David P Wipf
6 papers · 2022–2022 · 1 venue · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Architectures
(4)
Learning Types · Deep Learning
(3)
Core Methods
(2)
Optimization & Theory · Machine Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Analysis
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
representation learning
(2)
node classification
(2)
energy function
(2)
manifold learning
(1)
self-supervised learning
(1)
test-time adaptation
(1)
energy minimization
(1)
object tracking
(1)
neural network optimization
(1)
model interpretability
(1)
message passing
(1)
occlusion handling
(1)
manifold dimension
(1)
graph structure learning
(1)
bilevel optimization
(1)
latent variable model
(1)
tabular data
(1)
temporal consistency
(1)
heterogeneous graph neural network
(1)
conditional variational autoencoder
(1)
Papers
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks
NeurIPS 2022
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation
NeurIPS 2022
Learning Manifold Dimensions with Conditional Variational Autoencoders
NeurIPS 2022
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
NeurIPS 2022
Self-supervised Amodal Video Object Segmentation
NeurIPS 2022
Transformers from an Optimization Perspective
NeurIPS 2022