Deep Learning

Mitesh M. Khapra
Krithi Shailya
Adithya Sai Lenka
Parse Challenge 2022: Pulmonary Arteries Segmentation Using Swin U-net Transformer(Swin UNETR) and U-net
Adhil Ahmed P M Shums
Mallikarjun Annappagouda Jamadarkhani
RBCDSAI Seminar by Prof. Gugan Thoppe
RBCDSAI Distinguished Fellow Colloquium by Prof. Sriram Natarajan
IBSE ARP Talk - Prof. Vijay Tiwari
Eighth RBCDSAI LatentView Colloquium by Dr. Rema Padman
RBCDSAI Seminar Series - Prof Lavanya Marla
RBCDSAI Seminar - Prof Madhav Marathe
Ragul S
RBCDSAI Seminar - Gugan Thoppe
Utsav Dey
Scaling Graph Propagation Kernels for Predictive Learning
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Roshan M S B
RBCDSAI Seminar - Dr. Vivek Kumar
S Gokull
Seventh RBCDSAI LatentView Colloquium by Prof. V. S. Subrahmanian
RBCDSAI Seminar - Gugan Thoppe
RBCDSAI Distinguished Fellow Colloquium by Prof. Sriraam Natarajan
RBCDSAI 2-Day Workshop by Prof. Sriraam Natarajan
RBCDSAI Seminar - Balaji Vasan
Towards Building ASR Systems for the Next Billion Users
CDiNN – Convex difference neural networks
Argha Boksi
Unsupervised Deep Video Denoising
Semi-Supervised Deep Learning for Multiplex Networks
Prithaj Banerjee
Coffee shop banter: Symbolic or Deep Learning? Promising directions of AI
Levelling up NLP for Indian Languages
Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis
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
Rohan Saphal
Prasan Shedligeri
Rajan Kumar Soni
Dhruv Ramani
Akansh Maurya
Ananya Sai
Lakshmi Narayan Pandey
Karthik Thiagarajan
Abhishek Rao
Nikitha Moghe
Pritha Ganguly
Nitesh Methani
Preksha Nema
Sivapriya Vellaichamy
Sourav Kumar Mohanty
Manoj Bharadhwaj
Siddharth Nishtala
Safety and Stability Preserving Reinforcement Learning
Yadav Mahesh Lorik
Rahul Vashisht
Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data
A neural attention based approach for clickstream mining
Recovering from random pruning: On the plasticity of deep convolutional neural networks
Correlational neural networks
Aravind Easwar