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Poster
Wed 16:30 Provable Benefit of Cutout and CutMix for Feature Learning
Junsoo Oh · Chulhee Yun
Poster
Fri 11:00 Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse
Samuel Lippl · Jack Lindsey
Poster
Fri 11:00 Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
Sangyun Shin · Yuhang He · Madhu Vankadari · Ta-Ying Cheng · Qian Xie · Andrew Markham · Niki Trigoni
Poster
Thu 16:30 Learning Successor Features the Simple Way
Raymond Chua · Arna Ghosh · Christos Kaplanis · Blake Richards · Doina Precup
Poster
Fri 11:00 Understanding and Minimising Outlier Features in Transformer Training
Bobby He · Lorenzo Noci · Daniele Paliotta · Imanol Schlag · Thomas Hofmann
Poster
Wed 11:00 How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks
Mo Zhou · Rong Ge
Poster
Wed 16:30 Induced Model Matching: Restricted Models Help Train Full-Featured Models
Usama Muneeb · Mesrob I Ohannessian
Workshop
Unlearning Tabular Data Without a "Forget Set''
Aviraj Newatia · Michael Cooper · Rahul Krishnan
Workshop
Progressive distillation induces an implicit curriculum
Abhishek Panigrahi · Bingbin Liu · Sadhika Malladi · Andrej Risteski · Surbhi Goel
Poster
Wed 16:30 Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
Siyu Chen · Heejune Sheen · Tianhao Wang · Zhuoran Yang
Poster
Thu 11:00 Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
Borja G. Leon · Francesco Riccio · Kaushik Subramanian · Peter Wurman · Peter Stone
Poster
Wed 11:00 Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
Andrew Bond · Zafer Dogan