Cho, Kyunghyun

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Natural Language Processing TechniquesTopic Modeling

Cited by 25,545

Neural Machine Translation by Jointly Learning to Align and Translate

Bahdanau, D., Cho, K., & Bengio, Y. (2014) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 16,213

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2014) · arXiv

Neural Networks and ApplicationsSpeech Recognition and Synthesis

Cited by 11,008

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhutdinov, R., Zemel, R., & Bengio, Y. (2015) · arXiv

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 8,248

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 3,317

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Che, Z., Purushotham, S., Cho, K., Sontag, D., & Liu, Y. (2018) · Scientific Reports

Time Series Analysis and ForecastingMachine Learning in Healthcare

Cited by 2,370

Attention-Based Models for Speech Recognition

Chorowski, J., Bahdanau, D., Serdyuk, D., Cho, K., & Bengio, Y. (2015) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 2,021

Describing Videos by Exploiting Temporal Structure

Yao, L., Torabi, A., Cho, K., Ballas, N., Pal, C., Larochelle, H., & Courville, A. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 1,035

On Using Very Large Target Vocabulary for Neural Machine Translation

Jean, S., Cho, K., Memisevic, R., & Bengio, Y. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 862

On the Number of Linear Regions of Deep Neural Networks

Montúfar, G., Pascanu, R., Cho, K., & Bengio, Y. (2014) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 840

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization

Dauphin, Y., Pascanu, R., Gulcehre, C., Cho, K., Ganguli, S., & Bengio, Y. (2014) · arXiv

Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms Research

Cited by 827

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Pfeiffer, J., Kamath, A., Rücklé, A., Cho, K., & Gurevych, I. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 636

Unsupervised Neural Machine Translation

Artetxe, M., Labaka, G., Agirre, E., & Cho, K. (2017) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 632

Passage Re-ranking with BERT

Nogueira, R., & Cho, K. (2019) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 615

Gated Feedback Recurrent Neural Networks

Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2015) · arXiv

Neural Networks and ApplicationsTopic Modeling

Cited by 583

Learning Distributed Representations of Sentences from Unlabelled Data

Hill, F., Cho, K., & Korhonen, A. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 566

Health system-scale language models are all-purpose prediction engines

Jiang, L. Y., Liu, X. C., Nejatian, N. P., Nasir-Moin, M., Wang, D., Abidin, A., Eaton, K., Riina, H. A., Laufer, I., Punjabi, P., et al. (2023) · Nature

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 460

Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms

Schaffter, T., Buist, D. S. M., Lee, C. I., Nikulin, Y., Ribli, D., Guan, Y., Lotter, W., Jie, Z., Du, H., Wang, S., et al. (2020) · JAMA Network Open

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 409

Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement

Lee, J., Mansimov, E., & Cho, K. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 386

SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Dunn, M., Sagun, L., Higgins, M., Guney, V. U., Cirik, V., & Cho, K. (2017) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 359

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

Wang, A., Cho, K., & Lewis, M. (2020) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 356

Neural Text Generation with Unlikelihood Training

Welleck, S., Kulikov, I., Roller, S., Dinan, E., Cho, K., & Weston, J. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 254

Dialogue Natural Language Inference

Welleck, S., Weston, J., Szlam, A., & Cho, K. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 249

True Few-Shot Learning with Language Models

Perez, E., Kiela, D., & Cho, K. (2021) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 226