awesome-tdl
A curated collection of TDL (Tabular Deep Learning) resources—libraries, projects, tutorials, papers, and more—for researchers and developers in the field.
https://github.com/xatta-trone/awesome-tdl
Last synced: 4 days ago
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Papers (94)
- Synthesizing Tabular Data Using Selectivity Enhanced Generative Adversarial Networks
- On-device edge learning for IoT data streams: a survey
- A Survey on Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, and Beyond
- Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer
- DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework
- Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
- X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs
- A Binary Classification Social Network Dataset for Graph Machine Learning
- Understanding the Limits of Deep Tabular Methods with Temporal Shift
- TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization
- Deep-Bench: Deep Learning Benchmark Dataset for Code Generation
- Explanation Space: A New Perspective into Time Series Interpretability
- Occam Gradient Descent
- Boosting Relational Deep Learning with Pretrained Tabular Models
- Loss Functions in Deep Learning: A Comprehensive Review
- TabKAN: Advancing Tabular Data Analysis using Kolmograv-Arnold Network
- Going beyond explainability in multi-modal stroke outcome prediction models
- P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data
- TabNSA: Native Sparse Attention for Efficient Tabular Data Learning
- Exploring Competitive and Collusive Behaviors in Algorithmic Pricing with Deep Reinforcement Learning
- Crash Severity Analysis of Child Bicyclists using Arm-Net and MambaNet
- GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid Relaxation
- HyConEx: Hypernetwork classifier with counterfactual explanations
- Applying Tabular Deep Learning Models to Estimate Crash Injury Types of Young Motorcyclists
- Multi-modal Time Series Analysis: A Tutorial and Survey
- Continual Contrastive Learning on Tabular Data with Out of Distribution
- Sequence Analysis Using the Bezier Curve
- Neural-Guided Equation Discovery
- Deep Q-Learning with Gradient Target Tracking
- A Generative Approach to Credit Prediction with Learnable Prompts for Multi-scale Temporal Representation Learning
- Convex space learning for tabular synthetic data generation
- Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
- TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
- TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
- A Conditional Tabular GAN-Enhanced Intrusion Detection System for Rare Attacks in IoT Networks
- Gradient-based Explanations for Deep Learning Survival Models
- Self-Regulation and Requesting Interventions
- GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
- LLM Embeddings for Deep Learning on Tabular Data
- Hadron Identification Prospects With Granular Calorimeters
- HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling
- Is Deep Learning finally better than Decision Trees on Tabular Data?
- Representation Learning on Out of Distribution in Tabular Data
- Application of Tabular Transformer Architectures for Operating System Fingerprinting
- Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective
- SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
- Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations
- SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection
- (GG) MoE vs. MLP on Tabular Data
- Network-Wide Traffic Flow Estimation Across Multiple Cities with Global Open Multi-Source Data: A Large-Scale Case Study in Europe and North America
- xai_evals : A Framework for Evaluating Post-Hoc Local Explanation Methods
- Data Wrangling Task Automation Using Code-Generating Language Models
- DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models
- Less is More: Simplifying Network Traffic Classification Leveraging RFCs
- A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
- Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring
- Random Feature Representation Boosting
- Tabular and Deep Reinforcement Learning for Gittins Index
- Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
- DEAL: Decoupled Classifier with Adaptive Linear Modulation for Group Robust Early Diagnosis of MCI to AD Conversion
- Multimodal Prescriptive Deep Learning
- One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
- Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations
- Utilising Deep Learning to Elicit Expert Uncertainty
- Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff
- Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation
- Better by Default: Strong Pre-Tuned MLPs and Boosted Trees on Tabular Data
- Graph Counterfactual Explainable AI via Latent Space Traversal
- A Closer Look at Deep Learning Methods on Tabular Datasets
- Large Language Models for Knowledge Graph Embedding Techniques, Methods, and Challenges: A Survey
- Transfer Learning of Tabular Data by Finetuning Large Language Models
- Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models
- Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions
- Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
- Segmenting Action-Value Functions Over Time-Scales in SARSA via TD(ΔΔ)
- VisTabNet: Adapting Vision Transformers for Tabular Data
- Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction
- Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data
- A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography
- Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
- Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners
- Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving Systems
- Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
- You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time
- Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks
- NRGBoost: Energy-Based Generative Boosted Trees
- No Imputation of Missing Values In Tabular Data Classification Using Incremental Learning
- Representation Learning for Tabular Data: A Comprehensive Survey
- Learning Decision Trees as Amortized Structure Inference
- Anchor-based oversampling for imbalanced tabular data via contrastive and adversarial learning
- Mambular: A Sequential Model for Tabular Deep Learning
- How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation
- Accelerating Task Generalisation with Multi-Level Skill Hierarchies
- FeRG-LLM : Feature Engineering by Reason Generation Large Language Models
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Papers
- TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
- A Generative Approach to Credit Prediction with Learnable Prompts for Multi-scale Temporal Representation Learning
- Convex space learning for tabular synthetic data generation
- Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
- TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
- SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
- Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations
- SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection
- A Conditional Tabular GAN-Enhanced Intrusion Detection System for Rare Attacks in IoT Networks
- Gradient-based Explanations for Deep Learning Survival Models
- Self-Regulation and Requesting Interventions
- Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer
- (GG) MoE vs. MLP on Tabular Data
- DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework
- Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring
- Random Feature Representation Boosting
- Tabular and Deep Reinforcement Learning for Gittins Index
- Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
- DEAL: Decoupled Classifier with Adaptive Linear Modulation for Group Robust Early Diagnosis of MCI to AD Conversion
- Multimodal Prescriptive Deep Learning
- One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
- Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations
- Utilising Deep Learning to Elicit Expert Uncertainty
- X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs
- Graph Counterfactual Explainable AI via Latent Space Traversal
- A Closer Look at Deep Learning Methods on Tabular Datasets
- Large Language Models for Knowledge Graph Embedding Techniques, Methods, and Challenges: A Survey
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Papers (77)
- LLM Embeddings for Deep Learning on Tabular Data
- Hadron Identification Prospects With Granular Calorimeters
- HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling
- Is Deep Learning finally better than Decision Trees on Tabular Data?
- Representation Learning on Out of Distribution in Tabular Data
- Application of Tabular Transformer Architectures for Operating System Fingerprinting
- Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective
- xai_evals : A Framework for Evaluating Post-Hoc Local Explanation Methods
- Data Wrangling Task Automation Using Code-Generating Language Models
- DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models
- Less is More: Simplifying Network Traffic Classification Leveraging RFCs
- A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
- Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff
- Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation
- Better by Default: Strong Pre-Tuned MLPs and Boosted Trees on Tabular Data
-
Papers (90)
- Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models
- Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions
- Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
- Segmenting Action-Value Functions Over Time-Scales in SARSA via TD(ΔΔ)
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