conftrace_
← Core Methods
Machine Learning › Core Methods ›

Embedding Learning

3,751 papers

Papers per year

Papers

Improving Video Captioning With Temporal Composition of a Visual-Syntactic Embedding WACV 2021
3DPoseLite: A Compact 3D Pose Estimation Using Node Embeddings WACV 2021
Keypoint-Aligned Embeddings for Image Retrieval and Re-Identification WACV 2021
Learning to Distill Convolutional Features Into Compact Local Descriptors WACV 2021
Representation Learning Through Latent Canonicalizations WACV 2021
Compositional Embeddings for Multi-Label One-Shot Learning WACV 2021
Facial Expression Recognition in the Wild via Deep Attentive Center Loss WACV 2021
Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences WACV 2021
Neural Methods for Point-wise Dependency Estimation NIPS 2020
Improving Local Identifiability in Probabilistic Box Embeddings NIPS 2020
Simultaneous Preference and Metric Learning from Paired Comparisons NIPS 2020
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network NIPS 2020
Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding NIPS 2020
Partially View-aligned Clustering NIPS 2020
Learning Graph Structure With A Finite-State Automaton Layer NIPS 2020
Learning to Approximate a Bregman Divergence NIPS 2020
All Word Embeddings from One Embedding NIPS 2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation NIPS 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence NIPS 2020
Generative 3D Part Assembly via Dynamic Graph Learning NIPS 2020
Graph Geometry Interaction Learning NIPS 2020
BoxE: A Box Embedding Model for Knowledge Base Completion NIPS 2020
CoSE: Compositional Stroke Embeddings NIPS 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining NIPS 2020
Manifold structure in graph embeddings NIPS 2020