Davis Wertheimer

According to our database, Davis Wertheimer authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

INDUS: Effective and Efficient Language Models for Scientific Applications.

Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Mike Little, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Armin Mehrabian, Tsengdar J. Lee

CoRR, 2024

Accelerating Production LLMs with Combined Token/Embedding Speculators.

Davis Wertheimer, Joshua Rosenkranz, Thomas P. Parnell, Sahil Suneja, Pavithra Ranganathan, Raghu K. Ganti, Mudhakar Srivatsa

CoRR, 2024

INDUS: Effective and Efficient Language Models for Scientific Applications.

Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsengdar J. Lee

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

2023

SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach.

Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

2022

Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners.

Davis Wertheimer, Luming Tang, Bharath Hariharan

CoRR, 2022

NorBERT: NetwOrk Representations through BERT for Network Analysis and Management.

Franck Le, Davis Wertheimer, Seraphin B. Calo, Erich M. Nahum

CoRR, 2022

NorBERT: NetwOrk Representations Through BERT for Network Analysis & Management.

Franck Le, Davis Wertheimer, Seraphin B. Calo, Erich M. Nahum

Proceedings of the 30th International Symposium on Modeling, 2022

2021

Few-Shot Classification With Feature Map Reconstruction Networks.

Davis Wertheimer, Luming Tang, Bharath Hariharan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.

Davis Wertheimer, Luming Tang, Bharath Hariharan

CoRR, 2020

Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation.

Davis Wertheimer, Omid Poursaeed, Bharath Hariharan

CoRR, 2020

Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition.

Luming Tang, Davis Wertheimer, Bharath Hariharan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Few-Shot Learning With Localization in Realistic Settings.

Davis Wertheimer, Bharath Hariharan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019