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title: "Kyunghyun Cho — all works, page 3 — Elamur Research"
description: "All 483 works of Kyunghyun Cho in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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# Kyunghyun Cho — all works

483 works · page 3 of 5 · 201–300 · [← Kyunghyun Cho](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/)

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201. **[First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models ↗](https://aclanthology.org/2024.naacl-long.128/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Naomi Saphra et al.*2024 · 18 citations*
202. **[Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar ↗](https://arxiv.org/abs/1905.10345) arXiv (Cornell University) · no summary yet**Iddo Drori et al.*2019 · 18 citations*
203. **[Advancing GraphSAGE with A Data-Driven Node Sampling ↗](https://arxiv.org/abs/1904.12935) arXiv (Cornell University) · no summary yet**Jihun Oh, Kyunghyun Cho, Joan Bruna*2019 · 18 citations*
204. **[Dynamics-aware Embeddings ↗](https://arxiv.org/abs/1908.09357) arXiv (Cornell University) · no summary yet**Whitney, William et al.*2019 · 18 citations*
205. **[Classifier-agnostic saliency map extraction ↗](https://doi.org/10.1016/j.cviu.2020.102969) Computer Vision and Image Understanding · no summary yet**Konrad Żołna, Krzysztof J. Geras, Kyunghyun Cho*2018 · 18 citations*
206. **[Graph Convolutional Networks for Classification with a Structured Label Space ↗](https://arxiv.org/abs/1710.04908) arXiv (Cornell University) · no summary yet**Chen, Meihao, Lin, Zhuoru, Kyunghyun Cho*2017 · 18 citations*
207. **[Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks ↗](https://doi.org/10.3389/fnins.2018.00600) Frontiers in Neuroscience · no summary yet**R Devon Hjelm et al.*2016 · 18 citations*
208. **[Loss Functions for Multiset Prediction ↗](https://arxiv.org/abs/1711.05246) arXiv (Cornell University) · no summary yet**Sean Welleck et al.*2017 · 17 citations*
209. **[Boltzmann Machines for Image Denoising ↗](https://doi.org/10.1007/978-3-642-40728-4_76) Lecture notes in computer science · no summary yet**Kyunghyun Cho*2013 · 17 citations*
210. **[Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ↗](https://arxiv.org/abs/2012.14193) arXiv (Cornell University) · no summary yet**Stanisław Jastrzȩbski et al.*2020 · 16 citations*
211. **[Controlling Decoding for More Abstractive Summaries with Copy-Based Networks ↗](https://arxiv.org/abs/1803.07038) arXiv (Cornell University) · no summary yet**Noah Weber et al.*2018 · 16 citations*
212. **[Bounding the Test Log-Likelihood of Generative Models ↗](https://arxiv.org/abs/1311.6184) arXiv (Cornell University) · no summary yet**Yoshua Bengio, Yao, Li, Kyunghyun Cho*2013 · 16 citations*
213. **[On the Discrepancy between Density Estimation and Sequence Generation ↗](https://aclanthology.org/2020.spnlp-1.10/) Proceedings of the Fourth Workshop on Structured Prediction for NLP · no summary yet**Jason Lee et al.*2020 · 15 citations*
214. **[Tikhonov-Type Regularization for Restricted Boltzmann Machines ↗](https://doi.org/10.1007/978-3-642-33269-2_11) Lecture notes in computer science · no summary yet**Kyunghyun Cho, Alexander Ilin, Tapani Raiko*2012 · 15 citations*
215. **[Multiple Physics Pretraining for Spatiotemporal Surrogate Models ↗](https://doi.org/10.52202/079017-3791) neural information processing systems · no summary yet**Michael McCabe et al.*2024 · 14 citations*
216. **[Learning to Learn Morphological Inflection for Resource-Poor Languages ↗](https://doi.org/10.1609/aaai.v34i05.6316) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Katharina Kann, Samuel R. Bowman, Kyunghyun Cho*2020 · 14 citations*
217. **[Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule ↗](https://arxiv.org/abs/2009.07783) arXiv (Cornell University) · no summary yet**Shuhei Kurita, Kyunghyun Cho*2020 · 14 citations*
218. **[Endowing Language Models with Multimodal Knowledge Graph Representations ↗](https://arxiv.org/abs/2206.13163) arXiv (Cornell University) · no summary yet**Ningyuan Teresa Huang et al.*2022 · 13 citations*
219. **[Translating Hanja Historical Documents to Contemporary Korean and English ↗](https://aclanthology.org/2022.findings-emnlp.91/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Juhee Son et al.*2022 · 13 citations*
220. **[Evaluating representations by the complexity of learning low-loss predictors ↗](https://arxiv.org/abs/2009.07368) arXiv (Cornell University) · no summary yet**Whitney, William F. et al.*2020 · 13 citations*
221. **[Aioli: A Unified Optimization Framework for Language Model Data Mixing ↗](https://arxiv.org/abs/2411.05735) arXiv (Cornell University) · no summary yet**Mayee F. Chen et al.*2024 · 12 citations*
222. **[Leveraging Implicit Feedback from Deployment Data in Dialogue ↗](https://aclanthology.org/2024.eacl-short.8/) Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Richard Yuanzhe Pang et al.*2024 · 12 citations*
223. **[HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea ↗](https://aclanthology.org/2022.findings-naacl.140/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**Haneul Yoo et al.*2022 · 12 citations*
224. **[LINDA: Unsupervised Learning to Interpolate in Natural Language Processing ↗](https://arxiv.org/abs/2112.13969) arXiv (Cornell University) · no summary yet**Yekyung Kim, Seohyeong Jeong, Kyunghyun Cho*2021 · 12 citations*
225. **[Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms ↗](https://doi.org/10.1007/s10278-021-00530-6) Journal of Imaging Informatics in Medicine · no summary yet**Nan Wu et al.*2021 · 12 citations*
226. **[Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning ↗](https://aclanthology.org/2020.coling-main.230/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Jon Ander Campos et al.*2020 · 12 citations*
227. **[Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop ↗](https://aclanthology.org/D18-1527/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Rujun Han et al.*2018 · 12 citations*
228. **[NYU-MILA Neural Machine Translation Systems for WMT'16 ↗](https://aclanthology.org/W16-2309/) Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers · no summary yet**Junyoung Chung, Kyunghyun Cho, Yoshua Bengio*2016 · 12 citations*
229. **[Advances in Independent Component Analysis and Learning Machines ↗](https://openalex.org/W2591583594) no summary yet**Juha Karhunen, Tapani Raiko, Kyunghyun Cho*2015 · 12 citations*
230. **[The International Conference on Artificial Neural Networks (ICANN 2011) ↗](https://openalex.org/W2593687594) no summary yet**Kyunghyun Cho, Alexander Ilin, Tapani Raiko*2011 · 12 citations*
231. **[Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check ↗](https://aclanthology.org/2025.findings-emnlp.877/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Nicholas Lourie, Michael Y. Hu, Kyunghyun Cho*2025 · 11 citations*
232. **[MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling ↗](https://doi.org/10.1609/aaai.v35i16.17652) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Sean Welleck, Kyunghyun Cho*2021 · 11 citations*
233. **[Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples ↗](https://arxiv.org/abs/1802.09502) arXiv (Cornell University) · no summary yet**Jake Zhao, Kyunghyun Cho*2018 · 11 citations*
234. **[An Overview of Large Language Models for Statisticians ↗](https://arxiv.org/abs/2502.17814) arXiv:2502.17814 · no summary yet**Wenlong Ji et al.*2025 · 10 citations*
235. **[Protein Discovery with Discrete Walk-Jump Sampling ↗](https://arxiv.org/abs/2306.12360) arXiv (Cornell University) · no summary yet**Nathan C. Frey et al.*2023 · 10 citations*
236. **[Improving localization-based approaches for breast cancer screening exam classification ↗](https://arxiv.org/abs/1908.00615) arXiv (Cornell University) · no summary yet**Thibault Févry et al.*2019 · 10 citations*
237. **[Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples ↗](https://doi.org/10.1109/cvpr.2019.01183) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jake Zhao, Kyunghyun Cho*2019 · 10 citations*
238. **[Iterative Refinement of the Approximate Posterior for Directed Belief Networks ↗](https://arxiv.org/abs/1511.06382) arXiv (Cornell University) · no summary yet**R Devon Hjelm et al.*2015 · 10 citations*
239. **[On the Equivalence between Deep NADE and Generative Stochastic Networks ↗](https://doi.org/10.1007/978-3-662-44845-8_21) Lecture notes in computer science · no summary yet**Li Yao et al.*2014 · 10 citations*
240. **[Gaussian-Bernoulli restricted Boltzmann machines and automatic feature extraction for noise robust missing data mask estimation ↗](https://doi.org/10.1109/icassp.2013.6638964) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Sami Keronen et al.*2013 · 10 citations*
241. **[Walrus: A Cross-Domain Foundation Model for Continuum Dynamics ↗](https://arxiv.org/abs/2511.15684) arXiv (Cornell University) · no summary yet**McCabe, Michael et al.*2025 · 9 citations*
242. **[The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review ↗](https://doi.org/10.1080/01621459.2025.2510006) Journal of the American Statistical Association · no summary yet**Buxin Su et al.*2025 · 9 citations*
243. **[Characterization of tumour heterogeneity through segmentation-free representation learning on multiplexed imaging data ↗](https://doi.org/10.1038/s41551-025-01348-1) Nature Biomedical Engineering · no summary yet**Jimin Tan et al.*2025 · 9 citations*
244. **[Non-convolutional graph neural networks. ↗](https://doi.org/10.52202/079017-1028) neural information processing systems · no summary yet**Yuanqing Wang, Kyunghyun Cho*2024 · 9 citations*
245. **[Amortized Noisy Channel Neural Machine Translation ↗](https://aclanthology.org/2022.inlg-main.11/) Proceedings of the 15th International Conference on Natural Language Generation · no summary yet**Richard Yuanzhe Pang, He He, Kyunghyun Cho*2022 · 9 citations*
246. **[An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models ↗](https://arxiv.org/abs/2109.02772) arXiv (Cornell University) · no summary yet**Tianxing He, Kyunghyun Cho, James Glass*2021 · 9 citations*
247. **[Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation ↗](https://aclanthology.org/2020.spnlp-1.11/) Proceedings of the Fourth Workshop on Structured Prediction for NLP · no summary yet**Sébastien Jean, Kyunghyun Cho*2020 · 9 citations*
248. **[System-Level Natural Language Feedback ↗](https://aclanthology.org/2024.eacl-long.169/) Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Weizhe Yuan, Kyunghyun Cho, Jason Weston*2024 · 8 citations*
249. **[PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design ↗](https://arxiv.org/abs/2210.04096) arXiv (Cornell University) · no summary yet**Ji Won Park et al.*2022 · 8 citations*
250. **[A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences ↗](https://arxiv.org/abs/2210.10838) arXiv (Cornell University) · no summary yet**Nataša Tagasovska et al.*2022 · 8 citations*
251. **[Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement ↗](https://aclanthology.org/2021.wmt-1.119/) Proceedings of the Sixth Conference on Machine Translation · no summary yet**HyoJung Han et al.*2021 · 8 citations*
252. **[Causal BERT: Improving object detection by searching for challenging groups ↗](https://doi.org/10.1109/iccvw54120.2021.00332) IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · no summary yet**Cinjon Resnick et al.*2021 · 8 citations*
253. **[Compositionality and Capacity in Emergent Languages ↗](https://aclanthology.org/2020.repl4nlp-1.5/) Proceedings of the 5th Workshop on Representation Learning for NLP · no summary yet**Abhinav Gupta et al.*2020 · 8 citations*
254. **[Pommerman: A Multi-Agent Playground ↗](https://arxiv.org/abs/1809.07124) arXiv (Cornell University) · no summary yet**Cinjon Resnick et al.*2018 · 8 citations*
255. **[Attention-based mixture density recurrent networks for history-based recommendation ↗](https://doi.org/10.1145/3326937.3341254) arXiv:1709.07545 · no summary yet**Tian Wang, Kyunghyun Cho, Musen Wen*2017 · 8 citations*
256. **[A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation ↗](https://aclanthology.org/C16-1011/) Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers · no summary yet**Amrita Saha et al.*2016 · 8 citations*
257. **[Latent State Models of Training Dynamics ↗](https://arxiv.org/abs/2308.09543) arXiv (Cornell University) · no summary yet**Michael Y. Hu et al.*2023 · 7 citations*
258. **[Towards Disentangled Speech Representations ↗](https://doi.org/10.21437/interspeech.2022-30) Interspeech (USB) · no summary yet**Cal Peyser et al.*2022 · 7 citations*
259. **[Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings ↗](https://aclanthology.org/2020.eamt-1.22/) Proceedings of the 22nd Annual Conference of the European Association for Machine Translation · no summary yet**António Góis, Kyunghyun Cho, André Martins*2020 · 7 citations*
260. **[Evaluating pretrained transformer models for citation recommendation ↗](https://openalex.org/W3021901806) no summary yet**Rodrigo Frassetto Nogueira et al.*2020 · 7 citations*
261. **[Deep Unsupervised Drum Transcription ↗](https://doi.org/10.5281/zenodo.3527773) Zenodo (CERN European Organization for Nuclear Research) · no summary yet**Keunwoo Choi, Kyunghyun Cho*2019 · 7 citations*
262. **[Neural Unsupervised Parsing Beyond English ↗](https://aclanthology.org/D19-6123/) Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) · no summary yet**Katharina Kann et al.*2019 · 7 citations*
263. **[Boundary Seeking GANs ↗](https://openalex.org/W2787038193) International Conference on Learning Representations · no summary yet**R Devon Hjelm et al.*2018 · 7 citations*
264. **[From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17,042) ↗](https://doi.org/10.4230/dagrep.7.1.129) DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yet**Phil Blunsom et al.*2017 · 7 citations*
265. **[An iterative algorithm for singular value decomposition on noisy incomplete matrices ↗](https://doi.org/10.1109/ijcnn.2012.6252789) 2022 International Joint Conference on Neural Networks (IJCNN) · no summary yet**Kyunghyun Cho, Nima Reyhani*2012 · 7 citations*
266. **[Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation ↗](https://arxiv.org/abs/2505.13111) arXiv (Cornell University) · no summary yet**Sungmin Cha, Kyunghyun Cho*2025 · 6 citations*
267. **[MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control ↗](https://arxiv.org/abs/2407.02736) arXiv (Cornell University) · no summary yet**Yeonji Lee et al.*2024 · 6 citations*
268. **[Controllable All-Atom Protein Generation with Latent Diffusion ↗](https://doi.org/10.1101/2024.12.02.626353) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Amy X. Lu et al.*2024 · 6 citations*
269. **[Generative Multitask Learning Mitigates Target-Causing Confounding ↗](https://doi.org/10.52202/068431-2648) neural information processing systems · no summary yet**Taro Makino, Krzysztof Geras, Kyunghyun Cho*2022 · 6 citations*
270. **[Total Knee Replacement prediction using Structural MRIs and 3D Convolutional Neural Networks ↗](https://openalex.org/W2947124471) no summary yet**Tianyu Wang et al.*2019 · 6 citations*
271. **[Learning with Reflective Likelihoods ↗](https://openalex.org/W2909379646) no summary yet**Adji Bousso Dieng et al.*2018 · 6 citations*
272. **[Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning ↗](https://arxiv.org/abs/1810.00150) arXiv (Cornell University) · no summary yet**Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang*2018 · 6 citations*
273. **[Empirical performance upper bounds for image and video captioning ↗](https://arxiv.org/abs/1511.04590) arXiv (Cornell University) · no summary yet**Li Yao et al.*2015 · 6 citations*
274. **[Learned-norm pooling for deep neural networks. ↗](https://arxiv.org/abs/1311.1780) arXiv (Cornell University) · no summary yet**Çağlar Gülçehre et al.*2013 · 6 citations*
275. **[The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models ↗](https://aclanthology.org/2025.findings-naacl.100/) Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yet**Artem Kirsanov et al.*2025 · 5 citations*
276. **[Concept Bottleneck Language Models For protein design ↗](https://arxiv.org/abs/2411.06090) arXiv (Cornell University) · no summary yet**Aya Abdelsalam Ismail et al.*2024 · 5 citations*
277. **[Perspectives on the State and Future of Deep Learning - 2023 ↗](https://arxiv.org/abs/2312.09323) arXiv (Cornell University) · no summary yet**Micah Goldblum et al.*2023 · 5 citations*
278. **[Predicting Out-of-Domain Generalization with Neighborhood Invariance ↗](https://arxiv.org/abs/2207.02093) arXiv (Cornell University) · no summary yet**Ng, Nathan et al.*2022 · 5 citations*
279. **[Joint Embedding Predictive Architectures Focus on Slow Features ↗](https://arxiv.org/abs/2211.10831) arXiv (Cornell University) · no summary yet**Vlad Sobal et al.*2022 · 5 citations*
280. **[Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction ↗](https://arxiv.org/abs/2211.07047) arXiv (Cornell University) · no summary yet**Grace Yang et al.*2022 · 5 citations*
281. **[Causal Effect Variational Autoencoder with Uniform Treatment ↗](https://arxiv.org/abs/2111.08656) arXiv (Cornell University) · no summary yet**Daniel Jiwoong Im, Kyunghyun Cho, Narges Razavian*2021 · 5 citations*
282. **[Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening. ↗](https://www.ncbi.nlm.nih.gov/pmc/articles/8208631) PubMed · no summary yet**Nan Wu et al.*2020 · 5 citations*
283. **[Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning ↗](https://openalex.org/W2901909302) no summary yet**Yun Chen et al.*2018 · 5 citations*
284. **[Simple Nearest Neighbor Policy Method for Continuous Control Tasks ↗](https://openalex.org/W2786195469) no summary yet**Elman Mansimov, Kyunghyun Cho*2018 · 5 citations*
285. **[Towards Music Captioning: Generating Music Playlist Descriptions ↗](https://arxiv.org/abs/1608.04868) arXiv (Cornell University) · no summary yet**Keunwoo Choi et al.*2016 · 5 citations*
286. **[Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons ↗](https://doi.org/10.1007/978-3-642-42054-2_59) Lecture notes in computer science · no summary yet**Kyunghyun Cho*2013 · 5 citations*
287. **[Supervised Contrastive Block Disentanglement ↗](https://arxiv.org/abs/2502.07281) arXiv (Cornell University) · no summary yet**Taro Makino et al.*2025 · 4 citations*
288. **[MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI ↗](https://doi.org/10.1148/ryai.240373) Radiology Artificial Intelligence · no summary yet**Chaojie Zhang et al.*2025 · 4 citations*
289. **[Hyperparameters in Continual Learning: A Reality Check ↗](https://arxiv.org/abs/2403.09066) arXiv (Cornell University) · no summary yet**Sungmin Cha, Kyunghyun Cho*2024 · 4 citations*
290. **[Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks ↗](https://arxiv.org/abs/2410.22296) arXiv (Cornell University) · no summary yet**Angelica Chen et al.*2024 · 4 citations*
291. **[Cramming Protein Language Model Training in 24 GPU Hours ↗](https://doi.org/10.1101/2024.05.14.594108) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Nathan C. Frey et al.*2024 · 4 citations*
292. **[Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning ↗](https://doi.org/10.52202/079017-3685) neural information processing systems · no summary yet**Divyam Madaan et al.*2024 · 4 citations*
293. **[BOtied: Multi-objective Bayesian optimization with tied multivariate ranks ↗](https://arxiv.org/abs/2306.00344) arXiv (Cornell University) · no summary yet**Ji Won Park et al.*2023 · 4 citations*
294. **[Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section ↗](https://aclanthology.org/2023.acl-srw.18/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) · no summary yet**Hongyi Zheng et al.*2023 · 4 citations*
295. **[Multi-segment preserving sampling for deep manifold sampler ↗](https://arxiv.org/abs/2205.04259) arXiv (Cornell University) · no summary yet**Daniel Berenberg et al.*2022 · 4 citations*
296. **[Meta-Repository of Screening Mammography Classifiers ↗](https://doi.org/10.3233/shti251263) Studies in health technology and informatics · no summary yet**Jakub Chłędowski et al.*2021 · 4 citations*
297. **[Inducing Constituency Trees through Neural Machine Translation ↗](https://arxiv.org/abs/1909.10056) arXiv:1909.10056 · no summary yet**Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman*2019 · 4 citations*
298. **[The International Conference on Neural Information Processing - ICONIP 2013 ↗](https://openalex.org/W2592614353) no summary yet**Hannes Schulz et al.*2013 · 4 citations*
299. **[A Progressive risk formulation for enhanced deep learning based total knee replacement prediction in knee osteoarthritis ↗](https://doi.org/10.1007/s11760-025-04404-0) Signal Image and Video Processing · no summary yet**Haresh Rengaraj Rajamohan et al.*2025 · 3 citations*
300. **[HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja ↗](https://arxiv.org/abs/2501.11951) arXiv (Cornell University) · no summary yet**Song, Seyoung et al.*2025 · 3 citations*

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