Embedding Learning
3,795 papers
Papers per year
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Papers
Unsupervised Deep Generative Adversarial Hashing Network
CVPR 2018
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval
IJCAI 2018
Unsupervised Learning of Style-sensitive Word Vectors
ACL 2018
Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline
ACL 2018
Using Author Embeddings to Improve Tweet Stance Classification
EMNLP 2018
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge
CoNLL 2018
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models
EMNLP 2018
Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity
CoNLL 2018
Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding
CVPR 2018
Virtual Class Enhanced Discriminative Embedding Learning
NeurIPS 2018
Vocabulary Alignment for Collaborative Agents: a Study with Real-World Multilingual How-to Instructions
IJCAI 2018
Watch Your Step: Learning Node Embeddings via Graph Attention
NeurIPS 2018
Waveform-Based Speaker Representations for Speech Synthesis
Interspeech 2018
Weakly Supervised Learning of Single-Cell Feature Embeddings
CVPR 2018
What’s in Your Embedding, And How It Predicts Task Performance
COLING 2018
What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
ACL 2018
Why is unsupervised alignment of English embeddings from different algorithms so hard?
EMNLP 2018
Word Embeddings-Based Uncertainty Detection in Financial Disclosures
ACL 2018
Word Embeddings for Code-Mixed Language Processing
EMNLP 2018
Word-like character n-gram embedding
EMNLP 2018
Word Mover’s Embedding: From Word2Vec to Document Embedding
EMNLP 2018
WordNet Embeddings
ACL 2018
Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks
CVPR 2018
A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding
IJCNLP 2017
Acoustic-to-Articulatory Mapping Based on Mixture of Probabilistic Canonical Correlation Analysis
Interspeech 2017