Sabyasachi Sahoo

3 papers · 2021–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

AAAI (2) NeurIPS (1)

Top co-authors

Christian Gagné (2) Jonas Ngnawé (2) Frederic Precioso (2) Vanshil Shah (1) Abhinav Jain (1) Yann Batiste Pequignot (1) Vineetha Kondameedi (1) Mostafa ElAraby (1) Vinay Vishwanath (1) Prashant Kumar (1)

Research topics

Deep Learning (3) Machine Learning (3) Application Areas (3) Learning Types · Deep Learning (3) Learning Types · Machine Learning (3) Computer Vision (1) Core Methods (1) Domain-Specific (1) Optimization & Theory (1) Techniques (1)

Keywords

domain adaptation (2) adversarial robustness (1) domain generalization (1) test-time adaptation (1) scene reconstruction (1) unsupervised domain adaptation (1) distribution shift (1) vulnerability detection (1) gradient alignment (1) robust classifier (1) layer selection (1) logit margin (1) adversarial vulnerability (1) lidar scanning (1) margin consistency (1) lidar scan reconstruction (1) adversarial learning (1) non-robust sample (1)

Papers

A Layer Selection Approach to Test Time Adaptation AAAI 2025 Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers NeurIPS 2024 Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder AAAI 2021