---
title: "Kyunghyun Cho — all works, page 2 — 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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---
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# Kyunghyun Cho — all works

483 works · page 2 of 5 · 101–200 · [← Kyunghyun Cho](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/)

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101. **[Trainable Greedy Decoding for Neural Machine Translation ↗](https://aclanthology.org/D17-1210/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jiatao Gu, Kyunghyun Cho, Victor O.K. Li*2017 · 84 citations*
102. **[Neural machine translation with a polysynthetic low resource language ↗](https://doi.org/10.1007/s10590-020-09255-9) Machine Translation · no summary yet**John E. Ortega, Richard Alexander Castro Mamani, Kyunghyun Cho*2020 · 83 citations*
103. **[Parallel tempering is efficient for learning restricted Boltzmann machines ↗](https://doi.org/10.1109/ijcnn.2010.5596837) 2022 International Joint Conference on Neural Networks (IJCNN) · no summary yet**Kyunghyun Cho, Tapani Raiko, Alexander Ilin*2010 · 82 citations*
104. **[Consistency of a Recurrent Language Model With Respect to Incomplete Decoding ↗](https://aclanthology.org/2020.emnlp-main.448/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Sean Welleck et al.*2020 · 79 citations*
105. **[Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines ↗](https://openalex.org/W2200708944) no summary yet**Kyunghyun Cho, Tapani Raiko, Alexander Ihler*2011 · 78 citations*
106. **[Countering Language Drift via Visual Grounding ↗](https://aclanthology.org/D19-1447/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Jason Lee, Kyunghyun Cho, Douwe Kiela*2019 · 77 citations*
107. **[A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging ↗](https://doi.org/10.23919/eusipco.2018.8553106) European Signal Processing Conference (EUSIPCO) · no summary yet**Keunwoo Choi et al.*2018 · 77 citations*
108. **[AstroCLIP: a cross-modal foundation model for galaxies ↗](https://doi.org/10.1093/mnras/stae1450) Monthly Notices of the Royal Astronomical Society · no summary yet**Liam Parker et al.*2024 · 76 citations*
109. **[NaturalProofs: Mathematical Theorem Proving in Natural Language ↗](https://arxiv.org/abs/2104.01112) arXiv:2104.01112 · no summary yet**Sean Welleck et al.*2021 · 76 citations*
110. **[A Framework For Contrastive Self-Supervised Learning And Designing A New Approach ↗](https://arxiv.org/abs/2009.00104) arXiv (Cornell University) · no summary yet**William Falcon, Kyunghyun Cho*2020 · 76 citations*
111. **[Unsupervised deep learning ↗](https://doi.org/10.1016/b978-0-12-802806-3.00007-5) Elsevier eBooks · no summary yet**Juha Karhunen, Tapani Raiko, Kyunghyun Cho*2015 · 76 citations*
112. **[On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model ↗](https://aclanthology.org/2022.naacl-main.380/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Seongjin Shin et al.*2022 · 73 citations*
113. **[A Tutorial on Deep Learning for Music Information Retrieval ↗](https://arxiv.org/abs/1709.04396) arXiv (Cornell University) · no summary yet**Keunwoo Choi et al.*2017 · 73 citations*
114. **[Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks ↗](https://doi.org/10.5220/0004718301220130) International Conference on Computer Vision Theory and Applications · no summary yet**Kyunghyun Cho, Xi Chen*2014 · 73 citations*
115. **[RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning ↗](https://arxiv.org/abs/2504.20073) arXiv:2504.20073 · no summary yet**Zihan Wang et al.*2025 · 71 citations*
116. **[Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks ↗](https://doi.org/10.5220/0004718301220130) International Conference on Computer Vision Theory and Applications · no summary yet**Kyunghyun Cho, Xi Chen*2016 · 71 citations*
117. **[Rapidly Bootstrapping a Question Answering Dataset for COVID-19 ↗](https://arxiv.org/abs/2004.11339) arXiv (Cornell University) · no summary yet**Raphael Tang et al.*2020 · 70 citations*
118. **[Larger-Context Language Modelling with Recurrent Neural Network ↗](https://aclanthology.org/P16-1125/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tian Wang, Kyunghyun Cho*2016 · 70 citations*
119. **[Enhanced Gradient for Training Restricted Boltzmann Machines ↗](https://doi.org/10.1162/neco_a_00397) Neural Computation · no summary yet**Kyunghyun Cho, Tapani Raiko, Alexander Ilin*2012 · 70 citations*
120. **[Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models ↗](https://aclanthology.org/2021.eacl-main.95/) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yet**Tianxing He et al.*2021 · 69 citations*
121. **[Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model ↗](https://arxiv.org/abs/1605.03835) arXiv (Cornell University) · no summary yet**Kyunghyun Cho*2016 · 69 citations*
122. **[Generating Diverse Translations with Sentence Codes ↗](https://aclanthology.org/P19-1177/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Raphael Shu, Hideki Nakayama, Kyunghyun Cho*2019 · 67 citations*
123. **[Attention-based CNN for KL Grade Classification: Data from the Osteoarthritis Initiative ↗](https://doi.org/10.1109/isbi45749.2020.9098456) IEEE International Symposium on Biomedical Imaging (ISBI) · no summary yet**Bofei Zhang et al.*2020 · 66 citations*
124. **[Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset ↗](https://aclanthology.org/2020.sdp-1.5/) Proceedings of the First Workshop on Scholarly Document Processing · no summary yet**Edwin Zhang et al.*2020 · 66 citations*
125. **[A Two-stage Approach for Extending Event Detection to New Types via Neural Networks ↗](https://aclanthology.org/W16-1618/) Proceedings of the 1st Workshop on Representation Learning for NLP · no summary yet**Thien Huu Nguyen et al.*2016 · 63 citations*
126. **[Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set ↗](https://aclanthology.org/D19-1329/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Katharina Kann, Kyunghyun Cho, Samuel R. Bowman*2019 · 62 citations*
127. **[Emergent Translation in Multi-Agent Communication ↗](https://arxiv.org/abs/1710.06922) arXiv (Cornell University) · no summary yet**Jason Lee et al.*2017 · 62 citations*
128. **[Grammar Induction with Neural Language Models: An Unusual Replication ↗](https://aclanthology.org/D18-1544/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman*2018 · 61 citations*
129. **[Training Language Models with Language Feedback ↗](https://arxiv.org/abs/2204.14146) arXiv (Cornell University) · no summary yet**Jérémy Scheurer et al.*2022 · 58 citations*
130. **[The representational geometry of word meanings acquired by neural machine translation models ↗](https://doi.org/10.1007/s10590-017-9194-2) Machine Translation · no summary yet**Felix Hill et al.*2017 · 58 citations*
131. **[Embedding Word Similarity with Neural Machine Translation ↗](https://arxiv.org/abs/1412.6448) arXiv (Cornell University) · no summary yet**Felix Hill et al.*2014 · 58 citations*
132. **[Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes ↗](https://doi.org/10.1162/neco_a_01060) Neural Computation · no summary yet**Çağlar Gülçehre et al.*2018 · 56 citations*
133. **[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 ↗](https://doi.org/10.1016/j.neuroimage.2018.07.047) NeuroImage · no summary yet**Sergey Plis et al.*2018 · 55 citations*
134. **[Natural Language Understanding with Distributed Representation ↗](https://arxiv.org/abs/1511.07916) arXiv (Cornell University) · no summary yet**Kyunghyun Cho*2015 · 55 citations*
135. **[Larger-Context Language Modelling ↗](https://arxiv.org/abs/1511.03729) arXiv (Cornell University) · no summary yet**Tian Wang, Kyunghyun Cho*2015 · 55 citations*
136. **[Emergent Linguistic Phenomena in Multi-Agent Communication Games ↗](https://aclanthology.org/D19-1384/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Laura Harding Graesser, Kyunghyun Cho, Douwe Kiela*2019 · 54 citations*
137. **[Training a Ranking Function for Open-Domain Question Answering ↗](https://aclanthology.org/N18-4017/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop · no summary yet**Phu Mon Htut, Samuel R. Bowman, Kyunghyun Cho*2018 · 54 citations*
138. **[Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ↗](https://openalex.org/W2135184018) International Conference on Machine Learning · no summary yet**Kyunghyun Cho*2013 · 54 citations*
139. **[Search Engine Guided Non-Parametric Neural Machine Translation ↗](https://arxiv.org/abs/1705.07267) arXiv (Cornell University) · no summary yet**Jiatao Gu et al.*2017 · 53 citations*
140. **[Not All Neural Embeddings are Born Equal ↗](https://arxiv.org/abs/1410.0718) arXiv (Cornell University) · no summary yet**Felix Hill et al.*2014 · 53 citations*
141. **[A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models ↗](https://arxiv.org/abs/1905.12790) arXiv (Cornell University) · no summary yet**Elman Mansimov et al.*2019 · 52 citations*
142. **[Emergent Communication in a Multi-Modal, Multi-Step Referential Game ↗](https://arxiv.org/abs/1705.10369) arXiv (Cornell University) · no summary yet**Katrina Evtimova et al.*2017 · 52 citations*
143. **[Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs ↗](https://arxiv.org/abs/2309.07311) arXiv (Cornell University) · no summary yet**Angelica Chen et al.*2023 · 49 citations*
144. **[First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks ↗](https://arxiv.org/abs/1511.06425) arXiv (Cornell University) · no summary yet**Quan Gan et al.*2015 · 49 citations*
145. **[Improving Code Generation by Training with Natural Language Feedback ↗](https://arxiv.org/abs/2303.16749) arXiv:2303.16749 · no summary yet**Angelica Chen et al.*2023 · 47 citations*
146. **[Comparing Test Sets with Item Response Theory ↗](https://aclanthology.org/2021.acl-long.92/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Clara Vania et al.*2021 · 47 citations*
147. **[On the Blind Spots of Model-Based Evaluation Metrics for Text Generation ↗](https://aclanthology.org/2023.acl-long.674/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tianxing He et al.*2023 · 46 citations*
148. **[Prediction of total knee replacement using deep learning analysis of knee MRI ↗](https://doi.org/10.1038/s41598-023-33934-1) Scientific Reports · no summary yet**Haresh Rengaraj Rajamohan et al.*2023 · 46 citations*
149. **[The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging ↗](https://doi.org/10.1109/tetci.2017.2771298) IEEE Transactions on Emerging Topics in Computational Intelligence · no summary yet**Keunwoo Choi et al.*2017 · 46 citations*
150. **[VisualSem: a high-quality knowledge graph for vision and language ↗](https://aclanthology.org/2021.mrl-1.13/) Proceedings of the 1st Workshop on Multilingual Representation Learning · no summary yet**Houda Alberts et al.*2021 · 45 citations*
151. **[Finding Generalizable Evidence by Learning to Convince Q&A Models](https://md.research.elamur.ai/free/en/papers/perez-2019-finding-generalizable-evidence-learning-convince/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ethan Perez, Siddharth Karamcheti, Rob Fergus, et al.*2019 · 43 citations*
152. **[Code-Switched Named Entity Recognition with Embedding Attention ↗](https://aclanthology.org/W18-3221/) Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching · no summary yet**Changhan Wang, Kyunghyun Cho, Douwe Kiela*2018 · 43 citations*
153. **[Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism ↗](http://dblp.uni-trier.de/db/journals/corr/corr1502.html#YaoTCBPLC15) arXiv (Cornell University) · no summary yet**Yao Li et al.*2015 · 43 citations*
154. **[Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned ↗](https://arxiv.org/abs/2004.05125) arXiv (Cornell University) · no summary yet**Zhang, Edwin et al.*2020 · 41 citations*
155. **[Chemical-Reaction-Aware Molecule Representation Learning ↗](https://arxiv.org/abs/2109.09888) arXiv (Cornell University) · no summary yet**Hongwei Wang et al.*2021 · 40 citations*
156. **[The Break-Even Point on Optimization Trajectories of Deep Neural Networks ↗](https://arxiv.org/abs/2002.09572) arXiv (Cornell University) · no summary yet**Stanisław Jastrzȩbski et al.*2020 · 40 citations*
157. **[A Stable and Effective Learning Strategy for Trainable Greedy Decoding ↗](https://aclanthology.org/D18-1035/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yun Chen et al.*2018 · 40 citations*
158. [**First Result on Arabic Neural Machine Translation arXiv:1606.02680**Amjad Almahairi, Kyunghyun Cho, Nizar Habash, et al.*2016 · 40 citations*](https://md.research.elamur.ai/free/en/papers/almahairi-2016-first-result-arabic-neural-machine/)
159. **[ARGUS: Visualization of AI-Assisted Task Guidance in AR ↗](https://doi.org/10.1109/tvcg.2023.3327396) IEEE Transactions on Visualization and Computer Graphics · no summary yet**Sonia Castelo et al.*2023 · 38 citations*
160. **[Globally-Aware Multiple Instance Classifier for Breast Cancer Screening ↗](https://doi.org/10.1007/978-3-030-32692-0_3) Lecture notes in computer science · no summary yet**Yiqiu Shen et al.*2019 · 38 citations*
161. **[Jump to better conclusions: SCAN both left and right](https://md.research.elamur.ai/free/en/papers/bastings-2018-jump-better-conclusions-scan-both/) [EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/emnlp-workshop-blackboxnlp-analyzing-and-interpreting-neural-networks-for-nlp/)**Jasmijn Bastings, Marco Baroni, Jason Weston, et al.*2018 · 38 citations*
162. **[Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes ↗](https://arxiv.org/abs/1607.00036) arXiv (Cornell University) · no summary yet**Çağlar Gülçehre et al.*2016 · 37 citations*
163. **[Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning ↗](https://arxiv.org/abs/1406.7362) arXiv (Cornell University) · no summary yet**Kyunghyun Cho, Yoshua Bengio*2014 · 37 citations*
164. **[On the design space between molecular mechanics and machine learning force fields ↗](https://doi.org/10.1063/5.0237876) Applied Physics Reviews · no summary yet**Yuanqing Wang et al.*2025 · 36 citations*
165. **[Boltzmann Machines and Denoising Autoencoders for Image Denoising ↗](https://arxiv.org/abs/1301.3468) arXiv (Cornell University) · no summary yet**Kyunghyun Cho*2013 · 36 citations*
166. **[Protein Design with Guided Discrete Diffusion ↗](https://doi.org/10.52202/075280-0547) neural information processing systems · no summary yet**Nate Gruver et al.*2023 · 35 citations*
167. **[Measuring the usefulness of hidden units in Boltzmann machines with mutual information ↗](https://doi.org/10.1016/j.neunet.2014.09.004) Neural Networks · no summary yet**Mathias Berglund, Tapani Raiko, Kyunghyun Cho*2014 · 34 citations*
168. **[DEEP: DEnoising Entity Pre-training for Neural Machine Translation ↗](https://aclanthology.org/2022.acl-long.123/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Junjie Hu et al.*2022 · 33 citations*
169. **[Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data ↗](https://doi.org/10.1371/journal.pcbi.1008569) PLoS Computational Biology · no summary yet**Andreas Tjärnberg et al.*2021 · 33 citations*
170. **[Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments ↗](https://arxiv.org/abs/2311.09497) arXiv:2311.09497 · no summary yet**Alexander Goldberg et al.*2023 · 32 citations*
171. **[Linear Connectivity Reveals Generalization Strategies ↗](https://arxiv.org/abs/2205.12411) arXiv (Cornell University) · no summary yet**Jeevesh Juneja et al.*2022 · 32 citations*
172. **[Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation ↗](https://aclanthology.org/2020.emnlp-main.73/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Jason Lee, Raphael Shu, Kyunghyun Cho*2020 · 32 citations*
173. **[End-to-End Goal-Driven Web Navigation ↗](https://arxiv.org/abs/1602.02261) arXiv (Cornell University) · no summary yet**Rodrigo Frassetto Nogueira, Kyunghyun Cho*2016 · 32 citations*
174. **[Differences between human and machine perception in medical diagnosis ↗](https://doi.org/10.1038/s41598-022-10526-z) Scientific Reports · no summary yet**Taro Makino et al.*2020 · 31 citations*
175. **[Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks ↗](https://arxiv.org/abs/2202.05306) arXiv (Cornell University) · no summary yet**Nan Wu et al.*2022 · 29 citations*
176. **[A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation ↗](https://aclanthology.org/2020.aacl-main.36/) Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing · no summary yet**Moin Nadeem et al.*2020 · 29 citations*
177. **[Can Unconditional Language Models Recover Arbitrary Sentences? ↗](https://arxiv.org/abs/1907.04944) arXiv (Cornell University) · no summary yet**Nishant Subramani, Samuel R. Bowman, Kyunghyun Cho*2019 · 29 citations*
178. **[Neural Machine Translation ↗](https://openalex.org/W3089109144) no summary yet**Minh-Thang Luong, Kyunghyun Cho, Christopher D. Manning*2016 · 28 citations*
179. **[NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions ↗](https://arxiv.org/abs/2502.13124) arXiv:2502.13124 · no summary yet**Weizhe Yuan et al.*2025 · 26 citations*
180. **[Preference Learning Algorithms Do Not Learn Preference Rankings ↗](https://doi.org/10.52202/079017-3234) neural information processing systems · no summary yet**Angelica Chen et al.*2024 · 26 citations*
181. [**Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs arXiv:2305.14279 · Transactions on Machine Learning Research (2024)**Angelica Chen, Jason Phang, Alicia Parrish, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-two-failures-self-consistency-multi/)
182. **[AbDiffuser: full-atom generation of in-vitro functioning antibodies ↗](https://doi.org/10.52202/075280-1774) neural information processing systems · no summary yet**Karolis Martinkus et al.*2023 · 25 citations*
183. **[Context-Aware Learning for Neural Machine Translation ↗](https://arxiv.org/abs/1903.04715) arXiv (Cornell University) · no summary yet**Sébastien Jean, Kyunghyun Cho*2019 · 25 citations*
184. **[Neural Machine Translation for Cross-Lingual Pronoun Prediction ↗](https://aclanthology.org/W17-4806/) Proceedings of the Third Workshop on Discourse in Machine Translation · no summary yet**Sebastien Jean et al.*2017 · 24 citations*
185. **[A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines ↗](https://doi.org/10.1007/978-3-642-40728-4_14) Lecture notes in computer science · no summary yet**Kyunghyun Cho et al.*2013 · 24 citations*
186. **[Capacity, Bandwidth, and Compositionality in Emergent Language Learning ↗](https://doi.org/10.65109/pmny4515) Adaptive Agents and Multi-Agents Systems · no summary yet**Cinjon Resnick et al.*2020 · 23 citations*
187. **[Backplay: "Man muss immer umkehren" ↗](https://arxiv.org/abs/1807.06919) arXiv (Cornell University) · no summary yet**Cinjon Resnick et al.*2018 · 23 citations*
188. **[Iterative Neural Autoregressive Distribution Estimator (NADE-k) ↗](https://arxiv.org/abs/1406.1485) arXiv (Cornell University) · no summary yet**Tapani Raiko et al.*2014 · 23 citations*
189. **[Following Length Constraints in Instructions](https://md.research.elamur.ai/free/en/papers/yuan-2025-following-length-constraints-instructions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Weizhe Yuan, Ilia Kulikov, Ping Yu, et al.*2025 · 22 citations*
190. **[Multiple Physics Pretraining for Physical Surrogate Models ↗](https://arxiv.org/abs/2310.02994) arXiv (Cornell University) · no summary yet**McCabe, Michael et al.*2023 · 22 citations*
191. **[AlphaD3M: Machine Learning Pipeline Synthesis ↗](https://arxiv.org/abs/2111.02508) Open Repository and Bibliography (University of Luxembourg) · no summary yet**Iddo Drori et al.*2021 · 22 citations*
192. **[Rissanen Data Analysis: Examining Dataset Characteristics via Description Length ↗](https://arxiv.org/abs/2103.03872) arXiv (Cornell University) · no summary yet**Ethan Perez, Douwe Kiela, Kyunghyun Cho*2021 · 22 citations*
193. **[Saliency-based Sequential Image Attention with Multiset Prediction ↗](https://arxiv.org/abs/1711.05165) arXiv (Cornell University) · no summary yet**Sean Welleck et al.*2017 · 21 citations*
194. **[PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗](https://doi.org/10.1186/s13059-024-03226-6) Genome biology · no summary yet**Claudia Skok Gibbs et al.*2024 · 20 citations*
195. **[Navigation-based candidate expansion and pretrained language models for citation recommendation ↗](https://doi.org/10.1007/s11192-020-03718-9) Scientometrics · no summary yet**Rodrigo Frassetto Nogueira et al.*2020 · 20 citations*
196. **[A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks ↗](https://arxiv.org/abs/1907.02649) arXiv (Cornell University) · no summary yet**Owen Marschall, Kyunghyun Cho, Cristina Savin*2019 · 20 citations*
197. **[Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding ↗](https://aclanthology.org/D18-1023/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Lifu Huang et al.*2018 · 20 citations*
198. **[Two-layer contractive encodings for learning stable nonlinear features ↗](https://doi.org/10.1016/j.neunet.2014.09.008) Neural Networks · no summary yet**Hannes Schulz et al.*2014 · 20 citations*
199. **[xVal: A Continuous Numerical Tokenization for Scientific Language Models ↗](https://arxiv.org/abs/2310.02989) arXiv:2310.02989 · no summary yet**Siavash Golkar et al.*2023 · 19 citations*
200. **[Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models ↗](https://arxiv.org/abs/1910.07117) arXiv (Cornell University) · no summary yet**Tianxing He et al.*2019 · 19 citations*

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