Moudgil, Abhinav

10 publications

ICLR 2025 Accelerating Training with Neuron Interaction and Nowcasting Networks Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien

TMLR 2025 Celo: Training Versatile Learned Optimizers on a Compute Diet Abhinav Moudgil, Boris Knyazev, Guillaume Lajoie, Eugene Belilovsky

TMLR 2025 Meta-Learning Optimizers for Communication-Efficient Learning Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky

ICML 2025 Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity Ningyuan Teresa Huang, Miguel Sarabia, Abhinav Moudgil, Pau Rodriguez, Luca Zappella, Federico Danieli

NeurIPSW 2023 Learning Optimizers for Local SGD Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky

ICMLW 2023 Learning to Optimize with Recurrent Hierarchical Transformers Abhinav Moudgil, Boris Knyazev, Guillaume Lajoie, Eugene Belilovsky

ICML 2022 Towards Scaling Difference Target Propagation by Learning Backprop Targets Maxence M Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake Richards, Yoshua Bengio

ICCV 2021 Contrast and Classify: Training Robust VQA Models Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal

NeurIPS 2021 SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra

WACV 2020 Exploring 3 R's of Long-Term Tracking: Redetection, Recovery and Reliability Shyamgopal Karthik, Abhinav Moudgil, Vineet Gandhi