Paper

  • Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion

    Filip Szatkowski, Bartosz Wójcik, Mikolaj Piórczynski, Simone Scardapane p43245-43273 from Advances in Neural Information Processing Systems 37
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  • Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models

    Aaron Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu p21658-21674 from Advances in Neural Information Processing Systems 36
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  • Exploiting Contextual Objects and Relations for 3D Visual Grounding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting Contextual Objects and Relations for 3D Visual Grounding

    Li Yang, Chunfeng Yuan, Ziqi Zhang, Zhongang Qi, Yan Xu, Wei Liu, Ying Shan, Bing Li, Weiping Yang, Peng Li, Yan Wang, Weiming Hu p49542-49554 from Advances in Neural Information Processing Systems 36
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  • Exploiting Correlated Auxiliary Feedback in Parameterized Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting Correlated Auxiliary Feedback in Parameterized Bandits

    Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low p4430-4451 from Advances in Neural Information Processing Systems 36
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  • Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels

    Haoyang Luo, Zheng Zhang, Yadan Luo p50826-50849 from Advances in Neural Information Processing Systems 37
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  • Exploiting hidden structures in non-convex games for convergence to Nash equilibrium

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting hidden structures in non-convex games for convergence to Nash equilibrium

    Iosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras p66979-67006 from Advances in Neural Information Processing Systems 36
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  • Exploiting LLM Quantization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting LLM Quantization

    Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin Vechev p41709-41732 from Advances in Neural Information Processing Systems 37
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  • Exploiting Representation Curvature for Boundary Detection in Time Series

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting Representation Curvature for Boundary Detection in Time Series

    Yooju Shin, Jaehyun Park, Hwanjun Song, Susik Yoon, Byung Lee, Jae-Gil Lee p5974-5995 from Advances in Neural Information Processing Systems 37
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  • Exploiting Semantic Relations for Glass Surface Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting Semantic Relations for Glass Surface Detection

    Jiaying Lin, Yuen-Hei Yeung, Rynson Lau p22490-22504 from Advances in Neural Information Processing Systems 35
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  • Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection

    Fan Wang, Adams Wai Kin Kong p20580-20591 from Advances in Neural Information Processing Systems 35
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  • Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration

    Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, Bo Xu, Martin Müller p85658-85692 from Advances in Neural Information Processing Systems 37
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  • Exploration by Learning Diverse Skills through Successor State Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploration by Learning Diverse Skills through Successor State Representations

    Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Konigsbuch, Dennis Wilson, Emmanuel Rachelson p75277-75301 from Advances in Neural Information Processing Systems 37
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