Ashutosh Sabharwal

5 papers · 2018–2024 · 4 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

CVPR (2) ECCV (1) EMNLP (1) Interspeech (1)

Top co-authors

Ashok Veeraraghavan (3) Nidal Moukaddam (2) Li Niu (2) Qingtao Tang (1) Manoj Kumar Sharma (1) Bishal Lamichhane (1) Kevin Jiang (1) Ankit B. Patel (1) Ankit Patel (1) Satpreet Harcharan Singh (1)

Research topics

Machine Learning (3) Learning Types (2) Artificial Intelligence (1) Deep Learning (1) Interdisciplinary (1) Natural Language Processing (1) Application Areas (1) Core AI (1) Core Methods (1) Generation (1) Models (1) Social (1)

Keywords

webly supervised learning (2) zero-shot learning (1) probabilistic modeling (1) knowledge transfer (1) fine-grained classification (1) label noise (1) variational autoencoder (1) mental health (1) depression severity (1) dyadic interaction (1) psychomotor retardation (1) semi-structured interview (1) large language model (1) category-level supervision (1) speech timing (1) speaker count estimator (1) theme extraction (1) scalable analysis (1) image classification (1) healthcare research (1)

Papers

RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews EMNLP 2024 Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment Interspeech 2022 3PointTM: Faster Measurement of High-Dimensional Transmission Matrices ECCV 2020 Learning From Noisy Web Data With Category-Level Supervision CVPR 2018 Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification CVPR 2018