David S. Rosenberg

According to our database, David S. Rosenberg authored at least 15 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Academics Can Contribute to Domain-Specialized Language Models.

Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, David S. Rosenberg, Sebastian Gehrmann

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

BloombergGPT: A Large Language Model for Finance.

Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David S. Rosenberg, Gideon Mann

CoRR, 2023

MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies.

Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

Dual Reinforcement-Based Specification Generation for Image De-Rendering.

Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal

Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2019

Challenges in End-to-End Neural Scientific Table Recognition.

Yuntian Deng, David S. Rosenberg, Gideon Mann

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning.

Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018

Improving Grey-Box Fuzzing by Modeling Program Behavior.

Siddharth Karamcheti, Gideon Mann, David S. Rosenberg

CoRR, 2018

Adaptive Grey-Box Fuzz-Testing with Thompson Sampling.

Siddharth Karamcheti, Gideon Mann, David S. Rosenberg

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

2017

Scatteract: Automated Extraction of Data from Scatter Plots.

Mathieu Cliche, David S. Rosenberg, Dhruv Madeka, Connie Yee

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2015

Collaborative Place Models.

Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Collaborative Ranking for Local Preferences.

Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2009

Multiview point cloud kernels for semisupervised learning [Lecture Notes].

David S. Rosenberg, Vikas Sindhwani, Peter L. Bartlett, Partha Niyogi

IEEE Signal Process. Mag., 2009

2008

An RKHS for multi-view learning and manifold co-regularization.

Vikas Sindhwani, David S. Rosenberg

Proceedings of the Machine Learning, 2008

2007

The Rademacher Complexity of Co-Regularized Kernel Classes.

David S. Rosenberg, Peter L. Bartlett

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Mixture-of-Parents Maximum Entropy Markov Models.

David S. Rosenberg, Dan Klein, Ben Taskar

Proceedings of the UAI 2007, 2007