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期刊&会议

NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17326
2407.06863 2025-01-22 cs.CV

Beyond Aesthetics: Cultural Competence in Text-to-Image Models

Nithish Kannen, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Bousso Dieng, Pushpak Bhattacharyya, Shachi Dave

Comments NeurIPS 2024 camera-ready version

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2406.19146 2025-01-22 cs.LG cs.CL

Resolving Discrepancies in Compute-Optimal Scaling of Language Models

Tomer Porian, Mitchell Wortsman, Jenia Jitsev, Ludwig Schmidt, Yair Carmon

Comments Spotlight at NeurIPS 2024

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2406.17830 2025-01-22 stat.ML cs.LG

Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness

Vaclav Voracek

Comments comments are welcome; neurips 2024

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2406.15658 2025-01-22 cs.CV cs.AI

TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai

Comments 10 pages, 2 figures. Accepted by NeurIPS 2024 Datasets and Benchmarks Track

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2406.10485 2025-01-22 cs.LG cs.CV

A Label is Worth a Thousand Images in Dataset Distillation

Tian Qin, Zhiwei Deng, David Alvarez-Melis

Comments NeurIPS 2024

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2310.12963 2025-01-22 cs.CL cs.AI

AutoMix: Automatically Mixing Language Models

Pranjal Aggarwal, Aman Madaan, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Manaal Faruqui, Mausam

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024). The first two authors contributed equally. Work started and partly done during Aman's internship at Google. This version adds results on additional models and datasets

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2501.10369 2025-01-22 cs.CY cs.AI cs.HC cs.LG

Creative Loss: Ambiguity, Uncertainty and Indeterminacy

Tom Holberton

Comments NeurIPS 2024 Creative AI Track

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2411.10293 2025-01-22 cs.CV cs.AI cs.LG math.DG

RETR: Multi-View Radar Detection Transformer for Indoor Perception

Ryoma Yataka, Adriano Cardace, Pu Perry Wang, Petros Boufounos, Ryuhei Takahashi

Comments 24 pages, Accepted to NeurIPS 2024, Github Link: https://github.com/merlresearch/radar-detection-transformer

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2406.06959 2025-01-22 cs.LG cs.AI

Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems

Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu

Comments Accepted by NeurIPS 2024

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2405.17745 2025-01-22 q-bio.NC

Shaping the distribution of neural responses with interneurons in a recurrent circuit model

David Lipshutz, Eero P. Simoncelli

Journal ref Advances in Neural Information Processing (NeurIPS), December 2024

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2501.10181 2025-01-20 cs.GT cs.LG

Improved learning rates in multi-unit uniform price auctions

Marius Potfer, Dorian Baudry, Hugo Richard, Vianney Perchet, Cheng Wan

Comments NeurIPS 2024

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2501.09909 2025-01-20 cs.SI

Demo: Interactive Visualization of Semantic Relationships in a Biomedical Project's Talent Knowledge Graph

Jiawei Xu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding

Comments Accepted by GenAI for Health Workshop @ NeurIPS 2024, Vancouver

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2501.09906 2025-01-20 cs.CY

Position: Open and Closed Large Language Models in Healthcare

Jiawei Xu, Ying Ding, Yi Bu

Comments Accepted by GenAI for Health Workshop @ NeurIPS 2024, Vancouver

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2501.09851 2025-01-20 cs.LG cs.DS

Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random

Gautam Chandrasekaran, Vasilis Kontonis, Konstantinos Stavropoulos, Kevin Tian

Comments Appeared in NeurIPS 2024

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2407.15580 2025-01-20 cs.LG cs.SD eess.AS math.PR stat.ML

Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing

David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard

Comments NeurIPS 2024

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2405.14440 2025-01-20 cs.LG stat.ML

Bayesian Adaptive Calibration and Optimal Design

Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. Bonilla

Comments NeurIPS 2024 final revision

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2404.13733 2025-01-20 cs.LG cs.AI cs.CV

Elucidating the Design Space of Dataset Condensation

Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen

Comments Accepted by NeurIPS 2024

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2402.18540 2025-01-20 cs.LG cs.AI cs.CL

Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates

Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora

Comments NeurIPS 2024

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2312.10725 2025-01-20 cs.LG cs.AI cs.CV

Harnessing small projectors and multiple views for efficient vision pretraining

Kumar Krishna Agrawal, Arna Ghosh, Shagun Sodhani, Adam Oberman, Blake Richards

Comments Accepted to NeurIPS 2024

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2404.04269 2025-01-17 cs.IR cs.LG cs.SI

Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists

Joachim Baumann, Celestine Mendler-Dünner

Comments Published at NeurIPS 2024, camera-ready updates

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2207.09980 2025-01-17 cs.LG cs.AI cs.CL

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective

Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

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

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2501.09571 2025-01-17 cs.LG cs.AI math.RT

MatrixNet: Learning over symmetry groups using learned group representations

Lucas Laird, Circe Hsu, Asilata Bapat, Robin Walters

Comments NeurIPS 2024

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2501.09163 2025-01-17 cs.LG cs.AI stat.ML

Towards Understanding Extrapolation: a Causal Lens

Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang

Comments NeurIPS 2024

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2501.09103 2025-01-17 cs.LG

Similarity-Quantized Relative Difference Learning for Improved Molecular Activity Prediction

Karina Zadorozhny, Kangway V. Chuang, Bharath Sathappan, Ewan Wallace, Vishnu Sresht, Colin A. Grambow

Journal ref Machine Learning for Structural Biology Workshop, NeurIPS 2024

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2411.02623 2025-01-17 cs.AI cs.CY cs.HC cs.LG

Learning to Assist Humans without Inferring Rewards

Vivek Myers, Evan Ellis, Sergey Levine, Benjamin Eysenbach, Anca Dragan

Comments Conference on Neural Information Processing Systems (NeurIPS), 2024

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2410.20986 2025-01-17 cs.CV cs.GR

Skinned Motion Retargeting with Dense Geometric Interaction Perception

Zijie Ye, Jia-Wei Liu, Jia Jia, Shikun Sun, Mike Zheng Shou

Comments NeurIPS 2024 Spotlight

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2410.20406 2025-01-17 cs.CV

Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis

Hongyu Sun, Qiuhong Ke, Yongcai Wang, Wang Chen, Kang Yang, Deying Li, Jianfei Cai

Comments 5 figures, 14 tables; accepted by NeurIPS 2024

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2409.09201 2025-01-17 cs.CL cs.AI

Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases

Mercy Asiedu, Nenad Tomasev, Chintan Ghate, Tiya Tiyasirichokchai, Awa Dieng, Oluwatosin Akande, Geoffrey Siwo, Steve Adudans, Sylvanus Aitkins, Odianosen Ehiakhamen, Eric Ndombi, Katherine Heller

Comments Accepted at 2 NeurIPS 2024 workshops: Generative AI for Health Workshop and Workshop on Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond

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2408.05526 2025-01-17 cs.CV cs.AI cs.CE cs.LG q-bio.BM

CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM

Minkyu Jeon, Rishwanth Raghu, Miro Astore, Geoffrey Woollard, Ryan Feathers, Alkin Kaz, Sonya M. Hanson, Pilar Cossio, Ellen D. Zhong

Comments Accepted by NeurIPS 2024 (Spotlight)

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2408.01432 2025-01-17 cs.CV cs.LG

VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance

Divyansh Srivastava, Ge Yan, Tsui-Wei Weng

Comments Appeared at NeurIPS 2024

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