Richard Socher

According to our database1, Richard Socher authored at least 83 papers between 2007 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2018
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation.
CoRR, 2018

Identifying Generalization Properties in Neural Networks.
CoRR, 2018

Multi-Hop Knowledge Graph Reasoning with Reward Shaping.
CoRR, 2018

Improving Abstraction in Text Summarization.
CoRR, 2018

Augmented Cyclic Adversarial Learning for Domain Adaptation.
CoRR, 2018

The Natural Language Decathlon: Multitask Learning as Question Answering.
CoRR, 2018

Using Mode Connectivity for Loss Landscape Analysis.
CoRR, 2018

Global-Locally Self-Attentive Dialogue State Tracker.
CoRR, 2018

Efficient and Robust Question Answering from Minimal Context over Documents.
CoRR, 2018

End-to-End Dense Video Captioning with Masked Transformer.
CoRR, 2018

A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation.
CoRR, 2018

An Analysis of Neural Language Modeling at Multiple Scales.
CoRR, 2018

A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation.
Proceedings of the Interspeech 2018, 2018

Improving End-to-End Speech Recognition with Policy Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multi-Hop Knowledge Graph Reasoning with Reward Shaping.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Improving Abstraction in Text Summarization.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Efficient and Robust Question Answering from Minimal Context over Documents.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Global-Locally Self-Attentive Encoder for Dialogue State Tracking.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Interpretable Counting for Visual Question Answering.
CoRR, 2017

Improving Generalization Performance by Switching from Adam to SGD.
CoRR, 2017

A Flexible Approach to Automated RNN Architecture Generation.
CoRR, 2017

Block-diagonal Hessian-free Optimization for Training Neural Networks.
CoRR, 2017

Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning.
CoRR, 2017

Improved Regularization Techniques for End-to-End Speech Recognition.
CoRR, 2017

Improving End-to-End Speech Recognition with Policy Learning.
CoRR, 2017

Learning when to skim and when to read.
CoRR, 2017

Non-Autoregressive Neural Machine Translation.
CoRR, 2017

Weighted Transformer Network for Machine Translation.
CoRR, 2017

DCN+: Mixed Objective and Deep Residual Coattention for Question Answering.
CoRR, 2017

Towards Neural Machine Translation with Latent Tree Attention.
CoRR, 2017

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.
CoRR, 2017

Regularizing and Optimizing LSTM Language Models.
CoRR, 2017

Revisiting Activation Regularization for Language RNNs.
CoRR, 2017

Learned in Translation: Contextualized Word Vectors.
CoRR, 2017

A Deep Reinforced Model for Abstractive Summarization.
CoRR, 2017

Learning when to skim and when to read.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Learned in Translation: Contextualized Word Vectors.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Towards Neural Machine Translation with Latent Tree Attention.
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017

Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Dynamic Coattention Networks For Question Answering.
CoRR, 2016

Dynamic Memory Networks for Visual and Textual Question Answering.
CoRR, 2016

Pointer Sentinel Mixture Models.
CoRR, 2016

Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning.
CoRR, 2016

A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs.
CoRR, 2016

Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling.
CoRR, 2016

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks.
CoRR, 2016

Quasi-Recurrent Neural Networks.
CoRR, 2016

MetaMind Neural Machine Translation System for WMT 2016.
Proceedings of the First Conference on Machine Translation, 2016

Deep Learning for Sentiment Analysis - Invited Talk.
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, 2016

Dynamic Memory Networks for Visual and Textual Question Answering.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.
CoRR, 2015

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing.
CoRR, 2015

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Grounded Compositional Semantics for Finding and Describing Images with Sentences.
TACL, 2014

Global Belief Recursive Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Scaling short-answer grading by combining peer assessment with algorithmic scoring.
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Glove: Global Vectors for Word Representation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Neural Network for Factoid Question Answering over Paragraphs.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Zero-Shot Learning Through Cross-Modal Transfer
CoRR, 2013

Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors
CoRR, 2013

Zero-Shot Learning Through Cross-Modal Transfer.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Reasoning With Neural Tensor Networks for Knowledge Base Completion.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Deep Learning for NLP (without Magic).
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Bilingual Word Embeddings for Phrase-Based Machine Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Better Word Representations with Recursive Neural Networks for Morphology.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

Parsing with Compositional Vector Grammars.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Convolutional-Recursive Deep Learning for 3D Object Classification.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Semantic Compositionality through Recursive Matrix-Vector Spaces.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Deep Learning for NLP (without Magic).
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012

Improving Word Representations via Global Context and Multiple Word Prototypes.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Parsing Natural Scenes and Natural Language with Recursive Neural Networks.
Proceedings of the 28th International Conference on Machine Learning, 2011

Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010
Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
A Bayesian Analysis of Dynamics in Free Recall.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Towards total scene understanding: Classification, annotation and segmentation in an automatic framework.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

ImageNet: A large-scale hierarchical image database.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
A learning based hierarchical model for vessel segmentation.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Combining Contexts in Lexicon Learning for Semantic Parsing.
Proceedings of the 16th Nordic Conference of Computational Linguistics, 2007


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