Summary of Unicl: a Universal Contrastive Learning Framework For Large Time Series Models, by Jiawei Li et al.
UniCL: A Universal Contrastive Learning Framework for Large Time Series Modelsby Jiawei Li, Jingshu Peng,…
Summary of Improving Label Error Detection and Elimination with Uncertainty Quantification, by Johannes Jakubik et al.
Improving Label Error Detection and Elimination with Uncertainty Quantificationby Johannes Jakubik, Michael Vössing, Manil Maskey,…
Summary of Weakly-supervised Causal Discovery Based on Fuzzy Knowledge and Complex Data Complementarity, by Wenrui Li et al.
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarityby Wenrui Li, Wei Zhang,…
Summary of Gradient Boosting Mapping For Dimensionality Reduction and Feature Extraction, by Anri Patron et al.
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extractionby Anri Patron, Ayush Prasad, Hoang Phuc…
Summary of Towards Principled Evaluations Of Sparse Autoencoders For Interpretability and Control, by Aleksandar Makelov et al.
Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Controlby Aleksandar Makelov, George Lange, Neel…
Summary of Rlhf Workflow: From Reward Modeling to Online Rlhf, by Hanze Dong et al.
RLHF Workflow: From Reward Modeling to Online RLHFby Hanze Dong, Wei Xiong, Bo Pang, Haoxiang…
Summary of Integrating Supervised and Unsupervised Learning Approaches to Unveil Critical Process Inputs, by Paris Papavasileiou et al.
Integrating supervised and unsupervised learning approaches to unveil critical process inputsby Paris Papavasileiou, Dimitrios G.…
Summary of A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework For Eeg Based Emotion Recognition, by Xiang Li et al.
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognitionby Xiang Li,…
Summary of Machine Unlearning in Contrastive Learning, by Zixin Wang and Kongyang Chen
Machine Unlearning in Contrastive Learningby Zixin Wang, Kongyang ChenFirst submitted to arxiv on: 12 May…
Summary of Estimating Noisy Class Posterior with Part-level Labels For Noisy Label Learning, by Rui Zhao et al.
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learningby Rui Zhao, Bin Shi,…