Showing 1–18 of 18 results
/ Date/ Name
Apr 11, 2019wav2vec: Unsupervised Pre-training for Speech RecognitionJul 16, 2025CytoSAE: Interpretable Cell Embeddings for HematologyDec 6, 2024Sparse autoencoders reveal selective remapping of visual concepts during adaptationOct 18, 2024Self-supervised contrastive learning performs non-linear system identificationJun 30, 2020Improving robustness against common corruptions by covariate shift adaptationFeb 17, 2021Contrastive Learning Inverts the Data Generating ProcessAug 14, 2017Context-based Normalization of Histological Stains using Deep Convolutional FeaturesApr 1, 2022Learnable latent embeddings for joint behavioral and neural analysisSep 1, 2020A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and PerspectivesApr 27, 2021If your data distribution shifts, use self-learningOct 12, 2019vq-wav2vec: Self-Supervised Learning of Discrete Speech RepresentationsMar 14, 2022SuperAnimal pretrained pose estimation models for behavioral analysisOct 24, 2025Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group ActionsOct 13, 2021Unsupervised Object Learning via Common FateSep 24, 2019Pretraining boosts out-of-domain robustness for pose estimationJun 8, 2023RDumb: A simple approach that questions our progress in continual test-time adaptationOct 30, 2025ConceptScope: Characterizing Dataset Bias via Disentangled Visual ConceptsFeb 17, 2025Time-series attribution maps with regularized contrastive learning