Yash Kant

Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproducibility Challenge

yashkant

Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)

yashkant

Official code for the paper "Contrast and Classify: Training Robust VQA Models" published at ICCV, 2021

yashkant

This is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.

yashkant

Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments.

yashkant

Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.

yashkant