Self-Supervised Models Are Good Teaching Assistants for Vision Transformers

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 29 of 33
1. Verfasser: Wu, Haiyan (VerfasserIn)
Weitere Verfasser: Gao, Yuting (VerfasserIn), Zhang, Yinqi (VerfasserIn), Lin, Shaohui (VerfasserIn), Xie, Yuan (VerfasserIn), Sun, Xing (VerfasserIn), Li, Ke (VerfasserIn)
Pages:2022
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2023
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
More than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize 2023 Wei, Alexander
COLA: Consistent Learning with Opponent-Learning Awareness 2023 Willi, Timon
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications 2023 Wolf, Lukas
Metric-Fair Classifier Derandomization 2023 Wu, Jimmy
Structural Entropy Guided Graph Hierarchical Pooling 2023 Wu, Junran
Characterizing and Overcoming the Greedy Nature of Learning in Multi-Modal Deep Neural Networks 2023 Wu, Nan
Self-Supervised Models Are Good Teaching Assistants for Vision Transformers 2023 Wu, Haiyan
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach 2023 Wu, Shuang
Flowformer: Linearizing Transformers with Conservation Flows 2023 Wu, Haixu
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning 2023 Xia, Jun
Optimal Clustering with Noisy Queries Via Multi-Armed Bandit 2023 Xia, Jinghui
Measure Estimation in the Barycentric Coding Model 2023 Werenski, Matthew
Continual Learning with Guarantees Via Weight Interval Constraints 2023 Wolczyk, Maciej
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning 2023 Wiltzer, Harley E.
Model Soups: Averaging Weights of Multiple Fine-Tuned Models Improves Accuracy Without Increasing Inference Time 2023 Wortsman, Mitchell
Variational Nearest Neighbor Gaussian Process 2023 Wu, Luhuan
Certifying Out-Of-Domain Generalization for Blackbox Functions 2023 Weber, Maurice G.
To Smooth Or Not? When Label Smoothing Meets Noisy Labels 2023 Wei, Jiaheng
Fishing for User Data in Large-Batch Federated Learning Via Gradient Magnification 2023 Wen, Yuxin
Fighting Fire with Fire: Avoiding DNN Shortcuts Through Priming 2023 Wen, Chuan
Alle Artikel auflisten