Richard Socher
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Computer scientist, Stanford University
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Computer Science
Richard Socher's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
- Bachelors Computer Science Stanford University
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(Suggest an Edit or Addition)Richard Socher's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- ImageNet: A large-scale hierarchical image database (2009) (42691)
- GloVe: Global Vectors for Word Representation (2014) (26322)
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013) (6224)
- Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks (2015) (2796)
- Reasoning With Neural Tensor Networks for Knowledge Base Completion (2013) (1759)
- Parsing Natural Scenes and Natural Language with Recursive Neural Networks (2011) (1396)
- Semantic Compositionality through Recursive Matrix-Vector Spaces (2012) (1339)
- Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions (2011) (1308)
- Zero-Shot Learning Through Cross-Modal Transfer (2013) (1301)
- Pointer Sentinel Mixture Models (2016) (1299)
- A Deep Reinforced Model for Abstractive Summarization (2017) (1249)
- Improving Word Representations via Global Context and Multiple Word Prototypes (2012) (1243)
- Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning (2016) (1166)
- Ask Me Anything: Dynamic Memory Networks for Natural Language Processing (2015) (1104)
- Regularizing and Optimizing LSTM Language Models (2017) (974)
- Parsing with Compositional Vector Grammars (2013) (945)
- Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection (2011) (932)
- Better Word Representations with Recursive Neural Networks for Morphology (2013) (842)
- Grounded Compositional Semantics for Finding and Describing Images with Sentences (2014) (833)
- Learned in Translation: Contextualized Word Vectors (2017) (812)
- Dynamic Memory Networks for Visual and Textual Question Answering (2016) (712)
- Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning (2018) (704)
- CTRL: A Conditional Transformer Language Model for Controllable Generation (2019) (701)
- Dynamic Coattention Networks For Question Answering (2016) (659)
- Convolutional-Recursive Deep Learning for 3D Object Classification (2012) (629)
- Bilingual Word Embeddings for Phrase-Based Machine Translation (2013) (563)
- Towards total scene understanding: Classification, annotation and segmentation in an automatic framework (2009) (545)
- The Natural Language Decathlon: Multitask Learning as Question Answering (2018) (515)
- A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks (2016) (507)
- Prototypical Contrastive Learning of Unsupervised Representations (2020) (494)
- DivideMix: Learning with Noisy Labels as Semi-supervised Learning (2020) (476)
- Non-Autoregressive Neural Machine Translation (2017) (430)
- Improving Generalization Performance by Switching from Adam to SGD (2017) (379)
- End-to-End Dense Video Captioning with Masked Transformer (2018) (373)
- Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling (2016) (356)
- Quasi-Recurrent Neural Networks (2016) (346)
- Evaluating the Factual Consistency of Abstractive Text Summarization (2019) (344)
- A Neural Network for Factoid Question Answering over Paragraphs (2014) (343)
- Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks (2010) (325)
- ERASER: A Benchmark to Evaluate Rationalized NLP Models (2019) (325)
- Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems (2019) (313)
- A Simple Language Model for Task-Oriented Dialogue (2020) (300)
- Explain Yourself! Leveraging Language Models for Commonsense Reasoning (2019) (297)
- Deep learning-enabled medical computer vision (2021) (284)
- Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora (2010) (237)
- Neural Text Summarization: A Critical Evaluation (2019) (235)
- Multi-Hop Knowledge Graph Reasoning with Reward Shaping (2018) (233)
- Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting (2019) (229)
- SummEval: Re-evaluating Summarization Evaluation (2020) (211)
- Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering (2019) (210)
- TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue (2020) (199)
- Self-Monitoring Navigation Agent via Auxiliary Progress Estimation (2019) (188)
- Global-Locally Self-Attentive Encoder for Dialogue State Tracking (2018) (172)
- GeDi: Generative Discriminator Guided Sequence Generation (2020) (170)
- ProGen: Language Modeling for Protein Generation (2020) (166)
- An Analysis of Neural Language Modeling at Multiple Scales (2018) (166)
- Deep Learning for NLP (without Magic) (2012) (158)
- A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation (2018) (156)
- BERTology Meets Biology: Interpreting Attention in Protein Language Models (2020) (153)
- Efficient and Robust Question Answering from Minimal Context over Documents (2018) (148)
- Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking (2019) (132)
- Global-to-local Memory Pointer Networks for Task-Oriented Dialogue (2019) (125)
- AdaFrame: Adaptive Frame Selection for Fast Video Recognition (2018) (125)
- GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing (2020) (124)
- CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases (2019) (113)
- Weighted Transformer Network for Machine Translation (2017) (110)
- Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning (2017) (110)
- Improving Abstraction in Text Summarization (2018) (104)
- Dye-sensitized solar cells under ambient light powering machine learning: towards autonomous smart sensors for the internet of things† (2020) (104)
- Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains (2020) (99)
- DCN+: Mixed Objective and Deep Residual Coattention for Question Answering (2017) (97)
- SParC: Cross-Domain Semantic Parsing in Context (2019) (96)
- DART: Open-Domain Structured Data Record to Text Generation (2020) (96)
- Aspect Specific Sentiment Analysis Using Hierarchical Deep Learning (2014) (94)
- Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions (2019) (94)
- Scaling short-answer grading by combining peer assessment with algorithmic scoring (2014) (93)
- Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing (2020) (90)
- The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies (2020) (90)
- Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills (2020) (80)
- Recursive deep learning for natural language processing and computer vision (2014) (76)
- It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations (2020) (70)
- XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering (2019) (65)
- Taming MAML: Efficient unbiased meta-reinforcement learning (2019) (64)
- Learning From Noisy Anchors for One-Stage Object Detection (2019) (63)
- Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors (2013) (61)
- BERT is Not an Interlingua and the Bias of Tokenization (2019) (60)
- Tree-structured Attention with Hierarchical Accumulation (2020) (55)
- Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering (2019) (55)
- Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start (2020) (55)
- Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference (2020) (54)
- Genie: a generator of natural language semantic parsers for virtual assistant commands (2019) (52)
- CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization (2020) (52)
- A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation (2018) (49)
- Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards (2019) (49)
- Interpretable Counting for Visual Question Answering (2017) (49)
- Global Belief Recursive Neural Networks (2014) (46)
- WSLLN:Weakly Supervised Natural Language Localization Networks (2019) (44)
- Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation (2018) (44)
- COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization (2021) (43)
- Identifying Generalization Properties in Neural Networks (2018) (42)
- Deep neural language modeling enables functional protein generation across families (2021) (42)
- Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities (2011) (40)
- Improving End-to-End Speech Recognition with Policy Learning (2017) (40)
- Theory-Inspired Path-Regularized Differential Network Architecture Search (2020) (39)
- Non-Autoregressive Dialog State Tracking (2020) (39)
- Revisiting Activation Regularization for Language RNNs (2017) (37)
- Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization (2020) (36)
- Photon: A Robust Cross-Domain Text-to-SQL System (2020) (36)
- Competitive Experience Replay (2019) (36)
- StartNet: Online Detection of Action Start in Untrimmed Videos (2019) (32)
- A Bayesian Analysis of Dynamics in Free Recall (2009) (31)
- An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition (2020) (30)
- Large language models generate functional protein sequences across diverse families. (2023) (28)
- Cs224n Natural Language Processing With Deep Learning (2017) (26)
- Unifying Question Answering, Text Classification, and Regression via Span Extraction (2019) (26)
- COVID-19 Growth Rate Decreases with Social Capital (2020) (25)
- Towards Understanding Hierarchical Learning: Benefits of Neural Representations (2020) (25)
- Composed Variational Natural Language Generation for Few-shot Intents (2020) (23)
- Improving out-of-distribution generalization via multi-task self-supervised pretraining (2020) (23)
- Online Structured Meta-learning (2020) (22)
- A learning based hierarchical model for vessel segmentation (2008) (22)
- On the Generalization Gap in Reparameterizable Reinforcement Learning (2019) (21)
- Learning World Graphs to Accelerate Hierarchical Reinforcement Learning (2019) (19)
- MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models (2019) (19)
- Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models (2019) (18)
- The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning (2022) (18)
- MetaMind Neural Machine Translation System for WMT 2016 (2016) (18)
- Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width (2020) (18)
- Towards Noise-resistant Object Detection with Noisy Annotations (2020) (17)
- Explaining and Improving Model Behavior with k Nearest Neighbor Representations (2020) (17)
- Unifying Question Answering and Text Classification via Span Extraction (2019) (17)
- Using Mode Connectivity for Loss Landscape Analysis (2018) (16)
- WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos (2020) (15)
- Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading (2020) (15)
- A Flexible Approach to Automated RNN Architecture Generation (2017) (15)
- Improved Regularization Techniques for End-to-End Speech Recognition (2017) (15)
- The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning (2021) (15)
- Towards Neural Machine Translation with Latent Tree Attention (2017) (14)
- Block-diagonal Hessian-free Optimization for Training Neural Networks (2017) (14)
- Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials (2022) (13)
- Pretrained AI Models: Performativity, Mobility, and Change (2019) (13)
- ESPRIT: Explaining Solutions to Physical Reasoning Tasks (2020) (13)
- Augmented Cyclic Adversarial Learning for Domain Adaptation (2018) (12)
- A High-Quality Multilingual Dataset for Structured Documentation Translation (2020) (11)
- Manifold Learning and Dimensionality Reduction with Diffusion Maps (2008) (11)
- Correction Networks: Meta-Learning for Zero-Shot Learning (2018) (10)
- A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs (2016) (10)
- CS 224D: Deep Learning for NLP (2015) (10)
- Learning when to skim and when to read (2017) (10)
- Limits of Detecting Text Generated by Large-Scale Language Models (2020) (8)
- Biological data annotation via a human-augmenting AI-based labeling system (2021) (8)
- SEQ2SQL: GENERATING STRUCTURED QUERIES (2017) (7)
- Predicting with High Correlation Features (2019) (7)
- DIME: An Information-Theoretic Difficulty Measure for AI Datasets (2019) (6)
- Interactive Visualizations for Deep Learning (2014) (5)
- Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework (2019) (5)
- Optimal Feature Extraction based Machine Learning Approach for Sarcasm Type Detection in News Headlines (2020) (4)
- Artificial intelligence for streamlined immunofluorescence-based biomarker discovery in prostate cancer. (2020) (4)
- Global Capacity Measures for Deep ReLU Networks via Path Sampling (2019) (4)
- Stanford ’ s System for Parsing the English Web (2012) (4)
- Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression (2019) (4)
- Evaluating State-of-the-Art Classification Models Against Bayes Optimality (2021) (3)
- Towards the ImageNet-CNN of NLP: Pretraining Sentence Encoders with Machine Translation (2017) (3)
- Scalable Language Modeling: WikiText-103 on a Single GPU in 12 hours (2018) (3)
- Deep Learning for Sentiment Analysis - Invited Talk (2016) (3)
- Converse: A Tree-Based Modular Task-Oriented Dialogue System (2022) (3)
- Private Deep Learning with Teacher Ensembles (2019) (2)
- Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging (2020) (2)
- Explaining Creative Artifacts (2020) (2)
- Combining Contexts in Lexicon Learning for Semantic Parsing (2007) (2)
- Sentinel gate for modulating auxiliary information in a long short-term memory (LSTM) neural network (2017) (2)
- Sentiment Analysis of Tweets : Baselines and Neural Network Models (2013) (1)
- Proceedings of the 2013 NAACL HLT Student Research Workshop (2013) (1)
- Entropy Penalty: Towards Generalization Beyond the IID Assumption (2019) (1)
- Assessing Local Generalization Capability in Deep Models (2020) (1)
- BINING RECENT INSIGHTS FOR LSTMS (2016) (1)
- Compositional Neural Semantic Parsing for Compound Virtual (2018) (1)
- Deep Learning for NLP (without Magic) References (2012) (1)
- Biological data annotation via a human-augmenting AI-based labeling interface (2021) (1)
- BiLSTM 1 BiLSTM 1 Coattention 1 Coattention 2 BiLSTM 2 BiLSTM 2 Output BiLSTM Question Document (2018) (0)
- AUTOMATED RNN ARCHITECTURE GENERATION (2018) (0)
- IARY PROGRESS ESTIMATION (2019) (0)
- Near-Zero-Cost Differentially Private Deep Learning with Teacher Ensembles (2019) (0)
- ODEL FOR A BSTRACTIVE S UMMARIZATION (2018) (0)
- Continual Learning via Explicit Structure Learning (2018) (0)
- C L ] 3 A ug 2 01 7 Revisiting Activation Regularization for Language RNNs (2017) (0)
- 1 Recursive Neural Networks (2015) (0)
- Robust Domain Adaptation By Augmented Cyclic Adversarial Learning (2018) (0)
- Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages (2020) (0)
- MP28-01 ARTIFICIAL INTELLIGENCE (AI) ACCURATELY AUTOMATE AND SPEED IMMUNOFLUORESCENCE (IF)-BASED DISCOVERY AND VALIDATION OF NOVEL PROGNOSTIC AND PREDICTIVE BIOMARKERS IN PROSTATE CANCER (2019) (0)
- Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning (2020) (0)
- Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials (2023) (0)
- 2 Matching Text to Entities : Quiz Bowl (2018) (0)
- Contextual Salience for Fast and Accurate Sentence Vectors. (2020) (0)
- Public Dataset for "Genie (2019) (0)
- Part VI Neural Machine Translation , Seq 2 seq and Attention (2019) (0)
- PREDICTING PREFERENCES Analyzing Reading Behavior and News Preferences (2011) (0)
- Automatic Classification of Cataract based on Deep Learnig (2019) (0)
- Learning World Graph Decompositions To Accelerate Reinforcement Learning (2019) (0)
- Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization (2019) (0)
- DESC LIMIT 1 LSTM Query Decoder Attention Over Previous Utterances , Column Headers , Previous Query Bi LSTM Query Encoder Table Encoder (2019) (0)
- Extracting structural folding pattern of chromatin using chromatin condensation data using HiCNN[12] or HiCNN2[13] approaches Metrics for evaluation: Comparing the result’s mean squared error and Pearson’s correlation coefficients with experimental high-resolution Hi-C data (2022) (0)
- Automatic Extension of Semantic Lexicons with a Bootstrapping Algorithm: Using Corpora to Learn Semantic Features (2008) (0)
- C OMPETITIVE EXPERIENCE REPLAY (2019) (0)
- Identifying Generalization Properties in Neural Networks Identifying Generalization Properties in Neural Networks (2018) (0)
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