Summary of Interlude: Interactions Between Labeled and Unlabeled Data to Enhance Semi-supervised Learning, by Zhe Huang et al.
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learningby Zhe Huang, Xiaowei Yu,…
Summary of A Probabilistic Approach For Model Alignment with Human Comparisons, by Junyu Cao et al.
A Probabilistic Approach for Model Alignment with Human Comparisonsby Junyu Cao, Mohsen BayatiFirst submitted to…
Summary of Time Series Representation Learning with Supervised Contrastive Temporal Transformer, by Yuansan Liu et al.
Time Series Representation Learning with Supervised Contrastive Temporal Transformerby Yuansan Liu, Sudanthi Wijewickrema, Christofer Bester,…
Summary of Benchmarking Zero-shot Robustness Of Multimodal Foundation Models: a Pilot Study, by Chenguang Wang et al.
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Studyby Chenguang Wang, Ruoxi Jia, Xin…
Summary of Easy-to-hard Generalization: Scalable Alignment Beyond Human Supervision, by Zhiqing Sun et al.
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervisionby Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu,…
Summary of Data-efficient Sleep Staging with Synthetic Time Series Pretraining, by Niklas Grieger et al.
Data-Efficient Sleep Staging with Synthetic Time Series Pretrainingby Niklas Grieger, Siamak Mehrkanoon, Stephan BialonskiFirst submitted…
Summary of Knowcoder: Coding Structured Knowledge Into Llms For Universal Information Extraction, by Zixuan Li et al.
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extractionby Zixuan Li, Yutao Zeng, Yuxin…
Summary of Optimizing Negative Prompts For Enhanced Aesthetics and Fidelity in Text-to-image Generation, by Michael Ogezi and Ning Shi
Optimizing Negative Prompts for Enhanced Aesthetics and Fidelity in Text-To-Image Generationby Michael Ogezi, Ning ShiFirst…
Summary of Orpo: Monolithic Preference Optimization Without Reference Model, by Jiwoo Hong et al.
ORPO: Monolithic Preference Optimization without Reference Modelby Jiwoo Hong, Noah Lee, James ThorneFirst submitted to…
Summary of Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning, by Mark D. Mcdonnell et al.
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learningby Mark D. McDonnell,…