Conference on Automated Learning and Discovery
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| Conference on Automated Learning and Discovery | |
|---|---|
| Name | Conference on Automated Learning and Discovery |
| Status | Active |
| Genre | Academic conference |
| Discipline | Machine learning |
| Frequency | Annual |
| Country | International |
| First | 1990s |
| Organizer | Research institutions and professional societies |
Conference on Automated Learning and Discovery
The Conference on Automated Learning and Discovery is an international scholarly meeting bringing together researchers from Stanford University, Massachusetts Institute of Technology, Carnegie Mellon University, University of California, Berkeley, University of Oxford, University of Cambridge and other institutions to present advances in automated inference, induction, and discovery. Participants include scientists from Google Research, DeepMind, Microsoft Research, IBM Research and laboratories affiliated with Amazon, Facebook, Apple and national laboratories such as Lawrence Berkeley National Laboratory and Sandia National Laboratories. The program typically features contributions by faculty from Princeton University, Harvard University, Yale University, Columbia University, University of Toronto, University of Washington, ETH Zurich, École Polytechnique Fédérale de Lausanne, Peking University, Tsinghua University and industry leaders from NVIDIA, Intel, AMD.
History
The conference traces roots to early workshops and symposia linked with Association for the Advancement of Artificial Intelligence, International Joint Conferences on Artificial Intelligence, NeurIPS, ICML, AAAI Conference on Artificial Intelligence and the European Conference on Machine Learning during the 1990s. Founding contributors included researchers from Bell Labs, SRI International, AT&T Labs Research, Siemens AG research centers, and university groups at University of Pennsylvania, University of California, San Diego, University of Illinois Urbana–Champaign and University of Michigan. Over time it developed formal ties with societies such as IEEE, ACM, Royal Society, National Academy of Sciences and funding agencies including National Science Foundation, European Research Council and Defense Advanced Research Projects Agency.
Scope and Topics
The conference covers automated methods spanning algorithmic induction, hypothesis generation, symbolic learning, statistical learning, causal discovery and automated experimentation. Typical topic areas relate to work from Geoffrey Hinton-associated paradigms at University of Toronto, Yoshua Bengio-linked research at Université de Montréal, and contributions reflecting themes from Judea Pearl and groups at UCLA and University of California, Los Angeles. Research presented often interfaces with projects at Broad Institute, Cold Spring Harbor Laboratory, Wellcome Trust Sanger Institute, European Molecular Biology Laboratory and observatories such as European Southern Observatory for data-driven discovery. Cross-disciplinary applications connect to labs at NASA, European Space Agency, CERN, Fermilab and utilities like Siemens Energy.
Organization and Governance
Organizing committees typically include academics from University of Edinburgh, University of Maryland, Imperial College London, King's College London and representatives from Allen Institute for AI, Chan Zuckerberg Initiative, Wellcome Trust and corporate R&D groups at Qualcomm and ARM Holdings. Steering committees have had members from Royal Society of Edinburgh, Institute of Electrical and Electronics Engineers, Association for Computing Machinery and editorial boards of journals such as Journal of Machine Learning Research, Nature Machine Intelligence, Science Advances and Communications of the ACM. Workshops and tutorials are chaired by researchers affiliated with KTH Royal Institute of Technology, Delft University of Technology, University of Sydney and University of Melbourne.
Conferences and Proceedings
Proceedings are published in collaboration with series and venues associated with Springer, Elsevier, IEEE Xplore, ACM Digital Library and occasionally special issues in Nature, Science and PNAS. Meetings have been hosted at venues including Boston Convention and Exhibition Center, Moscone Center, ExCeL London, Palais des Congrès de Paris, Beijing National Convention Center and university campuses such as MIT Media Lab and Stanford Graduate School of Business. Historical programs feature panels with participants from European Commission, Japan Science and Technology Agency, Australian Research Council and multinational consortia like Human Genome Project collaborators.
Notable Papers and Contributions
Key contributions presented include advances in inductive logic programming from groups at University of Oxford and University of Bristol, causal inference frameworks influenced by Judea Pearl and researchers at Columbia University and algorithmic advances later used by Google DeepMind in reinforcement learning. Other influential works tied to the conference cover automated hypothesis generation used by teams at Los Alamos National Laboratory, data-mining applications applied at Goldman Sachs, and bioinformatics pipelines adopted by Broad Institute researchers. Papers have influenced protocols at World Health Organization task forces, standards discussions at ISO, and methods used by European Medicines Agency and Food and Drug Administration reviewers.
Awards and Recognition
The conference recognizes outstanding contributions through awards often sponsored by Google, Microsoft, IBM, ACM SIGAI, IEEE Technical Committee on AI and philanthropic partners such as Alfred P. Sloan Foundation and Simons Foundation. Distinguished lectures have been delivered by laureates associated with Turing Award winners, elected fellows of Royal Society, members of National Academy of Engineering and National Academy of Sciences. Young researcher prizes are adjudicated with input from committees tied to Royal Society fellowship networks and departmental awards at University College London and University of California, Los Angeles.
Related Events and Collaborations
Collaborations connect the conference to workshops and satellite events at NeurIPS, ICML, AAAI Conference on Artificial Intelligence, European Conference on Artificial Intelligence, KDD, IJCAI, SIGKDD, EMNLP, ICLR, CVPR, ACL and symposia organized by Royal Institution and Science Museum Group. Joint initiatives have linked it with consortia including OpenAI, Partnership on AI, AI Now Institute, Center for Security and Emerging Technology and international initiatives like Global Partnership on AI.