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← 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
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing
WACV 2025
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration
CVPR 2025
AMP-ViT: Optimizing Vision Transformer Efficiency with Adaptive Mixed-Precision Post-Training Quantization
WACV 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey
IJCAI 2025
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation
WACV 2025
Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions
ICCV 2025
Data Generation for Hardware-Friendly Post-Training Quantization
WACV 2025
SMamba: Sparse Mamba for Event-based Object Detection
AAAI 2025
LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones
WACV 2025
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
CVPR 2025
TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration
WACV 2025
Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning
ICCV 2025
eLIR-Net: An Efficient AI Solution for Image Retouching
WACV 2025
Binary Event-Driven Spiking Transformer
IJCAI 2025
SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models
WACV 2025
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning
ICCV 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency
WACV 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model
ICCV 2025
Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation
WACV 2025
WINS: Winograd Structured Pruning for Fast Winograd Convolution
ICCV 2025
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers
AAAI 2025
Inference-Time Diffusion Model Distillation
ICCV 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
AAAI 2025
Outlier-Aware Post-Training Quantization for Image Super-Resolution
ICCV 2025
Adaptive LoRA Merge with Parameter Pruning for Low-Resource Generation
ACL 2025
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