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Methodology
← Optimization & Theory
Deep Learning
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Optimization & Theory
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Model Compression
1674 directly classified papers
Papers per year
2012: 1
2013: 2
2014: 2
2015: 7
2016: 9
2017: 27
2018: 51
2019: 79
2020: 189
2021: 165
2022: 206
2023: 207
2024: 325
2025: 399
2026: 5
Papers
PLeaS - Merging Models with Permutations and Least Squares
CVPR 2025
Scaling Down Text Encoders of Text-to-Image Diffusion Models
CVPR 2025
Efficient Vocabulary Reduction for Small Language Models
COLING 2025
BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning
CVPR 2025
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
WACV 2024
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
ACL 2024
4K-Resolution Photo Exposure Correction at 125 FPS With ~8K Parameters
WACV 2024
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models
NIPS 2024
Token Fusion: Bridging the Gap Between Token Pruning and Token Merging
WACV 2024
FasterVD: On Acceleration of Video Diffusion Models
IJCAI 2024
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
IJCAI 2024
LocMoE: A Low-overhead MoE for Large Language Model Training
IJCAI 2024
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
IJCAI 2024
FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer
WACV 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
CVPR 2024
Adaptive Depth Networks with Skippable Sub-Paths
NIPS 2024
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
IJCAI 2024
Probabilistically Robust Watermarking of Neural Networks
IJCAI 2024
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
IJCAI 2024
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models
IJCAI 2024
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
NIPS 2024
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder
IJCAI 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
NIPS 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
NIPS 2024
Binarized Diffusion Model for Image Super-Resolution
NIPS 2024
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