Minh Le
8 papers · 2017–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Academic Marathon (8) π Renaissance Researcher (6) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(17)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Grand Slam
Conferences
AAAI (2)
ICML (2)
COLING (1)
EACL (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
catastrophic forgetting
(2)
continual learning
(2)
prompt-based learning
(2)
graph theory
(1)
relation extraction
(1)
word sense disambiguation
(1)
dependency parsing
(1)
semantic analysis
(1)
error propagation
(1)
generative model
(1)
long short-term memory
(1)
language model
(1)
mixture of expert
(1)
prefix tuning
(1)
neural dependency parser
(1)
greedy dependency parsing
(1)
topology preservation
(1)
reproduction study
(1)
neural network
(1)
neural network parser
(1)
Papers
Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract)
AAAI 2026
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
AAAI 2025
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
ICLR 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
Mixture of Experts Meets Prompt-Based Continual Learning
NIPS 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