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Poster
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Thu 9:00 |
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination YIZHEN ZHENG · Shirui Pan · Vincent CS Lee · Yu Zheng · Philip S Yu |
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Poster
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Thu 14:00 |
Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes Joachim Rubinstein · Benjamin Rubinstein |
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Poster
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Thu 14:00 |
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification Siddhant Kharbanda · Atmadeep Banerjee · Erik Schultheis · Rohit Babbar |
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Poster
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Wed 14:00 |
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces Nilesh Gupta · Patrick Chen · Hsiang-Fu Yu · Cho-Jui Hsieh · Inderjit Dhillon |
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Poster
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Wed 9:00 |
Inference and Sampling for Archimax Copulas Yuting Ng · Ali Hasan · Vahid Tarokh |
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Poster
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Tue 9:00 |
XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient Xiaoxia Wu · Zhewei Yao · Minjia Zhang · Conglong Li · Yuxiong He |
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Panel
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Tue 18:45 |
Panel 2B-4: Extreme Compression for… & Exploring Length Generalization… Cem Anil · Minjia Zhang |
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Workshop
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Machine Learning for Predicting Climate Extremes Hritik Bansal · Shashank Goel · Tung Nguyen · Aditya Grover |
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Workshop
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A Multi-Scale Deep Learning Framework for Projecting Weather Extremes Antoine Blanchard · Nishant Parashar · Boyko Dodov · Christian Lessig · Themis Sapsis |
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Workshop
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An Unsupervised Learning Perspective on the Dynamic Contribution to Extreme Precipitation Changes Griffin Mooers · Tom Beucler · Mike Pritchard · Stephan Mandt |
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Workshop
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Fri 15:43 |
Machine Learning for Predicting Climate Extremes Hritik Bansal · Shashank Goel · Tung Nguyen · Aditya Grover |
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Workshop
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Fri 16:21 |
A Multi-Scale Deep Learning Framework for Projecting Weather Extremes Antoine Blanchard · Nishant Parashar · Boyko Dodov · Christian Lessig · Themis Sapsis |