04.12.2020
Four Accepted Papers (2 Main, and 2 Workshops)
34th Conference on Neural Information Processing Systems, Virtual, Dec 06-12, 2020
We are happy to announce that MCML researchers have contributed a total of 4 papers to NeurIPS 2020: 2 Main, and 2 Workshop papers. Congrats to our researchers!
Main Track (2 papers)
Reliable Graph Neural Networks via Robust Aggregation.
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. URL
Fast and Flexible Temporal Point Processes with Triangular Maps.
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. URL
Workshops (2 papers)
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering.
SSL @NeurIPS 2020 - Workshop on Self-Supervised Learning - Theory and Practice at the 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. arXiv GitHub
A Variational Quantum Circuit Model for Knowledge Graph Embeddings.
QTNML @NeurIPS 2020 - 1st Workshop on Quantum Tensor Networks in Machine Learning at the 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. PDF
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