Chavan, Arnav

8 publications

TMLR 2025 Rethinking the Value of Training-Free Structured Pruning of LLMs Nahush Lele, Arnav Chavan, Aryamaan Thakur, Deepak Gupta

IJCAI 2024 Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak K. Gupta

TMLR 2024 Pushing the Limits of Gradient Descent for Efficient Learning on Large Images Deepak Gupta, Gowreesh Mago, Arnav Chavan, Dilip Prasad, Rajat Mani Thomas

NeurIPSW 2023 Patch Gradient Descent: Training Neural Networks on Very Large Images Deepak Gupta, Gowreesh Mago, Arnav Chavan, Dilip Prasad, Rajat Mani Thomas

ICCVW 2023 RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen

CVPR 2022 Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta

CVPR 2022 Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing

ICLR 2021 ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak Gupta