TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data | Paper Citation Record

Observation b9e9f375-b6d9-457d-9dda-dc12529f3550 · outbound

This paper cites Tabnet: Attentive interpretable tabular learning.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Tabnet: Attentive interpretable tabular learning

Reference 1

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Observation 24a56faa-9684-4a2d-90b3-635c3734a962 · outbound

This paper cites Gradient Boosting Neural Networks: GrowNet.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Gradient Boosting Neural Networks: GrowNet

Reference 2

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Observation 3699c76b-2c97-446e-8093-e11fc57d64b2 · outbound

This paper cites SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 3

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Observation 42604585-cf71-41fe-88e3-369ca82dff80 · outbound

This paper cites Deep neural networks and tabular data: A survey.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Deep neural networks and tabular data: A survey

Reference 4

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Observation a18eca42-996b-48b1-8df5-3225af08c4b2 · outbound

This paper cites Random forests.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Random forests

Reference 5

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Observation 49df2d13-213c-48ea-bdae-e8a8c2d729a9 · outbound

This paper cites Classification and regression trees.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Classification and regression trees

Reference 6

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Observation b60d14d5-200f-44a0-b84b-ddec65bd8796 · outbound

This paper cites Some recent advances in design of bayesian binomial reliability demonstration tests.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Some recent advances in design of bayesian binomial reliability demonstration tests

Reference 7

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Observation edd8ad62-efd6-42ae-ba52-e3abf73d9645 · outbound

This paper cites Personalized fall risk assessment for long-term care services improvement.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Personalized fall risk assessment for long-term care services improvement

Reference 8

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Observation d995c2dd-f1dc-413b-83ca-a3dd1284d3bd · outbound

This paper cites Claims data-driven modeling of hospital time-to-readmission risk with latent heterogeneity.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Claims data-driven modeling of hospital time-to-readmission risk with latent heterogeneity

Reference 9

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Observation a3336564-4be3-4b8d-bcd9-32a366a9f93b · outbound

This paper cites Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population

Reference 10

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Observation c1a2e415-589e-42f2-b4de-0d7d5b2f4150 · outbound

This paper cites Multi-state reliability demonstration tests.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Multi-state reliability demonstration tests

Reference 11

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Observation 7804946c-71f0-4cc9-93c1-fbab94824c98 · outbound

This paper cites A data heterogeneity modeling and quantification approach for field pre-assessment of chloride-induced corrosion in aging infrastructures.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data A data heterogeneity modeling and quantification approach for field pre-assessment of chloride-induced corrosion in aging infrastructures

Reference 12

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Observation b4e57886-31f3-44d3-a7cb-022ace77b07f · outbound

This paper cites ReConTab: Regularized Contrastive Representation Learning for Tabular Data.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 13

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Observation 1d904b6b-6563-4cd7-9a87-fa262575b003 · outbound

This paper cites Xgboost: A scalable tree boosting system.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Xgboost: A scalable tree boosting system

Reference 14

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Observation 92a2d7da-2a25-4236-9ee8-92a5ee173393 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data A simple framework for contrastive learning of visual representations

Reference 15

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Observation f16504b0-ee5e-4220-9484-4aca7e89455d · outbound

This paper cites Decoupling zero-shot semantic segmenta- tion.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Decoupling zero-shot semantic segmenta- tion

Reference 16

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Observation c9472771-fdb8-4bab-9e1b-f9bcab7f1a00 · outbound

This paper cites Revisiting deep learning models for tabular data.Advances in Neural Information Processing Systems, 34:18932– 18943, 2021.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Revisiting deep learning models for tabular data.Advances in Neural Information Processing Systems, 34:18932– 18943, 2021

Reference 17

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Observation 1d75561f-082f-4acf-9ada-bd9384b5a41e · outbound

This paper cites Analysis of the automl challenge series 2015-2018.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Analysis of the automl challenge series 2015-2018

Reference 18

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Observation 2eeed47e-d600-4623-b115-17555afc6b46 · outbound

This paper cites Generalized linear models.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Generalized linear models

Reference 19

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Observation 51287ef0-05a6-4bc3-880a-fff5c94df708 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Momentum contrast for unsupervised visual representation learning

Reference 20

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Observation 1a288bd1-830c-485d-bbbb-8dc9775584f3 · outbound

This paper cites Deep residual learning for image recognition.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Deep residual learning for image recognition

Reference 21

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Observation 8c7da6c5-10f3-4804-a887-8aee3c8fddaf · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 22

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Observation 47d251a8-cefd-4104-b20c-ede148d4b47e · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Lightgbm: A highly efficient gradient boosting decision tree

Reference 23

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Observation c317ed19-87de-4b4b-a33c-93c0141f5c86 · outbound

This paper cites Deepgbm: A deep learning framework distilled by gbdt for online prediction tasks.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Deepgbm: A deep learning framework distilled by gbdt for online prediction tasks

Reference 24

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Observation e9b2505f-3de5-43e2-9aff-a88176db6434 · outbound

This paper cites Tabnn: A universal neural network solution for tabular data.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Tabnn: A universal neural network solution for tabular data

Reference 25

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Observation e5cf8c03-8330-45b4-8a1b-a5cd920b1496 · outbound

This paper cites Supervised contrastive learning.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Supervised contrastive learning

Reference 26

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Observation 515e8f33-ff69-4402-8359-032ccd0f13bb · outbound

This paper cites Self-normalizing neural networks.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Self-normalizing neural networks

Reference 27

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Observation d5cd0d87-b1a4-4fc1-b6a0-630b2b17ae8d · outbound

This paper cites A combinatorial algorithm for approxi- mating the optimal transport in the parallel and mpc settings.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data A combinatorial algorithm for approxi- mating the optimal transport in the parallel and mpc settings

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:51.130032Z

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Observation f14c13a3-e534-44e5-837e-e6d6e833a932 · outbound

This paper cites Residual-based lan- guage models are free boosters for biomedical imaging tasks.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Residual-based lan- guage models are free boosters for biomedical imaging tasks

Reference 29

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Observation e6ffad33-78c6-40b7-a6e3-3d99960dface · outbound

This paper cites Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection

Reference 30

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Observation cf6fd0dd-1f8e-4bd3-be63-29cc8c7908ec · outbound

This paper cites Machine learning in agriculture: A review.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Machine learning in agriculture: A review

Reference 31

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Observation fac7e098-ca4c-4b98-bfb1-fa0a302d7604 · outbound

This paper cites TALENT: A Tabular Analytics and Learning Toolbox.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data TALENT: A Tabular Analytics and Learning Toolbox

Reference 32

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Observation 33f38952-f706-446f-acd4-12e76a30db6f · outbound

This paper cites An efficient framework for learning sentence repre- sentations.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data An efficient framework for learning sentence repre- sentations

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:51.083920Z

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Observation 50d5891e-d728-4906-ba4f-f2f88927c468 · outbound

This paper cites Unsupervised domain-specific deblurring via disentangled representations.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Unsupervised domain-specific deblurring via disentangled representations

Reference 34

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Observation f7e5f0df-daea-4501-b2e2-d5a1ad6bd55f · outbound

This paper cites A data-driven approach to predict the success of bank telemarketing.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data A data-driven approach to predict the success of bank telemarketing

Reference 35

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Observation 332257e1-4b02-4be1-85fd-6022a88a010e · outbound

This paper cites Telco customer churn.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Telco customer churn

Reference 36

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Observation 62b4d0f2-a246-4fbe-b90b-09ec7f9ec434 · outbound

This paper cites Computing all optimal partial transports.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Computing all optimal partial transports

Reference 37

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Observation 9606921a-1fa0-4db5-9706-cf493986080e · outbound

This paper cites Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Reference 38

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Observation 77783b0b-3129-4506-958f-13605d833c79 · outbound

This paper cites Catboost: unbiased boosting with categorical features.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Catboost: unbiased boosting with categorical features

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:51.004159Z

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Observation 99796672-2150-491d-b58d-338c0b0b59c9 · outbound

This paper cites Secure and robust machine learning for healthcare: A survey.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Secure and robust machine learning for healthcare: A survey

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.986865Z

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Observation 08ae7a16-1c55-4425-8d95-ffdec5335286 · outbound

This paper cites A new robust partial p-wasserstein- based metric for comparing distributions.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data A new robust partial p-wasserstein- based metric for comparing distributions

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.970614Z

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Observation 9de6c92a-e82e-4e0e-96f3-5f11b31cb3cd · outbound

This paper cites Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and lstm recurrent neural networks.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and lstm recurrent neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.954788Z

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Observation 275ddb07-3c38-43b5-86f8-b73bf667e4be · outbound

This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 43

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Observation 11160eb8-f0de-4bf5-a569-9da4ce77bc11 · outbound

This paper cites Autoint: Automatic feature interaction learning via self-attentive neural networks.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Autoint: Automatic feature interaction learning via self-attentive neural networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.938453Z

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Observation 6f325db5-0d6f-4ee0-a4c3-51141491c9c0 · outbound

This paper cites Optimizing Crop Management with Reinforcement Learning and Imitation Learning.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Optimizing Crop Management with Reinforcement Learning and Imitation Learning

Reference 45

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Observation cfd7d0d2-4da6-416b-9f75-ef758694db58 · outbound

This paper cites Optimal test design for reliability demonstration under multi-stage acceptance uncertainties.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Optimal test design for reliability demonstration under multi-stage acceptance uncertainties

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.922830Z

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Observation c5747a57-1786-4f5a-80c3-a884dd9b9555 · outbound

This paper cites Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems

Reference 47

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Observation 330e9a45-7c32-40b0-a88f-730ff1b9176b · outbound

This paper cites Balanced training for sparse gans.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Balanced training for sparse gans

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.896813Z

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Observation e12f28ae-4b23-44cb-ad98-8b20dd12c9e6 · outbound

This paper cites Transtab: Learning transferable tabular transformers across tables.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Transtab: Learning transferable tabular transformers across tables

Reference 49

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Observation 864cd134-d9f8-48cf-b308-ac3231c1b4cd · outbound

This paper cites Logistic regression.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Logistic regression

Reference 50

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Observation 237ffdd2-318b-404b-9c70-f1cacea9a7e3 · outbound

This paper cites Switchtab: Switched autoencoders are effective tabular learners.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Switchtab: Switched autoencoders are effective tabular learners

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.854793Z

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Observation 131d37a6-fa5b-4058-b2df-4f844761247e · outbound

This paper cites Hallucination improves the performance of unsupervised visual representation learning.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Hallucination improves the performance of unsupervised visual representation learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.839225Z

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Observation a0da38ae-121a-46ff-ab54-ecae6a32f250 · outbound

This paper cites GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:57:50.520062Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7f392a0-0151-4277-bf9c-b8d784e7b8cc · outbound

This paper cites The new agronomists: Language models are experts in crop management.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data The new agronomists: Language models are experts in crop management

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.822867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 98b34c40-a1e3-4372-ae4f-2a9a8dc6b55e · outbound

This paper cites CROPS: A Deployable Crop Management System Over All Possible State Availabilities.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data CROPS: A Deployable Crop Management System Over All Possible State Availabilities

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:57:50.498520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 918df10b-6cd0-4d68-8b34-532062d92795 · outbound

This paper cites Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:57:50.475647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 99f781c9-bc19-479c-84f5-9cea2a3118cf · outbound

This paper cites Optimizing nitrogen management with deep reinforcement learning and crop simulations.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Optimizing nitrogen management with deep reinforcement learning and crop simulations

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.807771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a6ef50a4-5e9c-4839-b52a-7f39e07e6276 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T18:57:50.381706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d64a7a28-e623-41bc-9715-15a6c3a53dc3 · outbound

This paper cites Multiplexed orbital angular momentum beams demultiplexing using hybrid optical-electronic convolutional neural network.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Multiplexed orbital angular momentum beams demultiplexing using hybrid optical-electronic convolutional neural network

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.792683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9622ef5-9317-48d0-9e38-fc9b8a325847 · outbound

This paper cites Multiplexed oam beams classification via fourier optical convolutional neural network.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Multiplexed oam beams classification via fourier optical convolutional neural network

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.775513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3935656a-194d-4803-9f30-1f72790cab52 · outbound

This paper cites Oam beams multiplexing and classification under atmospheric turbulence via fourier convolutional neural network.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Oam beams multiplexing and classification under atmospheric turbulence via fourier convolutional neural network

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.758851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55627048-8504-4ca2-97d8-82fe216b1c2a · outbound

This paper cites Demultiplexing oam beams via fourier optical convolutional neural network.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Demultiplexing oam beams via fourier optical convolutional neural network

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.743365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d127722a-5e93-4148-9555-ceae30e7e9a1 · outbound

This paper cites Free-space optical multiplexed orbital angular momentum beam identification system using fourier optical convolutional layer based on 4f system.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Free-space optical multiplexed orbital angular momentum beam identification system using fourier optical convolutional layer based on 4f system

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.727492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 25bc0c24-c0b2-462e-bc04-218ecbe60ab2 · outbound

This paper cites Disentangled non-local neural networks.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Disentangled non-local neural networks

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.712399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1927534-a9c5-4024-8907-e7e769969b7d · outbound

This paper cites Vime: Extending the success of self-and semi-supervised learning to tabular domain.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Vime: Extending the success of self-and semi-supervised learning to tabular domain

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:57:50.697225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Outbound references

Pith citing papers