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Workshop
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Multi-task Learning yields Disentangled World Models: Impact and Implications
Pantelis Vafidis · Aman Bhargava · Antonio Rangel
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Workshop
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Sun 11:30
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Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning, Misha Belkin
Misha Belkin
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Poster
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Thu 16:30
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Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
Lixu Wang · Xinyu Du · Qi Zhu
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Poster
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Wed 16:30
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Differential Privacy in Scalable General Kernel Learning via K-means Nystr{\"o}m Random Features
Bonwoo Lee · Jeongyoun Ahn · Cheolwoo Park
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Poster
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Thu 11:00
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Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation
Peng Tan · Hai-Tian Liu · Zhi-Hao Tan · Zhi-Hua Zhou
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Poster
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Fri 11:00
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Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
Ruihan Wu · Siddhartha Datta · Yi Su · Dheeraj Baby · Yu-Xiang Wang · Kilian Weinberger
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Workshop
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Between the Bars: Gradient-based Jailbreaks are Bugs that induce Features
Kaivalya Hariharan · Uzay Girit
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Poster
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Thu 11:00
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Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
Zhikang Chen · Min Zhang · Sen Cui · Haoxuan Li · Gang Niu · Mingming Gong · Changshui Zhang · Kun Zhang
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Workshop
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Between the Bars: Gradient-based Jailbreaks are Bugs that induce Features
Kaivalya Hariharan · Uzay Girit
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Poster
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Wed 11:00
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SyncTweedies: A General Generative Framework Based on Synchronized Diffusions
Jaihoon Kim · Juil Koo · Kyeongmin Yeo · Minhyuk Sung
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Workshop
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Toward Understanding How the Data Affects Neural Collapse: A Kernel-Based Approach
Vignesh Kothapalli · Tom Tirer
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Poster
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Fri 11:00
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Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
Spandan Madan · Will Xiao · Mingran Cao · Hanspeter Pfister · Margaret Livingstone · Gabriel Kreiman
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