Articles with public access mandates - Jaemin ChoLearn more
Available somewhere: 12
Unifying Vision-and-Language Tasks via Text Generation
J Cho, J Lei, H Tan, M Bansal
ICML, 2021
Mandates: US National Science Foundation, US Department of Defense
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
YL Sung, J Cho, M Bansal
CVPR, 2022
Mandates: US Department of Defense
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
J Cho, A Zala, M Bansal
ICCV, 2023
Mandates: US Department of Defense
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
YL Sung, J Cho, M Bansal
NeurIPS, 2022
Mandates: US National Science Foundation, US Department of Defense
Self-Chained Image-Language Model for Video Localization and Question Answering
S Yu, J Cho, P Yadav, M Bansal
NeurIPS, 2023
Mandates: US National Science Foundation, US Department of Defense
Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation
J Cho, A Zala, M Bansal
NeurIPS, 2023
Mandates: US National Science Foundation, US Department of Defense
Hierarchical Video-Moment Retrieval and Step-Captioning
A Zala, J Cho, S Kottur, X Chen, B Oğuz, Y Mehdad, M Bansal
CVPR, 2023
Mandates: US National Science Foundation, US Department of Defense
TVLT: Textless Vision-Language Transformer
Z Tang, J Cho, Y Nie, M Bansal
NeurIPS, 2022
Mandates: US National Science Foundation, US Department of Defense
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
Z Tang, J Cho, H Tan, M Bansal
NeurIPS, 2021
Mandates: US Department of Defense
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
RG Reddy, X Rui, M Li, X Lin, H Wen, J Cho, L Huang, M Bansal, A Sil, ...
AAAI, 2022
Mandates: US Department of Defense
Paxion: Patching Action Knowledge in Video-Language Foundation Models
Z Wang, A Blume, S Li, G Liu, J Cho, Z Tang, M Bansal, H Ji
NeurIPS, 2023
Mandates: US Department of Defense
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention
Z Tang, J Cho, J Lei, M Bansal
WACV, 2023
Mandates: US National Science Foundation, US Department of Defense
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