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02/16/2022
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
Pruning neural networks at initialization would enable us to find sparse...
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12/01/2021
Decomposing Representations for Deterministic Uncertainty Estimation
Uncertainty estimation is a key component in any deployed machine learni...
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11/03/2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Estimating personalized treatment effects from high-dimensional observat...
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10/29/2021
Deep Deterministic Uncertainty for Semantic Segmentation
We extend Deep Deterministic Uncertainty (DDU), a method for uncertainty...
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06/04/2021
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective
ResNets constrained to be bi-Lipschitz, that is, approximately distance ...
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02/23/2021
Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
We show that a single softmax neural net with minimal changes can beat t...
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02/22/2021
Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression
We propose a new model that estimates uncertainty in a single forward pa...
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07/01/2020
Single Shot Structured Pruning Before Training
We introduce a method to speed up training by 2x and inference by 3x in ...
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03/04/2020
Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network
We propose a method for training a deterministic deep model that can fin...
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06/19/2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
We develop BatchBALD, a tractable approximation to the mutual informatio...
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02/11/2019
Deep Hashing using Entropy Regularised Product Quantisation Network
In large scale systems, approximate nearest neighbour search is a crucia...
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11/16/2017
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks
Frame interpolation attempts to synthesise intermediate frames given one...
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01/29/2017
