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← Optimization & Theory
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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
Less is More: Empowering GUI Agent with Context-Aware Simplification
ICCV 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model
ICCV 2025
Inference-Time Diffusion Model Distillation
ICCV 2025
Outlier-Aware Post-Training Quantization for Image Super-Resolution
ICCV 2025
Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration
ICCV 2025
MSQ: Memory-Efficient Bit Sparsification Quantization
ICCV 2025
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning
ICCV 2025
Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning
ICCV 2025
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels
ICCV 2025
TCFG: Truncated Classifier-Free Guidance for Efficient and Scalable Text-to-Image Acceleration
ICCV 2025
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
ICCV 2025
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
ICCV 2025
SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference
ICCV 2025
ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity
ICCV 2025
Efficient Input-level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation
ICCV 2025
ViT-Linearizer: Distilling Quadratic Knowledge into Linear-Time Vision Models
ICCV 2025
FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance
ICCV 2025
DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
ICCV 2025
AIRA: Activation-Informed Low-Rank Adaptation for Large Models
ICCV 2025
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation
ICCV 2025
QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation
ICCV 2025
TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning
ICCV 2025
EA-KD: Entropy-based Adaptive Knowledge Distillation
ICCV 2025
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
ICCV 2025
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
AAAI 2025
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