Paper

  • Thinker: Learning to Plan and Act

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thinker: Learning to Plan and Act

    Ivan Anokhin, Stephen Chung, David Krueger p22896-22933 from Advances in Neural Information Processing Systems 36
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  • Thinking Forward: Memory-Efficient Federated Finetuning of Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thinking Forward: Memory-Efficient Federated Finetuning of Language Models

    Yuriy Brun, Sunav Choudhary, Hui Guan, Kunjal Panchal, Nisarg Parikh, Lijun Zhang p69069-69119 from Advances in Neural Information Processing Systems 37
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  • Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization

    Idan Amir, Roi Livni, Nati Srebro p23539-23550 from Advances in Neural Information Processing Systems 35
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  • Thinned Random Measures for Sparse Graphs with Overlapping Communities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thinned Random Measures for Sparse Graphs with Overlapping Communities

    Michele Guindani, Federica Zoe Ricci, Erik Sudderth p38162-38175 from Advances in Neural Information Processing Systems 35
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  • This is the Way: Designing and Compiling LEPISZCZE, a Comprehensive NLP Benchmark for Polish

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    This is the Way: Designing and Compiling LEPISZCZE, a Comprehensive NLP Benchmark for Polish

    Lukasz Augustyniak, Roman Bartusiak, Denis Janiak, Arkadiusz Janz, Tomasz Kajdanowicz, Mikolaj Morzy, Maciej Piasecki, Albert Sawczyn, Piotr Szymanski, Adrian Szymczak, Kamil Tagowski, Marcin Watroba p21805-21818 from Advances in Neural Information Processing Systems 35
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  • This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations

    Chaofan Chen, Chiyu Ma, Cynthia Rudin, Brandon Zhao p39212-39235 from Advances in Neural Information Processing Systems 36
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  • This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization

    Anthony Bardou, Giovanni Ranieri, Patrick Thiran p42696-42737 from Advances in Neural Information Processing Systems 37
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  • Thompson Sampling Efficiently Learns to Control Diffusion Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thompson Sampling Efficiently Learns to Control Diffusion Processes

    Mohsen Bayati, Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh p3871-3884 from Advances in Neural Information Processing Systems 35
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  • Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox

    Richard Combes, Raymond Zhang p89437-89467 from Advances in Neural Information Processing Systems 37
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  • Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers

    Konrad Czechowski, Mateja Jamnik, Albert Qiaochu Jiang, Wenda Li, Piotr Milos, Tomasz Odrzygózdz, Szymon Tworkowski, Yuhuai Wu p8360-8373 from Advances in Neural Information Processing Systems 35
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  • Thought Cloning: Learning to Think while Acting by Imitating Human Thinking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thought Cloning: Learning to Think while Acting by Imitating Human Thinking

    Jeff Clune, Shengran Hu p44451-44469 from Advances in Neural Information Processing Systems 36
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  • Thought of Search: Planning with Language Models Through The Lens of Efficiency

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thought of Search: Planning with Language Models Through The Lens of Efficiency

    Michael Katz, Harsha Kokel, Shirin Sohrabi, Kavitha Srinivas p138491-138568 from Advances in Neural Information Processing Systems 37
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