← Learning Types
Deep Learning › Learning Types ›

Representation Learning

4516 directly classified papers

Papers per year

Papers

Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer EMNLP 2019
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation EMNLP 2019
Who wrote this book? A challenge for e-commerce EMNLP 2019
Additive Compositionality of Word Vectors EMNLP 2019
Contextualized context2vec EMNLP 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual EMNLP 2019
Natural Language Generation for Effective Knowledge Distillation EMNLP 2019
Eigencharacter: An Embedding of Chinese Character Orthography EMNLP 2019
Image Super-Resolution by Neural Texture Transfer CVPR 2019
Learning to Extract Flawless Slow Motion From Blurry Videos CVPR 2019
RF-Net: An End-To-End Image Matching Network Based on Receptive Field CVPR 2019
Metric Learning for Image Registration CVPR 2019
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training CVPR 2019
Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes CVPR 2019
Semantic Correlation Promoted Shape-Variant Context for Segmentation CVPR 2019
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames CVPR 2019
Deep Incremental Hashing Network for Efficient Image Retrieval CVPR 2019
Interaction-And-Aggregation Network for Person Re-Identification CVPR 2019
Rare Event Detection Using Disentangled Representation Learning CVPR 2019
Character Region Awareness for Text Detection CVPR 2019
Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features CVPR 2019
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation CVPR 2019
ABC: A Big CAD Model Dataset for Geometric Deep Learning CVPR 2019
PointConv: Deep Convolutional Networks on 3D Point Clouds CVPR 2019
3D Appearance Super-Resolution With Deep Learning CVPR 2019