Michael Tsang

6 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 ❓ The Questioner 🚀 Conference Pioneer

Venues

ICLR (2) NeurIPS (2) MICCAI (1) WACV (1)

Top co-authors

Yan Liu (5) Sirisha Rambhatla (2) Dehua Cheng (2) Hanpeng Liu (2) Loc Trinh (1) Teresa Tsang (1) Hooman Vaseli (1) Ang Nan Gu (1) Eric Zhou (1) Purang Abolmaesumi (1)

Research topics

Artificial Intelligence (4) Core AI (4) Machine Learning (3) Core Methods (3) Deep Learning (2) Architectures (2) Computer Vision (1) Analysis (1) Application Areas (1)

Keywords

feature interaction (3) prototype learning (1) knowledge transfer (1) deepfake detection (1) neural network interpretability (1) feature attribution (1) visual explanation (1) temporal analysis (1) recommender system (1) generalized additive model (1) interaction modeling (1) model transparency (1) prediction model (1) feedforward neural network (1) neural network weight (1) neural network (1) interpretable explanation (1) nonlinear activation (1) statistical interaction (1) neural interaction detection (1)

Papers

Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography MICCAI 2024 Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes WACV 2021 Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection ICLR 2020 How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions NeurIPS 2020 Detecting Statistical Interactions from Neural Network Weights ICLR 2018 Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability NeurIPS 2018