Kyunghyun Cho
Orcid: 0000-0003-1669-3211Affiliations:
- New York University, Courant Institute of Mathematical Sciences
According to our database1,
Kyunghyun Cho
authored at least 318 papers
between 2010 and 2024.
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Collaborative distances:
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Bibliography
2024
IEEE Trans. Vis. Comput. Graph., January, 2024
Let's Go Shopping (LGS) - Web-Scale Image-Text Dataset for Visual Concept Understanding.
CoRR, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
2023
CoRR, 2023
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models.
CoRR, 2023
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs.
CoRR, 2023
CoRR, 2023
Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Conference on Causal Learning and Reasoning, 2023
A Transformer-based Function Symbol Name Inference Model from an Assembly Language for Binary Reversing.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction.
Bioinform., October, 2022
CoRR, 2022
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction.
CoRR, 2022
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences.
CoRR, 2022
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design.
CoRR, 2022
CoRR, 2022
Causal Scene BERT: Improving object detection by searching for challenging groups of data.
CoRR, 2022
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Interspeech 2022, 2022
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data.
PLoS Comput. Biol., 2021
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.
Medical Image Anal., 2021
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.
J. Digit. Imaging, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction.
CoRR, 2021
NetQuilt: deep multispecies network-based protein function prediction using homology-informed network similarity.
Bioinform., 2021
Proceedings of the Sixth Conference on Machine Translation, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Medical Imaging, 2020
Navigation-based candidate expansion and pretrained language models for citation recommendation.
Scientometrics, 2020
Mach. Transl., 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks.
J. Mach. Learn. Res., 2020
CoRR, 2020
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned.
CoRR, 2020
Understanding the robustness of deep neural network classifiers for breast cancer screening.
CoRR, 2020
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Attention-based CNN for KL Grade Classification: Data from the Osteoarthritis Initiative.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset.
Proceedings of the First Workshop on Scholarly Document Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 42nd European Conference on Information Retrieval, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, 2020
Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation.
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Trans. Assoc. Comput. Linguistics, 2019
Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models.
CoRR, 2019
Improving localization-based approaches for breast cancer screening exam classification.
CoRR, 2019
A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models.
CoRR, 2019
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
Proceedings of the 12th International Conference on Natural Language Generation, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019
2018
IEEE Trans. Emerg. Top. Comput. Intell., 2018
Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia.
NeuroImage, 2018
Neural Comput., 2018
Neurocomputing, 2018
Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning.
CoRR, 2018
CoRR, 2018
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples.
CoRR, 2018
Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging.
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word Embedding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018
Letting a Neural Network Decide Which Machine Translation System to Use for Black-Box Fuzzy-Match Repair.
Proceedings of the 21st Annual Conference of the European Association for Machine Translation, 2018
The NYU System for the CoNLL-SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection.
Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, Brussels, October 31, 2018
Proceedings of the Joint Proceedings of the AIIDE 2018 Workshops co-located with 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2018), 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Trans. Assoc. Comput. Linguistics, 2017
The representational geometry of word meanings acquired by neural machine translation models.
Mach. Transl., 2017
From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042).
Dagstuhl Reports, 2017
Comput. Speech Lang., 2017
Introduction to the special issue on deep learning approaches for machine translation.
Comput. Speech Lang., 2017
Comput. Speech Lang., 2017
CoRR, 2017
CoRR, 2017
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks.
CoRR, 2017
Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks.
CoRR, 2017
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
Proceedings of the Third Workshop on Discourse in Machine Translation, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Trans. Assoc. Comput. Linguistics, 2016
Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers.
CoRR, 2016
WebNav: A New Large-Scale Task for Natural Language based Sequential Decision Making.
CoRR, 2016
CoRR, 2016
CoRR, 2016
CoRR, 2016
Proceedings of the First Conference on Machine Translation, 2016
Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach.
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the NAACL HLT 2016, 2016
Proceedings of the NAACL HLT 2016, 2016
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism.
Proceedings of the NAACL HLT 2016, 2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Proceedings of the COLING 2016, 2016
Proceedings of the British Machine Vision Conference 2016, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
A Character-level Decoder without Explicit Segmentation for Neural Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
IEEE Trans. Multim., 2015
Neural Networks, 2015
Measuring the usefulness of hidden units in Boltzmann machines with mutual information.
Neural Networks, 2015
Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism.
CoRR, 2015
CoRR, 2015
CoRR, 2015
CoRR, 2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks.
CoRR, 2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015
Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition.
Proceedings of the INTERSPEECH 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Proceedings of the 2nd International Conference on Learning Representations, 2014
CoRR, 2014
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results.
CoRR, 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.
CoRR, 2014
Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning.
CoRR, 2014
Proceedings of the VISAPP 2014, 2014
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation.
Proceedings of SSST@EMNLP 2014, 2014
Proceedings of SSST@EMNLP 2014, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
2013
Proceedings of the 1st International Conference on Learning Representations, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images.
Proceedings of the 30th International Conference on Machine Learning, 2013
Gaussian-Bernoulli restricted Boltzmann machines and automatic feature extraction for noise robust missing data mask estimation.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
2012
An iterative algorithm for singular value decomposition on noisy incomplete matrices.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
2011
Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines.
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2010
Proceedings of the International Joint Conference on Neural Networks, 2010