影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
60.74/100
前 4.7%
全站排名 #2,999
发表论文8 篇
平均评分
年均产出2.7 篇/年
Minh Le
研究方向
Continual Learning · Mixture of Experts · Parameter-Efficient Fine-tuning
19
One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning
ICLR 2026Poster
一作19
Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts
ICLR 2026Poster
一作5
Reflecting and Linking knowledge: Dynamic Label Structures for Prompt-based Continual Learning
ICLR 2026Withdrawn
二作15
RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts
ICML 2025Poster
21
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
ICLR 2025Poster
一作9
On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation
ICML 2025Poster
5
Exploiting Hierarchical Taxonomies in Pretrained Continual Learning
ICLR 2025Withdrawn
二作