 Emerging Properties in Self-Supervised Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021 |
 Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote
Sensing DataIEEE International Conference on Computer Vision (ICCV), 2021 |
 Intrinsic Dimensionality Explains the Effectiveness of Language Model
Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 WILDS: A Benchmark of in-the-Wild Distribution ShiftsInternational Conference on Machine Learning (ICML), 2020 |
 Geography-Aware Self-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2020 |
 Bootstrap your own latent: A new approach to self-supervised LearningNeural Information Processing Systems (NeurIPS), 2020 |
 Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020 |
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 Distributionally Robust Language ModelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Measuring the Intrinsic Dimension of Objective LandscapesInternational Conference on Learning Representations (ICLR), 2018 |
 Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017 |
 Domain-Adversarial Training of Neural NetworksJournal of machine learning research (JMLR), 2015 |
