{"list":"other","total":65,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"1405.0312","title":"Microsoft COCO: Common Objects in Context","created":"2014-05-01","cited_by_count":17608},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1409.0575","title":"ImageNet Large Scale Visual Recognition Challenge","created":"2014-09-01","cited_by_count":8498},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"1512.00567","title":"Rethinking the Inception Architecture for Computer Vision","created":"2015-12-02","cited_by_count":5475},{"id":"1409.0473","title":"Neural Machine Translation by Jointly Learning to Align and Translate","created":"2014-09-01","cited_by_count":4548},{"id":"1301.3781","title":"Efficient Estimation of Word Representations in Vector Space","created":"2013-01-16","cited_by_count":4375},{"id":"1406.1078","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","created":"2014-06-03","cited_by_count":4057},{"id":"1411.7766","title":"Deep Learning Face Attributes in the Wild","created":"2014-11-28","cited_by_count":3693},{"id":"1710.10196","title":"Progressive Growing of GANs for Improved Quality, Stability, and Variation","created":"2017-10-27","cited_by_count":2988},{"id":"1409.3215","title":"Sequence to Sequence Learning with Neural Networks","created":"2014-09-10","cited_by_count":2986},{"id":"1606.03498","title":"Improved Techniques for Training GANs","created":"2016-06-10","cited_by_count":2970},{"id":"1503.03832","title":"FaceNet: A Unified Embedding for Face Recognition and Clustering","created":"2015-03-12","cited_by_count":2849},{"id":"1602.07332","title":"Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations","created":"2016-02-23","cited_by_count":2656},{"id":"1809.11096","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","created":"2018-09-28","cited_by_count":2626},{"id":"1505.00468","title":"VQA: Visual Question Answering","created":"2015-05-03","cited_by_count":2506},{"id":"1509.01626","title":"Character-level Convolutional Networks for Text Classification","created":"2015-09-04","cited_by_count":2330},{"id":"1704.00028","title":"Improved Training of Wasserstein GANs","created":"2017-03-31","cited_by_count":2235},{"id":"1311.2524","title":"Rich feature hierarchies for accurate object detection and semantic segmentation","created":"2013-11-11","cited_by_count":2162},{"id":"1511.06434","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","created":"2015-11-19","cited_by_count":2054},{"id":"1411.5726","title":"CIDEr: Consensus-based Image Description Evaluation","created":"2014-11-20","cited_by_count":2046},{"id":"1607.02533","title":"Adversarial examples in the physical world","created":"2016-07-08","cited_by_count":1769},{"id":"1802.05957","title":"Spectral Normalization for Generative Adversarial Networks","created":"2018-02-16","cited_by_count":1636},{"id":"1801.01401","title":"Demystifying MMD GANs","created":"2018-01-04","cited_by_count":1293},{"id":"1810.03993","title":"Model Cards for Model Reporting","created":"2018-10-05","cited_by_count":1080},{"id":"1411.4555","title":"Show and Tell: A Neural Image Caption Generator","created":"2014-11-17","cited_by_count":879},{"id":"1806.00035","title":"Assessing Generative Models via Precision and Recall","created":"2018-05-31","cited_by_count":406},{"id":"1910.05789","title":"On the Utility of Learning about Humans for Human-AI Coordination","created":"2019-10-13","cited_by_count":349},{"id":"1608.00187","title":"Visual Relationship Detection with Language Priors","created":"2016-07-31","cited_by_count":334},{"id":"1704.03477","title":"A Neural Representation of Sketch Drawings","created":"2017-04-11","cited_by_count":313},{"id":"1711.10337","title":"Are GANs Created Equal? A Large-Scale Study","created":"2017-11-28","cited_by_count":267},{"id":"1708.02709","title":"Recent Trends in Deep Learning Based Natural Language Processing","created":"2017-08-09","cited_by_count":263},{"id":"1503.01817","title":"YFCC100M: The New Data in Multimedia Research","created":"2015-03-05","cited_by_count":235},{"id":"1801.01973","title":"A Note on the Inception Score","created":"2018-01-06","cited_by_count":226},{"id":"1802.03446","title":"Pros and Cons of GAN Evaluation Measures","created":"2018-02-09","cited_by_count":224},{"id":"1506.05751","title":"Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks","created":"2015-06-18","cited_by_count":214},{"id":"2001.08298","title":"Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems","created":"2020-01-22","cited_by_count":139},{"id":"1508.06615","title":"Character-Aware Neural Language Models","created":"2015-08-26","cited_by_count":132},{"id":"1904.02792","title":"Unifying Human and Statistical Evaluation for Natural Language Generation","created":"2019-04-04","cited_by_count":127},{"id":"1703.10717","title":"BEGAN: Boundary Equilibrium Generative Adversarial Networks","created":"2017-03-31","cited_by_count":121},{"id":"1407.5225","title":"The Rise of Social Bots","created":"2014-07-19","cited_by_count":96},{"id":"1901.00542","title":"Photo-Sketching: Inferring Contour Drawings from Images","created":"2019-01-02","cited_by_count":68},{"id":"2003.02683","title":"SketchyCOCO: Image Generation from Freehand Scene Sketches","created":"2020-03-05","cited_by_count":67},{"id":"1904.01121","title":"HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models","created":"2019-04-01","cited_by_count":59},{"id":"1706.04987","title":"Variational Approaches for Auto-Encoding Generative Adversarial Networks","created":"2017-06-15","cited_by_count":52},{"id":"2007.04979","title":"A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks","created":"2020-07-09","cited_by_count":52},{"id":"2008.02311","title":"Conceptual Metaphors Impact Perceptions of Human-AI Collaboration","created":"2020-08-05","cited_by_count":47},{"id":"1903.11207","title":"Information Maximizing Visual Question Generation","created":"2019-03-27","cited_by_count":40},{"id":"2001.04377","title":"When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans","created":"2020-01-13","cited_by_count":34},{"id":"1808.02473","title":"SketchyScene: Richly-Annotated Scene Sketches","created":"2018-08-07","cited_by_count":32},{"id":"2007.15103","title":"Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval","created":"2020-07-29","cited_by_count":32},{"id":"2008.04524","title":"Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players","created":"2020-08-11","cited_by_count":30},{"id":"2006.09930","title":"CoSE: Compositional Stroke Embeddings","created":"2020-06-17","cited_by_count":26},{"id":"1707.05015","title":"Iris: A Conversational Agent for Complex Tasks","created":"2017-07-17","cited_by_count":22},{"id":"1603.09727","title":"Neural Language Correction with Character-Based Attention","created":"2016-03-31","cited_by_count":18},{"id":"1602.04506","title":"Embracing Error to Enable Rapid Crowdsourcing","created":"2016-02-14","cited_by_count":15},{"id":"1801.02668","title":"Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time","created":"2018-01-08","cited_by_count":10},{"id":"1608.07323","title":"Comparing Speech and Keyboard Text Entry for Short Messages in Two Languages on Touchscreen Phones","created":"2016-08-25","cited_by_count":9},{"id":"1904.04399","title":"Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications","created":"2019-04-08","cited_by_count":7},{"id":"1607.07980","title":"How2Sketch: Generating Easy-To-Follow Tutorials for Sketching 3D Objects","created":"2016-07-27","cited_by_count":5},{"id":"1609.04855","title":"A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality","created":"2016-09-15","cited_by_count":5},{"id":"2002.09303","title":"The DIDI dataset: Digital Ink Diagram data","created":"2020-02-20","cited_by_count":5},{"id":"1806.11006","title":"Learning Implicit Generative Models with the Method of Learned Moments","created":"2018-06-28","cited_by_count":4}],"next_cursor":null}