Summary of Pre-trained Language Models Improve the Few-shot Prompt Ability Of Decision Transformer, by Yu Yang et al.
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformerby Yu Yang, Pan XuFirst…
Summary of Dense Self-supervised Learning For Medical Image Segmentation, by Maxime Seince et al.
Dense Self-Supervised Learning for Medical Image Segmentationby Maxime Seince, Loic Le Folgoc, Luiz Augusto Facury…
Summary of Leveraging Vision Language Models For Specialized Agricultural Tasks, by Muhammad Arbab Arshad et al.
Leveraging Vision Language Models for Specialized Agricultural Tasksby Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho…
Summary of Hvm-1: Large-scale Video Models Pretrained with Nearly 5000 Hours Of Human-like Video Data, by A. Emin Orhan
HVM-1: Large-scale video models pretrained with nearly 5000 hours of human-like video databy A. Emin…
Summary of Eurocropsml: a Time Series Benchmark Dataset For Few-shot Crop Type Classification, by Joana Reuss et al.
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classificationby Joana Reuss, Jan Macdonald,…
Summary of Improved Few-shot Image Classification Through Multiple-choice Questions, by Dipika Khullar et al.
Improved Few-Shot Image Classification Through Multiple-Choice Questionsby Dipika Khullar, Emmett Goodman, Negin SokhandanFirst submitted to…
Summary of Meta-gps++: Enhancing Graph Meta-learning with Contrastive Learning and Self-training, by Yonghao Liu et al.
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Trainingby Yonghao Liu, Mengyu Li, Ximing Li,…
Summary of Hard Prompts Made Interpretable: Sparse Entropy Regularization For Prompt Tuning with Rl, by Yunseon Choi et al.
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RLby Yunseon Choi, Sangmin…
Summary of Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge From Large Language Models, By Quan Li et al.
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language…
Summary of Krait: a Backdoor Attack Against Graph Prompt Tuning, by Ying Song et al.
Krait: A Backdoor Attack Against Graph Prompt Tuningby Ying Song, Rita Singh, Balaji PalanisamyFirst submitted…