31 citations · 34 across the 9 of their papers we have counts for
3 papers · 1 filter
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
Udbhav Bamba, Neeraj Anand, Saksham Aggarwal +2
Binarization is a powerful compression technique for neural networks, significantly reducing FLOPs, but often results in a significant drop in model performance. To address this is…
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images
Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur +4
Convolutional neural network (CNN) approaches available in the current literature are designed to work primarily with low-resolution images. When applied on very large images, chal…
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning
Arnav Chavan, Rishabh Tiwari, Udbhav Bamba +1
Gradient based meta-learning methods are prone to overfit on the meta-training set, and this behaviour is more prominent with large and complex networks. Moreover, large networks r…