Kailas Vodrahalli

3 papers · 2021–2024 · 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 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) ICML (1)

Top co-authors

James Y Zou (2) Linjun Zhang (1) Tobias Gerstenberg (1) Zhun Deng (1) Kenji Kawaguchi (1) James Zou (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Core Methods (2) Application Areas (1) Core AI (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1) Optimization & Theory (1)

Keywords

representation learning (1) semi-supervised learning (1) transfer learning (1) model calibration (1) confidence calibration (1) adversarial training (1) markov chain (1) generative model (1) human-ai collaboration (1) text-to-image model (1) human-ai interaction (1) prediction accuracy (1) ai advice (1) prompt (1) steerability (1)

Papers

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations ICML 2024 Uncalibrated Models Can Improve Human-AI Collaboration NeurIPS 2022 Adversarial Training Helps Transfer Learning via Better Representations NeurIPS 2021