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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Improve Unsupervised Pretraining for Few-Label Transfer ICCV 2021
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds ICCV 2021
Space-Time Crop & Attend: Improving Cross-Modal Video Representation Learning ICCV 2021
Weakly Supervised Contrastive Learning ICCV 2021
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation ICCV 2021
Dual Path Learning for Domain Adaptation of Semantic Segmentation ICCV 2021
Curious Representation Learning for Embodied Intelligence ICCV 2021
Enhancing Self-Supervised Video Representation Learning via Multi-Level Feature Optimization ICCV 2021
Airbert: In-Domain Pretraining for Vision-and-Language Navigation ICCV 2021
Internal Video Inpainting by Implicit Long-Range Propagation ICCV 2021
GLSearch: Maximum Common Subgraph Detection via Learning to Search ICML 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment ICML 2021
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction ICML 2021
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation ICML 2021
Modeling Hierarchical Structures with Continuous Recursive Neural Networks ICML 2021
Explaining Time Series Predictions with Dynamic Masks ICML 2021
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML 2021
XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021
Whitening for Self-Supervised Representation Learning ICML 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ICML 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline ICML 2021
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration ICML 2021
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification ICML 2021