Deep Learning

Mitesh M. Khapra
Krithi Shailya
Adithya Sai Lenka
Adhil Ahmed P M Shums
Parse Challenge 2022: Pulmonary Arteries Segmentation Using Swin U-net Transformer(Swin UNETR) and U-net
Roshan M S B
CDiNN – Convex difference neural networks
Scaling Graph Propagation Kernels for Predictive Learning
Towards Building ASR Systems for the Next Billion Users
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Unsupervised Deep Video Denoising
Semi-Supervised Deep Learning for Multiplex Networks
Coffee shop banter: Symbolic or Deep Learning? Promising directions of AI
Levelling up NLP for Indian Languages
Deep Learning Model for Chest X-ray Imaging
Interpretability of Deep Learning Models in Healthcare
Towards Autonomous PDE Solvers Automated Generation of Robust Numerical
Developing Temporal Convolutional Neural Networks comprising Nonlinear Oscillators for Non-Destructive Evaluation using Active Thermographic images
Attention Mechanisms in Deep Neural Networks
Ablation-CAM: Making AI trustworthy
Deep learning in biomedical image analysis
Ananya Sai
Siddharth Nishtala
Safety and Stability Preserving Reinforcement Learning
Yadav Mahesh Lorik
Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis
Rahul Vashisht
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks
A neural attention based approach for clickstream mining
Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data
Correlational Neural Networks