KyungHyun Cho

Publication Activity (10 Years)

Years Active: 2010-2018
Publications (10 Years): 12

Top Topics

Empirical Evaluation

Top Venues

Publications

Sergey M. Plis, Md Faijul Amin, Adam Chekroud, R. Devon Hjelm, Eswar Damaraju, Hyo Jong Lee, Juan R. Bustillo, KyungHyun Cho, Godfrey D. Pearlson, Vince D. Calhoun
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 181 (2018)
Orhan Firat, KyungHyun Cho, Yoshua Bengio
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism. CoRR (2016)
Felix Hill, KyungHyun Cho, Anna Korhonen, Yoshua Bengio
Learning to Understand Phrases by Embedding the Dictionary. Trans. Assoc. Comput. Linguistics 4 (2016)
Junyoung Chung, Çaglar Gülçehre, KyungHyun Cho, Yoshua Bengio
Gated Feedback Recurrent Neural Networks. CoRR (2015)
KyungHyun Cho, Aaron C. Courville, Yoshua Bengio
Describing Multimedia Content using Attention-based Encoder-Decoder Networks. CoRR (2015)
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, KyungHyun Cho, Yoshua Bengio
Attention-Based Models for Speech Recognition. CoRR (2015)
Mathias Berglund, Tapani Raiko, KyungHyun Cho
Measuring the usefulness of hidden units in Boltzmann machines with mutual information. Neural Networks 64 (2015)
Francesco Visin, Kyle Kastner, Aaron C. Courville, Yoshua Bengio, Matteo Matteucci, KyungHyun Cho
ReSeg: A Recurrent Neural Network for Object Segmentation. CoRR (2015)
Sébastien Jean, KyungHyun Cho, Roland Memisevic, Yoshua Bengio
On Using Very Large Target Vocabulary for Neural Machine Translation. ACL (1) (2015)
Li Yao, Nicolas Ballas, KyungHyun Cho, John R. Smith, Yoshua Bengio
Trainable performance upper bounds for image and video captioning. CoRR (2015)
Marcin Moczulski, Kelvin Xu, Aaron C. Courville, KyungHyun Cho
A Controller Recognizer Framework: How necessary is recognition for control? CoRR (2015)
Hannes Schulz, KyungHyun Cho, Tapani Raiko, Sven Behnke
Two-layer contractive encodings for learning stable nonlinear features. Neural Networks 64 (2015)
Çaglar Gülçehre, KyungHyun Cho, Razvan Pascanu, Yoshua Bengio
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks. ECML/PKDD (1) (2014)
Yann N. Dauphin, Razvan Pascanu, Çaglar Gülçehre, KyungHyun Cho, Surya Ganguli, Yoshua Bengio
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. NIPS (2014)
Felix Hill, KyungHyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio
Not All Neural Embeddings are Born Equal. CoRR (2014)
Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, KyungHyun Cho, Yoshua Bengio
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. CoRR (2014)
Li Yao, Sherjil Ozair, KyungHyun Cho, Yoshua Bengio
On the Equivalence between Deep NADE and Generative Stochastic Networks. ECML/PKDD (3) (2014)
Tapani Raiko, Li Yao, KyungHyun Cho, Yoshua Bengio
Iterative Neural Autoregressive Distribution Estimator NADE-k. NIPS (2014)
Guido F. Montúfar, Razvan Pascanu, KyungHyun Cho, Yoshua Bengio
On the Number of Linear Regions of Deep Neural Networks. NIPS (2014)
Junyoung Chung, Çaglar Gülçehre, KyungHyun Cho, Yoshua Bengio
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. CoRR (2014)
KyungHyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. CoRR (2014)
KyungHyun Cho
Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons. ICONIP (1) (2013)
KyungHyun Cho
Boltzmann Machines for Image Denoising. ICANN (2013)
Mathias Berglund, Tapani Raiko, KyungHyun Cho
Measuring the Usefulness of Hidden Units in Boltzmann Machines with Mutual Information. ICONIP (1) (2013)
Sami Keronen, KyungHyun Cho, Tapani Raiko, Alexander Ilin, Kalle J. Palomäki
Gaussian-Bernoulli restricted Boltzmann machines and automatic feature extraction for noise robust missing data mask estimation. ICASSP (2013)
Hannes Schulz, KyungHyun Cho, Tapani Raiko, Sven Behnke
Two-Layer Contractive Encodings with Shortcuts for Semi-supervised Learning. ICONIP (1) (2013)
KyungHyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen
A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. ICANN (2013)
KyungHyun Cho, Tapani Raiko, Alexander Ilin
Enhanced Gradient for Training Restricted Boltzmann Machines. Neural Comput. 25 (3) (2013)
KyungHyun Cho, Tapani Raiko, Alexander Ilin
Gaussian-Bernoulli deep Boltzmann machine. IJCNN (2013)
KyungHyun Cho, Alexander Ilin, Tapani Raiko
Tikhonov-Type Regularization for Restricted Boltzmann Machines. ICANN (1) (2012)
KyungHyun Cho, Nima Reyhani
An iterative algorithm for singular value decomposition on noisy incomplete matrices. IJCNN (2012)
KyungHyun Cho, Tapani Raiko, Alexander Ilin
Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines. ICML (2011)
KyungHyun Cho, Alexander Ilin, Tapani Raiko
Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines. ICANN (1) (2011)
KyungHyun Cho, Tapani Raiko, Alexander Ilin
Parallel tempering is efficient for learning restricted Boltzmann machines. IJCNN (2010)