Summary of Fedast: Federated Asynchronous Simultaneous Training, by Baris Askin et al.
FedAST: Federated Asynchronous Simultaneous Trainingby Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri JoshiFirst submitted to…
Summary of Case: Efficient Curricular Data Pre-training For Building Assistive Psychology Expert Models, by Sarthak Harne et al.
CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Modelsby Sarthak Harne, Monjoy Narayan…
Summary of Combining Experimental and Historical Data For Policy Evaluation, by Ting Li et al.
Combining Experimental and Historical Data for Policy Evaluationby Ting Li, Chengchun Shi, Qianglin Wen, Yang…
Summary of Kglink: a Column Type Annotation Method That Combines Knowledge Graph and Pre-trained Language Model, by Yubo Wang et al.
KGLink: A column type annotation method that combines knowledge graph and pre-trained language modelby Yubo…
Summary of Do’s and Don’ts: Learning Desirable Skills with Instruction Videos, by Hyunseung Kim et al.
Do’s and Don’ts: Learning Desirable Skills with Instruction Videosby Hyunseung Kim, Byungkun Lee, Hojoon Lee,…
Summary of A Structured Review Of Literature on Uncertainty in Machine Learning & Deep Learning, by Fahimeh Fakour et al.
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learningby Fahimeh Fakour,…
Summary of Alternative Methods to Shap Derived From Properties Of Kernels: a Note on Theoretical Analysis, by Kazuhiro Hiraki et al.
Alternative Methods to SHAP Derived from Properties of Kernels: A Note on Theoretical Analysisby Kazuhiro…
Summary of Decoop: Robust Prompt Tuning with Out-of-distribution Detection, by Zhi Zhou et al.
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detectionby Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo,…
Summary of Benchmarking For Deep Uplift Modeling in Online Marketing, by Dugang Liu and Xing Tang and Yang Qiao and Miao Liu and Zexu Sun and Xiuqiang He and Zhong Ming
Benchmarking for Deep Uplift Modeling in Online Marketingby Dugang Liu, Xing Tang, Yang Qiao, Miao…
Summary of Learning Causal Abstractions Of Linear Structural Causal Models, by Riccardo Massidda et al.
Learning Causal Abstractions of Linear Structural Causal Modelsby Riccardo Massidda, Sara Magliacane, Davide BacciuFirst submitted…