Vector Institute Researchers Prepare for Virtual NeurIPS 2020 Conference
The Vector Institute for Artificial Intelligence announces that its research community is preparing for the 34th annual Conference on Neural Information Processing Systems (NeurIPS) 2020. Originally scheduled to take place in Vancouver, British Columbia, the premier machine learning conference has been shifted to a virtual format running from December 6-12, 2020, due to prevailing circumstances. The event will feature invited talks, demonstrations, symposia, and presentations of refereed papers. The article highlights specific contributions from Vector-affiliated researchers, including work on adaptive gradient quantization for data-parallel SGD, implicit function learning for parametric modal regression, and causal discovery in physical systems from videos. These studies involve collaborations with institutions such as the University of Toronto, University of Alberta, MIT, and NVIDIA. The Vector Institute emphasizes its growing research community and invites affiliated researchers to ensure their work is represented. This announcement serves to showcase the institute's active participation and significant academic contributions to the field of artificial intelligence and machine learning on a global stage during a major industry event.
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Vector Institute Researchers Prepare for Virtual NeurIPS 2020 Conference
The Vector Institute for Artificial Intelligence announces that its research community is preparing for the 34th annual Conference on Neural Information Processing Systems (NeurIPS) 2020. Originally scheduled to take place in Vancouver, British Columbia, the premier machine learning conference has been shifted to a virtual format running from December 6-12, 2020, due to prevailing circumstances. The event will feature invited talks, demonstrations, symposia, and presentations of refereed papers. The article highlights specific contributions from Vector-affiliated researchers, including work on adaptive gradient quantization for data-parallel SGD, implicit function learning for parametric modal regression, and causal discovery in physical systems from videos. These studies involve collaborations with institutions such as the University of Toronto, University of Alberta, MIT, and NVIDIA. The Vector Institute emphasizes its growing research community and invites affiliated researchers to ensure their work is represented. This announcement serves to showcase the institute's active participation and significant academic contributions to the field of artificial intelligence and machine learning on a global stage during a major industry event.
Vector Institute for Artificial Intelligence