Showing 1–19 of 19 results
/ Date/ Name
Apr 25, 2022When adversarial examples are excusableMay 16, 2017Learning how to explain neural networks: PatternNet and PatternAttributionDec 2, 2019Neural Predictor for Neural Architecture SearchNov 22, 2016Investigating the influence of noise and distractors on the interpretation of neural networksNov 2, 2017The (Un)reliability of saliency methodsAug 13, 2018iNNvestigate neural networks!Jun 26, 2017SchNet: A continuous-filter convolutional neural network for modeling quantum interactionsApr 30, 2020MobileDets: Searching for Object Detection Architectures for Mobile AcceleratorsDec 17, 2017SchNet - a deep learning architecture for molecules and materialsAug 18, 2020Discovering Multi-Hardware Mobile Models via Architecture SearchOct 5, 2022Phenaki: Variable Length Video Generation From Open Domain Textual DescriptionAug 22, 2023StoryBench: A Multifaceted Benchmark for Continuous Story VisualizationNov 1, 2017Don't Decay the Learning Rate, Increase the Batch SizeApr 15, 2022TabNAS: Rejection Sampling for Neural Architecture Search on Tabular DatasetsAug 8, 2018Backprop EvolutionJun 28, 2018A Benchmark for Interpretability Methods in Deep Neural NetworksMar 6, 2025What Are You Doing? A Closer Look at Controllable Human Video GenerationAug 13, 2020Can weight sharing outperform random architecture search? An investigation with TuNASMar 24, 2020BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models