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Abhinav Moudgil
Abhinav Moudgil
Mila, Concordia University
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
Long-Term Visual Object Tracking Benchmark
A Moudgil, V Gandhi
Asian Conference on Computer Vision, 629-645, 2018
982018
Soat: A scene-and object-aware transformer for vision-and-language navigation
A Moudgil, A Majumdar, H Agrawal, S Lee, D Batra
Advances in Neural Information Processing Systems 34, 7357-7367, 2021
492021
Contrast and classify: Training robust vqa models
Y Kant, A Moudgil, D Batra, D Parikh, H Agrawal
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
302021
Towards scaling difference target propagation by learning backprop targets
MM Ernoult, F Normandin*, A Moudgil*, S Spinney, E Belilovsky, I Rish, ...
International Conference on Machine Learning, 5968-5987, 2022
252022
Exploring 3 R's of long-term tracking: redetection, recovery and reliability
S Karthik, A Moudgil, V Gandhi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
52020
TMVA 4
A Hoecker, P Speckmayer, J Stelzer, J Therhaag, E von Toerne, H Voss
arXiv preprint physics/0703039, 2017
52017
Contrast and classify: Alternate training for robust vqa
Y Kant, A Moudgil, D Batra, D Parikh, H Agrawal
ArXiv, abs/2010.06087 3, 2020
42020
Learning to Optimize with Recurrent Hierarchical Transformers
A Moudgil, B Knyazev, G Lajoie, E Belilovsky
ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 0
1
Accelerating Training with Neuron Interaction and Nowcasting Networks
B Knyazev, A Moudgil, G Lajoie, E Belilovsky, S Lacoste-Julien
arXiv preprint arXiv:2409.04434, 2024
2024
Can We Learn Communication-Efficient Optimizers?
CÉ Joseph, B Thérien, A Moudgil, B Knyazev, E Belilovsky
arXiv preprint arXiv:2312.02204, 2023
2023
Learning Optimizers for Local SGD
CÉ Joseph, B Thérien, A Moudgil, B Knyazev, E Belilovsky
International Workshop on Federated Learning in the Age of Foundation Models …, 0
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Articles 1–11