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tabular-classification

Papers

Showing 125 of 48 papers

TitleStatusHype
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a SecondCode5
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMsCode2
TabLLM: Few-shot Classification of Tabular Data with Large Language ModelsCode2
TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approachCode1
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual ExplanationsCode1
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce ApplicationsCode1
Pairwise Difference Learning for ClassificationCode1
ALPBench: A Benchmark for Active Learning Pipelines on Tabular DataCode1
TuneTables: Context Optimization for Scalable Prior-Data Fitted NetworksCode1
MotherNet: Fast Training and Inference via Hyper-Network TransformersCode1
Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class ImbalanceCode1
GANDALF: Gated Adaptive Network for Deep Automated Learning of FeaturesCode1
The GatedTabTransformer. An enhanced deep learning architecture for tabular modelingCode1
Revisiting Deep Learning Models for Tabular DataCode1
TabTransformer: Tabular Data Modeling Using Contextual EmbeddingsCode1
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?Code1
Generative Imputation and Stochastic PredictionCode1
Learning Interpretable Differentiable Logic Networks for Tabular Regression0
Test-Time Training Provably Improves Transformers as In-context Learners0
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning0
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak LearnersCode0
What exactly has TabPFN learned to do?Code0
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems0
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
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