LIN Yong

7 papers · 2023–2024 · 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

Jump to papers ↓

+1 more ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird ❓ The Questioner

⚡ Prolific Year · Productive

Venues

ICLR (5) ICML (2)

Top co-authors

Tong Zhang (3) Weizhong Zhang (3) Renjie Pi (2) Hanze Dong (2) Jiahui Gao (2) Lu Tan (2) Yujiu Yang (2) Xiaoteng Ma (1) Rui Yang (1) Xiaobo Xia (1)

Research topics

Machine Learning (7) Application Areas (3) Learning Types (3) Optimization & Theory (3) Artificial Intelligence (2) Deep Learning (2) Reinforcement Learning (1) Core AI (1) Core Methods (1) Learning Paradigms (1) Methods (1) Models (1) Techniques (1)

Keywords

domain generalization (3) out-of-distribution generalization (2) adversarial learning (1) feature learning (1) variational inference (1) feature extraction (1) bayesian inference (1) knowledge distillation (1) kl divergence (1) label noise (1) invariance learning (1) particle-based inference (1) posterior approximation (1) bilevel optimization (1) ensemble method (1) synthetic data (1) ood generalization (1) spurious correlation (1) goal-conditioned rl (1) pre-trained language model (1)

Papers

Continuous Invariance Learning ICLR 2024 Spurious Feature Diversification Improves Out-of-distribution Generalization ICLR 2024 A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond ICLR 2023 Particle-based Variational Inference with Preconditioned Functional Gradient Flow ICLR 2023 Provably Invariant Learning without Domain Information ICML 2023 Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning ICLR 2023 What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML 2023