Kyunghyun Cho

Learning from Natural Language Feedback
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System-Level Natural Language Feedback
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A Transformer-based Function Symbol Name Inference Model from an Assembly Language for Binary Reversing
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Leveraging Implicit Feedback from Deployment Data in Dialogue
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Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs
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Improving Joint Speech-Text Representations Without Alignment
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Training Language Models with Language Feedback at Scale
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Protein remote homology detection and structural alignment using deep learning
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Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
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Blind Biological Sequence Denoising with Self-Supervised Set Learning
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A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale
20232 citationsauthor #3
Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy
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Latent State Models of Training Dynamics
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Emulating radiation transport on cosmological scale using a denoising Unet
20231 citationsauthor #5
Detecting incidental correlation in multimodal learning via latent variable modeling
20234 citationsauthor #4
Predicting Out-of-Domain Generalization with Neighborhood Invariance
20226 citationsauthor #3
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
202260 citationsauthor #5
Training Language Models with Language Feedback
202255 citationsauthor #5
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea
202214 citationsauthor #5
Translating Hanja Historical Documents to Contemporary Korean and English
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Probabilistic Matrix Factorization for Gene Regulatory Network Inference
20220 citationsauthor #4
Towards Disentangled Speech Representations
20229 citationsauthor #4
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?
20222 citationsauthor #9
Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks
2022120 citationsauthor #3
Training Language Models with Natural Language Feedback
202224 citationsauthor #5
Translating Hanja historical documents to understandable Korean and English
20220 citationsauthor #5
A Non-monotonic Self-terminating Language Model
20220 citationsauthor #3
Separating the World and Ego Models for Self-Driving
20226 citationsauthor #4
Joint Embedding Predictive Architectures Focus on Slow Features
202213 citationsauthor #5
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
2022109 citationsauthor #7
Online hyperparameter optimization by real-time recurrent learning
20219 citationsauthor #3
LINDA: Unsupervised Learning to Interpolate in Natural Language Processing
20218 citationsauthor #3
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement
20216 citationsauthor #6
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms
202111 citationsauthor #8
Stereo Video Reconstruction Without Explicit Depth Maps for Endoscopic Surgery
20210 citationsauthor #3
AlphaD3M: Machine Learning Pipeline Synthesis
202192 citationsauthor #6
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
202125 citationsauthor #3
Amortized Noisy Channel Neural Machine Translation
20215 citationsauthor #3
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling
202110 citationsauthor #3
DEEP: DEnoising Entity Pre-training for Neural Machine Translation
202128 citationsauthor #3
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning
202117 citationsauthor #5
Self-Supervised Equivariant Scene Synthesis from Video
20210 citationsauthor #6
AAVAE: Augmentation-Augmented Variational Autoencoders
202111 citationsauthor #4
AASAE: Augmentation-Augmented Stochastic Autoencoders
20211 citationsauthor #4
Compositionality and Capacity in Emergent Languages
202011 citationsauthor #5
Unsupervised Question Decomposition for Question Answering
2020199 citationsauthor #4
Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings
20207 citationsauthor #2
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search
2020107 citationsauthor #2
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
2020112 citationsauthor #2
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning
20206 citationsauthor #2
Evaluating representations by the complexity of learning low-loss predictors
202025 citationsauthor #5
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
2020192 citationsauthor #6
Neural machine translation with a polysynthetic low resource language
202060 citationsauthor #3
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset
202059 citationsauthor #4
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
2020153 citationsauthor #2
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening
202015 citationsauthor #5
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
202077 citationsauthor #8
Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation
20207 citationsauthor #2
Attention-based CNN for KL Grade Classification: Data from the Osteoarthritis Initiative
202061 citationsauthor #3
A Study on the Autoregressive and non-Autoregressive Multi-label Learning
20203 citationsauthor #3
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation
202036 citationsauthor #3
Evaluating Pretrained Transformer Models for Citation Recommendation
20207 citationsauthor #3
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
20201,085 citationsauthor #4
Understanding the robustness of deep neural network classifiers for breast cancer screening
20201 citationsauthor #6
Consistency of a Recurrent Language Model with Respect to Incomplete Decoding
202075 citationsauthor #5
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
2020551 citationsauthor #2
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
2020331 citationsauthor #69
higher : A Pytorch Meta-Learning Library
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Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
202028 citationsauthor #2
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
202063 citationsauthor #9
Learned Equivariant Rendering without Transformation Supervision
20200 citationsauthor #5
MLE-guided parameter search for task loss minimization in neural sequence modeling
20209 citationsauthor #2
Differences between human and machine perception in medical diagnosis
202032 citationsauthor #20
Consideration of dreams and interpretations in classics
20200 citationsauthor #1
AdapterHub: A Framework for Adapting Transformers
2020717 citationsauthor #7
On the Discrepancy between Density Estimation and Sequence Generation
202011 citationsauthor #4
Navigation-based candidate expansion and pretrained language models for citation recommendation
202021 citationsauthor #3
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms
20205 citationsauthor #8
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation
202030 citationsauthor #3
NetQuilt: deep multispecies network-based protein function prediction using homology-informed network similarity
202021 citationsauthor #3
Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data
202030 citationsauthor #5
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative.
2020187 citationsauthor #7
VisualSem: a high-quality knowledge graph for vision and language
202056 citationsauthor #5
Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation
20200 citationsauthor #3
Connecting the Dots: Event Graph Schema Induction with Path Language Modeling
202091 citationsauthor #4
Rapidly Bootstrapping a Question Answering Dataset for COVID-19
202071 citationsauthor #6
Learning to Learn Morphological Inflection for Resource-Poor Languages
20209 citationsauthor #3
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
2020189 citationsauthor #10
Augmentation for small object detection
2019640 citationsauthor #5
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior
2019124 citationsauthor #4
Countering Language Drift via Grounding
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Inducing Constituency Trees through Neural Machine Translation
20194 citationsauthor #2
Can Unconditional Language Models Recover Arbitrary Sentences?
201926 citationsauthor #3
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations
2019110 citationsauthor #3
Deep Unsupervised Drum Transcription
201925 citationsauthor #2
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
2019569 citationsauthor #31
Multi-Turn Beam Search for Neural Dialogue Modeling
20193 citationsauthor #3
Neural Machine Translation with Byte-Level Subwords
2019208 citationsauthor #2
Countering Language Drift via Visual Grounding
201975 citationsauthor #2
Neural Text Generation with Unlikelihood Training
2019665 citationsauthor #5

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