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08/08/2022
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
The performance of trained neural networks is robust to harsh levels of ...
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03/21/2022
Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL
In reinforcement learning, the graph Laplacian has proved to be a valuab...
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01/12/2018
A3T: Adversarially Augmented Adversarial Training
Recent research showed that deep neural networks are highly sensitive to...
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05/21/2017
Image Segmentation by Iterative Inference from Conditional Score Estimation
Inspired by the combination of feedforward and iterative computations in...
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12/19/2016