SOTAVerified

tabular-classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–48 of 48 papers

TitleStatusHype
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications—0
Is margin all you need? An extensive empirical study of active learning on tabular data—0
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems—0
Learning Interpretable Differentiable Logic Networks for Tabular Regression—0
The Disagreement Problem in Faithfulness Metrics—0
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning—0
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks—0
Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck—0
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications—0
STAND: Data-Efficient and Self-Aware Precondition Induction for Interactive Task Learning—0
Test-Time Training Provably Improves Transformers as In-context Learners—0
SCARF: Self-Supervised Contrastive Learning using Random Feature CorruptionCode0
MSBoost: Using Model Selection with Multiple Base Estimators for Gradient BoostingCode0
Transformers with Stochastic Competition for Tabular Data ModellingCode0
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak LearnersCode0
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble ModelsCode0
What exactly has TabPFN learned to do?Code0
Bayesian Concept Bottleneck Models with LLM PriorsCode0
Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular ClassificationCode0
How good is my story? Towards quantitative metrics for evaluating LLM-generated XAI narrativesCode0
Improve Deep Forest with Learnable Layerwise Augmentation Policy ScheduleCode0
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss FunctionsCode0
CARE: Coherent Actionable Recourse based on Sound Counterfactual ExplanationsCode0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.