Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations

Qingyao Sun, Kevin Murphy, Sayna Ebrahimi, Alexander D'Amour p23789-23812 from Advances in Neural Information Processing Systems 36

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Beyond L1: Faster and Better Sparse Models with Skglm

Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias p38950-38965 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Beyond Last-Click: An Optimal Mechanism for Ad Attribution

Nan An, Weian Li, Qi Qi, Changyuan Yu, Liang Zhang p185672-185690 from Advances in Neural Information Processing Systems 38

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Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification

Davide Maran, Csaba Szepesvari p186529-186577 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Beyond Mahalanobis Distance for Textual OOD Detection

Pierre Colombo, Eduardo Dadalto, Guillaume Staerman, Nathan Noiry, Pablo Piantanida p17744-17759 from Advances in Neural Information Processing Systems 35

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Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking

Chen-Hao (Lance) Chao, Wei-Fang Sun, Hanwen Liang, Chun-Yi Lee, Rahul Krishnan p108113-108155 from Advances in Neural Information Processing Systems 38

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Beyond MLE: Convex Learning for Text Generation

Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng p8913-8936 from Advances in Neural Information Processing Systems 36

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Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation

xin zhang, Ziruo Zhang, JIAWEI DU, Zuozhu Liu, Joey Tianyi Zhou p127276-127296 from Advances in Neural Information Processing Systems 38

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Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends

Wang Xinrui, Wenhai Wan, Chuanxing Geng, Shao-Yuan Li, Songcan Chen p67589-67602 from Advances in Neural Information Processing Systems 36

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Beyond Neural Scaling Laws: Beating Power Law Scaling Via Data Pruning

Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari Morcos p19523-19536 from Advances in Neural Information Processing Systems 35

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Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes

Wei Wu, Xuan Tan, Yan Peng, Ling Chen, FangFang Li, Chuan Luo p145602-145625 from Advances in Neural Information Processing Systems 38

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Beyond Normal: On the Evaluation of Mutual Information Estimators

Pawel Czyz, Frederic Grabowski, Julia Vogt, Niko Beerenwinkel, Alexander Marx p16957-16990 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer

Sen Lin, Li Yang, Deliang Fan, Junshan Zhang p16165-16177 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time

Arvind Mahankali, Haochen Zhang, Kefan Dong, Margalit Glasgow, Tengyu Ma p57367-57480 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Beyond Optimism: Exploration With Partially Observable Rewards

Simone Parisi, Alireza Kazemipour, Michael Bowling p65415-65444 from Advances in Neural Information Processing Systems 37

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Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs

Sian-Yao Huang, Li-Hsien Chang, Che-Yu Lin, Cheng-Lin Yang p109017-109050 from Advances in Neural Information Processing Systems 38

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Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints

Ling Zhan, Junjie Huang, Xiaoyao Yu, Wenyu Chen, Tao Jia p190035-190067 from Advances in Neural Information Processing Systems 38

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Beyond Prediction: Managing the Repercussions of Machine Learning Applications

Aline Weber, Blossom Metevier, Yuriy Brun, Philip Thomas, Bruno Silva p11801-11835 from Advances in Neural Information Processing Systems 38

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Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense

Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu p42950-42960 from Advances in Neural Information Processing Systems 36

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Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints

Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco p8541-8568 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Beyond probability partitions: Calibrating neural networks with semantic aware grouping

Jia-Qi Yang, De-Chuan Zhan, Le Gan p58448-58460 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models

David Castillo-Bolado, Joseph Davidson, Finlay Gray, Marek Rosa p42528-42565 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation

Muquan Li, Hang Gou, Dongyang Zhang, Shuang Liang, Xiurui Xie, Deqiang Ouyang, Ke Qin p119758-119784 from Advances in Neural Information Processing Systems 38

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Beyond Real-World Benchmark Datasets: An Empirical Study of Node Classification with GNNs

Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka p5562-5574 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations

Beyond L1: Faster and Better Sparse Models with Skglm

Beyond Last-Click: An Optimal Mechanism for Ad Attribution

Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification

Beyond Mahalanobis Distance for Textual OOD Detection

Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking

Beyond MLE: Convex Learning for Text Generation

Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation

Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends

Beyond Neural Scaling Laws: Beating Power Law Scaling Via Data Pruning

Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes

Beyond Normal: On the Evaluation of Mutual Information Estimators

Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer

Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time

Beyond Optimism: Exploration With Partially Observable Rewards

Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs

Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints

Beyond Prediction: Managing the Repercussions of Machine Learning Applications

Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense

Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints

Beyond probability partitions: Calibrating neural networks with semantic aware grouping

Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models

Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation

Beyond Real-World Benchmark Datasets: An Empirical Study of Node Classification with GNNs

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