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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Model Compression
10 directly classified papers
Papers per year
2018: 1
2022: 1
2023: 1
2024: 1
2025: 6
Papers
Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?
CVPR 2025
Hypernetworks for Perspectivist Adaptation
EMNLP 2025
Talking Head Anime 4: Distillation for Real-Time Performance
WACV 2025
SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation
ACL 2025
MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts
ACL 2025
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models
ACL 2025
JointSQ: Joint Sparsification-Quantization for Distributed Learning
CVPR 2024
SAFE: Machine Unlearning With Shard Graphs
ICCV 2023
Quantized Training of Gradient Boosting Decision Trees
NIPS 2022
WSNet: Compact and Efficient Networks Through Weight Sampling
ICML 2018
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