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59 Results
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Poster
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Transfer Learning with Deep Tabular Models Roman Levin · Valeriia Cherepanova · Avi Schwarzschild · Arpit Bansal · C. Bruss · Tom Goldstein · Andrew Wilson · Micah Goldblum |
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Poster
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Wed 2:30 |
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee · Annie Chen · Fahim Tajwar · Ananya Kumar · Huaxiu Yao · Percy Liang · Chelsea Finn |
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Workshop
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Attention-based Domain Adaption Forecasting of Streamflow in Data Sparse Regions Roland Oruche · Fearghal O'Donncha |
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Poster
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Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning XIANGYU PENG · Chen Xing · Prafulla Kumar Choubey · Chien-Sheng Wu · Caiming Xiong |
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Poster
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Is a Caption Worth a Thousand Images? A Study on Representation Learning Shibani Santurkar · Yann Dubois · Rohan Taori · Percy Liang · Tatsunori Hashimoto |
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Poster
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Mon 2:30 |
Editing models with task arithmetic Gabriel Ilharco · Marco Tulio Ribeiro · Mitchell Wortsman · Ludwig Schmidt · Hannaneh Hajishirzi · Ali Farhadi |
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Workshop
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Fri 5:13 |
The Role of Pre-training Data in Transfer Learning Rahim Entezari · Mitchell Wortsman · Olga Saukh · Moein Shariatnia · Hanie Sedghi · Ludwig Schmidt |
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Poster
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Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning Zhen Wang · Rameswar Panda · Leonid Karlinsky · Rogerio Feris · Huan Sun · Yoon Kim |
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Poster
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Wed 2:30 |
Linear Connectivity Reveals Generalization Strategies Jeevesh Juneja · Rachit Bansal · Kyunghyun Cho · João Sedoc · Naomi Saphra |
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Workshop
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Thu 4:00 |
TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns Soma Onishi · Kenta Oono · Kohei Hayashi |
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Poster
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Mon 7:30 |
The hidden uniform cluster prior in self-supervised learning Mahmoud Assran · Randall Balestriero · Quentin Duval · Florian Bordes · Ishan Misra · Piotr Bojanowski · Pascal Vincent · Michael Rabbat · Nicolas Ballas |