Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations

Chanakya Ekbote, Ajinkya Deshpande, Arun Iyer, Sundararajan Sellamanickam, Ramakrishna Bairi p35403-35425 from Advances in Neural Information Processing Systems 36

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FiLM-Ensemble: Probabilistic Deep Learning Via Feature-Wise Linear Modulation

Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Wegner, Konrad Schindler p22229-22242 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

FiLM: Frequency Improved Legendre Memory Model for Long-Term Time Series Forecasting

Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin p12677-12690 from Advances in Neural Information Processing Systems 35

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Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining

Mikey Shechter, Yair Carmon p108192-108223 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

FilterNet: Harnessing Frequency Filters for Time Series Forecasting

Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan p55115-55140 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation

Weining Ren, Hongjun Wang, Xiao Tan, Kai Han p169344-169377 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods

Dennis Wei, Inkit Padhi, Soumya Ghosh, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Maria Chang p118221-118255 from Advances in Neural Information Processing Systems 38

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FINALLY: fast and universal speech enhancement with studio-like quality

Nicholas Babaev, Kirill Tamogashev, Azat Saginbaev, Ivan Shchekotov, Hanbin Bae, Hosang Sung, Wonjun Lee, Hoon-Young Cho, Pavel Andreev p934-965 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

FinBen: A Holistic Financial Benchmark for Large Language Models

Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, et al. p95716-95743 from Advances in Neural Information Processing Systems 37

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FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making

Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yuechen Jiang, Yupeng Cao, Zhi Chen, Jordan Suchow, Zhenyu Cui, Rong Liu, Zhaozhuo Xu, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie p137010-137045 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation

Hongcheng Wang, Andy Guan Hong Chen, Xiaoqi Li, Mingdong Wu, Hao Dong p16353-16366 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization

Michael Green, Matan Levy, Issar Tzachor, Dvir Samuel, Nir Darshan, Rami Ben-Ari p134780-134811 from Advances in Neural Information Processing Systems 38

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FIND: A Function Description Benchmark for Evaluating Interpretability Methods

Sarah Schwettmann, Tamar Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba p75688-75715 from Advances in Neural Information Processing Systems 36

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Finding and Listing Front-Door Adjustment Sets

Hyunchai Jeong, Jin Tian, Elias Bareinboim p33173-33185 from Advances in Neural Information Processing Systems 35

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Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms

Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang p54094-54113 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach

Ziyi Chen, Shaocong Ma, Yi Zhou p25560-25572 from Advances in Neural Information Processing Systems 35

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Finding Counterfactually Optimal Action Sequences in Continuous State Spaces

Stratis Tsirtsis, Manuel Rodriguez p3220-3247 from Advances in Neural Information Processing Systems 36

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Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing

Nataniel Ruiz, Sarah Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff p14403-14418 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Finding good policies in average-reward Markov Decision Processes without prior knowledge

Adrienne Tuynman, Rémy Degenne, Emilie Kaufmann p109948-109979 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Finding Local Minima Efficiently in Decentralized Optimization

Wenhan Xian, Heng Huang p62892-62921 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW

Fengmiao Bian, Jinyang ZHENG, Ziyun Liu, Jianzhou Luo, Jian-Feng CAI p66701-66735 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Finding Naturally Occurring Physical Backdoors in Image Datasets

Emily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji, Josephine Passananti, Emilio Andere, Heather Zheng, Ben Zhao p22103-22116 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models

Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch p88236-88278 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Finding Optimal Arms in Non-Stochastic Combinatorial Bandits with Semi-Bandit Feedback and Finite Budget

Jasmin Brandt, Viktor Bengs, Björn Haddenhorst, Eyke Hüllermeier p20621-20634 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations

FiLM-Ensemble: Probabilistic Deep Learning Via Feature-Wise Linear Modulation

FiLM: Frequency Improved Legendre Memory Model for Long-Term Time Series Forecasting

Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining

FilterNet: Harnessing Frequency Filters for Time Series Forecasting

Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation

Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods

FINALLY: fast and universal speech enhancement with studio-like quality

FinBen: A Holistic Financial Benchmark for Large Language Models

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making

Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation

Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization

FIND: A Function Description Benchmark for Evaluating Interpretability Methods

Finding and Listing Front-Door Adjustment Sets

Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms

Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach

Finding Counterfactually Optimal Action Sequences in Continuous State Spaces

Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing

Finding good policies in average-reward Markov Decision Processes without prior knowledge

Finding Local Minima Efficiently in Decentralized Optimization

Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW

Finding Naturally Occurring Physical Backdoors in Image Datasets

Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models

Finding Optimal Arms in Non-Stochastic Combinatorial Bandits with Semi-Bandit Feedback and Finite Budget

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