Kyunghyun Cho
145 papers · 2013–2025 · 19 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 40 separate collaboration groups - the largest holds only 46% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Kyunghyun Cho?
16 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Stephen Ra, Andreas Loukas, Vladimir Gligorijevic
15 papers
· 2023–2025
· ICLR, NeurIPS, ICML
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Concept Bottleneck Language Models For Protein Design
ICLR 2025
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks
ICML 2025
Semiparametric conformal prediction
AISTATS 2025
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
ICML 2024
Concept Bottleneck Generative Models
ICLR 2024
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models
NAACL 2024
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
NeurIPS 2024
Preference Learning Algorithms Do Not Learn Preference Rankings
NeurIPS 2024
Protein Discovery with Discrete Walk-Jump Sampling
ICLR 2024
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
ICLR 2024
AbDiffuser: full-atom generation of in-vitro functioning antibodies
NeurIPS 2023
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
CLeaR 2023
Linear Connectivity Reveals Generalization Strategies
ICLR 2023
Protein Design with Guided Discrete Diffusion
NeurIPS 2023
Towards Understanding and Improving GFlowNet Training
ICML 2023
24 papers whose co-authors appear nowhere else under this name
X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
ICLR 2025
Language Models as Causal Effect Generators
EMNLP 2025
Predicting the Year of Total Knee Replacement: A Transformer-Based Multimodal Approach
MIDL 2025
The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models
NAACL 2025
Generalization Measures for Zero-Shot Cross-Lingual Transfer
EMNLP 2024
Multiple Physics Pretraining for Spatiotemporal Surrogate Models
NeurIPS 2024
Non-convolutional graph neural networks.
NeurIPS 2024
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
ICML 2024
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
ICML 2024
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
ICLR 2021
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search
ACL 2021
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement
EMNLP 2021
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
JMLR 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
EMNLP 2020
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples
CVPR 2019
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop
EMNLP 2018
Learning to Parse and Translate Improves Neural Machine Translation
ACL 2017
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation
COLING 2016
Gated Word-Character Recurrent Language Model
EMNLP 2016
Joint Event Extraction via Recurrent Neural Networks
NAACL 2016
Larger-Context Language Modelling with Recurrent Neural Network
ACL 2016
Learning Distributed Representations of Sentences from Unlabelled Data
NAACL 2016
Neural Machine Translation
ACL 2016
Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images
ICML 2013