Artificial Intellgience (AI) is leading the modern world with its latest innovations, advancements and contributions. Followig is the list of 20 top conferences in the field of AI.

1. AAAI Conference on Artificial Intelligence

Scope:

The AAAI Conference on Artificial Intelligence covers various aspects of AI, including machine learning, natural language processing, robotics, and computer vision.

Publisher:

The conference proceedings are published by the Association for the Advancement of Artificial Intelligence (AAAI).

History:

Established in 1980, the AAAI Conference has become a prominent event in the AI community, attracting researchers and practitioners from around the world.

Contribution:

The conference has significantly contributed to the development of AI by presenting cutting-edge research, promoting interdisciplinary collaboration, and fostering the exchange of ideas.

2. ICML (International Conference on Machine Learning)

Scope:

ICML focuses on machine learning algorithms, theory, and applications. It covers a wide range of topics, including supervised and unsupervised learning, reinforcement learning, and deep learning.

Publisher:

The conference proceedings are published by the International Machine Learning Society (IMLS).

History:

ICML was first held in 1980 and has since become one of the leading conferences in the field of machine learning.

Contribution:

ICML has played a crucial role in advancing machine learning research, providing a platform for presenting innovative algorithms and fostering collaboration among researchers.

3. IJCAI (International Joint Conference on Artificial Intelligence)

Scope:

IJCAI covers a broad range of AI topics, including machine learning, natural language processing, robotics, and multi-agent systems.

Publisher:

The conference proceedings are published by the International Joint Conferences on Artificial Intelligence Organization.

History:

Established in 1969, IJCAI is one of the oldest and most prestigious AI conferences, held biennially.

Contribution:

IJCAI has played a pivotal role in advancing AI research, providing a platform for presenting innovative work and fostering collaboration among researchers.

4. ACL (Annual Meeting of the Association for Computational Linguistics)

Scope:

ACL covers a wide range of topics in computational linguistics, including machine translation, information retrieval, and speech processing.

Publisher:

The conference proceedings are published by the Association for Computational Linguistics (ACL).

History:

Established in 1962, ACL is one of the oldest and most prestigious conferences in computational linguistics, attracting researchers and practitioners from around the world.

Contribution:

ACL has significantly contributed to the advancement of computational linguistics by presenting cutting-edge research, fostering collaboration, and promoting interdisciplinary approaches.

5. KDD (Knowledge Discovery and Data Mining)

Scope:

KDD focuses on data mining, knowledge discovery, and big data analytics. It covers topics such as data preprocessing, pattern recognition, and machine learning.

Publisher:

The conference proceedings are published by the Association for Computing Machinery (ACM).

History:

Established in 1989, KDD has become one of the leading conferences in data mining and knowledge discovery, attracting researchers and practitioners from around the world.

Contribution:

KDD has played a crucial role in advancing data mining research, providing a platform for presenting innovative work and fostering collaboration among researchers.

6. CVPR (Conference on Computer Vision and Pattern Recognition)

Scope:

CVPR focuses on computer vision and pattern recognition, covering topics such as image and video analysis, object recognition, and 3D vision.

Publisher:

The conference proceedings are published by the IEEE Computer Society.

History:

Established in 1983, CVPR has become one of the leading conferences in computer vision, attracting researchers and practitioners from around the world.

Contribution:

CVPR has significantly contributed to the advancement of computer vision by presenting cutting-edge research, fostering collaboration, and promoting interdisciplinary approaches.

7. ECCV (European Conference on Computer Vision)

Scope:

ECCV covers various aspects of computer vision, including image and video analysis, object recognition, and 3D vision.

Publisher:

The conference proceedings are published by Springer in the Lecture Notes in Computer Science (LNCS) series.

History:

Established in 1990, ECCV is one of the premier conferences in computer vision, held biennially.

Contribution:

ECCV has played a crucial role in advancing computer vision research, providing a platform for presenting innovative work and fostering collaboration among researchers.

8. ICASSP (International Conference on Acoustics, Speech, and Signal Processing)

Scope:

ICASSP covers a wide range of topics in signal processing, including speech and audio processing, image and video processing, and machine learning.

Publisher:

The conference proceedings are published by the IEEE Signal Processing Society.

History:

Established in 1976, ICASSP is one of the leading conferences in signal processing, attracting researchers and practitioners from around the world.

Contribution:

ICASSP has significantly contributed to the advancement of signal processing by presenting cutting-edge research, fostering collaboration, and promoting interdisciplinary approaches.

9. ICLR (International Conference on Learning Representations)

Scope:

ICLR focuses on representation learning, including deep learning and unsupervised learning. It covers topics such as neural networks, generative models, and reinforcement learning.

Publisher:

The conference proceedings are published by the International Conference on Learning Representations (ICLR).

History:

Established in 2013, ICLR has quickly become one of the leading conferences in representation learning, attracting researchers and practitioners from around the world.

Contribution:

ICLR has significantly contributed to the advancement of representation learning by presenting cutting-edge research, fostering collaboration, and promoting interdisciplinary approaches.

10. EMNLP (Conference on Empirical Methods in Natural Language Processing)

Scope:

EMNLP focuses on natural language processing (NLP), covering topics such as machine translation, sentiment analysis, and information retrieval.

Publisher:

The conference proceedings are published by the Association for Computational Linguistics (ACL).

History:

Established in 1996, EMNLP has become one of the leading conferences in NLP, attracting researchers and practitioners from around the world.

Contribution:

EMNLP has significantly contributed to the advancement of NLP by presenting cutting-edge research, fostering collaboration, and promoting interdisciplinary approaches.

11. NAACL (North American Chapter of the Association for Computational Linguistics)

Scope:

NAACL covers various aspects of computational linguistics, including machine translation, information retrieval, and speech processing.

Publisher:

The conference proceedings are published by the Association for Computational Linguistics (ACL).

History:

Established in 2000, NAACL has become one of the leading conferences in computational linguistics, attracting researchers and practitioners from around the world.

Contribution:

NAACL has played a crucial role in advancing computational linguistics research, providing a platform for presenting innovative work and fostering collaboration among researchers.

12. INTAP (International Conference on Intelligent Technologies and Applications)

Scope:

INTAP covers modern topics in intelligent technologies, including Geneartive AI, LLM models, machine learning, robotics, IoT, and decision support systems.

Publisher:

The conference proceedings are published by Springer in the Communications in Computer and Information Science (CCIS) series.

History:

INTAP has been held in various locations, including Pakistan and Norway, and has grown in popularity and prestige over the years, attracting participants from around the world.

Contribution:

INTAP has significantly contributed to the field of intelligent technologies by providing a platform for the dissemination of cutting-edge research, promoting interdisciplinary collaboration, and highlighting innovative applications of AI and machine learning.

13. ICMLA (International Conference on Machine Learning and Applications)

Scope:

ICMLA covers various aspects of machine learning, including supervised and unsupervised learning, reinforcement learning, and applications of machine learning in different domains.

Publisher:

The conference proceedings are published by the Institute of Electrical and Electronics Engineers (IEEE).

History:

Established in 2002, ICMLA has become a prominent conference in the field of machine learning, attracting researchers and practitioners from around the world.

Contribution:

ICMLA has significantly contributed to the advancement of machine learning by presenting cutting-edge research, fostering collaboration, and promoting interdisciplinary approaches.

14. ICANN (International Conference on Artificial Neural Networks)

Scope:

ICANN focuses on artificial neural networks, covering topics such as deep learning, reinforcement learning, and neural network architectures.

Publisher:

The conference proceedings are published by Springer in the Lecture Notes in Computer Science (LNCS) series.

History:

Established in 1991, ICANN has become one of the leading conferences in neural networks, attracting researchers and practitioners from around the world.

Contribution:

ICANN has significantly contributed to the advancement of neural network research by presenting cutting-edge work, fostering collaboration, and promoting interdisciplinary approaches.

15. NeurIPS (Neural Information Processing Systems)

Scope:

NeurIPS is one of the premier conferences on machine learning and computational neuroscience. It serves as a platform for sharing the latest findings, exchanging ideas, and collaborating on cutting-edge research in these fields.

Publisher:

The conference proceedings are published by the Neural Information Processing Systems Foundation.

History:

Established in 1987, NeurIPS has grown to become one of the most influential conferences in AI, attracting researchers and practitioners from around the world.

Contribution:

NeurIPS has significantly contributed to the advancement of AI by presenting groundbreaking research, fostering collaboration, and promoting interdisciplinary approaches.

16. AISTATS (International Conference on Artificial Intelligence and Statistics)

Scope:

AISTATS covers the intersection of AI and statistics, including machine learning, data analysis, and statistical modeling.

Publisher:

The conference proceedings are published by the International Society for Artificial Intelligence and Statistics (ISAI).

History:

Established in 1985, AISTATS has become one of the leading conferences in AI and statistics, attracting researchers and practitioners from around the world.

Contribution:

AISTATS has played a crucial role in advancing AI and statistics research, providing a platform for presenting innovative work and fostering collaboration among researchers.

17. UAI (Conference on Uncertainty in Artificial Intelligence)

Scope:

UAI focuses on the management of uncertainty in AI, covering topics such as probabilistic reasoning, decision theory, and machine learning.

Publisher:

The conference proceedings are published by the Association for Uncertainty in Artificial Intelligence (AUAI).

History:

Established in 1985, UAI has become one of the leading conferences in uncertainty in AI, attracting researchers and practitioners from around the world.

Contribution:

UAI has significantly contributed to the advancement of uncertainty in AI by presenting cutting-edge research, fostering collaboration, and promoting interdisciplinary approaches.

18. COLT (Conference on Learning Theory)

Scope:

COLT focuses on theoretical aspects of machine learning, including learning algorithms, statistical learning theory, and computational learning theory.

Publisher:

The conference proceedings are published by the Association for Computing Machinery (ACM).

History:

Established in 1988, COLT has become one of the leading conferences in learning theory, attracting researchers and practitioners from around the world.

Contribution:

COLT has played a crucial role in advancing learning theory research, providing a platform for presenting innovative work and fostering collaboration among researchers.

19. IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems)

Scope:

IROS focuses on robotics and intelligent systems, covering topics such as robot perception, motion planning, and human-robot interaction.

Publisher:

The conference proceedings are published by the IEEE Robotics and Automation Society.

History:

Established in 1988, IROS has become one of the leading conferences in robotics, attracting researchers and practitioners from around the world.

Contribution:

IROS has played a crucial role in advancing robotics research, providing a platform for presenting innovative work and fostering collaboration among researchers.

20. WACV (Winter Conference on Applications of Computer Vision)

Scope:

WACV focuses on applications of computer vision, covering topics such as image and video analysis, object recognition, and computer vision in practical settings.

Publisher:

The conference proceedings are published by the IEEE Computer Society.

History:

Established in 1993, WACV has become a leading conference in computer vision, attracting researchers and practitioners from around the world.

Contribution:

WACV has played a crucial role in advancing computer vision research, providing a platform for presenting innovative work and fostering collaboration among researchers.