Preprint2026
Beyond IID: How General Are Tabular Foundation Models, Really?
Unknown
This paper critically evaluates tabular foundation models, showing they excel on tiny datasets but fail to generalize beyond IID assumptions.
0Jun 1, 2026
arXiv
AI Research
AI & ML Research Papers
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
All Papers
67 papersConferenceIEEE Transactions on Pattern Analysis and Machine Intelligence2014
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, et al.
Introduces Human3.6M, a large-scale dataset of 3.6 million accurate 3D human poses with synchronized images, motion capture, and depth data, along with statistical models and evaluation baselines for 3D human sensing.
4.0kJan 31, 2014Computer Vision
PreprintarXiv.org2024
AI benchmarks and datasets for LLM evaluation
Todor Ivanov, V. Penchev
This paper surveys AI benchmarks and datasets for evaluating large language models, providing a structured overview of existing resources and their applications.
10Dec 1, 2024Fine TuningBenchmarks
arXiv
PreprintDiagnostics2021
TransMed: Transformers Advance Multi-Modal Medical Image Classification
Yin Dai, Yifan Gao, Fayu Liu
TransMed combines CNN and transformer architectures for multi-modal medical image classification, achieving significant accuracy improvements on parotid gland and knee injury datasets.
467Jul 31, 2021TransformersPrompting
arXiv
PreprintComputational Visual Media2019
Salient object detection: A survey
Ali Borji, Ming-Ming Cheng, Qibin Hou, et al.
A comprehensive survey of salient object detection covering 228 publications, including roots, core techniques, datasets, evaluation metrics, and future directions.
839Jun 1, 2019Computer Vision
arXiv
PreprintDrug Discovery Today Technologies2020
A compact review of molecular property prediction with graph neural networks
Oliver Wieder, Stefan M. Kohlbacher, Mélaine A. Kuenemann, et al.
This review structures the dynamic field of GNNs for molecular property prediction by classifying 80 GNNs used across 20+ properties and 48 datasets.
552Dec 1, 2020Neural Networks
PreprintConference on Empirical Methods in Natural Language Processing2025
Protein LLMs
Yijia Xiao, Wanjia Zhao, Junkai Zhang, et al.
This paper provides the first comprehensive overview of Protein LLMs, covering architectures, training datasets, evaluation metrics, and applications, with a structured taxonomy from over 100 articles.
43Feb 21, 2025Large Language Models
arXiv
Preprint2026
Mitra: Mixed synthetic priors for enhancing tabular foundation models
Unknown
Mitra introduces mixed synthetic priors to enhance tabular foundation models, improving in-context learning performance across diverse tabular datasets.
0Jan 1, 2026In Context Learning
Preprint2024
In-context fine-tuning for time-series foundation models
Unknown
This paper introduces in-context fine-tuning for time-series foundation models, enabling adaptation to new datasets without updating model weights.
0Oct 1, 2024Fine TuningIn Context Learning
arXiv
Preprint2025
A comprehensive review of protein language models
Unknown
A comprehensive review of protein language models, datasets, and tools with a curated GitHub repository of resources.
0Feb 1, 2025
arXiv
Preprint2023
Progen2: exploring the boundaries of protein language models
Unknown
ProGen2 introduces a suite of protein language models scaled to 6.4B parameters, trained on diverse protein sequence datasets to explore scaling boundaries.
0Jan 1, 2023
Preprint2026
Common task framework for a critical evaluation of scientific machine learning algorithms
Unknown
The paper introduces a Common Task Framework (CTF) for scientific machine learning, featuring curated datasets and task-specific metrics to enable critical evaluation of algorithms.
0Jan 1, 2026