Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

An Iterative Self-Learning Framework for Medical Domain Generalization

Zhenbang Wu, Huaxiu Yao, David Liebovitz, Jimeng Sun p54833-54854 from Advances in Neural Information Processing Systems 36

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An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement

Gaku Morio, Christopher D Manning p39678-39702 from Advances in Neural Information Processing Systems 36

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An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning

Qian Lin, Zongkai Liu, Danying Mo, Chao Yu p140292-140319 from Advances in Neural Information Processing Systems 37

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An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions

Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer p20495-20539 from Advances in Neural Information Processing Systems 36

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An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization

Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa p36738-36767 from Advances in Neural Information Processing Systems 36

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An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions

Michael Scholkemper, Michael T Schaub p71358-71374 from Advances in Neural Information Processing Systems 36

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ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen p60012-60039 from Advances in Neural Information Processing Systems 37

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Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting

Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko p115021-115057 from Advances in Neural Information Processing Systems 37

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Analysing the Generalisation and Reliability of Steering Vectors

Daniel Tan, David Chanin, Aengus Lynch, Brooks Paige, Dimitrios Kanoulas, Adrià Garriga-Alonso, Robert Kirk p139179-139212 from Advances in Neural Information Processing Systems 37

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Analysis of Corrected Graph Convolutions

Robert Wang, Aseem Baranwal, Kimon Fontoulakis p128015-128052 from Advances in Neural Information Processing Systems 37

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Analysis of Variance of Multiple Causal Networks

Zhongli Jiang, Dabao Zhang p11580-11591 from Advances in Neural Information Processing Systems 36

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Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions

Chaitanya Goswami, Amanda Merkley p86749-86835 from Advances in Neural Information Processing Systems 37

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Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training

Atli Kosson, Bettina Messmer, Martin Jaggi p2914-2942 from Advances in Neural Information Processing Systems 37

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Analyzing Data-Centric Properties for Graph Contrastive Learning

Puja Trivedi, Ekdeep S Lubana, Mark Heimann, Danai Koutra, Jayaraman Thiagarajan p14030-14043 from Advances in Neural Information Processing Systems 35

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Analyzing Generalization of Neural Networks through Loss Path Kernels

Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam Nguyen, Lily Weng p70948-70982 from Advances in Neural Information Processing Systems 36

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Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective

Keitaro Sakamoto, Issei Sato p30937-30949 from Advances in Neural Information Processing Systems 35

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Analyzing Sharpness Along GD Trajectory: Progressive Sharpening and Edge of Stability

Zixuan Wang, Zhouzi Li, Jian Li p9983-9994 from Advances in Neural Information Processing Systems 35

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Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods

Tobit Klug, Dogukan Atik, Reinhard Heckel p65869-65893 from Advances in Neural Information Processing Systems 36

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Analyzing Vision Transformers for Image Classification in Class Embedding Space

Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig p40030-40041 from Advances in Neural Information Processing Systems 36

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Anchor Data Augmentation

Nora Schneider, Shirin Goshtasbpour, Fernando Perez-Cruz p74890-74902 from Advances in Neural Information Processing Systems 36

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Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning

Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian p13584-13596 from Advances in Neural Information Processing Systems 35

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AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution

Fangzhou Luo, Xiaolin Wu, Yanhui Guo p21255-21267 from Advances in Neural Information Processing Systems 36

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AndroidInTheWild: A Large-Scale Dataset For Android Device Control

Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy Lillicrap p59708-59728 from Advances in Neural Information Processing Systems 36

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AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars

Yue Wu, Yu Deng, Jiaolong Yang, Fangyun Wei, Qifeng Chen, Xin Tong p36188-36201 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

An Iterative Self-Learning Framework for Medical Domain Generalization

An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning

An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions

An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization

An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting

Analysing the Generalisation and Reliability of Steering Vectors

Analysis of Corrected Graph Convolutions

Analysis of Variance of Multiple Causal Networks

Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions

Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training

Analyzing Data-Centric Properties for Graph Contrastive Learning

Analyzing Generalization of Neural Networks through Loss Path Kernels

Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective

Analyzing Sharpness Along GD Trajectory: Progressive Sharpening and Edge of Stability

Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods

Analyzing Vision Transformers for Image Classification in Class Embedding Space

Anchor Data Augmentation

Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning

AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution

AndroidInTheWild: A Large-Scale Dataset For Android Device Control

AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars

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