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期刊&会议

NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17326
2405.18296 2024-12-24 cs.LG cond-mat.dis-nn stat.ML

Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training

Anchit Jain, Rozhin Nobahari, Aristide Baratin, Stefano Sarao Mannelli

Comments NeurIPS 2024

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2405.16877 2024-12-24 cs.LG cs.AI

Are Self-Attentions Effective for Time Series Forecasting?

Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim

Comments Accepted at NeurIPS 2024

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2405.13863 2024-12-24 cs.AI cs.LG

Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning

Arko Banerjee, Kia Rahmani, Joydeep Biswas, Isil Dillig

Comments Presented at Neurips 2024

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1801.01589 2024-12-24 cs.SD cs.AI cs.MM eess.AS

Neural Style Transfer for Audio Spectograms

Prateek Verma, Julius O. Smith

Comments Appeared in 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA at the workshop for Machine Learning for Creativity and Design

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2406.01345 2024-12-23 cs.LG stat.ML

BMRS: Bayesian Model Reduction for Structured Pruning

Dustin Wright, Christian Igel, Raghavendra Selvan

Comments NeurIPS 2024 Spotlight; 19 pages; 7 figures; 4 tables

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2412.15699 2024-12-23 stat.AP

Climate Impact Assessment Requires Weighting: Introducing the Weighted Climate Dataset

Marco Gortan, Lorenzo Testa, Giorgio Fagiolo, Francesco Lamperti

Comments 10 pages, 5 figures

Journal ref NeurIPS 2024 workshop on Tackling Climate Change with Machine Learning

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2412.15507 2024-12-23 cs.LG cs.CV

Stylish and Functional: Guided Interpolation Subject to Physical Constraints

Yan-Ying Chen, Nikos Arechiga, Chenyang Yuan, Matthew Hong, Matt Klenk, Charlene Wu

Comments Accepted by Foundation Models for Science Workshop, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

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2410.22306 2024-12-23 cs.CV

Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention

Haomeng Zhang, Chiao-An Yang, Raymond A. Yeh

Comments NeurIPS 2024

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2410.21868 2024-12-23 cs.CL

Improving In-Context Learning with Small Language Model Ensembles

M. Mehdi Mojarradi, Lingyi Yang, Robert McCraith, Adam Mahdi

Comments Presented at NeurIPS 2024 Workshop on Adaptive Foundation Models

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2410.10908 2024-12-23 cs.LG cs.MS cs.PL

The State of Julia for Scientific Machine Learning

Edward Berman, Jacob Ginesin

Comments Presented at the 2024 NeurIPS Machine Learning and the Physical Sciences Workshop

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2406.15334 2024-12-23 cs.CV cs.AI cs.CL cs.LG

Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning

Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig

Comments Published in NeurIPS 2024

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2405.12856 2024-12-23 stat.ML cs.CL cs.LG

LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

James Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Duvenaud

Journal ref 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

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2412.14516 2024-12-20 cs.LG cs.CL

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment

Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G Honavar

Comments Accepted by NeurIPS 2024 Main

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2407.04693 2024-12-20 cs.CL cs.AI

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen

Comments Accepted by NeurIPS 2024. Dataset, code, and model are released at https://github.com/open-compass/ANAH

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1901.09367 2024-12-20 math.OC cs.DC cs.LG cs.MA cs.SY eess.SY

A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion

Filip Hanzely, Jakub Konečný, Nicolas Loizou, Peter Richtárik, Dmitry Grishchenko

Comments NeurIPS 2018, Privacy Preserving Machine Learning Workshop (camera ready version). The full-length paper, which includes a number of additional algorithms and results (including proofs of statements and experiments), is available in arXiv:1706.07636

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2412.14315 2024-12-20 stat.ML cs.DS cs.LG cs.SI

On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models

Aditya Bhaskara, Agastya Vibhuti Jha, Michael Kapralov, Naren Sarayu Manoj, Davide Mazzali, Weronika Wrzos-Kaminska

Comments 45 pages. NeurIPS 2024

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2412.14212 2024-12-20 cs.SE cs.AI

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution

Ziyi Ni, Yifan Li, Daxiang Dong

Comments Submitted to the Neurips Workshop "System 2 Reasoning" in September, 2024. The openreview is avaliable at https://openreview.net/forum?id=8NKAL8Ngxk

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2411.02664 2024-12-20 cs.LG cs.AI stat.ML

Explanations that reveal all through the definition of encoding

Aahlad Puli, Nhi Nguyen, Rajesh Ranganath

Comments 36 pages, 7 figures, 6 tables, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Journal ref 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

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2410.23904 2024-12-20 cs.CV

EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection

Qinqian Lei, Bo Wang, Robby T. Tan

Comments Accepted by NeurIPS 2024

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2410.22631 2024-12-20 cs.LG cs.AI

DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach

Qian Chen, Ling Chen

Comments Accepted by NeurIPS 2024, 17 pages, and 3 figures

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2410.21853 2024-12-20 cs.LG cs.AI

Learning Infinitesimal Generators of Continuous Symmetries from Data

Gyeonghoon Ko, Hyunsu Kim, Juho Lee

Comments Neurips 2024

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2410.19460 2024-12-20 cs.LG cs.AI cs.NA cs.PF math.NA

Accelerating AI Performance using Anderson Extrapolation on GPUs

Saleem Abdul Fattah Ahmed Al Dajani, David E. Keyes

Comments 6 pages, 6 figures, 1 table, Accepted by NeurIPS 2024 Workshop MLNCP https://openreview.net/forum?id=wkP2ZFRn9e

Journal ref Neural Information Processing Systems (NeurIPS). Machine Learning with New Compute Paradigms (MLNCP) Workshop, October 2024

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2407.05282 2024-12-20 cs.CV

UltraEdit: Instruction-based Fine-Grained Image Editing at Scale

Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang

Comments NeurIPS 2024

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2406.02507 2024-12-20 cs.CV cs.AI cs.LG cs.NE stat.ML

Guiding a Diffusion Model with a Bad Version of Itself

Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine

Comments NeurIPS 2024

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2405.14768 2024-12-20 cs.CL cs.AI cs.CV cs.IR cs.LG

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models

Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

Comments NeurIPS 2024

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2402.11887 2024-12-20 cs.LG

Generative Semi-supervised Graph Anomaly Detection

Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang

Comments Accepted by NeurIPS 2024

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2412.14077 2024-12-19 cs.CY cs.AI

Dialogue with the Machine and Dialogue with the Art World: Evaluating Generative AI for Culturally-Situated Creativity

Rida Qadri, Piotr Mirowski, Aroussiak Gabriellan, Farbod Mehr, Huma Gupta, Pamela Karimi, Remi Denton

Comments NeurIPS 2024 Creative AI Track

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2412.14076 2024-12-19 cs.AI cs.CL

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations

Paul Soulos, Henry Conklin, Mattia Opper, Paul Smolensky, Jianfeng Gao, Roland Fernandez

Comments NeurIPS 2024. Code available at https://github.com/psoulos/sdtm

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2412.13716 2024-12-19 q-bio.GN cs.LG

Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA

Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang

Comments Accepted by NeurIPS 2024

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2412.13514 2024-12-19 cs.SD cs.AI eess.AS

Tuning Music Education: AI-Powered Personalization in Learning Music

Mayank Sanganeria, Rohan Gala

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Creative AI Track

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