Sandra Sajeev

14 papers A* 4A 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
FALCON: Fair Active Learning for Content Moderation.
ECCV Workshops (21)
Zuhui Wang, Sandra Sajeev, Gaurav Mittal, Matthew Hall, Ye Yu, Zhaozheng Yin, Mei Chen
2024 A conf
Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality.
WACV
Jialin Yuan, Ye Yu, Gaurav Mittal, Matthew Hall, Sandra Sajeev, Mei Chen
2024 J jnl
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection.
Int. J. Artif. Intell. Robotics Res.
Christopher Clarke, Matthew Hall, Gaurav Mittal, Ye Yu, Sandra Sajeev, Jason Mars, Mei Chen
2023 A* conf
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization.
CVPR
Mamshad Nayeem Rizve, Gaurav Mittal, Ye Yu, Matthew Hall, Sandra Sajeev, Mubarak Shah, Mei Chen
2023 A* conf
ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding.
CVPR
Lan Wang, Gaurav Mittal, Sandra Sajeev, Ye Yu, Matthew Hall, Vishnu Naresh Boddeti, Mei Chen
2023 J jnl
Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality.
CoRR
Jialin Yuan, Ye Yu, Gaurav Mittal, Matthew Hall, Sandra Sajeev, Mei Chen
2023 — conf
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection.
ACL (1)
Christopher Clarke, Matthew Hall, Gaurav Mittal, Ye Yu, Sandra Sajeev, Jason Mars, Mei Chen
2023 J jnl
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection.
CoRR
Christopher Clarke, Matthew Hall, Gaurav Mittal, Ye Yu, Sandra Sajeev, Jason Mars, Mei Chen
2021 A* conf
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding.
ICLR
Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han
2021 J jnl
Contextual Bandit Applications in Customer Support Bot.
CoRR
Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen
2021 A* conf
Contextual Bandit Applications in a Customer Support Bot.
KDD
Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen
2020 J jnl
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding.
CoRR
Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen
2019 — conf
Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery.
CVPR Workshops
Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric T. Heim, Jigar Doshi, Keane Lucas, Howie Choset, Matthew E. Gaston
2019 J jnl
xBD: A Dataset for Assessing Building Damage from Satellite Imagery.
CoRR
Ritwik Gupta, Richard Hosfelt, Sandra Sajeev, Nirav Patel, Bryce Goodman, Jigar Doshi, Eric T. Heim, Howie Choset, Matthew E. Gaston