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Workshop
Fri 7:40 Local Signal Adaptivity: Feature learning in Neural networks beyond kernels
Aarti Singh
Poster
Wed 2:30 MonoDistill: Learning Spatial Features for Monocular 3D Object Detection
Zhiyu Chong · Xinzhu Ma · Hong Zhang · Yuxin Yue · Haojie Li · Zhihui Wang · Wanli Ouyang
Poster
Tue 10:30 Transfer RL across Observation Feature Spaces via Model-Based Regularization
Yanchao Sun · Ruijie Zheng · Xiyao Wang · Andrew Cohen · Furong Huang
Spotlight
Mon 2:30 Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood · Ian Mason · Chris Williams · Bernhard Schoelkopf
Poster
Mon 2:30 Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood · Ian Mason · Chris Williams · Bernhard Schoelkopf
Poster
Wed 10:30 Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates
Safa Alver · Doina Precup
Poster
Mon 10:30 Salient ImageNet: How to discover spurious features in Deep Learning?
Sahil Singla · Soheil Feizi
Workshop
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity
Shiyun Xu · Zhiqi Bu · Pratik A Chaudhari · Ian Barnett
Poster
Tue 2:30 Learning meta-features for AutoML
Herilalaina Rakotoarison · Louisot Milijaona · Andry RASOANAIVO · Michele Sebag · Marc Schoenauer
Spotlight
Tue 2:30 Learning meta-features for AutoML
Herilalaina Rakotoarison · Louisot Milijaona · Andry RASOANAIVO · Michele Sebag · Marc Schoenauer
Poster
Wed 18:30 Neural Networks as Kernel Learners: The Silent Alignment Effect
Alexander Atanasov · Blake Bordelon · Cengiz Pehlevan
Poster
Thu 10:30 Learning Curves for SGD on Structured Features
Blake Bordelon · Cengiz Pehlevan