Joshi, Siddharth

9 publications

ICLR 2025 Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks Siddharth Joshi, Jiayi Ni, Baharan Mirzasoleiman

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

WACV 2024 Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks Clemens JS Schaefer, Siddharth Joshi, Shan Li, Raul Blazquez

CoLLAs 2024 Hadamard Domain Training with Integers for Class Incremental Quantized Learning Martin Schiemer, Clemens JS Schaefer, Mark James Horeni, Yu Emma Wang, Juan Ye, Siddharth Joshi

ICLR 2024 Investigating the Benefits of Projection Head for Representation Learning Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman

ICLR 2024 Understanding the Robustness of Multi-Modal Contrastive Learning to Distribution Shift Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman

ICML 2023 Data-Efficient Contrastive Self-Supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least Siddharth Joshi, Baharan Mirzasoleiman

ICMLW 2023 Which Features Are Learned by Contrastive Learning? on the Role of Simplicity Bias in Class Collapse and Feature Suppression Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, 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, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman