Publications
2023
Patch Gradient descent: Training Neural Networks on Very Large Images
Deepak Gupta, Gowreesh Mago, Arnav Chavan, Dilip Prasad
Arxiv
On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNs or Transformers?
Saksham Aggarwal, Taneesh Gupta, Pawan Sahoo, Arnav Chavan, Rishabh Tiwari, Dilip Prasad, Deepak Gupta
International Conference on Acoustics, Speech, and Signal Processing (ICASSP'23)
Implicitly Rotation-Equivariant Neural Networks
Naman Khetan, Tushar Arora, Samee ur Rehman, Deepak Gupta
International Conference on Acoustics, Speech, and Signal Processing (ICASSP'23)
2022
MixBin: Towards Budgeted Binarization
Udbhav Bamba, Neeraj Anand, Dilip Prasad, Deepak Gupta
Arxiv
UltraMNIST Classification: A Benchmark to CNNs for Very Large Images
Deepak Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Suraj Sharan, Ertugul Demir, Dilip Prasad
Arxiv