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09/12/2022
Meta-learning Causal Discovery
Causal discovery (CD) from time-varying data is important in neuroscienc...
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03/10/2021
A critical reappraisal of predicting suicidal ideation using fMRI
For many psychiatric disorders, neuroimaging offers a potential for revo...
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03/04/2020
MoVi: A Large Multipurpose Motion and Video Dataset
Human movements are both an area of intense study and the basis of many ...
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12/06/2019
End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition
Modern computer vision (CV) is often based on convolutional neural netwo...
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07/01/2019
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning
Claims are a fundamental unit of scientific discourse. The exponential g...
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05/30/2019
Rarely-switching linear bandits: optimization of causal effects for the real world
Exploring the effect of policies in many real world scenarios is difficu...
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05/21/2018
Measuring and regularizing networks in function space
Neural network optimization is often conceptualized as optimizing parame...
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02/05/2018
The Social Structure of Consensus in Scientific Review
Personal connections between creators and evaluators of scientific works...
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09/13/2017
Exploiting skeletal structure in computer vision annotation with Benders decomposition
Many annotation problems in computer vision can be phrased as integer li...
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07/19/2017
Meaningless comparisons lead to false optimism in medical machine learning
A new trend in medicine is the use of algorithms to analyze big datasets...
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02/05/2016
Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes
Finding efficient and provable methods to solve non-convex optimization ...
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07/15/2014
Automatic discovery of cell types and microcircuitry from neural connectomics
Neural connectomics has begun producing massive amounts of data, necessi...
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02/03/2014