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Poster
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Fri 16:30
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Nuclear Norm Regularization for Deep Learning
Christopher Scarvelis · Justin Solomon
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Workshop
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A theoretical study of the (L0,L1)-smoothness condition in deep learning
Y Cooper
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Session
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Thu 11:00
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Neural Tides: Oceanic Neural Granular Synthesizer
Sabina Hyoju Ahn · Ryan Millett · Seyeon Park
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Poster
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Wed 16:30
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Neural Isometries: Taming Transformations for Equivariant ML
Thomas Mitchel · Michael Taylor · Vincent Sitzmann
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Poster
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Fri 11:00
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MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
Rachel S.Y. Teo · Tan Nguyen
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Poster
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Thu 11:00
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Neural Concept Binder
Wolfgang Stammer · Antonia Wüst · David Steinmann · Kristian Kersting
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Poster
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Wed 16:30
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Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
Rachel S.Y. Teo · Tan Nguyen
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Poster
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Wed 11:00
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Optimal and Approximate Adaptive Stochastic Quantization
Ran Ben-Basat · Yaniv Ben-Itzhak · Michael Mitzenmacher · Shay Vargaftik
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Poster
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Thu 11:00
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AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
Yitao Xu · Tong Zhang · Sabine Süsstrunk
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Poster
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Fri 11:00
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On Sampling Strategies for Spectral Model Sharding
Denis Korzhenkov · Christos Louizos
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Poster
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Fri 16:30
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Deep Learning for Computing Convergence Rates of Markov Chains
Yanlin Qu · Jose Blanchet · Peter W Glynn
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Poster
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Thu 16:30
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Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
Shiyu Xia · Yuankun Zu · Xu Yang · Xin Geng
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