Long-Term Visual Object Tracking Benchmark. - Abhinav Moudgil; Vineet Gandhi (ACCV (2), 2018)

Exploring 3 R's of Long-term Tracking: Re-detection, Recovery and Reliability. - Shyamgopal Karthik; Abhinav Moudgil; Vineet Gandhi (WACV, 2020)

Contrast and Classify: Alternate Training for Robust VQA. - Yash Kant; Abhinav Moudgil; Dhruv Batra; Devi Parikh; Harsh Agrawal (CoRR, 2020)

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

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

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

Can We Learn Communication-Efficient Optimizers? - Charles-Étienne Joseph; Benjamin Thérien; Abhinav Moudgil; Boris Knyazev 001; Eugene Belilovsky (CoRR, 2023)

Accelerating Training with Neuron Interaction and Nowcasting Networks. - Boris Knyazev 001; Abhinav Moudgil; Guillaume Lajoie; Eugene Belilovsky; Simon Lacoste-Julien (ICLR, 2025)

Meta-learning Optimizers for Communication-Efficient Learning. - Charles-Étienne Joseph; Benjamin Thérien; Abhinav Moudgil; Boris Knyazev 001; Eugene Belilovsky (Trans. Mach. Learn. Res., 2025)

Celo: Training Versatile Learned Optimizers on a Compute Diet. - Abhinav Moudgil; Boris Knyazev 001; Guillaume Lajoie; Eugene Belilovsky (Trans. Mach. Learn. Res., 2025)

Learning Versatile Optimizers on a Compute Diet. - Abhinav Moudgil; Boris Knyazev 001; Guillaume Lajoie; Eugene Belilovsky (CoRR, 2025)

PyLO: Towards Accessible Learned Optimizers in PyTorch. - Paul Janson; Benjamin Thérien; Quentin Anthony; Xiaolong Huang; Abhinav Moudgil; Eugene Belilovsky (CoRR, 2025)

Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity. - Ningyuan Huang; Miguel Sarabia; Abhinav Moudgil; Pau Rodríguez; Luca Zappella; Federico Danieli (CoRR, 2025)