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1934 Results
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Poster
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Wed 7:30 |
Towards convergence to Nash equilibria in two-team zero-sum games Fivos Kalogiannis · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis |
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Poster
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Exploring Temporally Dynamic Data Augmentation for Video Recognition Taeoh Kim · Jinhyung Kim · Minho Shim · Sangdoo Yun · Myunggu Kang · Dongyoon Wee · Sangyoun Lee |
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Poster
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Understanding Train-Validation Split in Meta-Learning with Neural Networks Xinzhe Zuo · Zixiang Chen · Huaxiu Yao · Yuan Cao · Quanquan Gu |
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Poster
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Wed 2:30 |
Bispectral Neural Networks Sophia Sanborn · Christian Shewmake · Bruno Olshausen · Christopher Hillar |
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Workshop
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Fri 0:00 |
First workshop on "Machine Learning & Global Health". Elizaveta Semenova · Seth Flaxman · Swapnil Mishra · Abraham Owodunni · Timothy Wolock · Juliette Unwin · Emmanuelle Dankwa · Adam Howes |
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Poster
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A Learning Based Hypothesis Test for Harmful Covariate Shift Tom Ginsberg · Zhongyuan Liang · Rahul G. Krishnan |
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Poster
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Wed 7:30 |
NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference Benfeng Xu · Quan Wang · Zhendong Mao · Yajuan Lyu · Qiaoqiao She · Yongdong Zhang |
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Poster
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Mon 7:30 |
Selective Frequency Network for Image Restoration Yuning Cui · Yi Tao · Zhenshan Bing · Wenqi Ren · Xinwei Gao · Xiaochun Cao · Kai Huang · Alois Knoll |
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Poster
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ImaginaryNet: Learning Object Detectors without Real Images and Annotations Minheng Ni · Zitong Huang · Kailai Feng · Wangmeng Zuo |
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Poster
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Mon 2:30 |
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation Yannick Hogewind · Thiago D. Simão · Tal Kachman · Nils Jansen |
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Oral
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Tue 1:20 |
Omnigrok: Grokking Beyond Algorithmic Data Ziming Liu · Eric Michaud · Max Tegmark |
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Oral Session
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Mon 1:00 |
Oral 1 Track 1: Deep Learning and representational learning I |