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137 Results
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Workshop
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In Defense of Zero Imputation for Tabular Deep Learning John Van Ness · Madeleine Udell |
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Poster
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Wed 8:45 |
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning JunHoo Lee · Jayeon Yoo · Nojun Kwak |
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Workshop
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PREMIER-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng · Yongyuan Liang · Xiyao Wang · Shuang Ma · Hal Daumé III · Huazhe Xu · John Langford · Praveen Palanisamy · Kalyan Basu · Furong Huang |
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Workshop
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Improving few-shot learning-based protein engineering with evolutionary sampling Muhammad Zaki Jawaid · Aayushma Gautam · T. Gainous · Dan Hart · Robin Yeo · Timothy Daley |
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Poster
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Wed 8:45 |
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria Fivos Kalogiannis · Ioannis Panageas |
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Workshop
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Learning Distributed Protocols with Zero Knowledge Yujie Hui · Drew Ripberger · Xiaoyi Lu · Yang Wang |
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Workshop
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Large Language Models are Zero Shot Hypothesis Proposers Biqing Qi · kaiyan zhang · Haoxiang Li · Kai Tian · Sihang Zeng · Zhang-Ren Chen · Bowen Zhou |
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Poster
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Tue 8:45 |
Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models wenqiang wang · Chongyang Du · Tao Wang · Kaihao Zhang · Wenhan Luo · Lin Ma · Wei Liu · Xiaochun Cao |
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Poster
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Tue 8:45 |
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner · Erik Hellsten · Frank Hutter · Luigi Nardi |
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Workshop
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GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning Amani Namboori · Shivam Mangale · Andy Rosenbaum · Saleh Soltan |
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Poster
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Thu 8:45 |
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games Zaiwei Chen · Kaiqing Zhang · Eric Mazumdar · Asuman Ozdaglar · Adam Wierman |
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Poster
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Wed 8:45 |
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions Chanwoo Park · Kaiqing Zhang · Asuman Ozdaglar |