firstbacksecondback
37 Results
|
Poster
|
Tue 10:30 |
Subspace Regularizers for Few-Shot Class Incremental Learning Afra Feyza Akyürek · Ekin Akyürek · Derry Wijaya · Jacob Andreas |
|
|
Poster
|
Mon 10:30 |
Stochastic Training is Not Necessary for Generalization Jonas Geiping · Micah Goldblum · Phil Pope · Michael Moeller · Tom Goldstein |
|
|
Poster
|
Tue 18:30 |
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu · Tianyi Luo · Yang Liu |
|
|
Oral
|
Wed 9:00 |
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang |
|
|
Poster
|
Wed 10:30 |
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine |
|
|
Poster
|
Mon 10:30 |
Noisy Feature Mixup Soon Hoe Lim · N. Benjamin Erichson · Francisco Utrera · Winnie Xu · Michael W Mahoney |
|
|
Poster
|
Wed 2:30 |
iFlood: A Stable and Effective Regularizer Yuexiang Xie · Zhen WANG · Yaliang Li · Ce Zhang · Jingren Zhou · Bolin Ding |
|
|
Poster
|
Mon 2:30 |
Stability Regularization for Discrete Representation Learning Adeel Pervez · Efstratios Gavves |
|
|
Poster
|
Wed 10:30 |
Topologically Regularized Data Embeddings Robin Vandaele · Bo Kang · Jefrey Lijffijt · Tijl De Bie · Yvan Saeys |
|
|
Poster
|
Thu 10:30 |
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes · Jean Ponce · Yann LeCun |
|
|
Poster
|
Wed 10:30 |
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect Yuqing Wang · Minshuo Chen · Tuo Zhao · Molei Tao |
|
|
Poster
|
Thu 18:30 |
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang · Yongyi Mao |