Summary of Syrocco: Enhancing Systematic Reviews Using Machine Learning, by Zheng Fang et al.
SyROCCo: Enhancing Systematic Reviews using Machine Learningby Zheng Fang, Miguel Arana-Catania, Felix-Anselm van Lier, Juliana…
Summary of Learning Run-time Safety Monitors For Machine Learning Components, by Ozan Vardal and Richard Hawkins and Colin Paterson and Chiara Picardi and Daniel Omeiza and Lars Kunze and Ibrahim Habli
Learning Run-time Safety Monitors for Machine Learning Componentsby Ozan Vardal, Richard Hawkins, Colin Paterson, Chiara…
Summary of Uncertainty-aware Reward-free Exploration with General Function Approximation, by Junkai Zhang and Weitong Zhang and Dongruo Zhou and Quanquan Gu
Uncertainty-Aware Reward-Free Exploration with General Function Approximationby Junkai Zhang, Weitong Zhang, Dongruo Zhou, Quanquan GuFirst…
Summary of Towards Scalable Exact Machine Unlearning Using Parameter-efficient Fine-tuning, by Somnath Basu Roy Chowdhury et al.
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuningby Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit…
Summary of Learning with Noisy Ground Truth: From 2d Classification to 3d Reconstruction, by Yangdi Lu et al.
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstructionby Yangdi Lu, Wenbo HeFirst…
Summary of Effect Of Random Learning Rate: Theoretical Analysis Of Sgd Dynamics in Non-convex Optimization Via Stationary Distribution, by Naoki Yoshida et al.
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary…
Summary of Accelerating Matrix Diagonalization Through Decision Transformers with Epsilon-greedy Optimization, by Kshitij Bhatta et al.
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimizationby Kshitij Bhatta, Geigh Zollicoffer, Manish Bhattarai,…
Summary of Intrinsic Dimension Correlation: Uncovering Nonlinear Connections in Multimodal Representations, by Lorenzo Basile et al.
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representationsby Lorenzo Basile, Santiago Acevedo, Luca Bortolussi,…
Summary of Towards Exact Computation Of Inductive Bias, by Akhilan Boopathy and William Yue and Jaedong Hwang and Abhiram Iyer and Ila Fiete
Towards Exact Computation of Inductive Biasby Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila…
Summary of Privacy Preserving Machine Learning For Electronic Health Records Using Federated Learning and Differential Privacy, by Naif A. Ganadily et al.
Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacyby Naif…