{"list":"other","total":67,"rows":[{"id":"1710.09412","title":"mixup: Beyond Empirical Risk Minimization","created":"2017-10-25","cited_by_count":5183},{"id":"1801.04381","title":"MobileNetV2: Inverted Residuals and Linear Bottlenecks","created":"2018-01-13","cited_by_count":4795},{"id":"1409.7495","title":"Unsupervised Domain Adaptation by Backpropagation","created":"2014-09-26","cited_by_count":1917},{"id":"1907.02893","title":"Invariant Risk Minimization","created":"2019-07-05","cited_by_count":1854},{"id":"2006.16241","title":"The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization","created":"2020-06-29","cited_by_count":1850},{"id":"1911.08731","title":"Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization","created":"2019-11-20","cited_by_count":1247},{"id":"2007.01434","title":"In Search of Lost Domain Generalization","created":"2020-07-02","cited_by_count":1054},{"id":"1906.02629","title":"When Does Label Smoothing Help?","created":"2019-06-06","cited_by_count":988},{"id":"2001.04193","title":"Deep Learning for Person Re-identification: A Survey and Outlook","created":"2020-01-13","cited_by_count":549},{"id":"1606.00709","title":"f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization","created":"2016-06-02","cited_by_count":506},{"id":"1711.09349","title":"Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)","created":"2017-11-26","cited_by_count":473},{"id":"1807.09441","title":"Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net","created":"2018-07-25","cited_by_count":364},{"id":"2007.03304","title":"Learning to Generate Novel Domains for Domain Generalization","created":"2020-07-07","cited_by_count":296},{"id":"1701.07717","title":"Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro","created":"2017-01-26","cited_by_count":281},{"id":"1804.10745","title":"Generalizing Across Domains via Cross-Gradient Training","created":"2018-04-28","cited_by_count":268},{"id":"2010.05761","title":"The Risks of Invariant Risk Minimization","created":"2020-10-12","cited_by_count":262},{"id":"2009.12991","title":"Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect","created":"2020-09-28","cited_by_count":256},{"id":"1508.07680","title":"Domain Generalization for Object Recognition with Multi-task Autoencoders","created":"2015-08-31","cited_by_count":253},{"id":"2009.12547","title":"Causal Intervention for Weakly-Supervised Semantic Segmentation","created":"2020-09-26","cited_by_count":229},{"id":"2001.01526","title":"Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification","created":"2020-01-06","cited_by_count":215},{"id":"1904.07223","title":"Joint Discriminative and Generative Learning for Person Re-identification","created":"2019-04-15","cited_by_count":213},{"id":"2102.11107","title":"Towards Causal Representation Learning","created":"2021-02-22","cited_by_count":209},{"id":"2010.07922","title":"Representation Learning via Invariant Causal Mechanisms","created":"2020-10-15","cited_by_count":199},{"id":"1906.03950","title":"Domain-Specific Batch Normalization for Unsupervised Domain Adaptation","created":"2019-05-27","cited_by_count":197},{"id":"1604.01850","title":"Joint Detection and Identification Feature Learning for Person Search","created":"2016-04-07","cited_by_count":190},{"id":"2002.04692","title":"Invariant Risk Minimization Games","created":"2020-02-11","cited_by_count":188},{"id":"1704.01719","title":"Beyond triplet loss: a deep quadruplet network for person re-identification","created":"2017-04-06","cited_by_count":172},{"id":"1711.07027","title":"Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification","created":"2017-11-19","cited_by_count":168},{"id":"2005.11037","title":"Style Normalization and Restitution for Generalizable Person Re-identification","created":"2020-05-22","cited_by_count":136},{"id":"1707.06422","title":"Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions","created":"2017-07-20","cited_by_count":126},{"id":"1904.02998","title":"Relation-Aware Global Attention for Person Re-identification","created":"2019-04-05","cited_by_count":124},{"id":"2009.13000","title":"Interventional Few-Shot Learning","created":"2020-09-28","cited_by_count":112},{"id":"2002.12204","title":"Visual Commonsense R-CNN","created":"2020-02-27","cited_by_count":106},{"id":"1712.00961","title":"Learning Independent Causal Mechanisms","created":"2017-12-04","cited_by_count":105},{"id":"2006.14610","title":"A causal view of compositional zero-shot recognition","created":"2020-06-25","cited_by_count":78},{"id":"1911.10496","title":"Two Causal Principles for Improving Visual Dialog","created":"2019-11-24","cited_by_count":75},{"id":"1910.06827","title":"Learning Generalisable Omni-Scale Representations for Person Re-Identification","created":"2019-10-15","cited_by_count":74},{"id":"1705.10444","title":"Unsupervised Person Re-identification: Clustering and Fine-tuning","created":"2017-05-30","cited_by_count":73},{"id":"2003.03923","title":"Deconfounded Image Captioning: A Causal Retrospect","created":"2020-03-09","cited_by_count":65},{"id":"1803.09786","title":"Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification","created":"2018-03-26","cited_by_count":62},{"id":"2011.01681","title":"Learning Causal Semantic Representation for Out-of-Distribution Prediction","created":"2020-11-03","cited_by_count":60},{"id":"1812.08967","title":"Densely Semantically Aligned Person Re-Identification","created":"2018-12-21","cited_by_count":58},{"id":"2007.01546","title":"Multiple Expert Brainstorming for Domain Adaptive Person Re-identification","created":"2020-07-03","cited_by_count":56},{"id":"2012.11807","title":"Learning Disentangled Semantic Representation for Domain Adaptation","created":"2020-12-22","cited_by_count":55},{"id":"1710.06555","title":"Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification","created":"2017-10-18","cited_by_count":52},{"id":"1812.03253","title":"Counterfactuals uncover the modular structure of deep generative models","created":"2018-12-08","cited_by_count":51},{"id":"1905.03422","title":"Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice","created":"2019-05-09","cited_by_count":48},{"id":"1804.10094","title":"Domain Adaptation through Synthesis for Unsupervised Person Re-identification","created":"2018-04-26","cited_by_count":44},{"id":"1606.04404","title":"End-to-End Comparative Attention Networks for Person Re-identification","created":"2016-06-14","cited_by_count":42},{"id":"2006.12774","title":"Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification","created":"2020-06-23","cited_by_count":42},{"id":"1910.12003","title":"Learning Disentangled Representation for Robust Person Re-identification","created":"2019-10-26","cited_by_count":40},{"id":"1807.01440","title":"Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification","created":"2018-07-04","cited_by_count":34},{"id":"1904.03425","title":"A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification","created":"2019-04-06","cited_by_count":32},{"id":"1512.03622","title":"Deep Feature Learning with Relative Distance Comparison for Person Re-identification","created":"2015-12-11","cited_by_count":25},{"id":"1603.02139","title":"Learning a Discriminative Null Space for Person Re-identification","created":"2016-03-07","cited_by_count":24},{"id":"1703.08359","title":"Scalable Person Re-identification on Supervised Smoothed Manifold","created":"2017-03-24","cited_by_count":24},{"id":"2007.09257","title":"Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation","created":"2020-07-17","cited_by_count":24},{"id":"2011.12563","title":"Multi-Domain Adversarial Feature Generalization for Person Re-Identification","created":"2020-11-25","cited_by_count":22},{"id":"1904.05005","title":"Person Re-identification with Metric Learning using Privileged Information","created":"2019-04-10","cited_by_count":20},{"id":"2004.04933","title":"Real-world Person Re-Identification via Degradation Invariance Learning","created":"2020-04-10","cited_by_count":20},{"id":"2007.13249","title":"Dual Distribution Alignment Network for Generalizable Person Re-Identification","created":"2020-07-27","cited_by_count":20},{"id":"1906.03347","title":"When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation","created":"2019-06-07","cited_by_count":16},{"id":"1911.11314","title":"Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification","created":"2019-11-26","cited_by_count":14},{"id":"1910.05280","title":"Augmented Hard Example Mining for Generalizable Person Re-Identification","created":"2019-10-11","cited_by_count":11},{"id":"1505.06821","title":"Deep Ranking for Person Re-identification via Joint Representation Learning","created":"2015-05-26","cited_by_count":10},{"id":"1607.05369","title":"A Multi-task Deep Network for Person Re-identification","created":"2016-07-19","cited_by_count":9},{"id":"2011.02203","title":"Latent Causal Invariant Model","created":"2020-11-04","cited_by_count":9}],"next_cursor":null}