posted by user: cchangyou || 705 views || tracked by 1 users: [display]

FOMO-VL 2022 : The 1st Workshop on Foundation Models for Vision and Language


When Nov 30, 2022 - Nov 30, 2022
Where Virtual/Florida
Submission Deadline Sep 16, 2022
Notification Due Oct 7, 2022
Categories    machine learning   foundation models   vision and language   deep learning

Call For Papers

The FOMO-VL 2022 workshop aims to bring together practitioners and researchers with a specific focus on the emerging trends and industry needs associated with multimodality data analytics with foundation models. Both theoretical and experimental submissions are encouraged. Papers should elaborate on model pre-training and adaptation methods with multimodality data, opportunities and issues associated with foundation models, visualization and efficient large-scale training tools, methods, and novel applications or systems. Topics of interest include but are not limited to:

1. Theories and algorithms of self-supervised learning, e.g., generative and contrastive approaches
2. Scaling and generalization of pre-training including multi-task and modularized architectures
3. Efficient distributed training technique for big multimodality data
4. Light-weight model adaption on resource-limited devices and scenarios
5. Data-efficient model adaptation methods: zero-shot and few-shot
6. Vision-and-language (V+L) benchmarks and evaluation
7. Knowledge-enriched methods
8. Interactive AI agents with foundation models
9. Foundation models beyond V+L, e.g., structured data, multilingual, video and knowledge-graph
10. Data collection for foundation models
11. Risks and bias issues in foundation models
12. Novel applications in domains including retails, finance, and healthcare
13. Visions/Comments on the futures of foundation models for V+L

Submission Guidelines We welcome full research papers (be limited to a maximum of 8 pages excluding supplementary materials), as well as vision/demo/poster/industrial papers (up to 3 pages excluding references and appendix). Submissions longer than 8 main pages will be rejected without review. You can include any number of pages for references and appendix. If you have an appendix, please combine it with the main pages into a single PDF file, as no additional file will be accepted in the submission system. All submissions will be reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity.

Panelists (random order):
-- Jianfeng Gao (MSR)
-- Trishul Chilimbi (Amazon)
-- Christoph Schuhmann (LAION)
-- Ruslan Salakhutdinov (CMU)
-- Ludwig Schmidt (UW)

Invited Speakers (random order):
-- Danqi Chen (Princeton)
-- Xifeng Yan (UCSB)
-- Tengyu Ma (Standford)
-- Letitia Parcalabescu (University of Heidelberg)
-- Jiahui Yu (Google)
-- Lu Yuan (MSR)
-- Jiasen Lu (Allen Institute of AI)
-- Justin Lin (Alibaba)

Related Resources

MLDM 2023   18th International Conference on Machine Learning and Data Mining
CVPR 2023   The IEEE/CVF Conference on Computer Vision and Pattern Recognition
IJCNN 2023   International Joint Conference on Neural Networks
ECNLPIR 2022   2022 European Conference on Natural Language Processing and Information Retrieval (ECNLPIR 2022)
FAIML 2023   2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2023)
CLNLP 2022   2022 3rd International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2022)
MODELS 2022   MODELS 2022 : ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems
CBW 2023   4th International Conference on Cloud, Big Data and Web Services
NLCAI 2023   4th International Conference on Natural Language Computing and AI
OPTLJ 2022   Integrated Optics and Lightwave : An International Journal