발행물
컨퍼런스
Seminar | Data Science Lab
2023
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P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks
Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring
Deep Frequency Filtering for Domain Generalization
RLPROMPT: Optimizing Discrete Text Prompts with Reinforcement Learning
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations