Socher, Richard

ImageNet: A large-scale hierarchical image database

Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition

Image Retrieval and Classification TechniquesAdvanced Neural Network Applications

Cited by 65,333

Glove: Global Vectors for Word Representation

Pennington, J., Socher, R., & Manning, C. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 34,071

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Socher, R., Perelygin, A., Wu, J., Chuang, J., Manning, C. D., Ng, A., & Potts, C. (2013) · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 6,878

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

Tai, K. S., Socher, R., & Manning, C. D. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 3,081

Deep learning-enabled medical computer vision

Esteva, A., Chou, K., Yeung, S., Naik, N., Madani, A., Mottaghi, A., Liu, Y., Topol, E., Dean, J., & Socher, R. (2021) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationAdvanced Neural Network Applications

Cited by 1,406

A Deep Reinforced Model for Abstractive Summarization

Paulus, R., Xiong, C., & Socher, R. (2017) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,182

Large language models generate functional protein sequences across diverse families

Madani, A., Krause, B., Greene, E. R., Subramanian, S., Mohr, B. P., Holton, J. M., Olmos, J. L., Xiong, C., Sun, Z. Z., Socher, R., et al. (2023) · Nature Biotechnology

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 1,078

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

Kumar, A., Irsoy, O., Ondruska, P., Iyyer, M., Bradbury, J., Gulrajani, I., Zhong, V., Paulus, R., & Socher, R. (2015) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,020

Zero-Shot Learning Through Cross-Modal Transfer

Socher, R., Ganjoo, M., Sridhar, H., Bastani, O., Manning, C. D., & Ng, A. Y. (2013) · arXiv

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 997

CTRL: A Conditional Transformer Language Model for Controllable Generation

Keskar, N. S., McCann, B., Varshney, L. R., Xiong, C., & Socher, R. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 751

Regularizing and Optimizing LSTM Language Models

Merity, S., Keskar, N. S., & Socher, R. (2017) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 697

Evaluating the Factual Consistency of Abstractive Text Summarization

Kryscinski, W., McCann, B., Xiong, C., & Socher, R. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 669

End-to-End Dense Video Captioning with Masked Transformer

Zhou, L., Zhou, Y., Corso, J. J., Socher, R., & Xiong, C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 605

SummEval: Re-evaluating Summarization Evaluation

Fabbri, A. R., Kryściński, W., McCann, B., Xiong, C., Socher, R., & Radev, D. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 587

Learned in Translation: Contextualized Word Vectors

McCann, B., Bradbury, J., Xiong, C., & Socher, R. (2017) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 572

ERASER: A Benchmark to Evaluate Rationalized NLP Models

DeYoung, J., Jain, S., Rajani, N. F., Lehman, E., Xiong, C., Socher, R., & Wallace, B. C. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 561

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

Hashimoto, K., xiong, C., Tsuruoka, Y., & Socher, R. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 535

The Natural Language Decathlon: Multitask Learning as Question Answering

McCann, B., Keskar, N. S., Xiong, C., & Socher, R. (2018) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 448

BERTology Meets Biology: Interpreting Attention in Protein Language Models

Vig, J., Madani, A., Varshney, L. R., Xiong, C., Socher, R., & Rajani, N. F. (2020) · bioRxiv (Cold Spring Harbor Laboratory)

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 338

Neural Text Summarization: A Critical Evaluation

Kryscinski, W., Keskar, N. S., McCann, B., Xiong, C., & Socher, R. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 335

Large Language Models: A Survey

Minaee, S., Mikolov, T., Nikzad, N., Chenaghlu, M., Socher, R., Amatriain, X., & Gao, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 325

GeDi: Generative Discriminator Guided Sequence Generation

Krause, B., Gotmare, A. D., McCann, B., Keskar, N. S., Joty, S., Socher, R., & Rajani, N. F. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Topic ModelingNatural Language Processing Techniques

Cited by 220

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

Esteva, A., Feng, J., van der Wal, D., Huang, S.-C., Simko, J. P., DeVries, S., Chen, E., Schaeffer, E. M., Morgan, T. M., Sun, Y., et al. (2022) · npj Digital Medicine

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 217

Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

Ma, C.-Y., Lu, J., Wu, Z., AlRegib, G., Kira, Z., Socher, R., & Xiong, C. (2019) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 200