Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • A Contrastive Rule for Meta-Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Contrastive Rule for Meta-Learning

    Nicolas Zucchet, Simon Schug, Johannes Von Oswald, Dominic Zhao, JoĂŁo Sacramento p25921-25936 from Advances in Neural Information Processing Systems 35
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  • A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning

    Zhaomin Wu, Qinbin Li, Bingsheng He p21087-21100 from Advances in Neural Information Processing Systems 35
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  • A Critical Evaluation of AI Feedback for Aligning Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Critical Evaluation of AI Feedback for Aligning Large Language Models

    Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar p29166-29190 from Advances in Neural Information Processing Systems 37
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  • A Cross-Domain Benchmark for Active Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Cross-Domain Benchmark for Active Learning

    Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-Thieme p62875-62911 from Advances in Neural Information Processing Systems 37
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  • A Cross-Moment Approach for Causal Effect Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Cross-Moment Approach for Causal Effect Estimation

    Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash p9944-9955 from Advances in Neural Information Processing Systems 36
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  • A Damped Newton Method Achieves Global O (1/k2) and Local Quadratic Convergence Rate

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Damped Newton Method Achieves Global O (1/k2) and Local Quadratic Convergence Rate

    SlavomĂ­r Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander Gasnikov, Peter Richtarik, Martin Takac p25320-25334 from Advances in Neural Information Processing Systems 35
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  • A Data-Augmentation is Worth a Thousand Samples: Analytical Moments and Sampling-Free Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Data-Augmentation is Worth a Thousand Samples: Analytical Moments and Sampling-Free Training

    Randall Balestriero, Ishan Misra, Yann Lecun p19631-19644 from Advances in Neural Information Processing Systems 35
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  • A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data

    Andrej Tschalzev, Sascha Marton, Stefan LĂĽdtke, Christian Bartelt, Heiner Stuckenschmidt p95896-95930 from Advances in Neural Information Processing Systems 37
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  • A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks

    Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr p66408-66425 from Advances in Neural Information Processing Systems 36
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  • A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers

    Sapna Chaudhary, Mukulika Maity, Sandip Chakraborty, Naval Shukla p78069-78081 from Advances in Neural Information Processing Systems 36
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  • A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments

    Eirik Lund Flogard, Ole Jakob Mengshoel p23297-23310 from Advances in Neural Information Processing Systems 35
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  • A Dataset of Relighted 3D Interacting Hands

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Dataset of Relighted 3D Interacting Hands

    Gyeongsik Moon, Shunsuke Saito, Weipeng Xu, Rohan Joshi, Julia Buffalini, Harley Bellan, Nicholas Rosen, Jesse Richardson, Mallorie Mize, Philippe De Bree, Tomas Simon, Bo Peng, Shubham Garg, Kevyn McPhail, Takaaki Shiratori p17689-17701 from Advances in Neural Information Processing Systems 36
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  • A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health

    Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe p3964-4002 from Advances in Neural Information Processing Systems 37
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  • A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability

    Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu p26025-26047 from Advances in Neural Information Processing Systems 36
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  • A Deep Learning Dataloader with Shared Data Preparation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Deep Learning Dataloader with Shared Data Preparation

    Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong p17146-17156 from Advances in Neural Information Processing Systems 35
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  • A Deep Reinforcement Learning Framework for Column Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Deep Reinforcement Learning Framework for Column Generation

    Cheng Chi, Amine Aboussalah, Elias Khalil, Juyoung Wang, Zoha Sherkat-Masoumi p9633-9644 from Advances in Neural Information Processing Systems 35
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  • A Definition of Continual Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Definition of Continual Reinforcement Learning

    David Abel, Andre Barreto, Benjamin Van Roy, Doina Precup, Hado Van Hasselt, Satinder Singh p50377-50407 from Advances in Neural Information Processing Systems 36
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  • A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval

    Hao Li, Jingkuan Song, Lianli Gao, Pengpeng Zeng, Haonan Zhang, Gongfu Li p11934-11946 from Advances in Neural Information Processing Systems 35
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  • A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem

    Bar Mahpud, Or Sheffet p31640-31652 from Advances in Neural Information Processing Systems 35
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  • A Diffusion-Model of Joint Interactive Navigation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Diffusion-Model of Joint Interactive Navigation

    Matthew Niedoba, Jonathan Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood p55995-56011 from Advances in Neural Information Processing Systems 36
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  • A Direct Approximation of AIXI Using Logical State Abstractions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Direct Approximation of AIXI Using Logical State Abstractions

    Samuel Yang-Zhao, Tianyu Wang, Kee Siong Ng p36640-36653 from Advances in Neural Information Processing Systems 35
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  • A distributional simplicity bias in the learning dynamics of transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A distributional simplicity bias in the learning dynamics of transformers

    Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt p96207-96228 from Advances in Neural Information Processing Systems 37
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  • A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains

    Minkyu Choi, Kuan Han, Xiaokai Wang, Yizhen Zhang, Zhongming Liu p50408-50428 from Advances in Neural Information Processing Systems 36
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  • A Dynamical System View of Langevin-Based Non-Convex Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Dynamical System View of Langevin-Based Non-Convex Sampling

    Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause p41051-41075 from Advances in Neural Information Processing Systems 36
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