Research publication
Computer Science & AI Conferences
Upcoming academic conferences and calls for papers — VLDB, ICLR, NeurIPS, IEEE, ACM and more — with submission deadlines, CORE rankings and venues, by subject.
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All areasSystems & Architecture 35Security & Privacy 33Artificial Intelligence 25Software Engineering 24Graphics & Multimedia 22Computer Networks 21Databases & Data Mining 16Human-Computer Interaction 13Interdisciplinary Computing 13Theory of Computing 10Computer Vision 7Natural Language Processing 6
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6 conferences · Computer Science & AI · in United States · matching “Learning”
MLSys 2027
Conference on Machine Learning and Systems
Interdisciplinary Computing
- Paper deadline
- 30 Oct 2026
- Event
- 21–25 Jun 2027 · Bellevue, United States
32 days left
CVPR 2027A*
IEEE/CVF Conference on Computer Vision and Pattern Recognition
Computer Vision · IEEE / CVF
- Paper deadline
- 16 Nov 2026
- Event
- 19–26 Jun 2027 · Seattle, United States
49 days lefth5 450
CoRL 2026A
The Conference on Robot Learning
Robotics · PMLR
- Paper deadline
- 29 May 2026
- Event
- 9–12 Nov 2026 · Austin, United States
Submissions closed
LOG 2026
Learning on Graphs Conference
Artificial Intelligence
- Paper deadline
- 7 Aug 2026
- Event
- 20–22 Nov 2026 · Northeastern University, United States
Submissions closed
WACV 2027A
IEEE/CVF Winter Conference on Applications of Computer Vision
Computer Vision · IEEE / CVF
- Paper deadline
- 28 Aug 2026
- Event
- 4–8 Jan 2027 · Buena Vista, FL, United States
Submissions closedh5 131
ICLR 2027A*
The Fifteenth International Conference on Learning Representations
Machine Learning · OpenReview
- Paper deadline
- 25 Sept 2026
- Event
- 26–30 Apr 2027 · San Francisco, United States
Submissions closedh5 304
Deadlines are the paper-submission dates from each conference's own call for papers, gathered from the organisers' sites, ccfddl, AI Deadlines and WikiCFP. Rankings are from CORE and CCF. Organisers move dates — always confirm on the official website before you submit, and be wary of events that promise publication for a fee alone.
