Co-occurring keywords · papers mentioning both
Papers
SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion
ICML 2025
Even Sparser Graph Transformers
NeurIPS 2024
Optimal and Approximate Adaptive Stochastic Quantization
NeurIPS 2024
Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract)
IJCAI 2023
Memory-Constrained Algorithms for Convex Optimization
NeurIPS 2023
Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal
COLT 2023
Learned Queries for Efficient Local Attention
CVPR 2022
On The Memory Complexity of Uniformity Testing
COLT 2022
Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks
IJCAI 2021
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
ICML 2021
Efficient Attention: Attention With Linear Complexities
WACV 2021
Self-Attention Networks Can Process Bounded Hierarchical Languages
ACL 2021
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
NeurIPS 2019
Reversible GANs for Memory-Efficient Image-To-Image Translation
CVPR 2019
Detecting Correlations with Little Memory and Communication
COLT 2018
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order
ICML 2018
Approximate Policy Iteration Schemes: A Comparison
ICML 2014
Memory Limited, Streaming PCA
NeurIPS 2013