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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
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration
CVPR 2025
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
ICCV 2025
GAP: a Global Adaptive Pruning Method for Large Language Models
EMNLP 2025
Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection
ICCV 2025
Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation
CVPR 2025
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
CVPR 2025
FlashSloth : Lightning Multimodal Large Language Models via Embedded Visual Compression
CVPR 2025
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
CVPR 2025
Task-Specific Zero-shot Quantization-Aware Training for Object Detection
ICCV 2025
ICP: Immediate Compensation Pruning for Mid-to-high Sparsity
CVPR 2025
Libra-Merging: Importance-redundancy and Pruning-merging Trade-off for Acceleration Plug-in in Large Vision-Language Model
CVPR 2025
ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints
ICCV 2025
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba
ICCV 2025
OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models
ICCV 2025
Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?
CVPR 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
CVPR 2025
Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping
ICCV 2025
Knowledge Distillation for Learned Image Compression
ICCV 2025
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing
CVPR 2025
SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting
ICCV 2025
Mobile Video Diffusion
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
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation
ICCV 2025
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
ICCV 2025
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