Summary of An Empirical Study Of Aegis, by Daniel Saragih et al.
An Empirical Study of Aegisby Daniel Saragih, Paridhi Goel, Tejas Balaji, Alyssa LiFirst submitted to…
Summary of Neural Proto-language Reconstruction, by Chenxuan Cui et al.
Neural Proto-Language Reconstructionby Chenxuan Cui, Ying Chen, Qinxin Wang, David R. MortensenFirst submitted to arxiv…
Summary of Privacy-preserving Debiasing Using Data Augmentation and Machine Unlearning, by Zhixin Pan et al.
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearningby Zhixin Pan, Emma Andrews, Laura Chang, Prabhat…
Summary of Unibucllm: Harnessing Llms For Automated Prediction Of Item Difficulty and Response Time For Multiple-choice Questions, by Ana-cristina Rogoz et al.
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questionsby…
Summary of A Visualization Method For Data Domain Changes in Cnn Networks and the Optimization Method For Selecting Thresholds in Classification Tasks, by Minzhe Huang et al.
A visualization method for data domain changes in CNN networks and the optimization method for…
Summary of Guided Discrete Diffusion For Electronic Health Record Generation, by Jun Han et al.
Guided Discrete Diffusion for Electronic Health Record Generationby Jun Han, Zixiang Chen, Yongqian Li, Yiwen…
Summary of Core: Data Augmentation For Link Prediction Via Information Bottleneck, by Kaiwen Dong et al.
CORE: Data Augmentation for Link Prediction via Information Bottleneckby Kaiwen Dong, Zhichun Guo, Nitesh V.…
Summary of Continuous Control Reinforcement Learning: Distributed Distributional Drq Algorithms, by Zehao Zhou
Continuous Control Reinforcement Learning: Distributed Distributional DrQ Algorithmsby Zehao ZhouFirst submitted to arxiv on: 16…
Summary of Awareness Of Uncertainty in Classification Using a Multivariate Model and Multi-views, by Alexey Kornaev et al.
Awareness of uncertainty in classification using a multivariate model and multi-viewsby Alexey Kornaev, Elena Kornaeva,…
Summary of Can We Break Free From Strong Data Augmentations in Self-supervised Learning?, by Shruthi Gowda et al.
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?by Shruthi Gowda, Elahe Arani,…