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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)(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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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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Wed 16:30
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Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times
Pei Xiao · Zizhen Zhang · Jinbiao Chen · Jiahai Wang · Zhenzhen Zhang
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Poster
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Wed 11:00
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SAM-Guided Masked Token Prediction for 3D Scene Understanding
Zhimin Chen · Liang Yang · Yingwei Li · Longlong Jing · Bing Li
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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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Thu 11:00
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Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
Haixiang Sun · Ye Shi
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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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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 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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Thu 16:30
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Approximation Rate of the Transformer Architecture for Sequence Modeling
Haotian Jiang · Qianxiao Li
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