{"list":"other","total":74,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1703.03400","title":"Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks","created":"2017-03-09","cited_by_count":4897},{"id":"1911.02116","title":"Unsupervised Cross-lingual Representation Learning at Scale","created":"2019-11-05","cited_by_count":3935},{"id":"1411.7766","title":"Deep Learning Face Attributes in the Wild","created":"2014-11-28","cited_by_count":3693},{"id":"1702.04405","title":"ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes","created":"2017-02-14","cited_by_count":3117},{"id":"1606.04080","title":"Matching Networks for One Shot Learning","created":"2016-06-13","cited_by_count":2255},{"id":"1911.02685","title":"A Comprehensive Survey on Transfer Learning","created":"2019-11-07","cited_by_count":1160},{"id":"1703.00564","title":"MoleculeNet: A Benchmark for Molecular Machine Learning","created":"2017-03-02","cited_by_count":1051},{"id":"1803.02999","title":"On First-Order Meta-Learning Algorithms","created":"2018-03-08","cited_by_count":1018},{"id":"2004.05439","title":"Meta-Learning in Neural Networks: A Survey","created":"2020-04-11","cited_by_count":950},{"id":"1801.07243","title":"Personalizing Dialogue Agents: I have a dog, do you have pets too?","created":"2018-01-22","cited_by_count":828},{"id":"1706.05098","title":"An Overview of Multi-Task Learning in Deep Neural Networks","created":"2017-06-15","cited_by_count":803},{"id":"1710.03463","title":"Learning to Generalize: Meta-Learning for Domain Generalization","created":"2017-10-10","cited_by_count":763},{"id":"2003.11080","title":"XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization","created":"2020-03-24","cited_by_count":742},{"id":"1804.08328","title":"Taskonomy: Disentangling Task Transfer Learning","created":"2018-04-23","cited_by_count":634},{"id":"2003.05002","title":"TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages","created":"2020-03-10","cited_by_count":488},{"id":"1805.10123","title":"TADAM: Task dependent adaptive metric for improved few-shot learning","created":"2018-05-23","cited_by_count":408},{"id":"1707.09835","title":"Meta-SGD: Learning to Learn Quickly for Few-Shot Learning","created":"2017-07-31","cited_by_count":379},{"id":"2009.09796","title":"Multi-Task Learning with Deep Neural Networks: A Survey","created":"2020-09-10","cited_by_count":375},{"id":"1909.09157","title":"Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML","created":"2019-09-19","cited_by_count":359},{"id":"1903.03096","title":"Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples","created":"2019-03-07","cited_by_count":315},{"id":"1902.07830","title":"Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges","created":"2019-02-21","cited_by_count":314},{"id":"1812.02391","title":"Meta-Transfer Learning for Few-Shot Learning","created":"2018-12-06","cited_by_count":306},{"id":"2010.03978","title":"A Brief Review of Domain Adaptation","created":"2020-10-07","cited_by_count":288},{"id":"2004.10643","title":"Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection","created":"2020-04-22","cited_by_count":271},{"id":"1908.00463","title":"DIODE: A Dense Indoor and Outdoor DEpth Dataset","created":"2019-08-01","cited_by_count":240},{"id":"1805.04409","title":"PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing","created":"2018-05-11","cited_by_count":224},{"id":"1910.08348","title":"VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning","created":"2019-10-18","cited_by_count":217},{"id":"1804.00518","title":"The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking","created":"2018-03-26","cited_by_count":208},{"id":"1505.06279","title":"The Benefit of Multitask Representation Learning","created":"2015-05-23","cited_by_count":195},{"id":"2107.12808","title":"Open-Ended Learning Leads to Generally Capable Agents","created":"2021-07-27","cited_by_count":182},{"id":"2009.00909","title":"A Survey on Negative Transfer","created":"2020-09-02","cited_by_count":122},{"id":"2002.12213","title":"Meta-Transfer Learning for Zero-Shot Super-Resolution","created":"2020-02-27","cited_by_count":116},{"id":"2006.01895","title":"Learning to Branch for Multi-Task Learning","created":"2020-06-02","cited_by_count":115},{"id":"2010.03522","title":"A Survey of Deep Meta-Learning","created":"2020-10-07","cited_by_count":100},{"id":"1704.05742","title":"Adversarial Multi-task Learning for Text Classification","created":"2017-04-19","cited_by_count":91},{"id":"1804.07437","title":"Vision Meets Drones: A Challenge","created":"2018-04-20","cited_by_count":81},{"id":"2109.09138","title":"Multi-Task Learning in Natural Language Processing: An Overview","created":"2021-09-19","cited_by_count":62},{"id":"2003.03284","title":"TaskNorm: Rethinking Batch Normalization for Meta-Learning","created":"2020-03-06","cited_by_count":51},{"id":"2009.08445","title":"Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks","created":"2020-09-17","cited_by_count":51},{"id":"2106.09017","title":"Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation","created":"2021-06-16","cited_by_count":50},{"id":"2009.09153","title":"Hidden Incentives for Auto-Induced Distributional Shift","created":"2020-09-19","cited_by_count":43},{"id":"1902.10918","title":"Meta Dynamic Pricing: Transfer Learning Across Experiments","created":"2019-02-28","cited_by_count":42},{"id":"2005.04425","title":"Building a Manga Dataset \"Manga109\" with Annotations for Multimedia Applications","created":"2020-05-09","cited_by_count":38},{"id":"1910.03648","title":"Meta-Transfer Learning through Hard Tasks","created":"2019-10-07","cited_by_count":23},{"id":"2103.03697","title":"Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms","created":"2021-03-05","cited_by_count":22},{"id":"2110.14202","title":"Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning","created":"2021-10-27","cited_by_count":22},{"id":"1802.08969","title":"Meta Multi-Task Learning for Sequence Modeling","created":"2018-02-25","cited_by_count":18},{"id":"2102.07572","title":"Transfer Learning for Future Wireless Networks: A Comprehensive Survey","created":"2021-02-15","cited_by_count":18},{"id":"2003.05334","title":"Online Meta-Critic Learning for Off-Policy Actor-Critic Methods","created":"2020-03-11","cited_by_count":17},{"id":"1703.05463","title":"Using Human Brain Activity to Guide Machine Learning","created":"2017-03-16","cited_by_count":15},{"id":"2004.11149","title":"A Comprehensive Overview and Survey of Recent Advances in Meta-Learning","created":"2020-04-17","cited_by_count":15},{"id":"2011.05369","title":"Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning","created":"2020-11-10","cited_by_count":15},{"id":"2101.10368","title":"Meta-Learning for Effective Multi-task and Multilingual Modelling","created":"2021-01-25","cited_by_count":13},{"id":"1907.00409","title":"Evaluating Language Model Finetuning Techniques for Low-resource Languages","created":"2019-06-30","cited_by_count":12},{"id":"2010.15413","title":"Measuring and Harnessing Transference in Multi-Task Learning","created":"2020-10-29","cited_by_count":11},{"id":"2109.13576","title":"Multimodality in Meta-Learning: A Comprehensive Survey","created":"2021-09-28","cited_by_count":11},{"id":"2108.03377","title":"Generating Personalized Dialogue via Multi-Task Meta-Learning","created":"2021-08-07","cited_by_count":8},{"id":"2006.11764","title":"Gradient-EM Bayesian Meta-learning","created":"2020-06-21","cited_by_count":7},{"id":"2108.10840","title":"Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark","created":"2021-08-24","cited_by_count":7},{"id":"1812.09073","title":"An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction","created":"2018-12-21","cited_by_count":6},{"id":"2004.05318","title":"Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases","created":"2020-04-11","cited_by_count":6},{"id":"2102.03151","title":"Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach","created":"2021-02-05","cited_by_count":6},{"id":"1709.04543","title":"Data-Efficient Multirobot, Multitask Transfer Learning for Trajectory Tracking","created":"2017-09-13","cited_by_count":5},{"id":"2003.06113","title":"Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification","created":"2020-03-13","cited_by_count":5},{"id":"1810.09988","title":"Meta-Learning Multi-task Communication","created":"2018-10-23","cited_by_count":3},{"id":"1910.02330","title":"Towards Deployment of Robust AI Agents for Human-Machine Partnerships","created":"2019-10-05","cited_by_count":3},{"id":"2004.11742","title":"ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning","created":"2020-04-24","cited_by_count":3},{"id":"2006.07438","title":"Attentive Feature Reuse for Multi Task Meta learning","created":"2020-06-12","cited_by_count":3},{"id":"2011.08544","title":"Recursive Inference for Variational Autoencoders","created":"2020-11-17","cited_by_count":3},{"id":"1611.02091","title":"Building a comprehensive syntactic and semantic corpus of Chinese clinical texts","created":"2016-11-07","cited_by_count":2},{"id":"1805.09946","title":"Meta Transfer Learning for Facial Emotion Recognition","created":"2018-05-25","cited_by_count":1}],"next_cursor":null}