Co-occurring keywords · papers mentioning both
Papers
PIEs: Pose Invariant Embeddings
CVPR 2019
Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-Level Embedding Features
Interspeech 2019
Ranked List Loss for Deep Metric Learning
CVPR 2019
Reasoning Over Paths via Knowledge Base Completion
EMNLP 2019
Rethinking Loss Design for Large-scale 3D Shape Retrieval
IJCAI 2019
Retrofitting Contextualized Word Embeddings with Paraphrases
EMNLP 2019
R-Vectors: New Technique for Adaptation to Room Acoustics
Interspeech 2019
Shallow Domain Adaptive Embeddings for Sentiment Analysis
EMNLP 2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
ICCV 2019
The Natural Language of Actions
ICML 2019
Towards Language Agnostic Universal Representations
ACL 2019
Towards Latent Attribute Discovery From Triplet Similarities
ICCV 2019
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
AAAI 2019
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering
AAAI 2019
Unsupervised Acoustic Segmentation and Clustering Using Siamese Network Embeddings
Interspeech 2019
Unsupervised Person Re-Identification by Soft Multilabel Learning
CVPR 2019
Vector of Locally Aggregated Embeddings for Text Representation
NAACL 2019
Video Face Clustering With Unknown Number of Clusters
ICCV 2019
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
AAAI 2019
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
NeurIPS 2018
A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task
COLING 2018
An Improved Deep Embedding Learning Method for Short Duration Speaker Verification
Interspeech 2018
A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking
CVPR 2018
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
NAACL 2018
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning
IJCAI 2018