Summary of Hiding and Recovering Knowledge in Text-to-image Diffusion Models Via Learnable Prompts, by Anh Bui et al.
Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Promptsby Anh Bui, Khanh Doan,…
Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Promptsby Anh Bui, Khanh Doan,…
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputationby Baoyu Jing, Dawei Zhou, Kan…
Semantic Prompting with Image-Token for Continual Learningby Jisu Han, Jaemin Na, Wonjun HwangFirst submitted to…
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMsby M. Jehanzeb Mirza, Leonid Karlinsky, Wei Lin,…
SelfIE: Self-Interpretation of Large Language Model Embeddingsby Haozhe Chen, Carl Vondrick, Chengzhi MaoFirst submitted to…
Just Say the Name: Online Continual Learning with Category Names Only via Data Generationby Minhyuk…
MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusionby Ruixiang Jiang, Lingbo Liu,…
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Promptby Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo…
Zero-shot and Few-shot Generation Strategies for Artificial Clinical Recordsby Erlend Frayling, Jake Lever, Graham McDonaldFirst…
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learningby Sikai Bai, Jie…