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22 Results
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Workshop
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Transferable Adversarial Perturbations between Self-Supervised Speech Recognition Models |
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Poster
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Thu 13:30 |
Generative Pretraining for Black-Box Optimization Satvik Mehul Mashkaria · Siddarth Krishnamoorthy · Aditya Grover |
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Poster
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Tue 17:00 |
Diffusion Models for Black-Box Optimization Siddarth Krishnamoorthy · Satvik Mehul Mashkaria · Aditya Grover |
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Poster
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Tue 14:00 |
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu · Li Shen · Zhenyi Wang · Baoyuan Wu · Chun Yuan · Dacheng Tao |
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Poster
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Tue 14:00 |
Active Policy Improvement from Multiple Black-box Oracles Xuefeng Liu · Takuma Yoneda · Chaoqi Wang · Matthew Walter · Yuxin Chen |
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Poster
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Tue 17:00 |
PromptBoosting: Black-Box Text Classification with Ten Forward Passes Bairu Hou · Joe O'Connor · Jacob Andreas · Shiyu Chang · Yang Zhang |
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Workshop
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Fri 15:15 |
Iterative Machine Teaching for Black-box Markov Learners Chaoqi Wang · Sandra Zilles · Adish Singla · Yuxin Chen |
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Workshop
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Black-Box Batch Active Learning for Regression Andreas Kirsch |
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Workshop
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Transferable Adversarial Perturbations between Self-Supervised Speech Recognition Models Raphaël Olivier · Hadi Abdullah · Bhiksha Raj |
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Poster
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Tue 17:00 |
Constrained Efficient Global Optimization of Expensive Black-box Functions Wenjie Xu · Yuning Jiang · Bratislav Svetozarevic · Colin Jones |
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Workshop
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Black Box Adversarial Prompting for Foundation Models |
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Workshop
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Black Box Adversarial Prompting for Foundation Models Natalie Maus · Patrick Chao · Eric Wong · Jacob Gardner |