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tabular-classification

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Showing 1–25 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
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