Summary of Heavy-tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models, by Frederik Kunstner et al.
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Modelsby Frederik Kunstner, Robin…
Summary of Efficient Lifelong Model Evaluation in An Era Of Rapid Progress, by Ameya Prabhu et al.
Efficient Lifelong Model Evaluation in an Era of Rapid Progressby Ameya Prabhu, Vishaal Udandarao, Philip…
Summary of Sprifed-omp: a Differentially Private Federated Learning Algorithm For Sparse Basis Recovery, by Ajinkya Kiran Mulay et al.
SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recoveryby Ajinkya Kiran Mulay, Xiaojun…
Summary of Protop-od: Explainable Object Detection with Prototypical Parts, by Pavlos Rath-manakidis et al.
ProtoP-OD: Explainable Object Detection with Prototypical Partsby Pavlos Rath-Manakidis, Frederik Strothmann, Tobias Glasmachers, Laurenz WiskottFirst…
Summary of Machine Learning For Modular Multiplication, by Kristin Lauter et al.
Machine learning for modular multiplicationby Kristin Lauter, Cathy Yuanchen Li, Krystal Maughan, Rachel Newton, Megha…
Summary of Estimation and Deconvolution Of Second Order Cyclostationary Signals, by Igor Makienko et al.
Estimation and Deconvolution of Second Order Cyclostationary Signalsby Igor Makienko, Michael Grebshtein, Eli GildishFirst submitted…
Summary of Taking Second-life Batteries From Exhausted to Empowered Using Experiments, Data Analysis, and Health Estimation, by Xiaofan Cui et al.
Taking Second-life Batteries from Exhausted to Empowered using Experiments, Data Analysis, and Health Estimationby Xiaofan…
Summary of Probabilistic Lipschitzness and the Stable Rank For Comparing Explanation Models, by Lachlan Simpson et al.
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Modelsby Lachlan Simpson, Kyle Millar, Adriel…
Summary of On the Convergence Of Differentially-private Fine-tuning: to Linearly Probe or to Fully Fine-tune?, by Shuqi Ke et al.
On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?by Shuqi Ke,…
Summary of Digic: Domain Generalizable Imitation Learning by Causal Discovery, By Yang Chen et al.
DIGIC: Domain Generalizable Imitation Learning by Causal Discoveryby Yang Chen, Yitao Liang, Zhouchen LinFirst submitted…