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718 Results
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Workshop
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Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning Rui Li · Marcus Klasson · Arno Solin · Martin Trapp |
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Poster
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Wed 11:00 |
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces Luis Cubillos · Guy Revach · Matthew Mender · Joseph Costello · Hisham Temmar · Aren Hite · Diksha Anoop Kumar Zutshi · Dylan Wallace · Xiaoyong Ni · Madison Kelberman · Matt Willsey · Ruud Van Sloun · Nir Shlezinger · Parag Patil · Anne Draelos · Cynthia Chestek |
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Poster
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Fri 11:00 |
Deep Bayesian Active Learning for Preference Modeling in Large Language Models Luckeciano Carvalho Melo · Panagiotis Tigas · Alessandro Abate · Yarin Gal |
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Workshop
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Probabilistic Active Few-Shot Learning in Vision-Language Models Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp |
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Workshop
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Sat 14:00 |
Invited Talk: Jacob R. Garnder - Bayesian optimization needs better deep learning Jacob Gardner |
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Oral
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Fri 15:50 |
Bayesian-guided Label Mapping for Visual Reprogramming Chengyi Cai · Zesheng Ye · Lei Feng · Jianzhong Qi · Feng Liu |
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Workshop
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Probabilistic Active Few-Shot Learning in Vision-Language Models Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp |
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Workshop
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Uncertainty Quantification for Martian Surface Spectral Analysis using Bayesian Deep Learning Mark Hinds · Michael Geyer · Natalie Klein |
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Poster
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Wed 11:00 |
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework Parsa Moradi · Behrooz Tahmasebi · Mohammad Maddah-Ali |
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Poster
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Wed 11:00 |
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models Deep Pandey · Spandan Pyakurel · Qi Yu |
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Poster
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Fri 16:30 |
Visual Prompt Tuning in Null Space for Continual Learning Yue Lu · Shizhou Zhang · De Cheng · Yinghui Xing · Nannan Wang · PENG WANG · Yanning Zhang |
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Oral Session
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Fri 15:30 |
Oral Session 6D: Deep Learning Architecture, Infrastructure |