Summary of Luma: a Benchmark Dataset For Learning From Uncertain and Multimodal Data, by Grigor Bezirganyan et al.
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Databy Grigor Bezirganyan, Sana Sellami,…
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Databy Grigor Bezirganyan, Sana Sellami,…
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learningby Jiawen Qin, Haonan Yuan, Qingyun Sun,…
Sailing in high-dimensional spaces: Low-dimensional embeddings through angle preservationby Jonas Fischer, Rong MaFirst submitted to…
Improving Consistency Models with Generator-Augmented Flowsby Thibaut Issenhuth, Sangchul Lee, Ludovic Dos Santos, Jean-Yves Franceschi,…
Online Bandit Learning with Offline Preference Databy Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng WenFirst…
A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics…
Learning Color Equivariant Representationsby Yulong Yang, Felix O'Mahony, Christine Allen-BlanchetteFirst submitted to arxiv on: 13…
On Value Iteration Convergence in Connected MDPsby Arsenii Mustafin, Alex Olshevsky, Ioannis Ch. PaschalidisFirst submitted…
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesisby Zongyue Qin, Yunsheng Bai,…
Automated Molecular Concept Generation and Labeling with Large Language Modelsby Zimin Zhang, Qianli Wu, Botao…