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Poster
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Thu 11:00
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Scaling White-Box Transformers for Vision
Jinrui Yang · Xianhang Li · Druv Pai · Yuyin Zhou · Yi Ma · Yaodong Yu · Cihang Xie
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Poster
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Wed 11:00
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Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
Esraa Elelimy · Adam White · Michael Bowling · Martha White
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Poster
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Thu 11:00
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Improving Adaptivity via Over-Parameterization in Sequence Models
Yicheng Li · Qian Lin
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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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Workshop
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Adversarial Robust Deep Reinforcement Learning is Neither Robust Nor Safe
Ezgi Korkmaz
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Workshop
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Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li · Yuanzhi Li
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Poster
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Wed 11:00
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3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
Baohao Liao · Christof Monz
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Poster
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Wed 11:00
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Asynchronous Perception Machine for Efficient Test Time Training
Rajat Modi · Yogesh Rawat
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Workshop
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An empirical study of the -smoothness condition
Y Cooper
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Poster
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Fri 11:00
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Clustering in Causal Attention Masking
Nikita Karagodin · Yury Polyanskiy · Philippe Rigollet
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Poster
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Fri 11:00
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Accelerating Augmentation Invariance Pretraining
Jinhong Lin · Cheng-En Wu · Yibing Wei · Pedro Morgado
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Poster
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Thu 11:00
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Linguistic Collapse: Neural Collapse in (Large) Language Models
Robert Wu · Vardan Papyan
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