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Workshop
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Clustering and Alignment: Understanding the Training Dynamics in Modular Addition
Tiberiu Mușat
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Workshop
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Sun 16:30
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Training Dynamics of Convolutional Neural Networks for Learning the Derivative Operator
Erik Wang · Yongji Wang · Ching-Yao Lai
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Workshop
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On the Relationship Between Model Training Dynamics and Early Pruning Periods
Elvis Nunez · Stefano Soatto
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Workshop
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Dynamic Curriculum Regularization for Enhanced Training of Physics-Informed Neural Networks
Callum Duffy · Gergana V Velikova
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Workshop
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NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
Yongchang Hao · Yanshuai Cao · Lili Mou
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Poster
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Fri 11:00
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Sparse maximal update parameterization: A holistic approach to sparse training dynamics
Nolan Dey · Shane Bergsma · Joel Hestness
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Workshop
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Sun 11:49
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Steffen Schotthöfer & M. Paul Laiu. Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
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Poster
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Wed 16:30
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Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
Siyu Chen · Heejune Sheen · Tianhao Wang · Zhuoran Yang
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Workshop
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Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks
Shikai Qiu · Atish Agarwala · Lechao Xiao · Jeffrey Pennington
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Workshop
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Characterizing the Training Dynamics of Private Fine-tuning with Langevin diffusion
Shuqi Ke · Charlie Hou · Sewoong Oh · Giulia Fanti
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Workshop
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Fairness Dynamics During Training
Krishna Patel · Nivedha Sivakumar · Barry-John Theobald · Luca Zappella · Nicholas Apostoloff
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Poster
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Fri 16:30
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Dynamic Rescaling for Training GNNs
Nimrah Mustafa · Rebekka Burkholz
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