Jayaraman Thiagarajan

4 papers · 2020–2022 · 1 venue · 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

NeurIPS (4)

Top co-authors

Vivek Sivaraman Narayanaswamy (2) Timo Bremer (2) Akshay Chaudhari (1) Yi Zhou (1) Danai Koutra (1) Deepta Rajan (1) Jia Liang (1) Qunwei Li (1) Puja Trivedi (1) Jize Zhang (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Core AI (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Computer Vision (1) Generation (1) Optimization & Theory (1) Processing (1)

Keywords

neural tangent kernel (1) epistemic uncertainty (1) self-supervised learning (1) data augmentation (1) image synthesis (1) graph representation (1) model interpretability (1) machine learning (1) distribution shift (1) spectral analysis (1) outlier rejection (1) uncertainty estimation (1) generalization gap (1) counterfactual explanation (1) statistical mechanics (1) graph contrastive learning (1) graph neural network (1) manifold consistency (1) poisson disk sampling (1) sample design (1)

Papers

Analyzing Data-Centric Properties for Graph Contrastive Learning NeurIPS 2022 Single Model Uncertainty Estimation via Stochastic Data Centering NeurIPS 2022 Designing Counterfactual Generators using Deep Model Inversion NeurIPS 2021 A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning NeurIPS 2020