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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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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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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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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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Workshop
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Non-Uniform Sampling and Adaptive Optimizers in Deep Learning
Thibault Lahire
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Workshop
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Almost Equivariance via Lie Algebra Convolutions
Daniel McNeela
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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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Workshop
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Fri 14:50
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Poster session 2
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Workshop
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Tree-Regularized Tabular Embeddings
Xuan Li · Yun Wang · Bo Li
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Workshop
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Cooperative Logistics: Can AI Enable Trustworthy Cooperation at Scale?
Stephen Mak · Tim Pearce · Matthew Macfarlane · Liming Xu · Michael Ostroumov · Alexandra Brintrup
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Workshop
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Syllabus: Curriculum Learning Made Easy
Ryan Sullivan
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Workshop
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Work-in-Progress: Using Symbolic Planning with Deep RL to Improve Learning
Tianpei Yang · Srijita Das · Christabel Wayllace · Matthew Taylor
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