mlsanityData to 14 Oct 2026

Dual Supervised Learning

arXiv 1707.00415 ↗First posted 3 Jul 2017cs.LG stat.MLcited by 33

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Abstract (arXiv)

Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text to speech, and image classification vs. image generation. Two dual tasks have intrinsic connections with each other due to the probabilistic correlation between their models. This connection is, however, not effectively utilized today, since people usually train the models of two dual tasks separately and independently. In this work, we propose training the models of two dual tasks simultaneously, and explicitly exploiting the probabilistic correlation between them to regularize the training process. For ease of reference, we call the proposed approach dual supervised learning. We demonstrate that dual supervised learning can improve the practical performances of both tasks, for various applications including machine translation, image processing, and sentiment analysis.

Key facts. Cited by 33 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Jul 2017.

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Citing papers per year: 2021: 10; 2022: 9; 2023: 7; 2024: 5; 2025: 2.

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  1. 2022Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigationcited by 51
  2. 2021Neural-Symbolic Solver for Math Word Problems with Auxiliary Taskscited by 38
  3. 2022Modeling Dual Read/Write Paths for Simultaneous Machine Translationcited by 21
  4. 2021LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identificationcited by 16
  5. 2022There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memorycited by 16
  6. 2024DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanismscited by 16
  7. 2022Towards Lightweight Super-Resolution with Dual Regression Learningcited by 13
  8. 2021Dual Metric Learning for Effective and Efficient Cross-Domain Recommendationscited by 12
  9. 2021Duplex Sequence-to-Sequence Learning for Reversible Machine Translationcited by 9
  10. 2021An Information Retrieval Approach to Building Datasets for Hate Speech Detectioncited by 9
  11. 2021Recommender systems based on graph embedding techniques: A comprehensive reviewcited by 8
  12. 2025SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewardscited by 8
21 more
  1. 2023Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimationcited by 7
  2. 2023Typo-Robust Representation Learning for Dense Retrievalcited by 6
  3. 2022DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generationcited by 5
  4. 2023Interactive Molecular Discovery with Natural Languagecited by 5
  5. 2021On the Generative Utility of Cyclic Conditionalscited by 4
  6. 2024Unsupervised Sign Language Translation and Generationcited by 4
  7. 2021Multi-Party Dual Learningcited by 3
  8. 2021Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernelscited by 3
  9. 2022Dual Learning Music Composition and Dance Choreographycited by 3
  10. 2022Dual Task Framework for Improving Persona-grounded Dialogue Datasetcited by 2
  11. 2022Deep Compatible Learning for Partially-Supervised Medical Image Segmentationcited by 2
  12. 2023Text Style Transfer Back-Translationcited by 2
  13. 2023DualTalker: A Cross-Modal Dual Learning Approach for Speech-Driven 3D Facial Animationcited by 2
  14. 2024The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translationcited by 2
  15. 2025Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMscited by 2
  16. 2021Verdi: Quality Estimation and Error Detection for Bilingual Corporacited by 1
  17. 2023Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue Systemcited by 1
  18. 2024Synergistic Dual Spatial-aware Generation of Image-to-Text and Text-to-Imagecited by 1
  19. 2022Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detectioncited by 0
  20. 2023CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolutioncited by 0
  21. 2024Dual-Label Learning With Irregularly Present Labelscited by 0