Few-Shot Learning With Localization in Realistic Settings. - Davis Wertheimer; Bharath Hariharan (CVPR, 2019)

Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition. - Luming Tang; Davis Wertheimer; Bharath Hariharan (CVPR, 2020)

Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation. - Davis Wertheimer; Omid Poursaeed; Bharath Hariharan (CoRR, 2020)

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks. - Davis Wertheimer; Luming Tang; Bharath Hariharan (CoRR, 2020)

Few-Shot Classification With Feature Map Reconstruction Networks. - Davis Wertheimer; Luming Tang; Bharath Hariharan (CVPR, 2021)

NorBERT: NetwOrk Representations Through BERT for Network Analysis & Management. - Franck Le; Davis Wertheimer; Seraphin B. Calo; Erich M. Nahum (MASCOTS, 2022)

NorBERT: NetwOrk Representations through BERT for Network Analysis and Management. - Franck Le; Davis Wertheimer; Seraphin B. Calo; Erich M. Nahum (CoRR, 2022)

Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners. - Davis Wertheimer; Luming Tang; Bharath Hariharan (CoRR, 2022)

SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. - Tianshi Wang; Jinyang Li 004; Ruijie Wang 004; Denizhan Kara; Shengzhong Liu; Davis Wertheimer; Antoni Viros-i-Martin; Raghu K. Ganti; Mudhakar Srivatsa; Tarek F. Abdelzaher (SenSys, 2023)

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; et al. (EMNLP (Industry Track), 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; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; Mike Little; et al. (CoRR, 2024)