Summary of Brainchat: Decoding Semantic Information From Fmri Using Vision-language Pretrained Models, by Wanaiu Huang
BrainChat: Decoding Semantic Information from fMRI using Vision-language Pretrained Modelsby Wanaiu HuangFirst submitted to arxiv…
Summary of Taxes Are All You Need: Integration Of Taxonomical Hierarchy Relationships Into the Contrastive Loss, by Kiran Kokilepersaud et al.
Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Lossby Kiran…
Summary of Efficient 3d-aware Facial Image Editing Via Attribute-specific Prompt Learning, by Amandeep Kumar and Muhammad Awais and Sanath Narayan and Hisham Cholakkal and Salman Khan and Rao Muhammad Anwer
Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learningby Amandeep Kumar, Muhammad Awais, Sanath Narayan,…
Summary of Open-set Domain Adaptation For Semantic Segmentation, by Seun-an Choe et al.
Open-Set Domain Adaptation for Semantic Segmentationby Seun-An Choe, Ah-Hyung Shin, Keon-Hee Park, Jinwoo Choi, Gyeong-Moon…
Summary of Bayesian Learning-driven Prototypical Contrastive Loss For Class-incremental Learning, by Nisha L. Raichur et al.
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learningby Nisha L. Raichur, Lucas Heublein, Tobias Feigl,…
Summary of Goal-conditioned Reinforcement Learning For Ultrasound Navigation Guidance, by Abdoul Aziz Amadou et al.
Goal-conditioned reinforcement learning for ultrasound navigation guidanceby Abdoul Aziz Amadou, Vivek Singh, Florin C. Ghesu,…
Summary of Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning, by Andrei Semenov et al.
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learningby Andrei Semenov, Vladimir Ivanov, Aleksandr Beznosikov,…
Summary of Clha: a Simple Yet Effective Contrastive Learning Framework For Human Alignment, by Feiteng Fang et al.
CLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignmentby Feiteng Fang, Liang Zhu,…
Summary of Ceat: Continual Expansion and Absorption Transformer For Non-exemplar Class-incremental Learning, by Xinyuan Gao et al.
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learningby Xinyuan Gao, Songlin Dong, Yuhang…
Summary of Demonstrating and Reducing Shortcuts in Vision-language Representation Learning, by Maurits Bleeker et al.
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learningby Maurits Bleeker, Mariya Hendriksen, Andrew Yates, Maarten…