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The first NeurIPS Conference was sponsored by the IEEE. [3] The following NeurIPS Conferences have been organized by the NeurIPS Foundation, established by Ed Posner. Terrence Sejnowski has been the president of the NeurIPS Foundation since Posner's death in 1993. The board of trustees consists of previous general chairs of the NeurIPS Conference.
The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. Along with NeurIPS and ICML, it is one of the three primary conferences of high impact in machine learning and artificial intelligence research. [1]
Conferences on databases, information systems, information retrieval, data mining and the World Wide Web: BTW - GI Conference on Database Systems for Business, Technology and Web; CIDR - Conference on Innovative Data Systems Research; CIKM - ACM Conference on Information and Knowledge Management; ECIR - European Conference on Information Retrieval
The International Conference on Machine Learning (ICML) is the leading international academic conference in machine learning. Along with NeurIPS and ICLR, it is one of the three primary conferences of high impact in machine learning and artificial intelligence research. [1] It is supported by the International Machine Learning Society (IMLS).
CADE – Conference on Automated Deduction CAV – Computer Aided Verification CC – International Conference on Compiler Construction CCSC – Consortium for Computing Sciences in Colleges
The AAAI Conference on Artificial Intelligence (AAAI) is a leading international academic conference in artificial intelligence held annually. [1] [2] [3] It ranks 4th in terms of H5 Index in Google Scholar's list of top AI publications, after ICLR, NeurIPS, and ICML. [4] It is supported by the Association for the Advancement of Artificial ...
Black in AI was created in 2017 to address issues of lack of diversity in AI workshops, [4] and was started as its own workshop within the Conference on Neural Information Processing Systems (NeurIPS) conference. [7]
At the 2022 Conference on Neural Information Processing Systems (NeurIPS) he introduced a new learning algorithm for neural networks that he calls the "Forward-Forward" algorithm. The idea of the new algorithm is to replace the traditional forward-backward passes of backpropagation with two forward passes, one with positive (i.e. real) data and ...