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期刊&会议

NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17326
2411.13036 2024-11-21 cs.CV cs.AI

Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization

Sanghyeob Song, Jaihyun Lew, Hyemi Jang, Sungroh Yoon

Comments This paper is accepted to the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

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2411.12990 2024-11-21 cs.AI cs.LG

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices

Anka Reuel, Amelia Hardy, Chandler Smith, Max Lamparth, Malcolm Hardy, Mykel J. Kochenderfer

Comments Accepted as a Spotlight Poster to NeurIPS 2024

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2411.07679 2024-11-21 cs.LG cs.GT

Safe Exploitative Play with Untrusted Type Beliefs

Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman

Comments 26 pages, NeurIPS 2024

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2410.23093 2024-11-21 physics.flu-dyn

Differentiable Conservative Radially Symmetric Fluid Simulations and Stellar Winds -- jf1uids

Leonard Storcks, Tobias Buck

Comments 8 pages, 4 figures, accepted for the Machine Learning and the Physical Sciences workshop at NeurIPS 2024

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2410.20886 2024-11-21 cs.LG astro-ph.IM physics.comp-ph

CODES: Benchmarking Coupled ODE Surrogates

Robin Janssen, Immanuel Sulzer, Tobias Buck

Comments 13 pages, 10 figures, accepted for the Machine Learning and the Physical Sciences workshop at NeurIPS 2024, source code available on GitHub at https://github.com/robin-janssen/CODES-Benchmark

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2410.15674 2024-11-21 cs.CV

TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight

Hyun-Kurl Jang, Jihun Kim, Hyeokjun Kweon, Kuk-Jin Yoon

Comments Accepted at NeurIPS 2024. Code is available at https://github.com/blue-531/TALoS

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2410.11807 2024-11-21 physics.ao-ph cs.LG

Regional Ocean Forecasting with Hierarchical Graph Neural Networks

Daniel Holmberg, Emanuela Clementi, Teemu Roos

Comments 28 pages, 35 figures. Accepted to the Tackling Climate Change with Machine Learning workshop at NeurIPS 2024

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2410.11187 2024-11-21 cs.CV

Multiview Scene Graph

Juexiao Zhang, Gao Zhu, Sihang Li, Xinhao Liu, Haorui Song, Xinran Tang, Chen Feng

Comments NeurIPS 2024. Website at https://ai4ce.github.io/MSG/

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2409.18696 2024-11-21 cs.LG

Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective

Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jinming Wu, Jianxin Liao

Comments Accepted by NeurIPS 2024

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2405.15894 2024-11-21 math.OC cs.LG

Derivatives of Stochastic Gradient Descent in parametric optimization

Franck Iutzeler, Edouard Pauwels, Samuel Vaiter

Journal ref NeurIPS 2024

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2402.08823 2024-11-21 cs.CV cs.LG

Random Representations Outperform Online Continually Learned Representations

Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H. S. Torr, Ozan Sener, Puneet K. Dokania

Comments Accepted at NeurIPS 2024

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2311.07633 2024-11-21 cs.LG cs.AI math.OC

Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime

Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan

Comments NeurIPS 2024 Datasets and Benchmarks Track

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2411.12907 2024-11-21 cs.MM cs.IT math.IT

Narrative Information Theory

Lion Schulz, Miguel Patrício, Daan Odijk

Comments To be published in NeurIPS 2024 Workshop on Creativity & Generative AI. 7 pages, 3 figures

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2411.12897 2024-11-21 cs.LG cs.CV physics.data-an

Tree Species Classification using Machine Learning and 3D Tomographic SAR -- a case study in Northern Europe

Colverd Grace, Schade Laura, Takami Jumpei, Bot Karol, Gallego Joseph

Journal ref Neurips 2024 - Climate Change Workshop

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2411.12786 2024-11-21 stat.ML cs.LG math.OC math.ST stat.TH

Off-policy estimation with adaptively collected data: the power of online learning

Jeonghwan Lee, Cong Ma

Comments 37 pages. Accepted to the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, British Columbia, Canada

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2411.09834 2024-11-21 cs.CL cs.AI

A Benchmark for Long-Form Medical Question Answering

Pedram Hosseini, Jessica M. Sin, Bing Ren, Bryceton G. Thomas, Elnaz Nouri, Ali Farahanchi, Saeed Hassanpour

Comments AIM-FM: Advancements in Medical Foundation Models Workshop, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

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2410.10318 2024-11-21 cs.CV cs.LG

QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models

Zhumazhan Balapanov, Vanessa Matvei, Olivia Holmberg, Edward Magongo, Jonathan Pei, Kevin Zhu

Comments Accepted to NeurIPS 2024 workshop on Neural Compression

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2409.20181 2024-11-21 cs.CL

Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models

Luohe Shi, Yao Yao, Zuchao Li, Lefei Zhang, Hai Zhao

Comments Accepted by the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

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2411.12709 2024-11-20 cs.CY

Dimensions of Generative AI Evaluation Design

P. Alex Dow, Jennifer Wortman Vaughan, Solon Barocas, Chad Atalla, Alexandra Chouldechova, Hanna Wallach

Comments NeurIPS 2024 Workshop on Evaluating Evaluations (EvalEval)

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2411.12629 2024-11-20 astro-ph.GA astro-ph.CO astro-ph.IM cs.AI

Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks

Nikhil Garuda, John F. Wu, Dylan Nelson, Annalisa Pillepich

Comments 9 pages, 4 figures, accepted at the NeurIPS ML4PS 2024 workshop

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2411.12372 2024-11-20 cs.CL cs.LG

RedPajama: an Open Dataset for Training Large Language Models

Maurice Weber, Daniel Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks

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2411.12304 2024-11-20 cs.NE cs.LG

Emergence of Implicit World Models from Mortal Agents

Kazuya Horibe, Naoto Yoshida

Comments Accepted as a 1-page tiny paper in the Intrinsically Motivated Open-ended Learning workshop at NeurIPS 2024

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2411.12078 2024-11-20 cs.LG

Molecule Generation with Fragment Retrieval Augmentation

Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie

Comments NeurIPS 2024

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2411.11520 2024-11-20 cs.AI cs.CY cs.LG

A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents

Jean Vassoyan, Anan Schütt, Jill-Jênn Vie, Arun-Balajiee Lekshmi-Narayanan, Elisabeth André, Nicolas Vayatis

Comments NeurIPS 2024 Workshop on Large Foundation Models for Educational Assessment (FM-Assess), Dec 2024, Vancouver, Canada

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2411.11101 2024-11-20 cs.LG cs.AI cs.CY

Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML

Prakhar Ganesh, Usman Gohar, Lu Cheng, Golnoosh Farnadi

Comments To appear at AFME@NeurIPS 2024

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2411.07372 2024-11-20 cs.LG

Identifying Differential Patient Care Through Inverse Intent Inference

Hyewon Jeong, Siddharth Nayak, Taylor Killian, Sanjat Kanjilal

Journal ref Reinforcement Learning for Real Life (RL4RealLife) Workshop, NeurIPS 2022

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2406.08938 2024-11-20 math.OC cs.LG

Mirror and Preconditioned Gradient Descent in Wasserstein Space

Clément Bonet, Théo Uscidda, Adam David, Pierre-Cyril Aubin-Frankowski, Anna Korba

Comments Accepted as Spotlight at Conference on Neural Information Processing Systems (NeurIPS 2024)

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2406.05981 2024-11-20 cs.LG cs.AI cs.CL

ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization

Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan Celine Lin

Comments Accepted by NeurIPS 2024

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2405.19262 2024-11-20 cs.CL cs.AI cs.LG

Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models

Zhanhui Zhou, Zhixuan Liu, Jie Liu, Zhichen Dong, Chao Yang, Yu Qiao

Comments NeurIPS 2024

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2401.14966 2024-11-20 cs.CV

Masked Pre-training Enables Universal Zero-shot Denoiser

Xiaoxiao Ma, Zhixiang Wei, Yi Jin, Pengyang Ling, Tianle Liu, Ben Wang, Junkang Dai, Huaian Chen

Comments To appear at NeurIPS 2024

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