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title: "Richard Socher — all works, page 2 — Elamur Research"
description: "All 172 works of Richard Socher in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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# Richard Socher — all works

172 works · page 2 of 2 · 101–172 · [← Richard Socher](https://md.research.elamur.ai/free/en/authors/richard-socher/)

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101. **[CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization ↗](https://arxiv.org/abs/2006.09595) arXiv (Cornell University) · no summary yet**Andre Esteva et al.*2020 · 42 citations*
102. **[Revisiting Activation Regularization for Language RNNs ↗](https://arxiv.org/abs/1708.01009) arXiv (Cornell University) · no summary yet**Stephen Merity, McCann, Bryan, Richard Socher*2017 · 42 citations*
103. **[Identifying Generalization Properties in Neural Networks ↗](https://arxiv.org/abs/1809.07402) arXiv (Cornell University) · no summary yet**Huan Wang et al.*2018 · 39 citations*
104. **[Taming MAML: Efficient unbiased meta-reinforcement learning ↗](https://openalex.org/W2954737642) International Conference on Machine Learning · no summary yet**Hao Liu, Richard Socher, Caiming Xiong*2019 · 36 citations*
105. **[COVID-19 Growth Rate Decreases with Social Capital ↗](https://doi.org/10.1101/2020.04.23.20077321) medRxiv · no summary yet**Lav R. Varshney, Richard Socher*2020 · 34 citations*
106. **[A High-Quality Multilingual Dataset for Structured Documentation Translation ↗](https://aclanthology.org/W19-5212/) Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers) · no summary yet**Kazuma Hashimoto et al.*2019 · 33 citations*
107. **[An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-1873) Interspeech (USB) · no summary yet**Weiran Wang et al.*2020 · 31 citations*
108. **[Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities ↗](https://openalex.org/W2142590786) no summary yet**Richard Socher, Andrew L. Maas, Christopher D. Manning*2011 · 30 citations*
109. **[Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards ↗](https://arxiv.org/abs/1911.01417) arXiv (Cornell University) · no summary yet**Alexander Trott et al.*2019 · 29 citations*
110. **[Theory-Inspired Path-Regularized Differential Network Architecture Search ↗](https://arxiv.org/abs/2006.16537) arXiv (Cornell University) · no summary yet**Pan Zhou et al.*2020 · 27 citations*
111. **[MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models ↗](https://arxiv.org/abs/1911.03588) arXiv (Cornell University) · no summary yet**Liu, Linqing et al.*2019 · 27 citations*
112. **[Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading ↗](https://aclanthology.org/2020.acl-main.88/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yifan Gao et al.*2020 · 26 citations*
113. **[Proceedings of the 2013 NAACL HLT Student Research Workshop ↗](https://openalex.org/W2886869616) North American Chapter of the Association for Computational Linguistics · no summary yet**Annie Priyadarshini Louis et al.*2013 · 26 citations*
114. **[Improving out-of-distribution generalization via multi-task self-supervised pretraining ↗](https://arxiv.org/abs/2003.13525) arXiv (Cornell University) · no summary yet**Isabela Albuquerque et al.*2020 · 25 citations*
115. **[Limits of Detecting Text Generated by Large-Scale Language Models ↗](https://doi.org/10.1109/ita50056.2020.9245012) Information Theory and Applications Workshop (ITA) · no summary yet**Lav R. Varshney, Nitish Shirish Keskar, Richard Socher*2020 · 25 citations*
116. **[Pretrained AI Models: Performativity, Mobility, and Change ↗](https://arxiv.org/abs/1909.03290) arXiv (Cornell University) · no summary yet**Lav R. Varshney, Nitish Shirish Keskar, Richard Socher*2019 · 25 citations*
117. **[MetaMind Neural Machine Translation System for WMT 2016 ↗](https://aclanthology.org/W16-2308/) Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers · no summary yet**James Bradbury, Richard Socher*2016 · 24 citations*
118. **[Explore, discover and learn: unsupervised discovery of state-covering skills ↗](https://arxiv.org/abs/2002.03647) UPCommons institutional repository (Universitat Politècnica de Catalunya) · no summary yet**Campos Camúñez, Víctor et al.*2020 · 21 citations*
119. **[A Bayesian Analysis of Dynamics in Free Recall ↗](https://openalex.org/W2114352343) no summary yet**Richard Socher et al.*2009 · 21 citations*
120. **[Towards Neural Machine Translation with Latent Tree Attention ↗](https://aclanthology.org/W17-4303/) Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing · no summary yet**James Bradbury, Richard Socher*2017 · 20 citations*
121. **[A learning based hierarchical model for vessel segmentation ↗](https://doi.org/10.1109/isbi.2008.4541181) IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) · no summary yet**Richard Socher, Adrian Barbu, Dorin Comaniciu*2008 · 19 citations*
122. **[ESPRIT: Explaining Solutions to Physical Reasoning Tasks ↗](https://aclanthology.org/2020.acl-main.706/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Nazneen Fatema Rajani et al.*2020 · 18 citations*
123. **[Towards Understanding Hierarchical Learning: Benefits of Neural Representations ↗](https://arxiv.org/abs/2006.13436) arXiv (Cornell University) · no summary yet**Minshuo Chen et al.*2020 · 17 citations*
124. **[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*
125. **[The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning ↗](https://doi.org/10.2139/ssrn.3900018) SSRN Electronic Journal · no summary yet**Stephan Zheng et al.*2021 · 14 citations*
126. **[Towards Noise-resistant Object Detection with Noisy Annotations ↗](https://arxiv.org/abs/2003.01285) arXiv (Cornell University) · no summary yet**Junnan Li et al.*2020 · 14 citations*
127. **[On the Generalization Gap in Reparameterizable Reinforcement Learning ↗](https://arxiv.org/abs/1905.12654) arXiv (Cornell University) · no summary yet**Huan Wang et al.*2019 · 14 citations*
128. **[Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression ↗](https://arxiv.org/abs/1909.03223) arXiv (Cornell University) · no summary yet**Tong Niu, Caiming Xiong, Richard Socher*2019 · 13 citations*
129. **[A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs ↗](https://arxiv.org/abs/1611.05104) arXiv (Cornell University) · no summary yet**Shayne Longpre et al.*2016 · 13 citations*
130. **[Learning when to skim and when to read ↗](https://aclanthology.org/W17-2631/) Proceedings of the 2nd Workshop on Representation Learning for NLP · no summary yet**Alexander Johansen, Richard Socher*2017 · 12 citations*
131. **[A Flexible Approach to Automated RNN Architecture Generation ↗](https://arxiv.org/abs/1712.07316) arXiv (Cornell University) · no summary yet**Martin Schrimpf et al.*2017 · 12 citations*
132. **[Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework ↗](https://aclanthology.org/2020.nlp4convai-1.14/) Proceedings of the 2nd Workshop on Natural Language Processing for Conversational AI · no summary yet**Michael Shum et al.*2020 · 11 citations*
133. **[Improved Regularization Techniques for End-to-End Speech Recognition ↗](https://arxiv.org/abs/1712.07108) arXiv (Cornell University) · no summary yet**Yingbo Zhou, Caiming Xiong, Richard Socher*2017 · 11 citations*
134. **[Converse: A Tree-Based Modular Task-Oriented Dialogue System ↗](https://arxiv.org/abs/2203.12187) arXiv (Cornell University) · no summary yet**Tian Xie et al.*2022 · 10 citations*
135. **[Learning World Graphs to Accelerate Hierarchical Reinforcement Learning ↗](https://arxiv.org/abs/1907.00664) arXiv (Cornell University) · no summary yet**Wenling Shang et al.*2019 · 10 citations*
136. **[Online Structured Meta-learning ↗](https://arxiv.org/abs/2010.11545) arXiv (Cornell University) · no summary yet**Huaxiu Yao et al.*2020 · 9 citations*
137. **[Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width ↗](https://arxiv.org/abs/2002.04010) arXiv (Cornell University) · no summary yet**Yu Bai et al.*2020 · 8 citations*
138. **[Block-diagonal Hessian-free Optimization for Training Neural Networks ↗](https://arxiv.org/abs/1712.07296) arXiv (Cornell University) · no summary yet**Huishuai Zhang et al.*2017 · 8 citations*
139. **[Deep Learning for Sentiment Analysis - Invited Talk ↗](https://aclanthology.org/W16-0408/) Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis · no summary yet**Socher, Richard*2016 · 8 citations*
140. **[Competitive Experience Replay ↗](https://arxiv.org/abs/1902.00528) arXiv (Cornell University) · no summary yet**Hao Liu et al.*2019 · 7 citations*
141. **[Using Mode Connectivity for Loss Landscape Analysis ↗](https://arxiv.org/abs/1806.06977) arXiv (Cornell University) · no summary yet**Akhilesh Deepak Gotmare et al.*2018 · 7 citations*
142. **[RECURSIVE DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING AND COMPUTER VISION ↗](https://openalex.org/W7096254877) no summary yet**Richard Socher*2014 · 7 citations*
143. **[Evaluating State-of-the-Art Classification Models Against Bayes Optimality ↗](https://arxiv.org/abs/2106.03357) arXiv (Cornell University) · no summary yet**Ryan Theisen et al.*2021 · 6 citations*
144. **[DIME: An Information-Theoretic Difficulty Measure for AI Datasets ↗](https://openalex.org/W2995491557) no summary yet**Peiliang Zhang et al.*2019 · 6 citations*
145. **[Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging](https://md.research.elamur.ai/free/en/papers/yavuz-2020-simple-data-augmentation-mask-token/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, et al.*2020 · 5 citations*
146. **[The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs ↗](https://aclanthology.org/2020.emnlp-main.501/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Nitish Shirish Keskar et al.*2020 · 4 citations*
147. **[Predicting with High Correlation Features ↗](https://arxiv.org/abs/1910.00164) arXiv (Cornell University) · no summary yet**Devansh Arpit, Caiming Xiong, Richard Socher*2019 · 3 citations*
148. **[Stanford’s System for Parsing the English Web ↗](https://openalex.org/W7097613184) no summary yet**David McClosky et al.*2012 · 3 citations*
149. **[Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages ↗](https://arxiv.org/abs/2009.04087) arXiv (Cornell University) · no summary yet**Christopher Liu et al.*2020 · 2 citations*
150. **[Global Capacity Measures for Deep ReLU Networks via Path Sampling ↗](https://arxiv.org/abs/1910.10245) arXiv (Cornell University) · no summary yet**Ryan Theisen et al.*2019 · 2 citations*
151. **[Deep Learning for NLP (without Magic) References ↗](https://openalex.org/W2550500344) no summary yet**Richard Socher, Yoshua Bengio, Christopher D. Manning*2012 · 2 citations*
152. **[Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning ↗](https://arxiv.org/abs/2002.09046) arXiv (Cornell University) · no summary yet**Devansh Arpit et al.*2020 · 1 citation*
153. **[Explaining Creative Artifacts ↗](https://arxiv.org/abs/2010.07126) arXiv (Cornell University) · no summary yet**Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher*2020 · 1 citation*
154. **[MP28-01 ARTIFICIAL INTELLIGENCE (AI) ACCURATELY AUTOMATE AND SPEED IMMUNOFLUORESCENCE (IF)-BASED DISCOVERY AND VALIDATION OF NOVEL PROGNOSTIC AND PREDICTIVE BIOMARKERS IN PROSTATE CANCER ↗](https://doi.org/10.1097/01.ju.0000555706.15264.bf) The Journal of Urology · no summary yet**Hao Gia Nguyen et al.*2019 · 1 citation*
155. **[Contextual Salience for Fast and Accurate Sentence Vectors ↗](https://arxiv.org/abs/1803.08493) arXiv (Cornell University) · no summary yet**Eric Zelikman, Richard Socher*2018 · 1 citation*
156. **[Towards the ImageNet-CNN of NLP: Pretraining Sentence Encoders with Machine Translation ↗](https://openalex.org/W2753086417) neural information processing systems · no summary yet**Bryan McCann et al.*2017 · 1 citation*
157. **[Combining Contexts in Lexicon Learning for Semantic Parsing ↗](https://aclanthology.org/W07-2425/) Proceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA 2007) · no summary yet**Richard Socher, Chris Biemann, Rainer Osswald*2007 · 1 citation*
158. **[Reference-Free Rating of LLM Responses via Latent Information ↗](https://arxiv.org/abs/2509.24678) arXiv (Cornell University) · no summary yet**Leander Girrbach et al.*2025*
159. **[Assessing Local Generalization Capability in Deep Models. ↗](https://openalex.org/W3037282722) International Conference on Artificial Intelligence and Statistics · no summary yet**Huan Wang et al.*2020*
160. **[Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization ↗](https://openalex.org/W2996123869) no summary yet**Hao Liu, Richard Socher, Caiming Xiong*2019*
161. **[Learning World Graph Decompositions To Accelerate Reinforcement Learning ↗](https://openalex.org/W3005968077) no summary yet**Wenling Shang et al.*2019*
162. **[Continual Learning via Explicit Structure Learning ↗](https://openalex.org/W2907916442) no summary yet**Xilai Li et al.*2018*
163. **[Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing ↗](https://doi.org/10.60692/91c9x-hhq33) Greater South Information System · no summary yet**Emma Strubell et al.*2017*
164. **[A N F O ↗](https://openalex.org/W7096263238) no summary yet**Will Y. Zou et al.*2015*
165. **[Six Reasons to Explore Deep Learning ↗](https://openalex.org/W7100144099) no summary yet**Richard Socher et al.*2014*
166. **[Learning new facts from knowledge bases with neural tensor networks and semantic word vectors, CoRR abs/1301.3618 ↗](https://openalex.org/W7095460700) no summary yet**Danqi Chen et al.*2013*
167. **[ACL 2012 Tutorial References ↗](https://openalex.org/W7097694857) no summary yet**Richard Socher et al.*2012*
168. **[C.D.: Parsing natural scenes and natural language with recursive neural networks ↗](https://openalex.org/W7100767117) no summary yet**Christoper D. Manning et al.*2011*
169. **[A Gibbs Sampler for Spatial Clustering with the Distance-dependent Chinese Restaurant Process ↗](https://openalex.org/W7098606247) no summary yet**Richard Socher, Christopher D. Manning*2011*
170. **[Automatic Extension of Semantic Lexicons with a Bootstrapping Algorithm: Using Corpora to Learn Semantic Features ↗](https://openalex.org/W2255729922) no summary yet**Richard Socher*2008*
171. **[Manifold Learning and Dimensionality Reduction with Diffusion Maps ↗](https://openalex.org/W7099435868) no summary yet**Richard Socher*2008*
172. **[”Automatic Extension of Feature-based Semantic Lexicons via Bootstrapping Algorithms” ↗](https://openalex.org/W7098382706) no summary yet**Richard Socher et al.*2007*

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