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Our take on ICLR 2022 - Part 2
ICLR is one of the most important and prestigious conferences in the ML community. It spans all ML topics, from embeddings to Graph neural …
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Natural Posterior Networks
A new way to train neural networks using the exponential family for estimates of predictive uncertainty.
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Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
A new minimax optimization scheme to learn complex and long range associations between the points in a time series. Associations are used …
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Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
This paper proposes a new algorithm, curvatureEG+, that converges for a broader range of weak minty variational inequalities.
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Graph Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
A new method for simultaneously detecting anomalies across multiple time series. The structure of a Bayesian network is learned as the …
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GreaseLM: Graph REASoning Enhanced Language Models
Capabilities of large language models and massive knowledge graphs are combined through a novel layer-wise interaction between the language …
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