Summary of Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Frontier Ai Models, by Sunny Duan et al.
Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Frontier AI Modelsby Sunny Duan,…
Summary of Model Merging and Safety Alignment: One Bad Model Spoils the Bunch, by Hasan Abed Al Kader Hammoud et al.
Model Merging and Safety Alignment: One Bad Model Spoils the Bunchby Hasan Abed Al Kader…
Summary of Physics-informed Neural Networks For Parameter Learning Of Wildfire Spreading, by Konstantinos Vogiatzoglou et al.
Physics-informed neural networks for parameter learning of wildfire spreadingby Konstantinos Vogiatzoglou, Costas Papadimitriou, Vasilis Bontozoglou,…
Summary of Learning to Discover Knowledge: a Weakly-supervised Partial Domain Adaptation Approach, by Mengcheng Lan et al.
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approachby Mengcheng Lan, Min Meng, Jun…
Summary of Revisiting Modularity Maximization For Graph Clustering: a Contrastive Learning Perspective, by Yunfei Liu et al.
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspectiveby Yunfei Liu, Jintang Li, Yuehe…
Summary of Fairx: a Comprehensive Benchmarking Tool For Model Analysis Using Fairness, Utility, and Explainability, by Md Fahim Sikder et al.
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainabilityby Md Fahim…
Summary of Identifiable Exchangeable Mechanisms For Causal Structure and Representation Learning, by Patrik Reizinger et al.
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learningby Patrik Reizinger, Siyuan Guo, Ferenc Huszár,…
Summary of Mind the Privacy Unit! User-level Differential Privacy For Language Model Fine-tuning, by Lynn Chua et al.
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuningby Lynn Chua, Badih Ghazi,…
Summary of Computing Within Limits: An Empirical Study Of Energy Consumption in Ml Training and Inference, by Ioannis Mavromatis and Kostas Katsaros and Aftab Khan
Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inferenceby Ioannis…
Summary of Revealing the Learning Process in Reinforcement Learning Agents Through Attention-oriented Metrics, by Charlotte Beylier et al.
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metricsby Charlotte Beylier, Simon M.…