ICLR publishes every submission and its outcome on OpenReview, so submitted and rejected papers can be counted. The numbers cover the listed professors; a paper with several of them is counted once. 8 accepted before 2026, 5 from 2026.
By year
Professors with accepted papers
- Khoa D. Doan (VinUni): 3 papers
- Than Quang Khoat (HUST): 3 papers
- Man Ngo (HCMUS): 2 papers
- Dung D. Le (VinUni): 1 paper
- Hieu Pham (VinUni): 1 paper
- Minh Do (VinUni): 1 paper
- Nam Le Hai (HUST): 1 paper
- Ngo Van Linh (HUST): 1 paper
- Phi Le Nguyen (HUST): 1 paper
Accepted papers (13)
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ICLR 2026
Align-SAM: Seeking Flatter Minima for Better Cross-Subset Alignment
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ICLR 2026
CLIP-FMoE: Scalable CLIP via Fused Mixture-of-Experts with Enforced Specialization
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ICLR 2026
FACET: A Fragment-Aware Conformer Ensemble Transformer
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ICLR 2026
LCA: Local Classifier Alignment for Continual Learning
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ICLR 2026
UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
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ICLR 2025
Boosting Multiple Views for pretrained-based Continual Learning
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ICLR 2025
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
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ICLR 2025
DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle
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ICLR 2025
NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions
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ICLR 2025
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
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ICLR 2024
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
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ICLR 2023
Improving Out-of-distribution Generalization with Indirection Representations
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ICLR 2022
Generative Pseudo-Inverse Memory
Rejected (69)
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ICLR 2026, rejected
A Multi-Institutional Multimodal EEG Benchmark for Foundation Model Generalization and Early Neurological Diagnosis
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ICLR 2026, rejected
A Non-vacuous Test Error Guarantee for Deep Learning without Altering the Model
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ICLR 2026, rejected
A Tight Error Bound for Deep Learning via Distribution and Loss Complexity
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ICLR 2026, rejected
Cognitively Inspired Reflective Evolution: Interactive Multi-Turn LLM–EA Synthesis of Heuristics for Combinatorial Optimization
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ICLR 2026, rejected
Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Quantification
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ICLR 2026, desk-rejected
Dimension-Adaptive MCTS: Optimal Sample Complexity for Continuous Action Planning
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ICLR 2026, rejected
DistillMoE: Multi-Faceted Knowledge Distillation for Cross-Tokenizer Embedding Models
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ICLR 2026, rejected
Distributional Monte-Carlo Tree Search with Thompson Sampling in Stochastic Environments
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ICLR 2026, rejected
Exploiting Client Heterogeneity for Forgetting Mitigation in Federated Continual Learning: A Spatio-Temporal Gradient Alignment Approach
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ICLR 2026, rejected
FedDTW: Federated Digital Twin Weighting for Mitigating Client Heterogeneity and Unreliable Connectivity
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ICLR 2026, rejected
FLoRA-NA: Nearly Accurate Aggregation for Federated Low-Rank Adaptation
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ICLR 2026, rejected
GraDA: Gradient-Guided Knowledge Distillation for Domain Adaptation
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ICLR 2026, rejected
Integrating Selective State-Space Models and Bayesian Graph Attention for Uncertainty-aware Time-Series Analysis
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ICLR 2026, rejected
MulCLIP: A Multi-level Alignment Framework for Enhancing Fine-grained Long-context CLIP
The same title was accepted at NeurIPS 2026.
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ICLR 2026, rejected
Nonparametric Unsupervised Data Condensation for Gigapixel Histological Images
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ICLR 2026, rejected
OptSHAP: Explaining Dimensionality Reduction-based Models for Tabular Data via Optimization
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ICLR 2026, rejected
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy
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ICLR 2026, rejected
Reflecting and Linking knowledge: Dynamic Label Structures for Prompt-based Continual Learning
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ICLR 2026, desk-rejected
Region in Context: Text-Conditioned Image Editing with Human-Like Semantic Reasoning
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ICLR 2026, rejected
SPKGDiag: Learning Symptom-Linked Patient Knowledge Graphs via Multi-Hop Similarity Message Passing for Automatic Diagnosis
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ICLR 2026, rejected
STELAR: Dual-space training EEG Foundation Models for Transferable Representations
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ICLR 2026, rejected
SUSI: Semi-Structured Pruning for LLMs via Differentiable Subset Sampling
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ICLR 2026, rejected
SyNC: Balancing Fidelity and Diversity of Synthetic Data Representations in CLIP-based Few-Shot Learning via Neural Collapse
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ICLR 2026, rejected
The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models
The same title was accepted at NeurIPS 2026.
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ICLR 2026, rejected
Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks
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ICLR 2026, rejected
Token Dynamics on Spheres in Mamba Models
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ICLR 2026, rejected
Token-Regulated Group Relative Policy Optimization for Stable Reinforcement Learning in Large Language Models
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ICLR 2026, desk-rejected
VM14K: First Vietnamese Medical Benchmark
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ICLR 2025, rejected
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
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ICLR 2025, rejected
Black-Box Adversarial Attack on Dialogue Generation via Multi-Objective Optimization
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ICLR 2025, rejected
Boosting Parallel Algorithms in Linear Queries for Non-Monotone Submodular Maximization
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ICLR 2025, rejected
Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship
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ICLR 2025, rejected
ConceptFlow: Unified Framework for Personalized Image Generation
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ICLR 2025, rejected
Crafting Zero-Cost Proxy Metrics for Neural Architecture Search via Symbolic Regression
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ICLR 2025, desk-rejected
Enhancement of In-Context Reasoning in LLMs through Inductive Rule Learning
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ICLR 2025, rejected
Exploiting Hierarchical Taxonomies in Pretrained Continual Learning
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ICLR 2025, rejected
Forget but Recall: Incremental Latent Rectification in Continual Learning
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ICLR 2025, rejected
FROM LOW TO HIGH-VALUE DESIGNS: OFFLINE OPTIMIZATION VIA GENERALIZED DIFFUSION
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ICLR 2025, rejected
Improving Resistance to Noisy Label Fitting by Reweighting Gradient in SAM
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ICLR 2025, rejected
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Adaptive Importance Sampling
The same title was accepted at NeurIPS 2025.
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ICLR 2025, rejected
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
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ICLR 2025, rejected
Pruning Deep Convolutional Neural Network Using Conditional Mutual Information
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ICLR 2025, rejected
Rethinking Attentions in Zero-Shot Real Image Editing
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ICLR 2025, rejected
Risk-Aware Distributional Intervention Policies for Language Models
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ICLR 2025, rejected
Sparse Watermarking in LLMs with Enhanced Text Quality
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ICLR 2025, rejected
Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models
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ICLR 2025, rejected
TOWARDS LAYER-WISE PERSONALIZED FEDERATED LEARNING: ADAPTIVE LAYER DISENTANGLEMENT VIA CONFLICTING GRADIENTS
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ICLR 2025, rejected
Unified Deep Discrete Representation Learning Framework
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ICLR 2025, rejected
Unveiling Concept Attribution in Diffusion Models
The same title was accepted at NeurIPS 2025.
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ICLR 2025, rejected
VisualCoder: Guiding Vision Language Models in Code Execution with Fine-grained Chain-of-Thought Reasoning
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ICLR 2025, rejected
Zero-shot Object-level Out-of-distribution Detection with Context-aware Inpainting
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ICLR 2024, desk-rejected
ALIN: An Active Learning Framework for Incomplete Networks
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ICLR 2024, rejected
Autonomous Catheterization with Open-source Simulator and Expert Trajectory
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ICLR 2024, rejected
Efficient Multi-Fidelity NAS with Zero-Cost Proxy-Guided Local Search
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ICLR 2024, rejected
Enriching Time Series Representation: Integrating a Noise-Resilient Sampling Strategy with an Efficient Encoder Architecture
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ICLR 2024, rejected
Fooling the Textual Fooler via Randomizing Latent Representations
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ICLR 2024, rejected
Forget-Me-Not: Making Backdoor Hard to be Forgotten in Fine-tuning
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ICLR 2024, rejected
Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
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ICLR 2024, rejected
Leveraging Graph Neural Networks to Boost Fine-Grained Image Classification
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ICLR 2024, rejected
REVISITING LARS FOR LARGE BATCH TRAINING GENERALIZATION OF NEURAL NETWORKS
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ICLR 2024, rejected
SENSITIVITY-INFORMED REGULARIZATION FOR OFFLINE BLACK-BOX OPTIMIZATION
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ICLR 2023, rejected
FedMEKT: Split Multimodal Embedding Knowledge Transfer in Federated Learning
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ICLR 2023, rejected
Understanding Pruning at Initialization: An Effective Node-Path Balancing Perspective
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ICLR 2022, rejected
Generalization of GANs and overparameterized models under Lipschitz continuity
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ICLR 2022, rejected
Gradient Boosting Neural Networks: GrowNet
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ICLR 2022, rejected
Incorporating User-Item Similarity in Hybrid Neighborhood-based Recommendation System
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ICLR 2022, rejected
Topological Vanilla Transfer Learning
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ICLR 2022, rejected
Transformer with a Mixture of Gaussian Keys
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ICLR 2021, rejected
Generalization and Stability of GANs: A theory and promise from data augmentation