Arnav Chavan

32 papers A* 4B 1Misc 1Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
S2D: Selective Spectral Decay for Quantization-Friendly Conditioning of Neural Activations.
CoRR
Arnav Chavan, Nahush Lele, Udbhav Bamba, Sankalp Dayal, Aditi Raghunathan, Deepak K. Gupta
2025 J jnl
Rethinking the Value of Training-Free Structured Pruning of LLMs.
Trans. Mach. Learn. Res.
Nahush Lele, Arnav Chavan, Aryamaan Thakur, Deepak K. Gupta
2024 — conf
Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures.
Tiny Papers @ ICLR
Akash Guna R. T., Arnav Chavan, Deepak K. Gupta
2024 J jnl
Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures.
CoRR
Akash Guna R. T., Arnav Chavan, Deepak K. Gupta
2024 A* conf
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward.
IJCAI
Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak K. Gupta
2024 J jnl
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward.
CoRR
Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak K. Gupta
2024 J jnl
Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion.
CoRR
Koustav Ghosal, Abhranta Panigrahi, Arnav Chavan, ArunSingh, Deepak K. Gupta
2024 J jnl
Pushing the Limits of Gradient Descent for Efficient Learning on Large Images.
Trans. Mach. Learn. Res.
Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad, Rajat Mani Thomas
2024 — conf
Rethinking Compression: Reduced order modelling of Latent Features in Large Language Models.
Tiny Papers @ ICLR
Arnav Chavan, Nahush Lele, Deepak K. Gupta
2024 — conf
Surgical Feature-Space Decomposition of LLMs: Why, When and How?
ACL (1)
Arnav Chavan, Nahush Lele, Deepak K. Gupta
2024 J jnl
Surgical Feature-Space Decomposition of LLMs: Why, When and How?
CoRR
Arnav Chavan, Nahush Lele, Deepak K. Gupta
2023 — conf
A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models.
ACL (1)
Krithika Ramesh, Arnav Chavan, Shrey Pandit, Sunayana Sitaram
2023 Misc conf
On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers?
ICASSP
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
2023 J jnl
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.
CoRR
Arnav Chavan, Zhuang Liu, Deepak K. Gupta, Eric P. Xing, Zhiqiang Shen
2023 J jnl
Patch Gradient Descent: Training Neural Networks on Very Large Images.
CoRR
Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad
2023 — conf
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning.
ICCV (Workshops)
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
2023 J jnl
Rethinking Compression: Reduced Order Modelling of Latent Features in Large Language Models.
CoRR
Arnav Chavan, Nahush Lele, Deepak K. Gupta
2022 A* conf
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning.
CVPR
Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta
2022 J jnl
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning.
CoRR
Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta
2022 J jnl
On designing light-weight object trackers through network pruning: Use CNNs or transformers?
CoRR
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
2022 — conf
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations.
IMPROVE
Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof
2022 A* conf
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space.
CVPR
Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing
2022 J jnl
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space.
CoRR
Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing
2021 A* conf
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations.
ICLR
Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta
2021 J jnl
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations.
CoRR
Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta
2021 J jnl
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal.
Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
2021 B conf
Rescaling CNN Through Learnable Repetition of Network Parameters.
ICIP
Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta
2021 J jnl
Rescaling CNN through Learnable Repetition of Network Parameters.
CoRR
Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta
2021 J jnl
Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations.
CoRR
Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof
2020 J jnl
A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR
Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
2020 J jnl
Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection.
CoRR
Suyog Jadhav, Udbhav Bamba, Arnav Chavan, Rishabh Tiwari, Aryan Raj
2020 — conf
Multi-plateau Ensemble For Endoscopic Artefact Segmentation And Detection.
EndoCV@ISBI
Suyog Jadhav, Udbhav Bamba, Arnav Chavan, Rishabh Tiwari, Aryan Raj