Minh Le
9 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird
🏆
Grand Slam
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Architectures
(4)
Learning Types · Machine Learning
(4)
Core AI
(3)
Learning Paradigms
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Learning Types · Deep Learning
(2)
Understanding
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Analysis
(1)
Applications
(1)
Keywords
mixture of expert
(3)
prefix tuning
(2)
prompt-based learning
(2)
continual learning
(2)
catastrophic forgetting
(2)
transfer learning
(1)
relation extraction
(1)
semi-supervised learning
(1)
data augmentation
(1)
epistemic uncertainty
(1)
semantic segmentation
(1)
word sense disambiguation
(1)
dependency parsing
(1)
semantic analysis
(1)
generative model
(1)
graph theory
(1)
error propagation
(1)
long short-term memory
(1)
language model
(1)
parameter estimation
(1)
Papers
Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract)
AAAI 2026
UIT-AMMC at SemEval-2026 Task 13: Exploiting Structural Formatting Signatures for Robust AI-Generated Code Detection
SemEval 2026
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
AAAI 2025
On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation
ICML 2025
RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts
ICML 2025
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
ICLR 2025
Mixture of Experts Meets Prompt-Based Continual Learning
NeurIPS 2024
A Deep Dive into Word Sense Disambiguation with LSTM
COLING 2018
Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing
EACL 2017