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Self-Supervised Learning

3,224 papers

Papers per year

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Papers

Consistency Training with Virtual Adversarial Discrete Perturbation NAACL 2022
Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration WACV 2022
Contrast To Divide: Self-Supervised Pre-Training for Learning With Noisy Labels WACV 2022
Pose and Joint-Aware Action Recognition WACV 2022
FLUID: Few-Shot Self-Supervised Image Deraining WACV 2022
Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild WACV 2022
Can contrastive learning avoid shortcut solutions? NIPS 2021
Compressed Video Contrastive Learning NIPS 2021
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos NIPS 2021
Graph Adversarial Self-Supervised Learning NIPS 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework NIPS 2021
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations NIPS 2021
Online Learning Of Neural Computations From Sparse Temporal Feedback NIPS 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style NIPS 2021
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction NIPS 2021
Large-Scale Unsupervised Object Discovery NIPS 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NIPS 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration NIPS 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision NIPS 2021
Towards Multi-Grained Explainability for Graph Neural Networks NIPS 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach NIPS 2021
Compressive Visual Representations NIPS 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition NIPS 2021
Differentiable Spline Approximations NIPS 2021
Techniques for Symbol Grounding with SATNet NIPS 2021