{"list":"other","total":58,"rows":[{"id":"1610.02391","title":"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization","created":"2016-10-07","cited_by_count":6733},{"id":"1602.04938","title":"\"Why Should I Trust You?\": Explaining the Predictions of Any Classifier","created":"2016-02-16","cited_by_count":5070},{"id":"1505.00468","title":"VQA: Visual Question Answering","created":"2015-05-03","cited_by_count":2506},{"id":"1612.06890","title":"CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning","created":"2016-12-20","cited_by_count":1457},{"id":"1810.03292","title":"Sanity Checks for Saliency Maps","created":"2018-10-08","cited_by_count":1156},{"id":"1802.08218","title":"VizWiz Grand Challenge: Answering Visual Questions from Blind People","created":"2018-02-22","cited_by_count":858},{"id":"1705.08821","title":"Causal Effect Inference with Deep Latent-Variable Models","created":"2017-05-24","cited_by_count":410},{"id":"1902.10178","title":"Unmasking Clever Hans Predictors and Assessing What Machines Really Learn","created":"2019-02-26","cited_by_count":365},{"id":"1706.01427","title":"A simple neural network module for relational reasoning","created":"2017-06-05","cited_by_count":346},{"id":"1711.08496","title":"Temporal Relational Reasoning in Videos","created":"2017-11-22","cited_by_count":324},{"id":"2003.07333","title":"RSVQA: Visual Question Answering for Remote Sensing Data","created":"2020-03-16","cited_by_count":203},{"id":"1910.02806","title":"Learning De-biased Representations with Biased Representations","created":"2019-10-07","cited_by_count":199},{"id":"1510.03743","title":"Wide-Area Image Geolocalization with Aerial Reference Imagery","created":"2015-10-13","cited_by_count":186},{"id":"1802.08129","title":"Multimodal Explanations: Justifying Decisions and Pointing to the Evidence","created":"2018-02-15","cited_by_count":179},{"id":"1612.08544","title":"Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data","created":"2016-12-27","cited_by_count":171},{"id":"1905.08883","title":"Explainable Machine Learning for Scientific Insights and Discoveries","created":"2019-05-21","cited_by_count":166},{"id":"1901.10912","title":"A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms","created":"2019-01-30","cited_by_count":158},{"id":"1710.11431","title":"Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling","created":"2017-10-31","cited_by_count":131},{"id":"1710.03959","title":"Deep learning in remote sensing: a review","created":"2017-10-11","cited_by_count":128},{"id":"2005.03860","title":"Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching","created":"2020-05-08","cited_by_count":126},{"id":"1807.10300","title":"Discovering physical concepts with neural networks","created":"2018-07-26","cited_by_count":117},{"id":"2006.04096","title":"Robust Learning Through Cross-Task Consistency","created":"2020-06-07","cited_by_count":105},{"id":"1711.04203","title":"Building machines that adapt and compute like brains","created":"2017-11-11","cited_by_count":99},{"id":"1711.07970","title":"Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge","created":"2017-11-21","cited_by_count":96},{"id":"1904.11045","title":"Bridging the Domain Gap for Ground-to-Aerial Image Matching","created":"2019-04-24","cited_by_count":95},{"id":"1907.05021","title":"Optimal Feature Transport for Cross-View Image Geo-Localization","created":"2019-07-11","cited_by_count":91},{"id":"1903.06496","title":"MFAS: Multimodal Fusion Architecture Search","created":"2019-03-15","cited_by_count":84},{"id":"1609.05566","title":"Label-Free Supervision of Neural Networks with Physics and Domain Knowledge","created":"2016-09-18","cited_by_count":74},{"id":"1904.10674","title":"Deep Learning for Classification of Hyperspectral Data: A Comparative Review","created":"2019-04-24","cited_by_count":51},{"id":"1907.10882","title":"Interpretability Beyond Classification Output: Semantic Bottleneck Networks","created":"2019-07-25","cited_by_count":49},{"id":"1710.05578","title":"Fair Kernel Learning","created":"2017-10-16","cited_by_count":39},{"id":"1802.09026","title":"Building Instance Classification Using Street View Images","created":"2018-02-25","cited_by_count":33},{"id":"1904.05730","title":"A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes","created":"2019-04-11","cited_by_count":33},{"id":"1706.00932","title":"See, Hear, and Read: Deep Aligned Representations","created":"2017-06-03","cited_by_count":32},{"id":"2007.06277","title":"OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing","created":"2020-07-13","cited_by_count":30},{"id":"1905.01752","title":"Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution","created":"2019-05-05","cited_by_count":26},{"id":"1904.13270","title":"Country-wide high-resolution vegetation height mapping with Sentinel-2","created":"2019-04-30","cited_by_count":22},{"id":"2003.07631","title":"Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications","created":"2020-03-17","cited_by_count":22},{"id":"1808.10002","title":"Interpretable Intuitive Physics Model","created":"2018-08-29","cited_by_count":19},{"id":"2006.08432","title":"SD-RSIC: Summarization Driven Deep Remote Sensing Image Captioning","created":"2020-06-15","cited_by_count":19},{"id":"2012.05795","title":"Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources","created":"2020-12-07","cited_by_count":19},{"id":"2001.11394","title":"ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos","created":"2020-01-30","cited_by_count":18},{"id":"2012.14885","title":"Learning a Dynamic Map of Visual Appearance","created":"2020-12-29","cited_by_count":18},{"id":"1708.03035","title":"A Unified Model for Near and Remote Sensing","created":"2017-08-09","cited_by_count":14},{"id":"2009.08720","title":"Contextual Semantic Interpretability","created":"2020-09-18","cited_by_count":14},{"id":"2012.07986","title":"Physics-Aware Gaussian Processes in Remote Sensing","created":"2020-12-07","cited_by_count":14},{"id":"1612.03142","title":"Understanding and Mapping Natural Beauty","created":"2016-12-09","cited_by_count":10},{"id":"1705.08101","title":"Towards seamless multi-view scene analysis from satellite to street-level","created":"2017-05-23","cited_by_count":10},{"id":"1909.08442","title":"Semantically Interpretable Activation Maps: what-where-how explanations within CNNs","created":"2019-09-18","cited_by_count":10},{"id":"1909.07499","title":"Learning Geo-Temporal Image Features","created":"2019-09-16","cited_by_count":9},{"id":"2007.06749","title":"Water level prediction from social media images with a multi-task ranking approach","created":"2020-07-14","cited_by_count":8},{"id":"2012.05150","title":"Causal Inference in Geoscience and Remote Sensing from Observational Data","created":"2020-12-07","cited_by_count":8},{"id":"1806.05129","title":"What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks","created":"2018-06-13","cited_by_count":6},{"id":"2010.09031","title":"Living in the Physics and Machine Learning Interplay for Earth Observation","created":"2020-10-18","cited_by_count":4},{"id":"2005.08449","title":"Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition","created":"2020-05-18","cited_by_count":3},{"id":"1605.04774","title":"A Biased Review of Biases in Twitter Studies on Political Collective Action","created":"2016-05-16","cited_by_count":2},{"id":"1609.06772","title":"Spatio-Temporal Sentiment Hotspot Detection Using Geotagged Photos","created":"2016-09-21","cited_by_count":2},{"id":"1906.11907","title":"An unsupervised approach to Geographical Knowledge Discovery using street level and street network images","created":"2019-06-18","cited_by_count":2}],"next_cursor":null}