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14 Results
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Workshop
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Causal Markov Blanket Representations for Domain Generalization Prediction Naiyu Yin · Hanjing Wang · Tian Gao · Amit Dhurandhar · Qiang Ji |
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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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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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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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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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AutoVP: An Automated Visual Prompting Framework and Benchmark Hsi-Ai Tsao · Lei Hsiung · Pin-Yu Chen · Sijia Liu · Tsung-Yi Ho |
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Workshop
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Understanding the Effects of RLHF on LLM Generalisation and Diversity Robert Kirk · Ishita Mediratta · Christoforos Nalmpantis · Jelena Luketina · Eric Hambro · Edward Grefenstette · Roberta Raileanu |
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Workshop
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Fri 11:25 |
LLM Routing with Benchmark Datasets Tal Shnitzer · Anthony Ou · Mírian Silva · Kate Soule · Yuekai Sun · Justin Solomon · Neil Thompson · Mikhail Yurochkin |
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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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Competition
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Sat 7:30 |
[OOD Track] RoarANN: Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search Kai Zhang |
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Competition
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Sat 7:45 |
[OOD & Sparse track] PyANNS Zihao Wang |
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Poster
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Tue 15:15 |
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park · Jisoo Mok · Dahuin Jung · Saehyung Lee · Sungroh Yoon |