Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
- Yihao Xue
- Siddharth Joshi
- et al.
- 2023
- ICML 2023
Publications
Identification of the Adversary from a Single Adversarial Example
- Minhao Cheng
- Rui Min
- et al.
- 2023
- ICML 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
- Mohammed Nowaz Rabbani Chowdhury
- Shuai Zhang
- et al.
- 2023
- ICML 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
- Tianchun Wang
- Farzaneh Mirzazadeh
- et al.
- 2023
- ICML 2023
End-to-end Differentiable Clustering with Associative Memories
- Bishwajit Saha
- Dmitry Krotov
- et al.
- 2023
- ICML 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
- Yifan Chen
- Rentian Yao
- et al.
- 2023
- ICML 2023
Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods
- Eldad Haber
- Brian Irwin
- et al.
- 2023
- ICML 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models
- Guanhua Zhang
- Jiabao Ji
- et al.
- 2023
- ICML 2023
PASE: Pro-Active Service Embedding in the Mobile Edge
- Oleg Kolosov
- Gala Yadgar
- et al.
- 2023
- ICDCS 2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
- Bing Luo
- Yutong Feng
- et al.
- 2023
- ICDCS 2023