Richard Socher — all works
- CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization ↗arXiv (Cornell University) · no summary yetAndre Esteva et al.2020 · 42 citations
- Revisiting Activation Regularization for Language RNNs ↗arXiv (Cornell University) · no summary yetStephen Merity, McCann, Bryan, Richard Socher2017 · 42 citations
- Identifying Generalization Properties in Neural Networks ↗arXiv (Cornell University) · no summary yetHuan Wang et al.2018 · 39 citations
- Taming MAML: Efficient unbiased meta-reinforcement learning ↗International Conference on Machine Learning · no summary yetHao Liu, Richard Socher, Caiming Xiong2019 · 36 citations
- COVID-19 Growth Rate Decreases with Social Capital ↗medRxiv · no summary yetLav R. Varshney, Richard Socher2020 · 34 citations
- A High-Quality Multilingual Dataset for Structured Documentation Translation ↗Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers) · no summary yetKazuma Hashimoto et al.2019 · 33 citations
- An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition ↗Interspeech (USB) · no summary yetWeiran Wang et al.2020 · 31 citations
- Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities ↗no summary yetRichard Socher, Andrew L. Maas, Christopher D. Manning2011 · 30 citations
- Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards ↗arXiv (Cornell University) · no summary yetAlexander Trott et al.2019 · 29 citations
- Theory-Inspired Path-Regularized Differential Network Architecture Search ↗arXiv (Cornell University) · no summary yetPan Zhou et al.2020 · 27 citations
- MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models ↗arXiv (Cornell University) · no summary yetLiu, Linqing et al.2019 · 27 citations
- Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetYifan Gao et al.2020 · 26 citations
- Proceedings of the 2013 NAACL HLT Student Research Workshop ↗North American Chapter of the Association for Computational Linguistics · no summary yetAnnie Priyadarshini Louis et al.2013 · 26 citations
- Improving out-of-distribution generalization via multi-task self-supervised pretraining ↗arXiv (Cornell University) · no summary yetIsabela Albuquerque et al.2020 · 25 citations
- Limits of Detecting Text Generated by Large-Scale Language Models ↗Information Theory and Applications Workshop (ITA) · no summary yetLav R. Varshney, Nitish Shirish Keskar, Richard Socher2020 · 25 citations
- Pretrained AI Models: Performativity, Mobility, and Change ↗arXiv (Cornell University) · no summary yetLav R. Varshney, Nitish Shirish Keskar, Richard Socher2019 · 25 citations
- MetaMind Neural Machine Translation System for WMT 2016 ↗Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers · no summary yetJames Bradbury, Richard Socher2016 · 24 citations
- Explore, discover and learn: unsupervised discovery of state-covering skills ↗UPCommons institutional repository (Universitat Politècnica de Catalunya) · no summary yetCampos Camúñez, Víctor et al.2020 · 21 citations
- A Bayesian Analysis of Dynamics in Free Recall ↗no summary yetRichard Socher et al.2009 · 21 citations
- Towards Neural Machine Translation with Latent Tree Attention ↗Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing · no summary yetJames Bradbury, Richard Socher2017 · 20 citations
- A learning based hierarchical model for vessel segmentation ↗IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) · no summary yetRichard Socher, Adrian Barbu, Dorin Comaniciu2008 · 19 citations
- ESPRIT: Explaining Solutions to Physical Reasoning Tasks ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetNazneen Fatema Rajani et al.2020 · 18 citations
- Towards Understanding Hierarchical Learning: Benefits of Neural Representations ↗arXiv (Cornell University) · no summary yetMinshuo Chen et al.2020 · 17 citations
- Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ↗arXiv (Cornell University) · no summary yetStanisław Jastrzȩbski et al.2020 · 16 citations
- The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning ↗SSRN Electronic Journal · no summary yetStephan Zheng et al.2021 · 14 citations
- Towards Noise-resistant Object Detection with Noisy Annotations ↗arXiv (Cornell University) · no summary yetJunnan Li et al.2020 · 14 citations
- On the Generalization Gap in Reparameterizable Reinforcement Learning ↗arXiv (Cornell University) · no summary yetHuan Wang et al.2019 · 14 citations
- Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression ↗arXiv (Cornell University) · no summary yetTong Niu, Caiming Xiong, Richard Socher2019 · 13 citations
- A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2016 · 13 citations
- Learning when to skim and when to read ↗Proceedings of the 2nd Workshop on Representation Learning for NLP · no summary yetAlexander Johansen, Richard Socher2017 · 12 citations
- A Flexible Approach to Automated RNN Architecture Generation ↗arXiv (Cornell University) · no summary yetMartin Schrimpf et al.2017 · 12 citations
- Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework ↗Proceedings of the 2nd Workshop on Natural Language Processing for Conversational AI · no summary yetMichael Shum et al.2020 · 11 citations
- Improved Regularization Techniques for End-to-End Speech Recognition ↗arXiv (Cornell University) · no summary yetYingbo Zhou, Caiming Xiong, Richard Socher2017 · 11 citations
- Converse: A Tree-Based Modular Task-Oriented Dialogue System ↗arXiv (Cornell University) · no summary yetTian Xie et al.2022 · 10 citations
- Learning World Graphs to Accelerate Hierarchical Reinforcement Learning ↗arXiv (Cornell University) · no summary yetWenling Shang et al.2019 · 10 citations
- Online Structured Meta-learning ↗arXiv (Cornell University) · no summary yetHuaxiu Yao et al.2020 · 9 citations
- Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width ↗arXiv (Cornell University) · no summary yetYu Bai et al.2020 · 8 citations
- Block-diagonal Hessian-free Optimization for Training Neural Networks ↗arXiv (Cornell University) · no summary yetHuishuai Zhang et al.2017 · 8 citations
- Deep Learning for Sentiment Analysis - Invited Talk ↗Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis · no summary yetSocher, Richard2016 · 8 citations
- Competitive Experience Replay ↗arXiv (Cornell University) · no summary yetHao Liu et al.2019 · 7 citations
- Using Mode Connectivity for Loss Landscape Analysis ↗arXiv (Cornell University) · no summary yetAkhilesh Deepak Gotmare et al.2018 · 7 citations
- RECURSIVE DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING AND COMPUTER VISION ↗no summary yetRichard Socher2014 · 7 citations
- Evaluating State-of-the-Art Classification Models Against Bayes Optimality ↗arXiv (Cornell University) · no summary yetRyan Theisen et al.2021 · 6 citations
- DIME: An Information-Theoretic Difficulty Measure for AI Datasets ↗no summary yetPeiliang Zhang et al.2019 · 6 citations
- Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act TaggingConference on Empirical Methods in Natural Language Processing (EMNLP)Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, et al.2020 · 5 citations
- The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetNitish Shirish Keskar et al.2020 · 4 citations
- Predicting with High Correlation Features ↗arXiv (Cornell University) · no summary yetDevansh Arpit, Caiming Xiong, Richard Socher2019 · 3 citations
- Stanford’s System for Parsing the English Web ↗no summary yetDavid McClosky et al.2012 · 3 citations
- Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages ↗arXiv (Cornell University) · no summary yetChristopher Liu et al.2020 · 2 citations
- Global Capacity Measures for Deep ReLU Networks via Path Sampling ↗arXiv (Cornell University) · no summary yetRyan Theisen et al.2019 · 2 citations
- Deep Learning for NLP (without Magic) References ↗no summary yetRichard Socher, Yoshua Bengio, Christopher D. Manning2012 · 2 citations
- Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning ↗arXiv (Cornell University) · no summary yetDevansh Arpit et al.2020 · 1 citation
- Explaining Creative Artifacts ↗arXiv (Cornell University) · no summary yetLav R. Varshney, Nazneen Fatema Rajani, Richard Socher2020 · 1 citation
- MP28-01 ARTIFICIAL INTELLIGENCE (AI) ACCURATELY AUTOMATE AND SPEED IMMUNOFLUORESCENCE (IF)-BASED DISCOVERY AND VALIDATION OF NOVEL PROGNOSTIC AND PREDICTIVE BIOMARKERS IN PROSTATE CANCER ↗The Journal of Urology · no summary yetHao Gia Nguyen et al.2019 · 1 citation
- Contextual Salience for Fast and Accurate Sentence Vectors ↗arXiv (Cornell University) · no summary yetEric Zelikman, Richard Socher2018 · 1 citation
- Towards the ImageNet-CNN of NLP: Pretraining Sentence Encoders with Machine Translation ↗neural information processing systems · no summary yetBryan McCann et al.2017 · 1 citation
- Combining Contexts in Lexicon Learning for Semantic Parsing ↗Proceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA 2007) · no summary yetRichard Socher, Chris Biemann, Rainer Osswald2007 · 1 citation
- Reference-Free Rating of LLM Responses via Latent Information ↗arXiv (Cornell University) · no summary yetLeander Girrbach et al.2025
- Assessing Local Generalization Capability in Deep Models. ↗International Conference on Artificial Intelligence and Statistics · no summary yetHuan Wang et al.2020
- Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization ↗no summary yetHao Liu, Richard Socher, Caiming Xiong2019
- Learning World Graph Decompositions To Accelerate Reinforcement Learning ↗no summary yetWenling Shang et al.2019
- Continual Learning via Explicit Structure Learning ↗no summary yetXilai Li et al.2018
- Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing ↗Greater South Information System · no summary yetEmma Strubell et al.2017
- A N F O ↗no summary yetWill Y. Zou et al.2015
- Six Reasons to Explore Deep Learning ↗no summary yetRichard Socher et al.2014
- Learning new facts from knowledge bases with neural tensor networks and semantic word vectors, CoRR abs/1301.3618 ↗no summary yetDanqi Chen et al.2013
- ACL 2012 Tutorial References ↗no summary yetRichard Socher et al.2012
- C.D.: Parsing natural scenes and natural language with recursive neural networks ↗no summary yetChristoper D. Manning et al.2011
- A Gibbs Sampler for Spatial Clustering with the Distance-dependent Chinese Restaurant Process ↗no summary yetRichard Socher, Christopher D. Manning2011
- Automatic Extension of Semantic Lexicons with a Bootstrapping Algorithm: Using Corpora to Learn Semantic Features ↗no summary yetRichard Socher2008
- Manifold Learning and Dimensionality Reduction with Diffusion Maps ↗no summary yetRichard Socher2008
- ”Automatic Extension of Feature-based Semantic Lexicons via Bootstrapping Algorithms” ↗no summary yetRichard Socher et al.2007
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