Summary of Intermediate Outputs Are More Sensitive Than You Think, by Tao Huang et al.
Intermediate Outputs Are More Sensitive Than You Thinkby Tao Huang, Qingyu Huang, Jiayang MengFirst submitted…
Summary of Towards Privacy-preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified Resnet Architecture, by Mohamad Haj Fares et al.
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified…
Summary of Bridging Fairness Gaps: a (conditional) Distance Covariance Perspective in Fairness Learning, by Ruifan Huang et al.
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learningby Ruifan Huang, Haixia LiuFirst…
Summary of Approximate Fiber Product: a Preliminary Algebraic-geometric Perspective on Multimodal Embedding Alignment, by Dongfang Zhao
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignmentby Dongfang ZhaoFirst submitted to…
Summary of Toward Fair Graph Neural Networks Via Dual-teacher Knowledge Distillation, by Chengyu Li and Debo Cheng and Guixian Zhang and Yi Li and Shichao Zhang
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillationby Chengyu Li, Debo Cheng, Guixian Zhang,…
Summary of Unified Parameter-efficient Unlearning For Llms, by Chenlu Ding et al.
Unified Parameter-Efficient Unlearning for LLMsby Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang,…
Summary of Pal — Parallel Active Learning For Machine-learned Potentials, by Chen Zhou et al.
PAL – Parallel active learning for machine-learned potentialsby Chen Zhou, Marlen Neubert, Yuri Koide, Yumeng…
Summary of On Foundation Models For Dynamical Systems From Purely Synthetic Data, by Martin Ziegler et al.
On Foundation Models for Dynamical Systems from Purely Synthetic Databy Martin Ziegler, Andres Felipe Posada-Moreno,…
Summary of Fine-tuning Pre-trained Large Time Series Models For Prediction Of Wind Turbine Scada Data, by Yuwei Fan et al.
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Databy Yuwei Fan,…
Summary of Autopq: Automating Quantile Estimation From Point Forecasts in the Context Of Sustainability, by Stefan Meisenbacher et al.
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainabilityby Stefan Meisenbacher, Kaleb…