Co-occurring keywords · papers mentioning both
Papers
Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces
NAACL 2018
Music Source Activity Detection and Separation Using Deep Attractor Network
Interspeech 2018
Representing Social Media Users for Sarcasm Detection
EMNLP 2018
Scalable Rule Learning via Learning Representation
IJCAI 2018
Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings
ACL 2018
SimplE Embedding for Link Prediction in Knowledge Graphs
NeurIPS 2018
Simultaneous Clustering and Ranking from Pairwise Comparisons
IJCAI 2018
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
ICML 2018
Training Utterance-level Embedding Networks for Speaker Identification and Verification
Interspeech 2018
Tree Edit Distance Learning via Adaptive Symbol Embeddings
ICML 2018
Triplet Network with Attention for Speaker Diarization
Interspeech 2018
Virtual Class Enhanced Discriminative Embedding Learning
NeurIPS 2018
Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks
CVPR 2018
Adaptively Unified Semi-supervised Learning for Cross-Modal Retrieval
IJCAI 2017
Character-Based Embedding Models and Reranking Strategies for Understanding Natural Language Meal Descriptions
Interspeech 2017
Conditional Similarity Networks
CVPR 2017
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation
IJCNLP 2017
Cross-Domain Recommendation: An Embedding and Mapping Approach
IJCAI 2017
Deep Metric Learning via Facility Location
CVPR 2017
Derivation of Document Vectors from Adaptation of LSTM Language Model
EACL 2017
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema
EACL 2017
Hierarchical Multimodal Metric Learning for Multimodal Classification
CVPR 2017
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
EMNLP 2017
Kernel functions based on triplet comparisons
NeurIPS 2017
Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach
IJCAI 2017