 pages, 7 figures, Deep Reinforcement Learning Workshop NeurIPS 2022, Deep RL Workshop 2022 NeurIPS, OpenReview

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2210.10716 2023-01-16 cs.CV

CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion

Philippe Weinzaepfel, Vincent Leroy, Thomas Lucas, Romain Brégier, Yohann Cabon, Vaibhav Arora, Leonid Antsfeld, Boris Chidlovskii, Gabriela Csurka, Jérôme Revaud

Comments NeurIPS 2022

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2210.09082 2023-01-16 cs.LG

A Solver-Free Framework for Scalable Learning in Neural ILP Architectures

Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla

Comments Accepted at NeurIPS 2022

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2208.07363 2023-01-16 cs.RO cs.GR cs.LG cs.SY eess.SY

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control

Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew Hausknecht

Comments Appearing in NeurIPS 2022 Datasets and Benchmarks Track

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2206.11895 2023-01-16 cs.CV cs.LG cs.RO

Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space

Jinghuan Shang, Srijan Das, Michael S. Ryoo

Comments NeurIPS 2022. Our code is at https://github.com/elicassion/3DTRL Our project page is at https://www3.cs.stonybrook.edu/~jishang/3dtrl/3dtrl.html v3, v4 for minor updates on figures and visualizations

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2206.06758 2023-01-16 cs.MA cs.DM cs.LG

Universally Expressive Communication in Multi-Agent Reinforcement Learning

Matthew Morris, Thomas D. Barrett, Arnu Pretorius

Comments Published in NeurIPS 2022

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2206.02568 2023-01-16 math.OC cs.AI cs.DM cs.LG

A Deep Reinforcement Learning Framework For Column Generation

Cheng Chi, Amine Mohamed Aboussalah, Elias B. Khalil, Juyoung Wang, Zoha Sherkat-Masoumi

Journal ref Advances in Neural Information Processing Systems (NeurIPS), 2022

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2203.04640 2023-01-16 cs.CL cs.AI stat.ML

Memory Efficient Continual Learning with Transformers

Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cedric Archambeau

Comments This paper was published at NeurIPS 2022

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2202.05262 2023-01-16 cs.CL cs.LG

Locating and Editing Factual Associations in GPT

Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov

Comments NeurIPS 2022. 35 pages, 30 figures. Code and data at https://rome.baulab.info/

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2210.07805 2023-01-13 cs.LG

Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning

Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee

Comments published in NeurIPS 2022

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2207.06405 2023-01-13 cs.SD cs.AI cs.LG eess.AS

Masked Autoencoders that Listen

Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer

Comments Accepted at NeurIPS 2022

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2205.01972 2023-01-13 cs.CV cs.AI cs.LG

Sequencer: Deep LSTM for Image Classification

Yuki Tatsunami, Masato Taki

Comments Accepted in NeurIPS 2022; camera ready edition

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2301.03588 2023-01-12 eess.IV cs.LG

Multiscale Metamorphic VAE for 3D Brain MRI Synthesis

Jaivardhan Kapoor, Jakob H. Macke, Christian F. Baumgartner

Comments Accepted to the NeurIPS 2022 Workshop on Medical Imaging meets NeurIPS

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2211.10431 2023-01-12 eess.SP cs.LG

Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale

Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Luan Manh Chu, Zihan Wang, Amir Salimi, Abram Hindle, Russell Greiner, Padma Kaul

Comments Accepted for NeurIPS 2022 TS4H workshop

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2211.03413 2023-01-12 cs.LG cs.AI

Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification

Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto

Comments Neural Information Processing Systems 2022 (NeurIPS '22)

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2211.00631 2023-01-12 cs.LG

Composite Feature Selection using Deep Ensembles

Fergus Imrie, Alexander Norcliffe, Pietro Lio, Mihaela van der Schaar

Comments Accepted to NeurIPS 2022

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2208.05117 2023-01-12 cs.LG

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation

Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee

Comments NeurIPS 2022 camera-ready version

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