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08/22/2023
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Generating video stories from text prompts is a complex task. In additio...
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10/05/2022
Phenaki: Variable Length Video Generation From Open Domain Textual Description
We present Phenaki, a model capable of realistic video synthesis, given ...
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04/25/2022
When adversarial examples are excusable
Neural networks work remarkably well in practice and theoretically they ...
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04/15/2022
Resource-Constrained Neural Architecture Search on Tabular Datasets
The best neural architecture for a given machine learning problem depend...
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08/18/2020
Discovering Multi-Hardware Mobile Models via Architecture Search
Developing efficient models for mobile phones or other on-device deploym...
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08/13/2020
Can weight sharing outperform random architecture search? An investigation with TuNAS
Efficient Neural Architecture Search methods based on weight sharing hav...
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04/30/2020
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
Inverted bottleneck layers, which are built upon depthwise convolutions,...
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03/24/2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
Neural architecture search (NAS) has shown promising results discovering...
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12/02/2019
Neural Predictor for Neural Architecture Search
Neural Architecture Search methods are effective but often use complex a...
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08/13/2018
iNNvestigate neural networks!
In recent years, deep neural networks have revolutionized many applicati...
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08/08/2018
Backprop Evolution
The back-propagation algorithm is the cornerstone of deep learning. Desp...
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06/28/2018
Evaluating Feature Importance Estimates
Estimating the influence of a given feature to a model prediction is cha...
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11/02/2017
The (Un)reliability of saliency methods
Saliency methods aim to explain the predictions of deep neural networks....
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11/01/2017
Don't Decay the Learning Rate, Increase the Batch Size
It is common practice to decay the learning rate. Here we show one can u...
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06/26/2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Deep learning has the potential to revolutionize quantum chemistry as it...
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05/16/2017
