paper-conference

A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawe, Yann Pequignot, Frédéric Precioso, Christian Gagné
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Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
Jonas Ngnawe, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné
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Challenges of AI driven diagnosis of chest X-rays transmitted through smart phones: a case study in COVID-19
Mariamma Antony, Siva Teja Kakileti, Rachit Shah, Sabyasachi Sahoo, Chiranjib Bhattacharyya, Geetha Manjunath
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Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks
Prashant Kumar, Dheeraj Vattikonda, Vedang Bhupesh Shenvi Nadkarni, Erqun Dong, Sabyasachi Sahoo
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Hessian Aware Low-Rank Weight Perturbation for Continual Learning
Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
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Domain Generalization by Minimizing Out-of-Distribution Detection
Sabyasachi Sahoo, Fan Zhou, Yann Pequignot, Jonas Ngnawe, Frédéric Precioso, Christian Gagné
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Grad-lidar-SLAM: Fully differentiable global SLAM for lidar with pose-graph optimization
FNU Aryan, Dheeraj Vattikonda, Erqun Dong, Sabyasachi Sahoo
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Dynamic to static lidar scan reconstruction using adversarially trained auto encoder
Sabyasachi Sahoo, Prashant Kumar, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Vishwanath
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An example conference paper
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Sabyasachi Sahoo, Robert Ford
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An example conference paper