Sen Wu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Named Entity Disambiguation

Extreme Value Theory

Linear Transformations

Top Venues

Proc. VLDB Endow.

Publications

Manasi Ganti, Laurel J. Orr, Sen Wu
Evaluating Text-to-SQL Model Failures on Real-World Data. ICDE (2024)
Simran Arora, Sen Wu, Enci Liu, Christopher Ré
Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models. ACL (Findings) (2022)
Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher Ré
Observational Supervision for Medical Image Classification Using Gaze Data. MICCAI (2) (2021)
Simran Arora, Sen Wu, Enci Liu, Christopher Ré
Metadata Shaping: Natural Language Annotations for the Tail. CoRR (2021)
Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. EMNLP (Findings) (2021)
Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher Ré
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CIDR (2021)
Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. CoRR (2021)
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
Understanding the Downstream Instability of Word Embeddings. CoRR (2020)
Sen Wu, Hongyang R. Zhang, Christopher Ré
Understanding and Improving Information Transfer in Multi-Task Learning. CoRR (2020)
Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR (2020)
Laurel J. Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Ré
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CoRR (2020)
Luke Hsiao, Sen Wu, Nicholas Chiang, Christopher Ré, Philip Alexander Levis
Creating Hardware Component Knowledge Bases with Training Data Generation and Multi-task Learning. ACM Trans. Embed. Comput. Syst. 19 (6) (2020)
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
Understanding the Downstream Instability of Word Embeddings. MLSys (2020)
Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
Ivy: Instrumental Variable Synthesis for Causal Inference. AISTATS (2020)
Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré
On the Generalization Effects of Linear Transformations in Data Augmentation. CoRR (2020)
Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
Ivy: Instrumental Variable Synthesis for Causal Inference. CoRR (2020)
Hongyang R. Zhang, Fan Yang, Sen Wu, Weijie J. Su, Christopher Ré
Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression. CoRR (2020)
Sen Wu, Hongyang R. Zhang, Christopher Ré
Understanding and Improving Information Transfer in Multi-Task Learning. ICLR (2020)
Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré
On the Generalization Effects of Linear Transformations in Data Augmentation. ICML (2020)
Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason A. Fries, Sen Wu, Christopher Ré
Snorkel: rapid training data creation with weak supervision. VLDB J. 29 (2-3) (2020)
Vincent S. Chen, Sen Wu, Alexander J. Ratner, Jen Weng, Christopher Ré
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices. NeurIPS (2019)
Luke Hsiao, Sen Wu, Nicholas Chiang, Christopher Ré, Philip Alexander Levis
Automating the generation of hardware component knowledge bases. LCTES (2019)
Vincent S. Chen, Sen Wu, Zhenzhen Weng, Alexander Ratner, Christopher Ré
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices. CoRR (2019)
Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher Ré
Fonduer: Knowledge Base Construction from Richly Formatted Data. SIGMOD Conference (2018)
Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher Ré
Snorkel: Rapid Training Data Creation with Weak Supervision. Proc. VLDB Endow. 11 (3) (2017)
Ce Zhang, Christopher Ré, Michael J. Cafarella, Jaeho Shin, Feiran Wang, Sen Wu
DeepDive: declarative knowledge base construction. Commun. ACM 60 (5) (2017)
Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher Ré
Snorkel: A System for Lightweight Extraction. CIDR (2017)
Jason A. Fries, Sen Wu, Alexander Ratner, Christopher Ré
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data. CoRR (2017)
Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher Ré
Snorkel: Rapid Training Data Creation with Weak Supervision. CoRR (2017)
Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher Ré
Fonduer: Knowledge Base Construction from Richly Formatted Data. CoRR (2017)
Christopher De Sa, Alexander Ratner, Christopher Ré, Jaeho Shin, Feiran Wang, Sen Wu, Ce Zhang
Incremental knowledge base construction using DeepDive. VLDB J. 26 (1) (2017)
Alexander J. Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, Christopher Ré
Data Programming: Creating Large Training Sets, Quickly. NIPS (2016)
Alexander Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, Christopher Ré
Data Programming: Creating Large Training Sets, Quickly. CoRR (2016)
Christopher De Sa, Alexander Ratner, Christopher Ré, Jaeho Shin, Feiran Wang, Sen Wu, Ce Zhang
DeepDive: Declarative Knowledge Base Construction. SIGMOD Rec. 45 (1) (2016)
Sen Wu, Ce Zhang, Feiran Wang, Christopher Ré
Incremental Knowledge Base Construction Using DeepDive. CoRR (2015)
Jaeho Shin, Sen Wu, Feiran Wang, Christopher De Sa, Ce Zhang, Christopher Ré
Incremental Knowledge Base Construction Using DeepDive. Proc. VLDB Endow. 8 (11) (2015)
Christopher Ré, Amir Abbas Sadeghian, Zifei Shan, Jaeho Shin, Feiran Wang, Sen Wu, Ce Zhang
Feature Engineering for Knowledge Base Construction. IEEE Data Eng. Bull. 37 (3) (2014)
Ce Zhang, Christopher Ré, Amir Abbas Sadeghian, Zifei Shan, Jaeho Shin, Feiran Wang, Sen Wu
Feature Engineering for Knowledge Base Construction. CoRR (2014)