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NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17329
2312.06561 2023-12-12 cs.CV cs.GR

Inferring Hybrid Neural Fluid Fields from Videos

Hong-Xing Yu, Yang Zheng, Yuan Gao, Yitong Deng, Bo Zhu, Jiajun Wu

Comments NeurIPS 2023. Project website: https://kovenyu.com/HyFluid/ The first two authors contribute equally

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2312.06527 2023-12-12 cs.AI cs.CE

Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models

Theodore Wolf, Nantas Nardelli, John Shawe-Taylor, Maria Perez-Ortiz

Comments Published at NeurIPS'23 Workshop on Tackling Climate Change with Machine Learning

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2312.06457 2023-12-12 cs.AI cs.CL cs.IR

Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping

Will E. Thompson, David M. Vidmar, Jessica K. De Freitas, John M. Pfeifer, Brandon K. Fornwalt, Ruijun Chen, Gabriel Altay, Kabir Manghnani, Andrew C. Nelsen, Kellie Morland, Martin C. Stumpe, Riccardo Miotto

Comments Deep Generative Models for Health Workshop NeurIPS 2023

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2312.06398 2023-12-12 cs.CV cs.AI cs.GR cs.LG cs.RO

NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos

Jinxi Li, Ziyang Song, Bo Yang

Comments NeurIPS 2023. Code and data are available at: https://github.com/vLAR-group/NVFi

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2312.06351 2023-12-12 cs.CV cs.CL cs.RO

Evaluation of Large Language Models for Decision Making in Autonomous Driving

Kotaro Tanahashi, Yuichi Inoue, Yu Yamaguchi, Hidetatsu Yaginuma, Daiki Shiotsuka, Hiroyuki Shimatani, Kohei Iwamasa, Yoshiaki Inoue, Takafumi Yamaguchi, Koki Igari, Tsukasa Horinouchi, Kento Tokuhiro, Yugo Tokuchi, Shunsuke Aoki

Comments Accepted at the 2023 Symposium on Machine Learning for Autonomous Driving collocated with NeurIPS

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2312.06221 2023-12-12 cs.CV cs.LG

CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels

Wanxing Chang, Ye Shi, Jingya Wang

Comments Accepted by NeurIPS 2023

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2312.06147 2023-12-12 cs.CL cs.IR

"What's important here?": Opportunities and Challenges of Using LLMs in Retrieving Information from Web Interfaces

Faria Huq, Jeffrey P. Bigham, Nikolas Martelaro

Comments Accepted to NeurIPS 2023 R0-FoMo Workshop

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2312.06089 2023-12-12 cs.LG cs.AI

TabMT: Generating tabular data with masked transformers

Manbir S Gulati, Paul F Roysdon

Comments NeurIPS 2023 (https://openreview.net/forum?id=qs4swxtIAQ)

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2312.06017 2023-12-12 astro-ph.GA

GalacticFlow: Learning a Generalized Representation of Galaxies with Normalizing Flows

Luca Wolf, Tobias Buck

Comments Accepted for the NeurIPS 2023 Machine Learning and the Physical Sciences workshop. 6 pages, 3 figures

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2312.06016 2023-12-12 astro-ph.GA

GAMMA: Galactic Attributes of Mass, Metallicity, and Age Dataset

Ufuk Çakır, Tobias Buck

Comments Accepted at the Machine Learning and the Physical Sciences Workshop at the 37th conference on Neural Information Processing Systems (NeurIPS)

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2312.06015 2023-12-12 astro-ph.GA cs.LG

Speeding up astrochemical reaction networks with autoencoders and neural ODEs

Immanuel Sulzer, Tobias Buck

Comments Accepted at the "Machine Learning and the Physical Sciences" Workshop at Neurips, 2023

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2312.05659 2023-12-12 cs.LG cs.CR

Optimal Unbiased Randomizers for Regression with Label Differential Privacy

Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang

Comments Proceedings version to appear at NeurIPS 2023

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2312.05502 2023-12-12 cs.LG

Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks

Ege Erdogan, Simon Geisler, Stephan Günnemann

Comments NeurIPS 2023 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2023)

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2312.05435 2023-12-12 cs.CL

Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts

Xiruo Ding, Zhecheng Sheng, Brian Hur, Feng Chen, Serguei V. S. Pakhomov, Trevor Cohen

Comments Accepted in Workshop on Distribution Shifts, 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

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2312.05334 2023-12-12 eess.IV cs.CV

ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging

Sulaiman Vesal, Indrani Bhattacharya, Hassan Jahanandish, Xinran Li, Zachary Kornberg, Steve Ran Zhou, Elijah Richard Sommer, Moon Hyung Choi, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu

Comments Accepted in NeurIPS 2023 (Medical Imaging meets NeurIPS Workshop)

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2312.05277 2023-12-12 cs.CV cs.LG

3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection

Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu

Comments NeurIPS 2023. Project website: https://gyhandy.github.io/3D-Copy-Paste/

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2310.19614 2023-12-12 q-bio.NC cs.LG cs.NE

Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity

Julian Rossbroich, Friedemann Zenke

Comments Accepted at NeurIPS 2023; fixed error in Figure S2

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2310.07206 2023-12-12 cs.CV

DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation

Rong Wang, Wei Mao, Hongdong Li

Comments Accepted to NeurIPS 2023

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2307.08875 2023-12-12 cs.LG cs.RO math.OC

Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation

Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian

Comments Neurips 2023

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2306.14870 2023-12-12 cs.CL

Composing Parameter-Efficient Modules with Arithmetic Operations

Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He

Comments NeurIPS 2023. Code is available at https://github.com/SJTU-LIT/PEM_composition

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2306.07042 2023-12-12 cs.LG

Transformers learn through gradual rank increase

Enric Boix-Adsera, Etai Littwin, Emmanuel Abbe, Samy Bengio, Joshua Susskind

Comments 39 pages, to appear in NeurIPS 2023

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2306.06070 2023-12-12 cs.CL

Mind2Web: Towards a Generalist Agent for the Web

Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su

Comments Website: https://osu-nlp-group.github.io/Mind2Web. Updated with supplementary material. NeurIPS'23 Spotlight

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2306.01804 2023-12-12 cs.LG cs.AI

Extracting Reward Functions from Diffusion Models

Felipe Nuti, Tim Franzmeyer, João F. Henriques

Comments NeurIPS 2023

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2305.17581 2023-12-12 cs.LG math.OC

Knowledge Distillation Performs Partial Variance Reduction

Mher Safaryan, Alexandra Peste, Dan Alistarh

Comments 15+22 pages, NeurIPS 2023

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2305.12032 2023-12-12 cs.CV cs.LG cs.MA cs.RO

The Waymo Open Sim Agents Challenge

Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nick Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov

Comments Accepted to NeurIPS 2023, Track on Datasets and Benchmarks. Public leaderboard available at https://waymo.com/open/challenges/2023/sim-agents/

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2305.04388 2023-12-12 cs.CL cs.AI

Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

Miles Turpin, Julian Michael, Ethan Perez, Samuel R. Bowman

Comments NeurIPS 2023

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2304.12180 2023-12-12 cs.NE cs.AI cs.LG

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies

Oscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz

Comments NeurIPS 2023. 41 pages. Code available at https://github.com/OscarcarLi/Noise-Reuse-Evolution-Strategies

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2303.06121 2023-12-12 cs.LG cs.AI

Ignorance is Bliss: Robust Control via Information Gating

Manan Tomar, Riashat Islam, Matthew E. Taylor, Sergey Levine, Philip Bachman

Comments NeurIPS 2023

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2302.12247 2023-12-12 cs.LG cs.AI cs.CL cs.CV cs.IT math.IT

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework

Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard Chen, Zihao Deng, Nicholas Allen, Randy Auerbach, Faisal Mahmood, Ruslan Salakhutdinov, Louis-Philippe Morency

Comments NeurIPS 2023. Code available at: https://github.com/pliang279/PID

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2302.05906 2023-12-12 cs.LG cs.AI

On Comparing Fair Classifiers under Data Bias

Mohit Sharma, Amit Deshpande, Rajiv Ratn Shah

Comments Accepted as a Spotlight Presentation at Algorithmic Fairness through the Lens of Time, Neurips 2023 Workshop

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