Author

Davis Wertheimer

Observed name: Wertheimer, Davis

Institutions: IBM (United States), University at Albany, State University of New York, IBM Research - Thomas J. Watson Research Center

Observed institutions: IBM (United States), Cornell University, University at Albany, State University of New York, IBM Research - Thomas J. Watson Research Center

ORCID: 0000-0003-2665-6203

Observed ORCID: 0000-0003-2665-6203

OpenAlex ID: A5017376837

Few-Shot Classification with Feature Map Reconstruction Networks

2021 · Davis Wertheimer, Luming Tang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 388

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Few-Shot Learning With Localization in Realistic Settings

2019 · Davis Wertheimer, Bharath Hariharan · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 180

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

2020 · Luming Tang, Davis Wertheimer, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 63

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INDUS: Effective and Efficient Language Models for Scientific Applications

2024 · Bhattacharjee, Bishwaranjan, Trivedi, Aashka, et al. · arXiv (Cornell University) · 15

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Accelerating Production LLMs with Combined Token/Embedding Speculators

2024 · Wertheimer, Davis, Rosenkranz, Joshua, et al. · arXiv (Cornell University) · 15

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XPress: Parallel Refinement for Diffusion Drafters in Speculative Decoding

2026 · Wang, Zheng, Wertheimer, Davis, et al. · arXiv (Cornell University) · 10

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INDUS: Effective and Efficient Language Models for Scientific Applications

2024 · Bishwaranjan Bhattacharjee, Aashka Trivedi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 10

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

2023 · Tianshi Wang, Jinyang Li, et al. · ACM Conference on Embedded Networked Sensor Systems (SenSys) · 10

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NorBERT: NetwOrk Representations Through BERT for Network Analysis & Management

2022 · Franck Le, Davis Wertheimer, et al. · Proceedings - International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems · 9

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Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation

2020 · Wertheimer, Davis, Poursaeed, Omid, et al. · arXiv (Cornell University) · 7

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FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU

2026 · Ye, Felix X. -F., Li, Xingjie, et al. · arXiv (Cornell University) · 4

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

2020 · Davis Wertheimer, Luming Tang, et al. · arXiv (Cornell University) · 3

A Self-Pruning Transformer: Extreme KV-Cache Compression with Universal Attention

2026 · Wertheimer, Davis, Shen, Haochen, et al. · arXiv (Cornell University) · 1

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