Kyunghyun Cho
Identifiers
- name variant Kyunghyun Cho 0.60 · backfill
Papers (117)
- Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence physics.flu-dyn · 2026 · author #6
- Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review stat.AP · 2026 · author #6
- Always Learning, Always Mixing: Efficient and Simple Data Mixing All The Time cs.CL · 2026 · author #3
- MIMIC: A Generative Multimodal Foundation Model for Biomolecules cs.AI · 2026 · author #14
- Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction cs.LG · 2026 · author #11
- Conformal Policy Control cs.AI · 2026 · author #4
- Neural Neural Scaling Laws cs.LG · 2026 · author #5
- Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts cs.CL · 2025 · author #7
- RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning cs.LG · 2025 · author #13
- Self-Rewarding Language Models cs.CL · 2024 · author #3
- A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks cs.LG · 2019 · author #2
- Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations cs.CL · 2019 · author #3
- Using local plasticity rules to train recurrent neural networks q-bio.NC · 2019 · author #2
- Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar cs.LG · 2019 · author #5
- Task-Driven Data Verification via Gradient Descent cs.LG · 2019 · author #2
- Advancing GraphSAGE with A Data-Driven Node Sampling cs.LG · 2019 · author #2
- Context-Aware Learning for Neural Machine Translation cs.CL · 2019 · author #2
- Continual Learning via Neural Pruning cs.LG · 2019 · author #3
- Augmentation for small object detection cs.CV · 2019 · author #5
- BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model cs.CL · 2019 · author #2
- Passage Re-ranking with BERT cs.IR · 2019 · author #2
- Dialogue Natural Language Inference cs.CL · 2018 · author #4
- Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning cs.LG · 2018 · author #2
- Grammar Induction with Neural Language Models: An Unusual Replication cs.CL · 2018 · author #2
- Meta-Learning for Low-Resource Neural Machine Translation cs.CL · 2018 · author #4
- Learning Distributed Representations from Reviews for Collaborative Filtering cs.LG · 2018 · author #3
- DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder cs.CL · 2018 · author #2
- Conditional molecular design with deep generative models cs.LG · 2018 · author #2
- Dynamic Meta-Embeddings for Improved Sentence Representations cs.CL · 2018 · author #3
- A Stable and Effective Learning Strategy for Trainable Greedy Decoding cs.CL · 2018 · author #3
- Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding cs.CL · 2018 · author #2
- Vehicle Communication Strategies for Simulated Highway Driving cs.MA · 2018 · author #3
- Training a Ranking Function for Open-Domain Question Answering cs.CL · 2018 · author #3
- Fine-Grained Attention Mechanism for Neural Machine Translation cs.CL · 2018 · author #2
- Controlling Decoding for More Abstractive Summaries with Copy-Based Networks cs.CL · 2018 · author #4
- Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples cs.LG · 2018 · author #2
- Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement cs.LG · 2018 · author #3
- Loss Functions for Multiset Prediction cs.LG · 2017 · author #6
- Saliency-based Sequential Image Attention with Multiset Prediction cs.CV · 2017 · author #3
- Breast density classification with deep convolutional neural networks cs.CV · 2017 · author #9
- Unsupervised Neural Machine Translation cs.CL · 2017 · author #4
- Graph Convolutional Networks for Classification with a Structured Label Space cs.LG · 2017 · author #3
- Emergent Translation in Multi-Agent Communication cs.CL · 2017 · author #2
- Attention-based Mixture Density Recurrent Networks for History-based Recommendation cs.LG · 2017 · author #2
- A Tutorial on Deep Learning for Music Information Retrieval cs.CV · 2017 · author #3
- Strawman: an Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis cs.CL · 2017 · author #1
- Zero-Shot Transfer Learning for Event Extraction cs.CL · 2017 · author #3
- The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging cs.IR · 2017 · author #3
- Emergent Communication in a Multi-Modal, Multi-Step Referential Game cs.LG · 2017 · author #4
- Search Engine Guided Non-Parametric Neural Machine Translation cs.CL · 2017 · author #3
- Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks cs.CV · 2017 · author #7
- SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine cs.CL · 2017 · author #6
- Does Neural Machine Translation Benefit from Larger Context? stat.ML · 2017 · author #4
- Task-Oriented Query Reformulation with Reinforcement Learning cs.IR · 2017 · author #2
- Transfer learning for music classification and regression tasks cs.CV · 2017 · author #4
- High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks cs.CV · 2017 · author #10
- Nematus: a Toolkit for Neural Machine Translation cs.CL · 2017 · author #3
- Boundary-Seeking Generative Adversarial Networks stat.ML · 2017 · author #5
- Learning to Parse and Translate Improves Neural Machine Translation cs.CL · 2017 · author #3
- Trainable Greedy Decoding for Neural Machine Translation cs.CL · 2017 · author #2
- Semantic Noise Modeling for Better Representation Learning cs.LG · 2016 · author #3
- Spatio-temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks cs.NE · 2016 · author #3
- Fully Character-Level Neural Machine Translation without Explicit Segmentation cs.CL · 2016 · author #2
- Learning to Translate in Real-time with Neural Machine Translation cs.CL · 2016 · author #3
- Convolutional Recurrent Neural Networks for Music Classification cs.NE · 2016 · author #4
- Towards Music Captioning: Generating Music Playlist Descriptions cs.MM · 2016 · author #4
- Context-Dependent Word Representation for Neural Machine Translation cs.CL · 2016 · author #2
- Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes cs.LG · 2016 · author #3
- A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation cs.CL · 2016 · author #5
- Zero-Resource Translation with Multi-Lingual Neural Machine Translation cs.CL · 2016 · author #5
- First Result on Arabic Neural Machine Translation cs.CL · 2016 · author #2
- Can neural machine translation do simultaneous translation? cs.CL · 2016 · author #1
- Recurrent Neural Networks for Multivariate Time Series with Missing Values cs.LG · 2016 · author #3
- Gated Word-Character Recurrent Language Model cs.CL · 2016 · author #2
- Query-Efficient Imitation Learning for End-to-End Autonomous Driving cs.LG · 2016 · author #2
- Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model cs.CL · 2016 · author #1
- Theano: A Python framework for fast computation of mathematical expressions cs.SC · 2016 · author #22
- A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation cs.CL · 2016 · author #2
- Learning Distributed Representations of Sentences from Unlabelled Data cs.CL · 2016 · author #2
- End-to-End Goal-Driven Web Navigation cs.AI · 2016 · author #2
- Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers cs.CL · 2016 · author #2
- Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism cs.CL · 2016 · author #2
- Natural Language Understanding with Distributed Representation cs.CL · 2015 · author #1
- ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation cs.CV · 2015 · author #5
- A Controller-Recognizer Framework: How necessary is recognition for control? cs.LG · 2015 · author #4
- First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks cs.CV · 2015 · author #4
- Iterative Refinement of the Approximate Posterior for Directed Belief Networks cs.LG · 2015 · author #2
- Oracle performance for visual captioning cs.CV · 2015 · author #3
- Larger-Context Language Modelling cs.CL · 2015 · author #2
- Describing Multimedia Content using Attention-based Encoder--Decoder Networks cs.NE · 2015 · author #1
- Attention-Based Models for Speech Recognition cs.CL · 2015 · author #4
- ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks cs.CV · 2015 · author #3
- Learning to Understand Phrases by Embedding the Dictionary cs.CL · 2015 · author #2
- On Using Monolingual Corpora in Neural Machine Translation cs.CL · 2015 · author #4
- Describing Videos by Exploiting Temporal Structure stat.ML · 2015 · author #3
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention cs.LG · 2015 · author #4
- Gated Feedback Recurrent Neural Networks cs.NE · 2015 · author #3
- Embedding Word Similarity with Neural Machine Translation cs.CL · 2014 · author #2
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling cs.NE · 2014 · author #3
- On Using Very Large Target Vocabulary for Neural Machine Translation cs.CL · 2014 · author #2
- End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results cs.NE · 2014 · author #3
- Not All Neural Embeddings are Born Equal cs.CL · 2014 · author #2
- On the Properties of Neural Machine Translation: Encoder-Decoder Approaches cs.CL · 2014 · author #1
- Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation cs.CL · 2014 · author #4
- On the Equivalence Between Deep NADE and Generative Stochastic Networks stat.ML · 2014 · author #3
- Neural Machine Translation by Jointly Learning to Align and Translate cs.CL · 2014 · author #2
- Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning stat.ML · 2014 · author #1
- Identifying and attacking the saddle point problem in high-dimensional non-convex optimization cs.LG · 2014 · author #4
- Iterative Neural Autoregressive Distribution Estimator (NADE-k) stat.ML · 2014 · author #3
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation cs.CL · 2014 · author #1
- On the Number of Linear Regions of Deep Neural Networks stat.ML · 2014 · author #3
- How to Construct Deep Recurrent Neural Networks cs.NE · 2013 · author #3
- Bounding the Test Log-Likelihood of Generative Models cs.LG · 2013 · author #3
- Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks cs.NE · 2013 · author #2
- Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks cs.CV · 2013 · author #1
- Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons cs.NE · 2013 · author #1
- Boltzmann Machines and Denoising Autoencoders for Image Denoising stat.ML · 2013 · author #1
Mentions
- 1511.07916 #1 · backfill · confidence 0.70 Kyunghyun Cho
- 1511.07053 #5 · backfill · confidence 0.70 Kyunghyun Cho
- 1511.06428 #4 · backfill · confidence 0.70 Kyunghyun Cho
- 1511.06425 #4 · backfill · confidence 0.70 Kyunghyun Cho
- 1511.06382 #2 · backfill · confidence 0.70 Kyunghyun Cho
- 1511.04590 #3 · backfill · confidence 0.70 Kyunghyun Cho
- 1511.03729 #2 · backfill · confidence 0.70 Kyunghyun Cho
- 1507.01053 #1 · backfill · confidence 0.70 Kyunghyun Cho
- 1506.07503 #4 · backfill · confidence 0.70 Kyunghyun Cho
- 1505.00393 #3 · backfill · confidence 0.70 Kyunghyun Cho
- 1504.00548 #2 · backfill · confidence 0.70 Kyunghyun Cho
- 1503.03535 #4 · backfill · confidence 0.70 Kyunghyun Cho
- 1502.08029 #3 · backfill · confidence 0.70 Kyunghyun Cho
- 1502.03044 #4 · backfill · confidence 0.70 Kyunghyun Cho
- 1502.02367 #3 · backfill · confidence 0.70 Kyunghyun Cho
- 1412.6448 #2 · backfill · confidence 0.70 Kyunghyun Cho
- 2606.01470 #6 · arxiv_oai · confidence 0.70 Kyunghyun Cho
- 1412.3555 #3 · backfill · confidence 0.70 Kyunghyun Cho
- 1412.2007 #2 · backfill · confidence 0.70 Kyunghyun Cho
- 1412.1602 #3 · backfill · confidence 0.70 Kyunghyun Cho
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- 1409.1259 #1 · backfill · confidence 0.70 Kyunghyun Cho
- 1409.1257 #4 · backfill · confidence 0.70 Kyunghyun Cho
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- 1406.7362 #1 · backfill · confidence 0.70 Kyunghyun Cho
- 1406.2572 #4 · backfill · confidence 0.70 Kyunghyun Cho
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- 1406.1078 #1 · backfill · confidence 0.70 Kyunghyun Cho
- 1402.1869 #3 · backfill · confidence 0.70 Kyunghyun Cho
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- 1306.3874 #1 · backfill · confidence 0.70 Kyunghyun Cho
- 1306.2801 #1 · backfill · confidence 0.70 Kyunghyun Cho
- 2605.25172 #6 · arxiv_oai · confidence 0.70 Kyunghyun Cho
- 1301.3468 #1 · backfill · confidence 0.70 Kyunghyun Cho
- 2605.15220 #3 · arxiv_oai · confidence 0.70 Kyunghyun Cho
Frequent Coauthors
- Yoshua Bengio 33 shared papers
- Aaron Courville 9 shared papers
- Caglar Gulcehre 9 shared papers
- Dzmitry Bahdanau 7 shared papers
- Li Yao 6 shared papers
- Orhan Firat 6 shared papers
- Victor O.K. Li 6 shared papers
- Jiatao Gu 5 shared papers
- Keunwoo Choi 5 shared papers
- Mark Sandler 5 shared papers
- Razvan Pascanu 5 shared papers
- Felix Hill 4 shared papers
- Jason Weston 4 shared papers
- Junyoung Chung 4 shared papers
- Kelvin Xu 4 shared papers
- Siavash Golkar 4 shared papers
- Amjad Almahairi 3 shared papers
- Bart van Merrienboer 3 shared papers
- Douwe Kiela 3 shared papers
- Francesco Visin 3 shared papers