Summary of Pseudo-label Refinement For Improving Self-supervised Learning Systems, by Zia-ur-rehman et al.
Pseudo-label Refinement for Improving Self-Supervised Learning Systemsby Zia-ur-Rehman, Arif Mahmood, Wenxiong KangFirst submitted to arxiv…
Summary of Gradual Domain Adaptation Via Manifold-constrained Distributionally Robust Optimization, by Amir Hossein Saberi et al.
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimizationby Amir Hossein Saberi, Amir Najafi, Ala Emrani,…
Summary of Dual Action Policy For Robust Sim-to-real Reinforcement Learning, by Ng Wen Zheng Terence et al.
Dual Action Policy for Robust Sim-to-Real Reinforcement Learningby Ng Wen Zheng Terence, Chen JiandaFirst submitted…
Summary of Tackling Dimensional Collapse Toward Comprehensive Universal Domain Adaptation, by Hung-chieh Fang et al.
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptationby Hung-Chieh Fang, Po-Yi Lu, Hsuan-Tien LinFirst submitted…
Summary of 3ds: Decomposed Difficulty Data Selection’s Case Study on Llm Medical Domain Adaptation, by Hongxin Ding et al.
3DS: Decomposed Difficulty Data Selection’s Case Study on LLM Medical Domain Adaptationby Hongxin Ding, Yue…
Summary of Mtl-lora: Low-rank Adaptation For Multi-task Learning, by Yaming Yang et al.
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learningby Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng…
Summary of Enhancing Federated Domain Adaptation with Multi-domain Prototype-based Federated Fine-tuning, by Jingyuan Zhang et al.
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuningby Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu,…
Summary of Degree Distribution Based Spiking Graph Networks For Domain Adaptation, by Yingxu Wang et al.
Degree Distribution based Spiking Graph Networks for Domain Adaptationby Yingxu Wang, Mengzhu Wang, Siwei Liu,…
Summary of Gla-da: Global-local Alignment Domain Adaptation For Multivariate Time Series, by Gang Tu et al.
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Seriesby Gang Tu, Dan Li, Bingxin Lin,…
Summary of Parameter Choice and Neuro-symbolic Approaches For Deep Domain-invariant Learning, by Marius-constantin Dinu
Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learningby Marius-Constantin DinuFirst submitted to arxiv on:…