Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

Scott Fujimoto, Wei-Di Chang, Edward Smith, Shixiang (Shane) Gu, Doina Precup, David Meger p61573-61624 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding

Pengxiang Wu, Siman Wang, Kevin Dela Rosa, Derek Hu p25448-25460 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals

Nate Gillman, Charles Herrmann, Michael Freeman, Daksh Aggarwal, Evan Luo, Deqing Sun, Chen Sun p114276-114303 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching

HUANLEI GUO, Song LIU, Bingyi Jing p137699-137727 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation

Jiawen Yu, Hairuo Liu, Qiaojun Yu, Jieji Ren, Ce Hao, Haitong Ding, Guangyu Huang, Guofan Huang, Yan Song, Panpan Cai, Wenqiang Zhang, Cewu Lu p103609-103639 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Forecasting Future World Events with Neural Networks

Andy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks p27293-27305 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Forecasting Human Trajectory from Scene History

Mancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Zhou, Fan Yang, Dinggang Shen p24920-24933 from Advances in Neural Information Processing Systems 35

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Forecasting in Offline Reinforcement Learning for Non-stationary Environments

Suzan Ece Ada, Georg Martius, Emre Ugur, Erhan Oztop p8910-8932 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha V Naidu, Colin White p2403-2426 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization

Bo Du, Xuekang Zhu, Xiaochen Ma, Chenfan Qu, Kaiwen Feng, Zhe Yang, Chi-Man Pun, Jian liu, Ji-Zhe Zhou p72073-72102 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation

Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar, Prashant Nair p187278-187309 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection

Zhihao Sun, Haoran Jiang, Haoran Chen, Yixin Cao, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang p169963-170002 from Advances in Neural Information Processing Systems 38

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Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning

Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shao-Yuan Li, Songcan Chen p58341-58375 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation

Cécile Rousseau, Tobia Boschi, Giandomenico Cornacchia, Dhaval Salwala, Alessandra Pascale, Juan Moreno p87120-87150 from Advances in Neural Information Processing Systems 38

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ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning

Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long p30367-30389 from Advances in Neural Information Processing Systems 36

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FORLA: Federated Object-Centric Representation Learning with Slot Attention

Guiqiu Liao, Matjaz Jogan, Eric Eaton, Daniel Hashimoto p111934-111968 from Advances in Neural Information Processing Systems 38

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Formal Models of Active Learning from Contrastive Examples

Farnam Mansouri, Hans Simon, Adish Singla, Yuxin Chen, Sandra Zilles p108872-108897 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Formalizing Consistency and Coherence of Representation Learning

Harald Strömfelt, Luke Dickens, Artur Garcez, Alessandra Russo p6873-6885 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Formalizing locality for normative synaptic plasticity models

Colin Bredenberg, Ezekiel Williams, Cristina Savin, Blake Richards, Guillaume Lajoie p5653-5684 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Formulating Discrete Probability Flow Through Optimal Transport

Pengze Zhang, Hubery Yin, Chen Li, Xiaohua Xie p73008-73020 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Formulating Robustness Against Unforeseen Attacks

Sihui Dai, Saeed Mahloujifar, Prateek Mittal p8647-8661 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Fortifying Time Series: DTW-Certified Robust Anomaly Detection

Shijie Liu, Tansu Alpcan, Christopher Leckie, Sarah Erfani p183723-183747 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains

Nicolai Engelmann, Heinz Koeppl p8240-8251 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards

Bryan Wilder, Angela Zhou p33752-33763 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding

Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals

ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching

ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation

Forecasting Future World Events with Neural Networks

Forecasting Human Trajectory from Scene History

Forecasting in Offline Reinforcement Learning for Non-stationary Environments

ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization

Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning

Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning

FORLA: Federated Object-Centric Representation Learning with Slot Attention

Formal Models of Active Learning from Contrastive Examples

Formalizing Consistency and Coherence of Representation Learning

Formalizing locality for normative synaptic plasticity models

Formulating Discrete Probability Flow Through Optimal Transport

Formulating Robustness Against Unforeseen Attacks

Fortifying Time Series: DTW-Certified Robust Anomaly Detection

Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains

Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards

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