Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least S Joshi, B Mirzasoleiman International Conference on Machine Learning (ICML), 2023., 2023 | 14* | 2023 |
Towards Mitigating Spurious Correlations in the Wild: A Benchmark & a more Realistic Dataset S Joshi, Y Yang, Y Xue, W Yang, B Mirzasoleiman arXiv preprint arXiv:2306.11957, 2023 | 11 | 2023 |
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression Y Xue, S Joshi, E Gan, PY Chen, B Mirzasoleiman International Conference on Machine Learning (ICML), 2023., 2023 | 9 | 2023 |
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift Y Xue, S Joshi, D Nguyen, B Mirzasoleiman The Twelfth International Conference on Learning Representations (ICLR), 2024., 2023 | 6 | 2023 |
Investigating the Benefits of Projection Head for Representation Learning Y Xue, E Gan, J Ni, S Joshi, B Mirzasoleiman The Twelfth International Conference on Learning Representations (ICLR), 2024., 2023 | 4 | 2023 |
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity S Joshi, A Jain, A Payani, B Mirzasoleiman International Conference on Artificial Intelligence and Statistics (AISTATS …, 2024 | 3 | 2024 |
Low Rank Pruning via Output Perturbation Y Liu*, S Joshi*, B Mirzasoleiman Sparsity in Neural Networks Workshop, 2022., 2022 | | 2022 |