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Yilan Chen

5 papers · 2020–2024 · 3 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 (18) 📈 Trend Setter

Venues

NeurIPS (3) CVPR (1) ICML (1)

Top co-authors

Wei Huang (3) Tsui-Wei Weng (2) Lam Nguyen (2) Quanshi Zhang (1) Zhanpeng Zhou (1) Lily Weng (1) Hao Wang (1) Zijun Chen (1) Junchi Yan (1) Akash Srivastava (1)

Research topics

Deep Learning (5) Machine Learning (5) Optimization & Theory · Machine Learning (4) Architectures (3) Core Methods (3) Application Areas (2) Learning Types (2) Optimization & Theory · Deep Learning (2) Artificial Intelligence (1) Learning Paradigms (1) Techniques (1)

Keywords

deep neural network (2) neural network (2) knowledge distillation (1) neural architecture search (1) neural network interpretability (1) theoretical analysis (1) feature representation (1) pretraining (1) feature space (1) kernel regression (1) linear regression (1) kernel ridge regression (1) feature mapping (1) visual concept (1) support vector machine (1) generalization bound (1) gradient flow (1) dataset distillation (1) analytical solution (1) parameter space (1)

Papers

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm ICML 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Analyzing Generalization of Neural Networks through Loss Path Kernels NeurIPS 2023 On the Equivalence between Neural Network and Support Vector Machine NeurIPS 2021 Explaining Knowledge Distillation by Quantifying the Knowledge CVPR 2020