Kyunghyun Cho

According to our database1, Kyunghyun Cho authored at least 182 papers between 2010 and 2018.

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Bibliography

2018
The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging.
IEEE Trans. Emerging Topics in Comput. Intellig., 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

Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes.
Neural Computation, 2018

Fine-grained attention mechanism for neural machine translation.
Neurocomputing, 2018

Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning.
CoRR, 2018

Pommerman: A Multi-Agent Playground.
CoRR, 2018

Jump to better conclusions: SCAN both left and right.
CoRR, 2018

Grammar Induction with Neural Language Models: An Unusual Replication.
CoRR, 2018

Meta-Learning for Low-Resource Neural Machine Translation.
CoRR, 2018

Backplay: "Man muss immer umkehren".
CoRR, 2018

Learning Distributed Representations from Reviews for Collaborative Filtering.
CoRR, 2018

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder.
CoRR, 2018

Classifier-agnostic saliency map extraction.
CoRR, 2018

Conditional molecular design with deep generative models.
CoRR, 2018

Context-Attentive Embeddings for Improved Sentence Representations.
CoRR, 2018

A Stable and Effective Learning Strategy for Trainable Greedy Decoding.
CoRR, 2018

Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding.
CoRR, 2018

Vehicle Community Strategies.
CoRR, 2018

Training a Ranking Function for Open-Domain Question Answering.
CoRR, 2018

Fine-Grained Attention Mechanism for Neural Machine Translation.
CoRR, 2018

Controlling Decoding for More Abstractive Summaries with Copy-Based Networks.
CoRR, 2018

Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples.
CoRR, 2018

Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement.
CoRR, 2018

Training a Ranking Function for Open-Domain Question Answering.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Breast Density Classification with Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Dynamic Meta-Embeddings for Improved Sentence Representations.
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

Grammar Induction with Neural Language Models: An Unusual Replication.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Meta-Learning for Low-Resource Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Stable and Effective Learning Strategy for Trainable Greedy Decoding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 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

Zero-Shot Transfer Learning for Event Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Code-Switched Named Entity Recognition with Embedding Attention.
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018

Search Engine Guided Neural Machine Translation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Fully Character-Level Neural Machine Translation without Explicit Segmentation.
TACL, 2017

The representational geometry of word meanings acquired by neural machine translation models.
Machine Translation, 2017

From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042).
Dagstuhl Reports, 2017

On integrating a language model into neural machine translation.
Computer Speech & Language, 2017

Multi-way, multilingual neural machine translation.
Computer Speech & Language, 2017

Introduction to the special issue on deep learning approaches for machine translation.
Computer Speech & Language, 2017

Context-dependent word representation for neural machine translation.
Computer Speech & Language, 2017

Loss Functions for Multiset Prediction.
CoRR, 2017

Saliency-based Sequential Image Attention with Multiset Prediction.
CoRR, 2017

Breast density classification with deep convolutional neural networks.
CoRR, 2017

Unsupervised Neural Machine Translation.
CoRR, 2017

Emergent Translation in Multi-Agent Communication.
CoRR, 2017

Graph Convolutional Networks for Classification with a Structured Label Space.
CoRR, 2017

Attention-based Mixture Density Recurrent Networks for History-based Recommendation.
CoRR, 2017

A Tutorial on Deep Learning for Music Information Retrieval.
CoRR, 2017

A Comparison on Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging.
CoRR, 2017

Nematus: a Toolkit for Neural Machine Translation.
CoRR, 2017

Task-Oriented Query Reformulation with Reinforcement Learning.
CoRR, 2017

Does Neural Machine Translation Benefit from Larger Context?
CoRR, 2017

Zero-Shot Transfer Learning for Event Extraction.
CoRR, 2017

Boundary-Seeking Generative Adversarial Networks.
CoRR, 2017

Search Engine Guided Non-Parametric Neural Machine Translation.
CoRR, 2017

Trainable Greedy Decoding for Neural Machine Translation.
CoRR, 2017

High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks.
CoRR, 2017

Emergent Language in a Multi-Modal, Multi-Step Referential Game.
CoRR, 2017

Learning to Parse and Translate Improves Neural Machine Translation.
CoRR, 2017

SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine.
CoRR, 2017

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks.
CoRR, 2017

Transfer learning for music classification and regression tasks.
CoRR, 2017

On the Robustness of Deep Convolutional Neural Networks for Music Classification.
CoRR, 2017

Strawman: an Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis.
CoRR, 2017

Saliency-based Sequential Image Attention with Multiset Prediction.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Transfer Learning for Music Classification and Regression Tasks.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Convolutional recurrent neural networks for music classification.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Task-Oriented Query Reformulation with Reinforcement Learning.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Trainable Greedy Decoding for Neural Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Nematus: a Toolkit for Neural Machine Translation.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Learning to Translate in Real-time with Neural Machine Translation.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Neural Machine Translation for Cross-Lingual Pronoun Prediction.
Proceedings of the Third Workshop on Discourse in Machine Translation, 2017

Learning to Parse and Translate Improves Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Query-Efficient Imitation Learning for End-to-End Simulated Driving.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning to Understand Phrases by Embedding the Dictionary.
TACL, 2016

Query-Efficient Imitation Learning for End-to-End Autonomous Driving.
CoRR, 2016

Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers.
CoRR, 2016

A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation.
CoRR, 2016

WebNav: A New Large-Scale Task for Natural Language based Sequential Decision Making.
CoRR, 2016

Gated Word-Character Recurrent Language Model.
CoRR, 2016

Fully Character-Level Neural Machine Translation without Explicit Segmentation.
CoRR, 2016

Semantic Noise Modeling for Better Representation Learning.
CoRR, 2016

Learning Distributed Representations of Sentences from Unlabelled Data.
CoRR, 2016

Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes.
CoRR, 2016

Learning to Translate in Real-time with Neural Machine Translation.
CoRR, 2016

Zero-Resource Translation with Multi-Lingual Neural Machine Translation.
CoRR, 2016

Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism.
CoRR, 2016

A Character-level Decoder without Explicit Segmentation for Neural Machine Translation.
CoRR, 2016

Convolutional Recurrent Neural Networks for Music Classification.
CoRR, 2016

Context-Dependent Word Representation for Neural Machine Translation.
CoRR, 2016

Can neural machine translation do simultaneous translation?
CoRR, 2016

Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model.
CoRR, 2016

Recurrent Neural Networks for Multivariate Time Series with Missing Values.
CoRR, 2016

First Result on Arabic Neural Machine Translation.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

NYU-MILA Neural Machine Translation Systems for WMT'16.
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

A Two-stage Approach for Extending Event Detection to New Types via Neural Networks.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

End-to-End Goal-Driven Web Navigation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Iterative Refinement of the Approximate Posterior for Directed Belief Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Joint Event Extraction via Recurrent Neural Networks.
Proceedings of the NAACL HLT 2016, 2016

Learning Distributed Representations of Sentences from Unlabelled Data.
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

Gated Word-Character Recurrent Language Model.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Zero-Resource Translation with Multi-Lingual Neural Machine Translation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation.
Proceedings of the COLING 2016, 2016

Oracle Performance for Visual Captioning.
Proceedings of the British Machine Vision Conference 2016, 2016

Larger-Context Language Modelling with Recurrent Neural Network.
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
Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks.
IEEE Trans. Multimedia, 2015

Two-layer contractive encodings for learning stable nonlinear features.
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

Trainable performance upper bounds for image and video captioning.
CoRR, 2015

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
CoRR, 2015

Larger-Context Language Modelling.
CoRR, 2015

ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks.
CoRR, 2015

ReSeg: A Recurrent Neural Network for Object Segmentation.
CoRR, 2015

A Controller Recognizer Framework: How necessary is recognition for control?
CoRR, 2015

Iterative Refinement of Approximate Posterior for Training Directed Belief Networks.
CoRR, 2015

Learning to Understand Phrases by Embedding the Dictionary.
CoRR, 2015

On Using Monolingual Corpora in Neural Machine Translation.
CoRR, 2015

First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks.
CoRR, 2015

Gated Feedback Recurrent Neural Networks.
CoRR, 2015

Attention-Based Models for Speech Recognition.
CoRR, 2015

Describing Multimedia Content using Attention-based Encoder-Decoder Networks.
CoRR, 2015

Natural Language Understanding with Distributed Representation.
CoRR, 2015

Montreal Neural Machine Translation Systems for WMT'15.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

Learning Distributed Representations from Reviews for Collaborative Filtering.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Attention-Based Models for Speech Recognition.
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

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Gated Feedback Recurrent Neural Networks.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Describing Videos by Exploiting Temporal Structure.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

On Using Very Large Target Vocabulary for Neural Machine Translation.
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
Foundations and Advances in Deep Learning.
PhD thesis, 2014

On the Equivalence Between Deep NADE and Generative Stochastic Networks.
CoRR, 2014

Iterative Neural Autoregressive Distribution Estimator (NADE-k).
CoRR, 2014

Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation.
CoRR, 2014

On the Number of Linear Regions of Deep Neural Networks.
CoRR, 2014

On Using Very Large Target Vocabulary for Neural Machine Translation.
CoRR, 2014

Embedding Word Similarity with Neural Machine Translation.
CoRR, 2014

Not All Neural Embeddings are Born Equal.
CoRR, 2014

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization.
CoRR, 2014

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.
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

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.
CoRR, 2014

Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning.
CoRR, 2014

Neural Machine Translation by Jointly Learning to Align and Translate.
CoRR, 2014

Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks.
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

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.
Proceedings of SSST@EMNLP 2014, 2014

On the Equivalence between Deep NADE and Generative Stochastic Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Iterative Neural Autoregressive Distribution Estimator NADE-k.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the Number of Linear Regions of Deep Neural Networks.
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
Enhanced Gradient for Training Restricted Boltzmann Machines.
Neural Computation, 2013

Boltzmann Machines and Denoising Autoencoders for Image Denoising
CoRR, 2013

How to Construct Deep Recurrent Neural Networks.
CoRR, 2013

Learned-norm pooling for deep neural networks.
CoRR, 2013

Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks.
CoRR, 2013

Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons.
CoRR, 2013

Gaussian-Bernoulli deep Boltzmann machine.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Two-Layer Contractive Encodings with Shortcuts for Semi-supervised Learning.
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

Measuring the Usefulness of Hidden Units in Boltzmann Machines with Mutual Information.
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

A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Boltzmann Machines for Image Denoising.
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

Tikhonov-Type Regularization for Restricted Boltzmann Machines.
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

Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Parallel tempering is efficient for learning restricted Boltzmann machines.
Proceedings of the International Joint Conference on Neural Networks, 2010


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