Summary of Solving Continual Offline Reinforcement Learning with Decision Transformer, by Kaixin Huang et al.
Solving Continual Offline Reinforcement Learning with Decision Transformerby Kaixin Huang, Li Shen, Chen Zhao, Chun…
Summary of Harnessing Orthogonality to Train Low-rank Neural Networks, by Daniel Coquelin et al.
Harnessing Orthogonality to Train Low-Rank Neural Networksby Daniel Coquelin, Katharina Flügel, Marie Weiel, Nicholas Kiefer,…
Summary of From Graphs to Hypergraphs: Hypergraph Projection and Its Remediation, by Yanbang Wang et al.
From Graphs to Hypergraphs: Hypergraph Projection and its Remediationby Yanbang Wang, Jon KleinbergFirst submitted to…
Summary of Calpric: Inclusive and Fine-grain Labeling Of Privacy Policies with Crowdsourcing and Active Learning, by Wenjun Qiu et al.
Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learningby Wenjun Qiu,…
Summary of Augmenting Ground-level Pm2.5 Prediction Via Kriging-based Pseudo-label Generation, by Lei Duan et al.
Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generationby Lei Duan, Ziyang Jiang, David CarlsonFirst submitted…
Summary of Incremental Extractive Opinion Summarization Using Cover Trees, by Somnath Basu Roy Chowdhury et al.
Incremental Extractive Opinion Summarization Using Cover Treesby Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey,…
Summary of Transformer-based Approach For Ethereum Price Prediction Using Crosscurrency Correlation and Sentiment Analysis, by Shubham Singh et al.
Transformer-based approach for Ethereum Price Prediction Using Crosscurrency correlation and Sentiment Analysisby Shubham Singh, Mayur…
Summary of Predicting Next Useful Location with Context-awareness: the State-of-the-art, by Alireza Nezhadettehad et al.
Predicting Next Useful Location With Context-Awareness: The State-Of-The-Artby Alireza Nezhadettehad, Arkady Zaslavsky, Rakib Abdur, Siraj…
Summary of A Survey Of Resource-efficient Llm and Multimodal Foundation Models, by Mengwei Xu et al.
A Survey of Resource-efficient LLM and Multimodal Foundation Modelsby Mengwei Xu, Wangsong Yin, Dongqi Cai,…
Summary of Specstg: a Fast Spectral Diffusion Framework For Probabilistic Spatio-temporal Traffic Forecasting, by Lequan Lin et al.
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecastingby Lequan Lin, Dai Shi,…