conftrace_
← Core Methods
Machine Learning › Core Methods ›

Embedding Learning

3,753 papers

Papers per year

2
14
58
474
336
'05
'10
'15
'20
'25

Papers

Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN NIPS 2018
Generalized Zero-Shot Learning with Deep Calibration Network NIPS 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics NIPS 2018
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces NIPS 2018
Diffusion Maps for Textual Network Embedding NIPS 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling NIPS 2018
Learning Deep Disentangled Embeddings With the F-Statistic Loss NIPS 2018
Provable Gaussian Embedding with One Observation NIPS 2018
LinkNet: Relational Embedding for Scene Graph NIPS 2018
Learning with SGD and Random Features NIPS 2018
Fully Understanding The Hashing Trick NIPS 2018
The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation NIPS 2018
BourGAN: Generative Networks with Metric Embeddings NIPS 2018
Watch Your Step: Learning Node Embeddings via Graph Attention NIPS 2018
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search NIPS 2018
Banach Wasserstein GAN NIPS 2018
SimplE Embedding for Link Prediction in Knowledge Graphs NIPS 2018
On the Dimensionality of Word Embedding NIPS 2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions NIPS 2018
Domain-Invariant Projection Learning for Zero-Shot Recognition NIPS 2018
A Retrieve-and-Edit Framework for Predicting Structured Outputs NIPS 2018
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning NIPS 2018
Virtual Class Enhanced Discriminative Embedding Learning NIPS 2018
Hyperbolic Neural Networks NIPS 2018
Expanding Holographic Embeddings for Knowledge Completion NIPS 2018