Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least. - Siddharth Joshi 004; Baharan Mirzasoleiman (ICML, 2023)

Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. - Yihao Xue; Siddharth Joshi 004; Eric Gan; Pin-Yu Chen; Baharan Mirzasoleiman (ICML, 2023)

Data-Efficient Contrastive Self-supervised Learning: Easy Examples Contribute the Most. - Siddharth Joshi 004; Baharan Mirzasoleiman (CoRR, 2023)

Towards Mitigating Spurious Correlations in the Wild: A Benchmark & a more Realistic Dataset. - Siddharth Joshi 004; Yu Yang 007; Yihao Xue; Wenhan Yang; Baharan Mirzasoleiman (CoRR, 2023)

Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity. - Siddharth Joshi 004; Arnav Jain; Ali Payani; Baharan Mirzasoleiman (AISTATS, 2024)

Investigating the Benefits of Projection Head for Representation Learning. - Yihao Xue; Eric Gan; Jiayi Ni; Siddharth Joshi 004; Baharan Mirzasoleiman (ICLR, 2024)

Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. - Yihao Xue; Siddharth Joshi 004; Dang Nguyen; Baharan Mirzasoleiman (ICLR, 2024)

Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks. - Siddharth Joshi 004; Jiayi Ni; Baharan Mirzasoleiman (ICLR, 2025)

MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation. - Siddharth Joshi 004; Besmira Nushi; Vidhisha Balachandran; Varun Chandrasekaran; Vibhav Vineet; Neel Joshi; Baharan Mirzasoleiman (CoRR, 2025)