# ACML — Asian Conference on Machine Learning

- **Submission deadline**: 2026-07-05
- **Notification date**: 2026-09-15
- **Conference date**: 2026-12-01
- **Location**: Melbourne, Australia
- **Rankings**: CCF C · CORE C
- **Conference Partner Index**: 76.2/100 (ranked #243, confidence 1.00, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 303
- **Attendees**: 64
- **Canonical page**: https://www.myhuiban.com/conference/1058

## Acceptance history

| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| 2021 | 441 | 130 | 29.5% |
| 2020 | 211 | 60 | 28.4% |
| 2019 | 343 | 87 | 25.4% |
| 2018 | 265 | 64 | 24.2% |
| 2017 | 195 | 47 | 24.1% |
| 2016 | 147 | 34 | 23.1% |
| 2015 | 96 | 28 | 29.2% |
| 2014 | 80 | 25 | 31.3% |
| 2013 | 103 | 32 | 31.1% |
| 2012 | 138 | 36 | 26.1% |

## Past editions

| Year | Deadline | Conference date | Location |
|---|---|---|---|
| 2024 | 2024-06-26 | 2024-12-05 | Hanoi, Vietnam |

## Call for papers

Topics Topics of interest include but are not limited to: General machine learning Active learning Bayesian machine learning Clustering Imitation Learning Learning to Rank Meta-Learning Multi-objective learning Multiple instance learning Multi-task learning Neuro-symbolic methods Online learning Optimization Reinforcement learning Relational learning Self-supervised learning Semi-supervised learning Structured output learning Supervised learning Transfer learning Unsupervised learning Weakly-supervised learning Learning with noisy labels Continual / lifelong learning Few-shot and zero-shot learning Out-of-distribution generalization Other machine learning methodologies Deep learning Architectures Deep reinforcement learning Generative models Multi-modality learning Large-language models and other foundation models Deep learning theory Representation learning Other topics in deep learning Generative AI Multimodal generative models Controllable and conditional generation Editing, inpainting, and style transfer Evaluation Creative applications (art, music, media) Theory Bandits Computational learning theory Game theory Optimization Statistical learning theory Other theories Datasets and reproducibility Implementations, libraries ML datasets and benchmarks Synthetic data generation Other topics in reproducible ML research Trustworthy machine learning Accountability, explainability, transparency Adversarial learning Causality Fairness Privacy Robustness AutoML AI safety and alignment Hallucination mitigation and reliability Other topics in trustworthy ML Learning in knowledge-intensive systems Knowledge refinement and theory revision Multi-strategy learning Retrieval-augmented generation (RAG) Knowledge-enhanced foundation models Other systems Applications Bioinformatics Biomedical informatics Climate science Collaborative filtering Computer vision Healthcare Human activity recognition Information retrieval Natural language processing Social good Social networks Web search ML for science discovery Other applications

## Related conferences

- ICC — International Conference on Communications — https://www.myhuiban.com/conference/318
- IJCNN — International Joint Conference on Neural Networks — https://www.myhuiban.com/conference/428
- TrustCom — International Conference on Trust, Security and Privacy in Computing and Communications — https://www.myhuiban.com/conference/1289
- ICONIP — International Conference on Neural Information Processing — https://www.myhuiban.com/conference/437
- HPCC — International Conference on High Performance  Computing and  Communications — https://www.myhuiban.com/conference/232

## Related journals

- Machine Learning — https://www.myhuiban.com/journal/194
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Future Generation Computer Systems — https://www.myhuiban.com/journal/36
- Neurocomputing — https://www.myhuiban.com/journal/234
- Pattern Recognition Letters — https://www.myhuiban.com/journal/236

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Source: Conference Partner — https://www.myhuiban.com/conference/1058 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)