Spencer Whitehead

According to our database, Spencer Whitehead authored at least 26 papers between 2016 and 2024.

Collaborative distances:

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

2024

Pre-Training Multimodal Hallucination Detectors with Corrupted Grounding Data.

Spencer Whitehead, Jacob Phillips, Sean Hendryx

CoRR, 2024

Learning Goal-Conditioned Representations for Language Reward Models.

Vaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx

CoRR, 2024

Simple Token-Level Confidence Improves Caption Correctness.

Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning.

Dadallage A. R. Silva, Spencer Whitehead, Christopher T. Lengerich, Hugh Leather

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Segment Anything.

Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloé Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross B. Girshick

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Selective Visual Question Answering by Learning from Your Peers.

Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly.

Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Unifying cross-modal concepts in vision and language

Spencer Whitehead

PhD thesis, 2021

Separating Skills and Concepts for Novel Visual Question Answering.

Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko

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

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving.

Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning from Lexical Perturbations for Consistent Visual Question Answering.

Spencer Whitehead, Hui Wu, Yi Ren Fung, Heng Ji, Rogério Schmidt Feris, Kate Saenko

CoRR, 2020

Cross-media Structured Common Space for Multimedia Event Extraction.

Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, Shih-Fu Chang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

GAIA: A Fine-grained Multimedia Knowledge Extraction System.

Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare R. Voss, Daniel Napierski, Marjorie Freedman

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks.

Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies.

Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue

CoRR, 2019

GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.

Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang

Proceedings of the 2019 Text Analysis Conference, 2019

Multilingual Entity, Relation, Event and Human Value Extraction.

Manling Li, Ying Lin, Joseph Hoover, Spencer Whitehead, Clare R. Voss, Morteza Dehghani, Heng Ji

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Studying Wythoff and Zometool Constructions Using Maple.

Benoit Charbonneau, Spencer Whitehead

Proceedings of the Maple in Mathematics Education and Research - Third Maple Conference, 2019

2018

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.

Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang

Proceedings of the 2018 Text Analysis Conference, 2018

Incorporating Background Knowledge into Video Description Generation.

Spencer Whitehead, Heng Ji, Mohit Bansal, Shih-Fu Chang, Clare R. Voss

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Entity-aware Image Caption Generation.

Di Lu, Spencer Whitehead, Lifu Huang, Heng Ji, Shih-Fu Chang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Global Attention for Name Tagging.

Boliang Zhang, Spencer Whitehead, Lifu Huang, Heng Ji

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Paper Abstract Writing through Editing Mechanism.

Qingyun Wang, Zhihao Zhou, Lifu Huang, Spencer Whitehead, Boliang Zhang, Heng Ji, Kevin Knight

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

RPI BLENDER TAC-KBP2017 13 Languages EDL System.

Boliang Zhang, Xiaoman Pan, Ying Lin, Tongtao Zhang, Kevin Blissett, Samia Kazemi, Spencer Whitehead, Lifu Huang, Heng Ji

Proceedings of the 2017 Text Analysis Conference, 2017

Improving Event Extraction via Multimodal Integration.

Tongtao Zhang, Spencer Whitehead, Hanwang Zhang, Hongzhi Li, Joseph G. Ellis, Lifu Huang, Wei Liu, Heng Ji, Shih-Fu Chang

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

RPI BLENDER TAC-KBP2016 System Description.

Dian Yu, Xiaoman Pan, Boliang Zhang, Lifu Huang, Di Lu, Spencer Whitehead, Heng Ji

Proceedings of the 2016 Text Analysis Conference, 2016