Multiple Frames Matching for Object Discovery in Video. - Otilia Stretcu; Marius Leordeanu (BMVC, 2015)

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. - Xiao Fu 001; Kejun Huang; Otilia Stretcu; Hyun Ah Song; Evangelos E. Papalexakis; Partha P. Talukdar; Tom M. Mitchell; Nicholas D. Sidiropoulos; Christos Faloutsos; Barnabás Póczos (SDM, 2017)

Efficient Multi-task Feature and Relationship Learning. - Han Zhao 002; Otilia Stretcu; Renato Negrinho; Alexander J. Smola; Geoffrey J. Gordon (CoRR, 2017)

Competence-based Curriculum Learning for Neural Machine Translation. - Emmanouil Antonios Platanios; Otilia Stretcu; Graham Neubig; Barnabás Póczos; Tom M. Mitchell (NAACL-HLT (1), 2019)

Graph Agreement Models for Semi-Supervised Learning. - Otilia Stretcu; Krishnamurthy Viswanathan; Dana Movshovitz-Attias; Emmanouil A. Platanios; Sujith Ravi; Andrew Tomkins (NeurIPS, 2019)

Efficient Multitask Feature and Relationship Learning. - Han Zhao 002; Otilia Stretcu; Alexander J. Smola; Geoffrey J. Gordon (UAI, 2019)

Contextual Parameter Generation for Knowledge Graph Link Prediction. - George Stoica; Otilia Stretcu; Emmanouil Antonios Platanios; Tom M. Mitchell; Barnabás Póczos (AAAI, 2020)

Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. - Mariya Toneva; Otilia Stretcu; Barnabás Póczos; Leila Wehbe; Tom M. Mitchell (NeurIPS, 2020)

Coarse-to-Fine Curriculum Learning. - Otilia Stretcu; Emmanouil Antonios Platanios; Tom M. Mitchell; Barnabás Póczos (CoRR, 2021)

Curriculum Learning. - Otilia Stretcu (2022)

Agile Modeling: From Concept to Classifier in Minutes. - Otilia Stretcu; Edward Vendrow; Kenji Hata; Krishnamurthy Viswanathan; Vittorio Ferrari; Sasan Tavakkol; Wenlei Zhou; Aditya Avinash; Enming Luo; Neil Gordon Alldrin; MohammadHossein Bateni; Gabriel Berger; et al. (ICCV, 2023)

Benchmarking Robustness to Adversarial Image Obfuscations. - Florian Stimberg; Ayan Chakrabarti; Chun-Ta Lu; Hussein Hazimeh 001; Otilia Stretcu; Wei Qiao; Yintao Liu; Merve Kaya; Cyrus Rashtchian; Ariel Fuxman; Mehmet Tek; Sven Gowal (NeurIPS, 2023)

Agile Modeling: Image Classification with Domain Experts in the Loop. - Otilia Stretcu; Edward Vendrow; Kenji Hata; Krishnamurthy Viswanathan; Vittorio Ferrari; Sasan Tavakkol; Wenlei Zhou; Aditya Avinash; Enming Luo; Neil Gordon Alldrin; MohammadHossein Bateni; Gabriel Berger; et al. (CoRR, 2023)

Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models. - Yushi Hu; Otilia Stretcu; Chun-Ta Lu; Krishnamurthy Viswanathan; Kenji Hata; Enming Luo; Ranjay Krishna; Ariel Fuxman (CVPR, 2024)

Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use. - Imad Eddine Toubal; Aditya Avinash; Neil Gordon Alldrin; Jan Dlabal; Wenlei Zhou; Enming Luo; Otilia Stretcu; Hao Xiong; Chun-Ta Lu; Howard Zhou; Ranjay Krishna; Ariel Fuxman; et al. (CVPR, 2024)

Scaling Up LLM Reviews for Google Ads Content Moderation. - Wei Qiao; Tushar Dogra; Otilia Stretcu; Yu-Han Lyu; Tiantian Fang; Dongjin Kwon; Chun-Ta Lu; Enming Luo; Yuan Wang 049; Chih-Chun Chia; Ariel Fuxman; Fangzhou Wang; et al. (WSDM, 2024)