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MA Kaili

4 papers · 2022–2023 · 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) 📈 Trend Setter

Venues

ICLR (2) NeurIPS (2)

Top co-authors

James Cheng (4) Bo Han (4) Han Yang (4) Yongqiang Chen (4) Yonggang Zhang (3) Yatao Bian (2) Tongliang Liu (2) Binghui Xie (2) Lin Zhang (1) Bingzhe Wu (1)

Research topics

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

Keywords

out-of-distribution generalization (2) graph neural network (2) graph classification (1) shape correspondence (1) empirical risk minimization (1) shape matching (1) multi-objective optimization (1) adversarial attack (1) node classification (1) invariant learning (1) graph convolution (1) causal model (1) graph injection attack (1) laplace-beltrami operator (1) invariant risk minimization (1) pareto optimal solution (1) 3d shape (1) 3d shape correspondence (1) 3d shape matching (1) geodesic error (1)

Papers

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization ICLR 2023 Exact Shape Correspondence via 2D graph convolution NeurIPS 2022 Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NeurIPS 2022 Understanding and Improving Graph Injection Attack by Promoting Unnoticeability ICLR 2022