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8 Results
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Workshop
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AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data Caroline Choi · Yoonho Lee · Annie Chen · Allan Zhou · Aditi Raghunathan · Chelsea Finn |
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Workshop
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Adaptive Sharpness-Aware Pruning for Robust Sparse Networks Anna Bair · Hongxu Yin · Maying Shen · Pavlo Molchanov · Jose M. Alvarez |
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Workshop
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Probing the Equivariance of Image Embeddings Cyrus Rashtchian · Charles Herrmann · Chun-Sung Ferng · Ayan Chakrabarti · Dilip Krishnan · Deqing Sun · Da-Cheng Juan · Andrew Tomkins |
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Workshop
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Predicting the Performance of Foundation Models via Agreement-on-the-Line Rahul Saxena · Aman Mehra · Taeyoun Kim · Christina Baek · J. Zico Kolter · Aditi Raghunathan |
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Workshop
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Fri 11:35 |
Does CLIP’s generalization performance mainly stem from high train-test similarity? Prasanna Mayilvahanan · Thaddäus Wiedemer · Evgenia Rusak · Matthias Bethge · Wieland Brendel |
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Poster
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Wed 8:45 |
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples Abulhair Saparov · Richard Yuanzhe Pang · Vishakh Padmakumar · Nitish Joshi · Mehran Kazemi · Najoung Kim · He He |
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Poster
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Thu 15:00 |
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets Damien Teney · Yong Lin · Seong Joon Oh · Ehsan Abbasnejad |
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Workshop
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AutoVP: An Automated Visual Prompting Framework and Benchmark Hsi-Ai Tsao · Lei Hsiung · Pin-Yu Chen · Sijia Liu · Tsung-Yi Ho |