{"list":"other","total":69,"rows":[{"id":"1703.04730","title":"Understanding Black-box Predictions via Influence Functions","created":"2017-03-14","cited_by_count":1741},{"id":"2006.05525","title":"Knowledge Distillation: A Survey","created":"2020-06-09","cited_by_count":1603},{"id":"1702.05747","title":"A Survey on Deep Learning in Medical Image Analysis","created":"2017-02-19","cited_by_count":1186},{"id":"1606.03490","title":"The Mythos of Model Interpretability","created":"2016-06-10","cited_by_count":721},{"id":"1607.08221","title":"MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition","created":"2016-07-27","cited_by_count":624},{"id":"1411.4389","title":"Long-term Recurrent Convolutional Networks for Visual Recognition and Description","created":"2014-11-17","cited_by_count":484},{"id":"1611.04558","title":"Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation","created":"2016-11-14","cited_by_count":469},{"id":"1708.08987","title":"Deep Learning for Medical Image Analysis","created":"2017-08-17","cited_by_count":401},{"id":"1312.4659","title":"DeepPose: Human Pose Estimation via Deep Neural Networks","created":"2013-12-17","cited_by_count":305},{"id":"1408.5093","title":"Caffe: Convolutional Architecture for Fast Feature Embedding","created":"2014-06-20","cited_by_count":288},{"id":"1801.07860","title":"Scalable and accurate deep learning for electronic health records","created":"2018-01-24","cited_by_count":280},{"id":"1804.06655","title":"Deep Face Recognition: A Survey","created":"2018-04-18","cited_by_count":276},{"id":"1708.02709","title":"Recent Trends in Deep Learning Based Natural Language Processing","created":"2017-08-09","cited_by_count":263},{"id":"1901.06314","title":"Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data","created":"2019-01-18","cited_by_count":262},{"id":"1812.03372","title":"What is the Effect of Importance Weighting in Deep Learning?","created":"2018-12-08","cited_by_count":251},{"id":"1503.01057","title":"Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)","created":"2015-03-03","cited_by_count":177},{"id":"1903.04527","title":"Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control","created":"2019-03-11","cited_by_count":164},{"id":"1807.11809","title":"Deep learning in agriculture: A survey","created":"2018-07-31","cited_by_count":160},{"id":"1707.03502","title":"Deep Learning for Sensor-based Activity Recognition: A Survey","created":"2017-07-12","cited_by_count":133},{"id":"1701.01779","title":"Towards Accurate Multi-person Pose Estimation in the Wild","created":"2017-01-06","cited_by_count":131},{"id":"1710.11431","title":"Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling","created":"2017-10-31","cited_by_count":131},{"id":"1711.10604","title":"TensorFlow Distributions","created":"2017-11-28","cited_by_count":106},{"id":"1910.13796","title":"Deep Learning vs. Traditional Computer Vision","created":"2019-10-30","cited_by_count":94},{"id":"2002.05786","title":"Deep Learning for Financial Applications : A Survey","created":"2020-02-09","cited_by_count":91},{"id":"1803.09722","title":"3D Human Pose Estimation in the Wild by Adversarial Learning","created":"2018-03-26","cited_by_count":86},{"id":"2008.09586","title":"An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation","created":"2020-08-21","cited_by_count":81},{"id":"2104.04883","title":"Graph Representation Learning in Biomedicine","created":"2021-04-11","cited_by_count":80},{"id":"2001.04758","title":"Deep Audio-Visual Learning: A Survey","created":"2020-01-14","cited_by_count":69},{"id":"1712.04695","title":"UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition","created":"2017-12-13","cited_by_count":62},{"id":"2006.01423","title":"Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods","created":"2020-06-02","cited_by_count":59},{"id":"1908.03673","title":"Recent Advances in Deep Learning for Object Detection","created":"2019-08-10","cited_by_count":50},{"id":"1906.05394","title":"Neural Arabic Question Answering","created":"2019-06-12","cited_by_count":48},{"id":"1509.02634","title":"Semantic Image Segmentation via Deep Parsing Network","created":"2015-09-09","cited_by_count":44},{"id":"1611.06204","title":"Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks","created":"2016-11-18","cited_by_count":44},{"id":"1705.00393","title":"Level Playing Field for Million Scale Face Recognition","created":"2017-05-01","cited_by_count":43},{"id":"2108.11510","title":"Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey","created":"2021-08-25","cited_by_count":43},{"id":"1611.01484","title":"UMDFaces: An Annotated Face Dataset for Training Deep Networks","created":"2016-11-04","cited_by_count":42},{"id":"2109.12575","title":"Paradigm Shift in Natural Language Processing","created":"2021-09-26","cited_by_count":39},{"id":"1711.08362","title":"RGB-D-based Human Motion Recognition with Deep Learning: A Survey","created":"2017-10-31","cited_by_count":37},{"id":"1804.03487","title":"Exploring Disentangled Feature Representation Beyond Face Identification","created":"2018-04-10","cited_by_count":36},{"id":"1605.07869","title":"Variational Neural Machine Translation","created":"2016-05-25","cited_by_count":35},{"id":"1702.04528","title":"A deep learning model integrating FCNNs and CRFs for brain tumor segmentation","created":"2017-02-15","cited_by_count":35},{"id":"1709.08243","title":"A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement","created":"2017-09-24","cited_by_count":34},{"id":"2004.04373","title":"A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications","created":"2020-04-09","cited_by_count":33},{"id":"1602.00357","title":"DeepCare: A Deep Dynamic Memory Model for Predictive Medicine","created":"2016-02-01","cited_by_count":32},{"id":"1809.01124","title":"Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering","created":"2018-09-04","cited_by_count":30},{"id":"1908.00213","title":"Chainer: A Deep Learning Framework for Accelerating the Research Cycle","created":"2019-08-01","cited_by_count":22},{"id":"2203.15402","title":"Physics-informed deep-learning applications to experimental fluid mechanics","created":"2022-03-29","cited_by_count":21},{"id":"1608.07249","title":"Benchmarking State-of-the-Art Deep Learning Software Tools","created":"2016-08-25","cited_by_count":17},{"id":"1711.02132","title":"Weighted Transformer Network for Machine Translation","created":"2017-11-06","cited_by_count":16},{"id":"1904.09274","title":"Deep Learning on Mobile Devices - A Review","created":"2019-03-21","cited_by_count":16},{"id":"1608.00612","title":"Structured prediction models for RNN based sequence labeling in clinical text","created":"2016-08-01","cited_by_count":13},{"id":"1707.03717","title":"Using Transfer Learning for Image-Based Cassava Disease Detection","created":"2017-06-19","cited_by_count":12},{"id":"1903.00342","title":"Deep learning in bioinformatics: introduction, application, and perspective in big data era","created":"2019-02-28","cited_by_count":12},{"id":"2004.11848","title":"Deep learning for smart fish farming: applications, opportunities and challenges","created":"2020-04-06","cited_by_count":12},{"id":"2008.13222","title":"Improved Lite Audio-Visual Speech Enhancement","created":"2020-08-30","cited_by_count":12},{"id":"2002.04027","title":"On Cross-Corpus Generalization of Deep Learning Based Speech Enhancement","created":"2020-02-10","cited_by_count":11},{"id":"2201.02490","title":"Audio representations for deep learning in sound synthesis: A review","created":"2022-01-07","cited_by_count":9},{"id":"1606.04199","title":"Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation","created":"2016-06-14","cited_by_count":8},{"id":"1904.01576","title":"BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services","created":"2019-04-02","cited_by_count":6},{"id":"1608.00647","title":"Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests","created":"2016-08-02","cited_by_count":4},{"id":"1811.09732","title":"TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments","created":"2018-11-24","cited_by_count":4},{"id":"1506.00619","title":"Blocks and Fuel: Frameworks for deep learning","created":"2015-06-01","cited_by_count":3},{"id":"1807.05838","title":"Assessing fish abundance from underwater video using deep neural networks","created":"2018-07-16","cited_by_count":3},{"id":"2009.12591","title":"ProDOMA: improve PROtein DOMAin classification for third-generation sequencing reads using deep learning","created":"2020-09-26","cited_by_count":3},{"id":"1308.4214","title":"Pylearn2: a machine learning research library","created":"2013-08-20","cited_by_count":2},{"id":"1605.00017","title":"deepMiRGene: Deep Neural Network based Precursor microRNA Prediction","created":"2016-04-29","cited_by_count":2},{"id":"2009.11429","title":"Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks","created":"2020-09-24","cited_by_count":2},{"id":"2011.02030","title":"PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch","created":"2020-11-03","cited_by_count":2}],"next_cursor":null}