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Showing 26–48 of 48 papers

TitleStatusHype
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization—0
Fieldwise Factorized Networks for Tabular Data Classification—0
A Suite of Fairness Datasets for Tabular Classification—0
Tokenize features, enhancing tables: the FT-TABPFN model for tabular classification—0
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
Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck—0
Test-Time Training Provably Improves Transformers as In-context Learners—0
PTab: Using the Pre-trained Language Model for Modeling Tabular Data—0
Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs—0
The Disagreement Problem in Faithfulness Metrics—0
MSBoost: Using Model Selection with Multiple Base Estimators for Gradient BoostingCode0
Improve Deep Forest with Learnable Layerwise Augmentation Policy ScheduleCode0
Transformers with Stochastic Competition for Tabular Data ModellingCode0
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss FunctionsCode0
CARE: Coherent Actionable Recourse based on Sound Counterfactual ExplanationsCode0
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak LearnersCode0
Bayesian Concept Bottleneck Models with LLM PriorsCode0
Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular ClassificationCode0
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble ModelsCode0
How good is my story? Towards quantitative metrics for evaluating LLM-generated XAI narrativesCode0
What exactly has TabPFN learned to do?Code0
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