ICML publishes accepted papers only, so submitted and rejected papers cannot be counted; the only rejections on record are papers placed in Findings and rejections their authors made public. The numbers cover the listed professors; a paper with several of them is counted once. 8 accepted before 2026, 12 from 2026.
ICML does not publish its rejections, so they are estimated from the ICLR record of each paper's listed authors, as on their pages: about 3.3 submissions per accepted paper (see About).
By year
Professors with accepted papers
- Tuan Dam (HUST): 6 papers
- Khoa D. Doan (VinUni): 3 papers
- Ngo Van Linh (HUST): 3 papers
- Dung D. Le (VinUni): 2 papers
- Phi Le Nguyen (HUST): 2 papers
- Than Quang Khoat (HUST): 2 papers
- An Thai Le (VinUni): 1 paper
- Binh T. Nguyen (VinUni): 1 paper
- Cuong Pham (PTIT): 1 paper
- Hoang Ta (HUST): 1 paper
- Son Ha Xuan (RMIT): 1 paper
- Tuan Do (Phenikaa): 1 paper
- Uyen N.B. Vo (PTIT): 1 paper
Accepted papers (20)
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ICML 2026
$f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models
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ICML 2026
Automatic Unsupervised Ensemble Outlier Model Selection
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ICML 2026spotlight
Conservation Laws for Modern Neural Architectures
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ICML 2026
Cross-Modal Knowledge Distillation without Paired Data: Theoretical Foundation and Algorithm
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ICML 2026
FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation
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ICML 2026
HieRD: Hierarchical Relational Distillation for Vision-Language Embedding Models
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ICML 2026oral
MuonSSM: Orthogonalizing State Space Models for Sequence Modeling
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ICML 2026
Quadratically Regularized Optimal Transport: Localization Bounds and Affine Case Analysis
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ICML 2026oral
Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing
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ICML 2026
The Fisher Dimension: Instance-Dependent Complexity for Causal Discovery
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ICML 2026
TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching
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ICML 2026
Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
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ICML 2025oral
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
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ICML 2025spotlight
Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport
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ICML 2025
Online Robust Reinforcement Learning Through Monte-Carlo Planning
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ICML 2025
Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search
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ICML 2025
Provably Improving Generalization of Few-shot models with Synthetic Data
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ICML 2024
Boosting Offline Optimizers with Surrogate Sensitivity
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ICML 2022spotlight
Improving Transformers with Probabilistic Attention Keys
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ICML 2020
Predictive Coding for Locally-Linear Control