Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad

    Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Colin Sandon, Omid Saremi p27850-27895 from Advances in Neural Information Processing Systems 37
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  • How hard are computer vision datasets? Calibrating dataset difficulty to viewing time

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How hard are computer vision datasets? Calibrating dataset difficulty to viewing time

    David Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu p11008-11036 from Advances in Neural Information Processing Systems 36
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  • How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks

    Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua Susskind p91300-91336 from Advances in Neural Information Processing Systems 37
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  • How many classifiers do we need?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How many classifiers do we need?

    Hyunsuk Kim, Liam Hodgkinson, Ryan Theisen, Michael Mahoney p86458-86482 from Advances in Neural Information Processing Systems 37
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  • How many samples are needed to leverage smoothness?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How many samples are needed to leverage smoothness?

    Vivien Cabannes, Stefano Vigogna p26776-26809 from Advances in Neural Information Processing Systems 36
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  • How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders

    Qi Zhang, Yifei Wang, Yisen Wang p27127-27139 from Advances in Neural Information Processing Systems 35
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  • How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval

    Philip Fradkin, Puria Azadi, Karush Suri, Frederik Wenkel, Ali Bashashati, Maciej Sypetkowski, Dominique Beaini p110667-110701 from Advances in Neural Information Processing Systems 37
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  • How Powerful Are K-Hop Message Passing Graph Neural Networks

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    How Powerful Are K-Hop Message Passing Graph Neural Networks

    Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang p4776-4790 from Advances in Neural Information Processing Systems 35
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  • How Re-sampling Helps for Long-Tail Learning?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Re-sampling Helps for Long-Tail Learning?

    Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li p75669-75687 from Advances in Neural Information Processing Systems 36
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  • How Sampling Impacts the Robustness of Stochastic Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Sampling Impacts the Robustness of Stochastic Neural Networks

    Sina Däubener, Asja Fischer p10230-10243 from Advances in Neural Information Processing Systems 35
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  • How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective

    Qiaozhe Zhang, Ruijie Zhang, Jun Sun, Yingzhuang Liu p91337-91372 from Advances in Neural Information Processing Systems 37
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  • How to Boost Any Loss Function

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Boost Any Loss Function

    Richard Nock, Yishay Mansour p15947-15982 from Advances in Neural Information Processing Systems 37
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  • How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?

    Jiahua Dong, Wenqi Liang, Hongliu Li, Duzhen Zhang, Meng Cao, Henghui Ding, Salman Khan, Fahad Khan p130057-130083 from Advances in Neural Information Processing Systems 37
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  • How to Data in Datathons

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Data in Datathons

    Carlos Mougan, Richard Plant, Clare Teng, Marya Bazzi, Alvaro Cabrejas Egea, Ryan Chan, David Salvador Jasin, Martin Stoffel, Kirstie Whitaker, Jules Manser p10440-10456 from Advances in Neural Information Processing Systems 36
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  • How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization

    Hai Zhang, Hang Yu, Junqiao Zhao, Di Zhang, Xiao Zhang, Hongtu Zhou, Chang Huang, Chen Ye p59252-59272 from Advances in Neural Information Processing Systems 36
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  • How to Scale Your EMA

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Scale Your EMA

    Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb p73122-73174 from Advances in Neural Information Processing Systems 36
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  • How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget

    Guy Hacohen, Daphna Weinshall p13395-13407 from Advances in Neural Information Processing Systems 36
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  • How to Solve Contextual Goal-Oriented Problems with Offline Datasets?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Solve Contextual Goal-Oriented Problems with Offline Datasets?

    Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng p99433-99463 from Advances in Neural Information Processing Systems 37
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  • How to Talk So AI Will Learn: Instructions, Descriptions, and Autonomy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Talk So AI Will Learn: Instructions, Descriptions, and Autonomy

    Theodore Sumers, Robert Hawkins, Mark Ho, Tom Griffiths, Dylan Hadfield-Menell p34762-34775 from Advances in Neural Information Processing Systems 35
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  • How to Turn Your Knowledge Graph Embeddings into Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Turn Your Knowledge Graph Embeddings into Generative Models

    Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari p77713-77744 from Advances in Neural Information Processing Systems 36
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  • How to Use Diffusion Priors under Sparse Views?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Use Diffusion Priors under Sparse Views?

    Qisen Wang, Yifan Zhao, Jiawei Ma, Jia Li p30394-30424 from Advances in Neural Information Processing Systems 37
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  • How Transferable Are Video Representations Based on Synthetic Data?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Transferable Are Video Representations Based on Synthetic Data?

    Yo-Whan Kim, Samarth Mishra, Souyoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogerio Feris p35710-35723 from Advances in Neural Information Processing Systems 35
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  • How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression

    Xingwu Chen, Lei Zhao, Difan Zou p119573-119613 from Advances in Neural Information Processing Systems 37
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  • How Well Do Unsupervised Learning Algorithms Model Human Real-Time and Life-Long Learning?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Well Do Unsupervised Learning Algorithms Model Human Real-Time and Life-Long Learning?

    Chengxu Zhuang, Ziyu Xiang, Yoon Bai, Xiaoxuan Jia, Nicholas Turk-Browne, Kenneth Norman, James J Dicarlo, Dan Yamins p22628-22642 from Advances in Neural Information Processing Systems 35
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