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Poster
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Tue 15:15
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A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications
Yanbo Chen · Weiwei Liu
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Workshop
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deep-REMAP: Parameterization of Stellar Spectra Using Regularized Multi-Task Learning
Sankalp Gilda
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Poster
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Tue 8:45
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Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks
Zihao Wang · Lei Wu
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Poster
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Tue 8:45
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Precise asymptotic generalization for multiclass classification with overparameterized linear models
David Wu · Anant Sahai
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Poster
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Tue 8:45
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On the Power of SVD in the Stochastic Block Model
Xinyu Mao · Jiapeng Zhang
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Poster
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Wed 15:00
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Max-Margin Token Selection in Attention Mechanism
Davoud Ataee Tarzanagh · Yingcong Li · Xuechen Zhang · Samet Oymak
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Poster
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Thu 8:45
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Representation Learning via Consistent Assignment of Views over Random Partitions
Thalles Santos Silva · Adín Ramírez Rivera
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Workshop
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Sat 9:05
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Low-precision Sampling for Probabilistic Deep Learning
Ruqi Zhang
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Poster
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Tue 15:15
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Representational Strengths and Limitations of Transformers
Clayton Sanford · Daniel Hsu · Matus Telgarsky · Matus Telgarsky
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Poster
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Thu 15:00
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Tester-Learners for Halfspaces: Universal Algorithms
Aravind Gollakota · Adam Klivans · Konstantinos Stavropoulos · Arsen Vasilyan
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Poster
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Tue 15:15
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Sparse Deep Learning for Time Series Data: Theory and Applications
Mingxuan Zhang · Yan Sun · Faming Liang
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Workshop
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Fri 7:50
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#15: A reinforcement-learning meta-control architecture based on the dual-process theory of moral decision-making
Maximilian Maier · Vanessa Cheung · Falk Lieder
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