Summary of Multitask Kernel-based Learning with Logic Constraints, by Michelangelo Diligenti et al.
Multitask Kernel-based Learning with Logic Constraintsby Michelangelo Diligenti, Marco Gori, Marco Maggini, Leonardo RigutiniFirst submitted…
Summary of Understanding Survey Paper Taxonomy About Large Language Models Via Graph Representation Learning, by Jun Zhuang et al.
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learningby Jun Zhuang, Casey…
Summary of Efficient Generative Modeling Via Penalized Optimal Transport Network, by Wenhui Sophia Lu et al.
Efficient Generative Modeling via Penalized Optimal Transport Networkby Wenhui Sophia Lu, Chenyang Zhong, Wing Hung…
Summary of Theoretical Understanding Of Learning From Adversarial Perturbations, by Soichiro Kumano et al.
Theoretical Understanding of Learning from Adversarial Perturbationsby Soichiro Kumano, Hiroshi Kera, Toshihiko YamasakiFirst submitted to…
Summary of Rethinking Self-distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels, by Hyeonsu Jeong and Hye Won Chung
Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labelsby Hyeonsu Jeong, Hye…
Summary of Biomistral: a Collection Of Open-source Pretrained Large Language Models For Medical Domains, by Yanis Labrak et al.
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domainsby Yanis Labrak, Adrien…
Summary of Samformer: Unlocking the Potential Of Transformers in Time Series Forecasting with Sharpness-aware Minimization and Channel-wise Attention, by Romain Ilbert et al.
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise…
Summary of Reward Generalization in Rlhf: a Topological Perspective, by Tianyi Qiu et al.
Reward Generalization in RLHF: A Topological Perspectiveby Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan,…
Summary of Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognition, by Enrico Randellini and Leonardo Rigutini and Claudio Sacca’
Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognitionby Enrico Randellini, Leonardo Rigutini,…
Summary of Model Compression and Efficient Inference For Large Language Models: a Survey, by Wenxiao Wang et al.
Model Compression and Efficient Inference for Large Language Models: A Surveyby Wenxiao Wang, Wei Chen,…