← Learning Types
Machine Learning › Learning Types ›

Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

3DMatch: Learning Local Geometric Descriptors From RGB-D Reconstructions CVPR 2017
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net NIPS 2017
Masked Autoregressive Flow for Density Estimation NIPS 2017
Adversarial Auto-Encoders for Speech Based Emotion Recognition INTERSPEECH 2017
Concatenative Resynthesis Using Twin Networks INTERSPEECH 2017
Character-Based Embedding Models and Reranking Strategies for Understanding Natural Language Meal Descriptions INTERSPEECH 2017
A Note Based Query By Humming System Using Convolutional Neural Network INTERSPEECH 2017
Learning Features by Watching Objects Move CVPR 2017
Bidirectional Modelling for Short Duration Language Identification INTERSPEECH 2017
Studying the Link Between Inter-Speaker Coordination and Speech Imitation Through Human-Machine Interactions INTERSPEECH 2017
End-to-End Learning of Semantic Grasping CORL 2017
Safe Visual Navigation via Deep Learning and Novelty Detection RSS 2017
Comparative Evaluation of Hand-Crafted and Learned Local Features CVPR 2017
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm EMNLP 2017
Exploring Different Dimensions of Attention for Uncertainty Detection EACL 2017
Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations RSS 2017
Grounding Language by Continuous Observation of Instruction Following EACL 2017
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency CVPR 2017
Implicit Syntactic Features for Target-dependent Sentiment Analysis IJCNLP 2017
Local Group Invariant Representations via Orbit Embeddings AISTATS 2017
Self-Critical Sequence Training for Image Captioning CVPR 2017
Imagination Improves Multimodal Translation IJCNLP 2017
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings ACL 2017
Automatically augmenting an emotion dataset improves classification using audio EACL 2017
Learning from Conditional Distributions via Dual Embeddings AISTATS 2017