SOTAVerified

tabular-classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–48 of 48 papers

TitleStatusHype
Learning Interpretable Differentiable Logic Networks for Tabular Regression—0
Test-Time Training Provably Improves Transformers as In-context Learners—0
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning—0
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak LearnersCode0
TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approachCode1
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMsCode2
What exactly has TabPFN learned to do?Code0
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems—0
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
Bayesian Concept Bottleneck Models with LLM PriorsCode0
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual ExplanationsCode1
STAND: Data-Efficient and Self-Aware Precondition Induction for Interactive Task Learning—0
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce ApplicationsCode1
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss FunctionsCode0
Transformers with Stochastic Competition for Tabular Data ModellingCode0
Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs—0
Pairwise Difference Learning for ClassificationCode1
ALPBench: A Benchmark for Active Learning Pipelines on Tabular DataCode1
MSBoost: Using Model Selection with Multiple Base Estimators for Gradient BoostingCode0
Tokenize features, enhancing tables: the FT-TABPFN model for tabular classification—0
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications—0
TuneTables: Context Optimization for Scalable Prior-Data Fitted NetworksCode1
MotherNet: Fast Training and Inference via Hyper-Network TransformersCode1
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks—0
The Disagreement Problem in Faithfulness Metrics—0
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications—0
Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class ImbalanceCode1
Improve Deep Forest with Learnable Layerwise Augmentation Policy ScheduleCode0
Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck—0
A Suite of Fairness Datasets for Tabular Classification—0
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization—0
TabLLM: Few-shot Classification of Tabular Data with Large Language ModelsCode2
Is margin all you need? An extensive empirical study of active learning on tabular data—0
PTab: Using the Pre-trained Language Model for Modeling Tabular Data—0
GANDALF: Gated Adaptive Network for Deep Automated Learning of FeaturesCode1
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a SecondCode5
The GatedTabTransformer. An enhanced deep learning architecture for tabular modelingCode1
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble ModelsCode0
Fieldwise Factorized Networks for Tabular Data Classification—0
CARE: Coherent Actionable Recourse based on Sound Counterfactual ExplanationsCode0
SCARF: Self-Supervised Contrastive Learning using Random Feature CorruptionCode0
Revisiting Deep Learning Models for Tabular DataCode1
Metalearning Using Structure-rich Pipeline Representations for Better AutoML—0
TabTransformer: Tabular Data Modeling Using Contextual EmbeddingsCode1
Ensemble Squared: A Meta AutoML System—0
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?Code1
Generative Imputation and Stochastic PredictionCode1
Show:102550

No leaderboard results yet.