Xu Luo
11 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
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Conferences
NIPS (4)
EMNLP (2)
ICML (2)
CORL (1)
ICCV (1)
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Keywords
few-shot learning
(5)
image classification
(2)
task adaptation
(2)
representation learning
(2)
feature transformation
(2)
transfer learning
(2)
channel attention
(1)
knowledge distillation
(1)
benchmark evaluation
(1)
visual question answering
(1)
foreground extraction
(1)
multimodal learning
(1)
catastrophic forgetting
(1)
text-to-image generation
(1)
model fusion
(1)
visual representation
(1)
domain generalization
(1)
image denoising
(1)
instruction tuning
(1)
continual learning
(1)
Papers
Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution Approach
EMNLP 2025
Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation
ICLR 2025
Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation
CORL 2025
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
NIPS 2024
Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT
NIPS 2024
Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models
EMNLP 2024
A Closer Look at Few-shot Classification Again
ICML 2023
DETA: Denoised Task Adaptation for Few-Shot Learning
ICCV 2023
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
NIPS 2022
Channel Importance Matters in Few-Shot Image Classification
ICML 2022
Rectifying the Shortcut Learning of Background for Few-Shot Learning
NIPS 2021