Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discovering and Overcoming Limitations of Noise-Engineered Data-Free Knowledge Distillation

Deepak Mishra, Piyush Raikwar p4902-4912 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration

Borja Leon, Francesco Riccio, Peter Stone, Kaushik Subramanian, Peter Wurman p49625-49648 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discovering Design Concepts for CAD Sketches

Hao Pan, Yuezhi Yang p28803-28814 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design

Greg Farquhar, Jakob Foerster, Matthew T Jackson, Minqi Jiang, Chris Lu, Jack Parker-Holder, Risto Vuorio, Shimon Whiteson p79980-79998 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning

Seungyong Moon, Bumsoo Park, Hyun Oh Song, Junyoung Yeom p63674-63686 from Advances in Neural Information Processing Systems 36

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Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions

Chengzhi Cao, Shuang Li, Chao Yang, Ruimao Zhang p67948-67959 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discovering plasticity rules that organize and maintain neural circuits

David Bell, Alison Duffy, Adrienne Fairhall p40732-40751 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discovering Preference Optimization Algorithms with and for Large Language Models

Alex Chan, Claudio Fanconi, Jakob Foerster, Samuel Holt, Robert Lange, Chris Lu, Mihaela van der Schaar p86528-86573 from Advances in Neural Information Processing Systems 37

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Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models

Xiaowen Chu, Peijie Dong, Yike Guo, Lujun Li, Qifeng Liu, Xiang Liu, Wenhan Luo, Zhenheng Tang, Qiang Wang, Wei Xue p141292-141317 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discovery of Single Independent Latent Variable

Ori Katz, Uri Shaham, Jonathan Svirsky, Ronen Talmon p25251-25263 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discovery of the Hidden World with Large Language Models

Yongqiang Chen, James Cheng, Mingming Gong, Bo Han, Chenxi Liu, Tongliang Liu, Kun Zhang p102307-102365 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents

Erin Bransom, Peter Clark, Marc-Alexandre Côté, Bhavana Dalvi Mishra, Peter Jansen, Tushar Khot, Bodhisattwa Prasad Majumder, Oyvind Tafjord p10088-10116 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning

Yoshua Bengio, Anirudh Goyal, Riashat Islam, Kenji Kawaguchi, Alex Lamb, Romain Laroche, Xin Li, Remi Tachet Des Combes, Hongyu Zang p3885-3899 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discrete Dictionary-based Decomposition Layer for Structured Representation Learning

Hyun-Chul Kim, Minho Lee, Taewon Park p21207-21235 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discrete Flow Matching

Yossi Adi, Ricky T. Q. Chen, Itai Gat, Felix Kreuk, Yaron Lipman, Tal Remez, Neta Shaul, Gabriel Synnaeve p133345-133385 from Advances in Neural Information Processing Systems 37

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Discrete Modeling via Boundary Conditional Diffusion Processes

Xiaocheng Feng, Yuxuan Gu, Lei Huang, Bing Qin, Yingsheng Wu, Weihong Zhong, Zekun Zhou, Kun Zhu p121204-121235 from Advances in Neural Information Processing Systems 37

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Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions

Taihei Oki, Shinsaku Sakaue p20988-21000 from Advances in Neural Information Processing Systems 35

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Discrete-Smoothness in Online Algorithms with Predictions

Yossi Azar, Debmalya Panigrahi, Noam Touitou p41932-41955 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discrete-state Continuous-time Diffusion for Graph Generation

Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Xiran Fan, Menghai Pan, Ruizhong Qiu, Hanghang Tong, Zhe Xu, Zhichen Zeng p79704-79740 from Advances in Neural Information Processing Systems 37

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Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization

Yixin Chen, Alan Kuhnle, Ankur Nath, Chunli Peng p108929-108973 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier

Justin Domke, Yuling Yao p36106-36131 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability

Usha Bhalla, Himabindu Lakkaraju, Suraj Srinivas p44105-44122 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DISCS: A Benchmark for Discrete Sampling

Hanjun Dai, Katayoon Goshvadi, Will Grathwohl, Xingchao Liu, Azade Nova, Dale Schuurmans, Haoran Sun, Ruqi Zhang p79035-79066 from Advances in Neural Information Processing Systems 36

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DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models

Yan Lu, Yuwang Wang, Tao Yang, Nanning Zheng p69130-69156 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Discovering and Overcoming Limitations of Noise-Engineered Data-Free Knowledge Distillation

Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration

Discovering Design Concepts for CAD Sketches

Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design

Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning

Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions

Discovering plasticity rules that organize and maintain neural circuits

Discovering Preference Optimization Algorithms with and for Large Language Models

Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models

Discovery of Single Independent Latent Variable

Discovery of the Hidden World with Large Language Models

DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents

Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning

Discrete Dictionary-based Decomposition Layer for Structured Representation Learning

Discrete Flow Matching

Discrete Modeling via Boundary Conditional Diffusion Processes

Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions

Discrete-Smoothness in Online Algorithms with Predictions

Discrete-state Continuous-time Diffusion for Graph Generation

Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization

Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier

Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability

DISCS: A Benchmark for Discrete Sampling

DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models

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