Zhangyang "Atlas" Wang
7 papers · 2023–2023 · 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
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Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
⚡
Prolific Year · Productive
Venues
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Research topics
Deep Learning
(6)
Machine Learning
(5)
Techniques
(4)
Application Areas
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Core AI
(2)
Generation
(2)
Models
(2)
Natural Language Processing
(1)
Architectures
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
neural network pruning
(2)
model compression
(2)
link prediction
(1)
image generation
(1)
self-supervised learning
(1)
graph representation learning
(1)
in-context learning
(1)
network pruning
(1)
image editing
(1)
graph structure
(1)
neural network optimization
(1)
spectral analysis
(1)
diffusion model
(1)
node classification
(1)
mixture of expert
(1)
vision-language model
(1)
data efficiency
(1)
sparse training
(1)
sparse neural network
(1)
inference efficiency
(1)
Papers
Don’t just prune by magnitude! Your mask topology is a secret weapon
NeurIPS 2023
Dynamic Sparsity Is Channel-Level Sparsity Learner
NeurIPS 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
NeurIPS 2023
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
NeurIPS 2023
In-Context Learning Unlocked for Diffusion Models
NeurIPS 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
NeurIPS 2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
NeurIPS 2023