2 citations · 2 across the 5 of their papers we have counts for
6 papers
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning
Rajdeep Dutta, Qincheng Wang, Ankur Singh +3
This paper presents a novel RL algorithm, S-REINFORCE, which is designed to generate interpretable policies for dynamic decision-making tasks. The proposed algorithm leverages two…
Robust Representation Learning with Self-Distillation for Domain Generalization
Ankur Singh, Senthilnath Jayavelu
Despite the recent success of deep neural networks, there remains a need for effective methods to enhance domain generalization using vision transformers. In this paper, we propose…
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
Dwarikanath Mahapatra, Ankur Singh
While medical image segmentation is an important task for computer aided diagnosis, the high expertise requirement for pixelwise manual annotations makes it a challenging and time…
The Curious Case of Convex Neural Networks
Sarath Sivaprasad, Ankur Singh, Naresh Manwani +1
In this paper, we investigate a constrained formulation of neural networks where the output is a convex function of the input. We show that the convexity constraints can be enforce…
Adversarial Incremental Learning
Ankur Singh
Although deep learning performs really well in a wide variety of tasks, it still suffers from catastrophic forgetting -- the tendency of neural networks to forget previously learne…
Video Colorization using CNNs and Keyframes extraction: An application in saving bandwidth
Ankur Singh, Anurag Chanani, Harish Karnick
In this paper, we tackle the problem of colorization of grayscale videos to reduce bandwidth usage. For this task, we use some colored keyframes as reference images from the colore…