Summary of Contrastive Abstraction For Reinforcement Learning, by Vihang Patil et al.
Contrastive Abstraction for Reinforcement Learningby Vihang Patil, Markus Hofmarcher, Elisabeth Rumetshofer, Sepp HochreiterFirst submitted to…
Summary of Cxpmrg-bench: Pre-training and Benchmarking For X-ray Medical Report Generation on Chexpert Plus Dataset, by Xiao Wang et al.
CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Datasetby Xiao Wang,…
Summary of Using Pretrained Graph Neural Networks with Token Mixers As Geometric Featurizers For Conformational Dynamics, by Zihan Pengmei et al.
Using pretrained graph neural networks with token mixers as geometric featurizers for conformational dynamicsby Zihan…
Summary of Localizing Memorization in Ssl Vision Encoders, by Wenhao Wang et al.
Localizing Memorization in SSL Vision Encodersby Wenhao Wang, Adam Dziedzic, Michael Backes, Franziska BoenischFirst submitted…
Summary of A3: Active Adversarial Alignment For Source-free Domain Adaptation, by Chrisantus Eze and Christopher Crick
A3: Active Adversarial Alignment for Source-Free Domain Adaptationby Chrisantus Eze, Christopher CrickFirst submitted to arxiv…
Summary of Soar: Self-supervision Optimized Uav Action Recognition with Efficient Object-aware Pretraining, by Ruiqi Xian et al.
SOAR: Self-supervision Optimized UAV Action Recognition with Efficient Object-Aware Pretrainingby Ruiqi Xian, Xiyang Wu, Tianrui…
Summary of Self-supervised Pretraining For Cardiovascular Magnetic Resonance Cine Segmentation, by Rob A. J. De Mooij et al.
Self-supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentationby Rob A. J. de Mooij, Josien P.…
Summary of Rmgpt: Rotating Machinery Generative Pretrained Model, by Yilin Wang et al.
RmGPT: Rotating Machinery Generative Pretrained Modelby Yilin Wang, Yifei Yu, Kong Sun, Peixuan Lei, Yuxuan…
Summary of Trading Through Earnings Seasons Using Self-supervised Contrastive Representation Learning, by Zhengxin Joseph Ye and Bjoern Schuller
Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learningby Zhengxin Joseph Ye, Bjoern SchullerFirst submitted…
Summary of Adaptive Self-supervised Learning Strategies For Dynamic On-device Llm Personalization, by Rafael Mendoza et al.
Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalizationby Rafael Mendoza, Isabella Cruz, Richard Liu,…