Summary of An Enhanced Federated Prototype Learning Method Under Domain Shift, by Liang Kuang et al.
An Enhanced Federated Prototype Learning Method under Domain Shiftby Liang Kuang, Kuangpu Guo, Jian Liang,…
Summary of Using Deep Autoregressive Models As Causal Inference Engines, by Daniel Jiwoong Im et al.
Using Deep Autoregressive Models as Causal Inference Enginesby Daniel Jiwoong Im, Kevin Zhang, Nakul Verma,…
Summary of “oh Llm, I’m Asking Thee, Please Give Me a Decision Tree”: Zero-shot Decision Tree Induction and Embedding with Large Language Models, by Ricardo Knauer et al.
“Oh LLM, I’m Asking Thee, Please Give Me a Decision Tree”: Zero-Shot Decision Tree Induction…
Summary of Optimistic Games For Combinatorial Bayesian Optimization with Application to Protein Design, by Melis Ilayda Bal et al.
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Designby Melis Ilayda Bal, Pier…
Summary of Temporalpad: a Reinforcement-learning Framework For Temporal Feature Representation and Dimension Reduction, by Xuechen Mu et al.
TemporalPaD: a reinforcement-learning framework for temporal feature representation and dimension reductionby Xuechen Mu, Zhenyu Huang,…
Summary of Differentially Private Non Parametric Copulas: Generating Synthetic Data with Non Parametric Copulas Under Privacy Guarantees, by Pablo A. Osorio-marulanda et al.
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guaranteesby…
Summary of How Green Is Continual Learning, Really? Analyzing the Energy Consumption in Continual Training Of Vision Foundation Models, by Tomaso Trinci et al.
How green is continual learning, really? Analyzing the energy consumption in continual training of vision…
Summary of Unsupervised Cognition, by Alfredo Ibias et al.
Unsupervised Cognitionby Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda, Enric Guinovart, Eduard AlarconFirst submitted to arxiv…
Summary of Rethinking the Power Of Timestamps For Robust Time Series Forecasting: a Global-local Fusion Perspective, by Chengsen Wang et al.
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspectiveby Chengsen…
Summary of Entropy, Concentration, and Learning: a Statistical Mechanics Primer, by Akshay Balsubramani
Entropy, concentration, and learning: a statistical mechanics primerby Akshay BalsubramaniFirst submitted to arxiv on: 27…