Summary of Districtnet: Decision-aware Learning For Geographical Districting, by Cheikh Ahmed et al.
DistrictNet: Decision-aware learning for geographical districtingby Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut VidalFirst submitted…
Summary of Sinergym — a Virtual Testbed For Building Energy Optimization with Reinforcement Learning, by Alejandro Campoy-nieves et al.
SINERGYM – A virtual testbed for building energy optimization with Reinforcement Learningby Alejandro Campoy-Nieves, Antonio…
Summary of Self-refining Diffusion Samplers: Enabling Parallelization Via Parareal Iterations, by Nikil Roashan Selvam et al.
Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterationsby Nikil Roashan Selvam, Amil Merchant, Stefano ErmonFirst…
Summary of Edge-splitting Mlp: Node Classification on Homophilic and Heterophilic Graphs Without Message Passing, by Matthias Kohn et al.
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passingby Matthias Kohn, Marcel…
Summary of Alore: Efficient Visual Adaptation Via Aggregating Low Rank Experts, by Sinan Du et al.
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Expertsby Sinan Du, Guosheng Zhang, Keyao Wang,…
Summary of Nyayaanumana & Inlegalllama: the Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model For Enhanced Decision Analysis, by Shubham Kumar Nigam et al.
NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for…
Summary of Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds, By Shuhai Zhang et al.
Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifoldsby Shuhai Zhang, Jiahao Yang, Hui…
Summary of Robustness Of Graph Classification: Failure Modes, Causes, and Noise-resistant Loss in Graph Neural Networks, by Farooq Ahmad Wani et al.
Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networksby Farooq…
Summary of From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes, by Alexander Tyurin
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizesby Alexander…
Summary of Proactive Model Adaptation Against Concept Drift For Online Time Series Forecasting, by Lifan Zhao et al.
Proactive Model Adaptation Against Concept Drift for Online Time Series Forecastingby Lifan Zhao, Yanyan ShenFirst…