Conferences and Workshops
Return to AI research and development
Conference on Neural Information Processing Systems (NeurIPS)
The Conference on Neural Information Processing Systems (NeurIPS) is one of the most prestigious AI and machine learning conferences. This category covers cutting-edge research presented at NeurIPS, including breakthroughs in deep learning, reinforcement learning, and computational neuroscience. NeurIPS is known for its influential papers and high-impact workshops, attracting top researchers and industry professionals.
International Conference on Learning Representations (ICLR)
The International Conference on Learning Representations (ICLR) focuses on advancements in representation learning and deep learning. This category highlights the innovative research and methodologies discussed at ICLR, such as unsupervised learning, generative models, and neural network optimization. ICLR is a key event for discovering new directions in AI research.
International Conference on Machine Learning (ICML)
The International Conference on Machine Learning (ICML) is a premier venue for presenting and discussing advancements in machine learning. This category covers a wide range of topics including algorithmic developments, theoretical insights, and practical applications. ICML attracts a global audience of researchers, practitioners, and students, making it a cornerstone of the ML community.
Association for the Advancement of Artificial Intelligence (AAAI)
The Association for the Advancement of Artificial Intelligence (AAAI) conference is a major event that covers all aspects of AI. This category explores the diverse research presented at AAAI, from foundational theories to innovative applications in fields like robotics, natural language processing, and computer vision. AAAI fosters collaboration and knowledge sharing among AI experts.
Conference on Computer Vision and Pattern Recognition (CVPR)
The Conference on Computer Vision and Pattern Recognition (CVPR) is a leading conference in the field of computer vision. This category discusses the latest research on image and video analysis, object detection, and visual recognition presented at CVPR. The conference is known for its high-quality papers and influential contributions to the field of computer vision.
International Joint Conference on Artificial Intelligence (IJCAI)
The International Joint Conference on Artificial Intelligence (IJCAI) is a long-standing conference that brings together AI researchers from around the world. This category covers a broad spectrum of AI research topics discussed at IJCAI, including knowledge representation, reasoning, and machine learning. IJCAI is celebrated for its interdisciplinary approach and global reach.
Conference on Human-Robot Interaction (HRI)
The Conference on Human-Robot Interaction (HRI) focuses on the study and development of interactive robots. This category explores research on robot behavior, user experience, and collaborative robotics presented at HRI. The conference is essential for those interested in the design and application of robots that work closely with humans.
International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
The International Conference on Autonomous Agents and Multiagent Systems (AAMAS) covers research on autonomous agents and multiagent systems. This category discusses topics such as agent-based modeling, coordination, and decision-making in multiagent environments presented at AAMAS. The conference is key for advancements in distributed AI systems.
Conference on Empirical Methods in Natural Language Processing (EMNLP)
The Conference on Empirical Methods in Natural Language Processing (EMNLP) focuses on empirical and data-driven approaches to NLP. This category highlights research on language models, text generation, and machine translation discussed at EMNLP. The conference is known for its practical impact and contributions to the NLP community.
Symposium on Artificial Intelligence for Social Good (AI4SG)
The Symposium on Artificial Intelligence for Social Good (AI4SG) is dedicated to exploring how AI can address societal challenges. This category covers research on applications of AI in areas like healthcare, education, and environmental sustainability presented at AI4SG. The symposium emphasizes the ethical and social implications of AI technologies.
IEEE International Conference on Robotics and Automation (ICRA)
The IEEE International Conference on Robotics and Automation (ICRA) is a leading event in the robotics field. This category discusses research on robotic systems, automation technologies, and applications in various industries presented at ICRA. The conference is crucial for those interested in the latest advancements in robotics and automation.
International Conference on Artificial Neural Networks (ICANN)
The International Conference on Artificial Neural Networks (ICANN) focuses on neural network research and applications. This category explores topics such as neural network architectures, learning algorithms, and cognitive models discussed at ICANN. The conference is significant for those working on the theoretical and practical aspects of neural networks.
Conference on Artificial Intelligence and Ethics (CAIE)
The Conference on Artificial Intelligence and Ethics (CAIE) addresses the ethical considerations and societal impact of AI technologies. This category covers discussions on bias, fairness, transparency, and accountability in AI systems presented at CAIE. The conference is essential for understanding and addressing the ethical challenges in AI development and deployment.
International Conference on Intelligent Robots and Systems (IROS)
The International Conference on Intelligent Robots and Systems (IROS) is a prominent event in the field of intelligent robotics. This category highlights research on robot perception, navigation, and human-robot interaction presented at IROS. The conference is key for advancements in the development and application of intelligent robotic systems.
Workshop on Reinforcement Learning and Decision Making (RLDM)
The Workshop on Reinforcement Learning and Decision Making (RLDM) focuses on the study and application of reinforcement learning. This category discusses research on RL algorithms, exploration strategies, and real-world applications presented at RLDM. The workshop is important for those interested in the latest developments in reinforcement learning.