{"list":"other","total":141,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"1503.02531","title":"Distilling the Knowledge in a Neural Network","created":"2015-03-09","cited_by_count":10324},{"id":"1807.03748","title":"Representation Learning with Contrastive Predictive Coding","created":"2018-07-10","cited_by_count":7777},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"1502.03167","title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","created":"2015-02-11","cited_by_count":7005},{"id":"2203.00667","title":"Generative Adversarial Networks","created":"2022-03-01","cited_by_count":5627},{"id":"1710.09412","title":"mixup: Beyond Empirical Risk Minimization","created":"2017-10-25","cited_by_count":5183},{"id":"1312.6199","title":"Intriguing properties of neural networks","created":"2013-12-21","cited_by_count":5155},{"id":"1505.07818","title":"Domain-Adversarial Training of Neural Networks","created":"2015-05-28","cited_by_count":3044},{"id":"2004.11362","title":"Supervised Contrastive Learning","created":"2020-04-23","cited_by_count":2829},{"id":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"id":"1703.04977","title":"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?","created":"2017-03-15","cited_by_count":2352},{"id":"2001.07685","title":"FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence","created":"2020-01-21","cited_by_count":2085},{"id":"1703.06868","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","created":"2017-03-20","cited_by_count":2010},{"id":"1409.7495","title":"Unsupervised Domain Adaptation by Backpropagation","created":"2014-09-26","cited_by_count":1917},{"id":"1805.01978","title":"Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination","created":"2018-05-05","cited_by_count":1845},{"id":"1905.02249","title":"MixMatch: A Holistic Approach to Semi-Supervised Learning","created":"2019-05-06","cited_by_count":1391},{"id":"1812.01754","title":"Moment Matching for Multi-Source Domain Adaptation","created":"2018-12-04","cited_by_count":1331},{"id":"1502.02791","title":"Learning Transferable Features with Deep Adaptation Networks","created":"2015-02-10","cited_by_count":1329},{"id":"1702.05464","title":"Adversarial Discriminative Domain Adaptation","created":"2017-02-17","cited_by_count":1311},{"id":"1906.05849","title":"Contrastive Multiview Coding","created":"2019-06-13","cited_by_count":1301},{"id":"1706.07522","title":"Deep Hashing Network for Unsupervised Domain Adaptation","created":"2017-06-22","cited_by_count":1188},{"id":"1911.02685","title":"A Comprehensive Survey on Transfer Learning","created":"2019-11-07","cited_by_count":1160},{"id":"1711.03213","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","created":"2017-11-08","cited_by_count":1082},{"id":"1807.05520","title":"Deep Clustering for Unsupervised Learning of Visual Features","created":"2018-07-15","cited_by_count":1028},{"id":"1706.05394","title":"A Closer Look at Memorization in Deep Networks","created":"2017-06-16","cited_by_count":942},{"id":"2002.08546","title":"Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation","created":"2020-02-20","cited_by_count":848},{"id":"1804.04732","title":"Multimodal Unsupervised Image-to-Image Translation","created":"2018-04-12","cited_by_count":795},{"id":"2103.02503","title":"Domain Generalization: A Survey","created":"2021-03-03","cited_by_count":764},{"id":"1712.02560","title":"Maximum Classifier Discrepancy for Unsupervised Domain Adaptation","created":"2017-12-07","cited_by_count":683},{"id":"1802.03601","title":"Deep Visual Domain Adaptation: A Survey","created":"2018-02-10","cited_by_count":635},{"id":"1301.2115","title":"Domain Generalization via Invariant Feature Representation","created":"2013-01-10","cited_by_count":623},{"id":"1605.06636","title":"Deep Transfer Learning with Joint Adaptation Networks","created":"2016-05-21","cited_by_count":612},{"id":"1710.06924","title":"VisDA: The Visual Domain Adaptation Challenge","created":"2017-10-18","cited_by_count":435},{"id":"1912.08795","title":"Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion","created":"2019-12-18","cited_by_count":423},{"id":"1812.02849","title":"A Survey of Unsupervised Deep Domain Adaptation","created":"2018-12-06","cited_by_count":361},{"id":"1602.04433","title":"Unsupervised Domain Adaptation with Residual Transfer Networks","created":"2016-02-14","cited_by_count":341},{"id":"1904.06487","title":"Semi-supervised Domain Adaptation via Minimax Entropy","created":"2019-04-13","cited_by_count":335},{"id":"2004.06100","title":"Pretrained Transformers Improve Out-of-Distribution Robustness","created":"2020-04-13","cited_by_count":294},{"id":"1904.04717","title":"Label Propagation for Deep Semi-supervised Learning","created":"2019-04-09","cited_by_count":289},{"id":"2008.01449","title":"Prior Guided Feature Enrichment Network for Few-Shot Segmentation","created":"2020-08-04","cited_by_count":271},{"id":"1812.01866","title":"Few-shot Object Detection via Feature Reweighting","created":"2018-12-05","cited_by_count":265},{"id":"2204.07143","title":"Neighborhood Attention Transformer","created":"2022-04-14","cited_by_count":239},{"id":"1903.04064","title":"Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation","created":"2019-03-10","cited_by_count":235},{"id":"1904.03436","title":"Unsupervised Embedding Learning via Invariant and Spreading Instance Feature","created":"2019-04-06","cited_by_count":232},{"id":"2004.04393","title":"Universal Source-Free Domain Adaptation","created":"2020-04-09","cited_by_count":220},{"id":"1606.07536","title":"Coupled Generative Adversarial Networks","created":"2016-06-24","cited_by_count":216},{"id":"1908.01998","title":"Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector","created":"2019-08-06","cited_by_count":206},{"id":"1904.01186","title":"Data-Free Learning of Student Networks","created":"2019-04-02","cited_by_count":204},{"id":"1906.01076","title":"Episodic Memory in Lifelong Language Learning","created":"2019-06-03","cited_by_count":188},{"id":"2110.04202","title":"Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation","created":"2021-10-08","cited_by_count":177},{"id":"2108.01614","title":"Generalized Source-free Domain Adaptation","created":"2021-08-03","cited_by_count":175},{"id":"2012.07297","title":"Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer","created":"2020-12-14","cited_by_count":173},{"id":"1703.07511","title":"Deep Photo Style Transfer","created":"2017-03-22","cited_by_count":168},{"id":"2103.16372","title":"Source-Free Domain Adaptation for Semantic Segmentation","created":"2021-03-30","cited_by_count":168},{"id":"2110.03374","title":"Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data","created":"2021-10-07","cited_by_count":152},{"id":"2110.06848","title":"Decoupled Contrastive Learning","created":"2021-10-13","cited_by_count":143},{"id":"1911.02054","title":"Federated Adversarial Domain Adaptation","created":"2019-11-05","cited_by_count":140},{"id":"2003.12237","title":"Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations","created":"2020-03-27","cited_by_count":133},{"id":"1905.09768","title":"Zero-shot Knowledge Transfer via Adversarial Belief Matching","created":"2019-05-23","cited_by_count":129},{"id":"2109.06165","title":"CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation","created":"2021-09-13","cited_by_count":129},{"id":"1905.08114","title":"Zero-Shot Knowledge Distillation in Deep Networks","created":"2019-05-20","cited_by_count":121},{"id":"1704.06327","title":"Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization","created":"2017-04-20","cited_by_count":113},{"id":"2106.15326","title":"Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation","created":"2021-06-18","cited_by_count":111},{"id":"1908.09547","title":"Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach","created":"2019-08-26","cited_by_count":103},{"id":"2208.07422","title":"Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives","created":"2022-08-15","cited_by_count":98},{"id":"2207.11549","title":"Self-Support Few-Shot Semantic Segmentation","created":"2022-07-23","cited_by_count":96},{"id":"1511.06390","title":"Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks","created":"2015-11-19","cited_by_count":95},{"id":"2205.04183","title":"Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation","created":"2022-05-09","cited_by_count":94},{"id":"2102.09003","title":"Domain Impression: A Source Data Free Domain Adaptation Method","created":"2021-02-17","cited_by_count":91},{"id":"2007.01524","title":"Domain Adaptation without Source Data","created":"2020-07-03","cited_by_count":88},{"id":"1806.07110","title":"Modality Distillation with Multiple Stream Networks for Action Recognition","created":"2018-06-19","cited_by_count":83},{"id":"2001.03111","title":"Unpaired Multi-modal Segmentation via Knowledge Distillation","created":"2020-01-06","cited_by_count":81},{"id":"1803.01529","title":"LSTD: A Low-Shot Transfer Detector for Object Detection","created":"2018-03-05","cited_by_count":77},{"id":"2004.12615","title":"Maximum Density Divergence for Domain Adaptation","created":"2020-04-27","cited_by_count":76},{"id":"2104.01845","title":"Unsupervised Multi-source Domain Adaptation Without Access to Source Data","created":"2021-04-05","cited_by_count":76},{"id":"2106.05528","title":"Cross-domain Contrastive Learning for Unsupervised Domain Adaptation","created":"2021-06-10","cited_by_count":76},{"id":"1904.07848","title":"Active Adversarial Domain Adaptation","created":"2019-04-16","cited_by_count":73},{"id":"2103.14357","title":"VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation","created":"2021-03-26","cited_by_count":69},{"id":"1909.13231","title":"Test-Time Training with Self-Supervision for Generalization under Distribution Shifts","created":"2019-09-29","cited_by_count":59},{"id":"2010.05210","title":"Generalized Few-shot Semantic Segmentation","created":"2020-10-11","cited_by_count":59},{"id":"2206.08009","title":"Balancing Discriminability and Transferability for Source-Free Domain Adaptation","created":"2022-06-16","cited_by_count":58},{"id":"2103.12562","title":"Transferable Semantic Augmentation for Domain Adaptation","created":"2021-03-23","cited_by_count":56},{"id":"2203.15793","title":"Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection","created":"2022-03-29","cited_by_count":55},{"id":"2112.01406","title":"Active Learning for Domain Adaptation: An Energy-Based Approach","created":"2021-12-02","cited_by_count":53},{"id":"2005.03697","title":"Source-Relaxed Domain Adaptation for Image Segmentation","created":"2020-05-07","cited_by_count":52},{"id":"2212.05370","title":"Source-free Depth for Object Pop-out","created":"2022-12-10","cited_by_count":52},{"id":"2102.11614","title":"Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation","created":"2021-02-23","cited_by_count":47},{"id":"2208.07591","title":"Uncertainty-guided Source-free Domain Adaptation","created":"2022-08-16","cited_by_count":46},{"id":"2108.03152","title":"Source-Free Domain Adaptation for Image Segmentation","created":"2021-08-06","cited_by_count":45},{"id":"2106.03422","title":"Source-Free Open Compound Domain Adaptation in Semantic Segmentation","created":"2021-06-07","cited_by_count":43},{"id":"2204.02811","title":"BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation","created":"2022-04-06","cited_by_count":39},{"id":"1810.04246","title":"Deep clustering: On the link between discriminative models and K-means","created":"2018-10-09","cited_by_count":37},{"id":"2010.01926","title":"Test-time Unsupervised Domain Adaptation","created":"2020-10-05","cited_by_count":37},{"id":"1707.01922","title":"Zero-Shot Deep Domain Adaptation","created":"2017-07-06","cited_by_count":35},{"id":"2012.06995","title":"Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation","created":"2020-12-13","cited_by_count":35},{"id":"2210.02326","title":"Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning","created":"2022-10-05","cited_by_count":35}],"next_cursor":"100"}