Summary of Aioli: a Unified Optimization Framework For Language Model Data Mixing, by Mayee F. Chen et al.
Aioli: A Unified Optimization Framework for Language Model Data Mixingby Mayee F. Chen, Michael Y.…
Summary of Differential Privacy Under Class Imbalance: Methods and Empirical Insights, by Lucas Rosenblatt et al.
Differential Privacy Under Class Imbalance: Methods and Empirical Insightsby Lucas Rosenblatt, Yuliia Lut, Eitan Turok,…
Summary of Topology-aware Reinforcement Feature Space Reconstruction For Graph Data, by Wangyang Ying et al.
Topology-aware Reinforcement Feature Space Reconstruction for Graph Databy Wangyang Ying, Haoyue Bai, Kunpeng Liu, Yanjie…
Summary of Discovering Latent Structural Causal Models From Spatio-temporal Data, by Kun Wang et al.
Discovering Latent Structural Causal Models from Spatio-Temporal Databy Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yi-An…
Summary of Inversion-based Latent Bayesian Optimization, by Jaewon Chu et al.
Inversion-based Latent Bayesian Optimizationby Jaewon Chu, Jinyoung Park, Seunghun Lee, Hyunwoo J. KimFirst submitted to…
Summary of Controlling Grokking with Nonlinearity and Data Symmetry, by Ahmed Salah et al.
Controlling Grokking with Nonlinearity and Data Symmetryby Ahmed Salah, David YevickFirst submitted to arxiv on:…
Summary of A Quality-centric Framework For Generic Deepfake Detection, by Wentang Song et al.
A Quality-Centric Framework for Generic Deepfake Detectionby Wentang Song, Zhiyuan Yan, Yuzhen Lin, Taiping Yao,…
Summary of Red: Residual Estimation Diffusion For Low-dose Pet Sinogram Reconstruction, by Xingyu Ai et al.
RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstructionby Xingyu Ai, Bin Huang, Fang Chen,…
Summary of Reinforcement Learning For Adaptive Resource Scheduling in Complex System Environments, by Pochun Li et al.
Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environmentsby Pochun Li, Yuyang Xiao, Jinghua…
Summary of Machine Learning For Prediction Of Dose-volume Histograms Of Organs-at-risk in Prostate Cancer From Simple Structure Volume Parameters, by Saheli Saha et al.
Machine learning for prediction of dose-volume histograms of organs-at-risk in prostate cancer from simple structure…