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Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

Unsupervised 3D Pose Estimation With Geometric Self-Supervision CVPR 2019
Predicting Discourse Structure using Distant Supervision from Sentiment EMNLP 2019
Open Event Extraction from Online Text using a Generative Adversarial Network EMNLP 2019
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations CVPR 2019
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking CVPR 2019
Temporally-Aware Acoustic Unit Discovery for Zerospeech 2019 Challenge INTERSPEECH 2019
Latent Topic Attention for Domain Classification INTERSPEECH 2019
Task-Conditioned Variational Autoencoders for Learning Movement Primitives CORL 2019
Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion INTERSPEECH 2019
SelFlow: Self-Supervised Learning of Optical Flow CVPR 2019
Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information INTERSPEECH 2019
Learning value functions with relational state representations for guiding task-and-motion planning CORL 2019
Learning Latent Plans from Play CORL 2019
Learning Correspondence From the Cycle-Consistency of Time CVPR 2019
Learning Words by Drawing Images CVPR 2019
Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech INTERSPEECH 2019
Direction-Aware Speaker Beam for Multi-Channel Speaker Extraction INTERSPEECH 2019
Personalized Dialogue Response Generation Learned from Monologues INTERSPEECH 2019
R-Vectors: New Technique for Adaptation to Room Acoustics INTERSPEECH 2019
Pluralistic Image Completion CVPR 2019
Attending to Discriminative Certainty for Domain Adaptation CVPR 2019
Graph-Structured Visual Imitation CORL 2019
Two Stream Networks for Self-Supervised Ego-Motion Estimation CORL 2019
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation EMNLP 2019
Automatic Adaptation of Object Detectors to New Domains Using Self-Training CVPR 2019