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Model Compression
1503 directly classified papers
Papers per year
2006: 2
2010: 2
2011: 1
2013: 5
2014: 3
2015: 4
2016: 3
2017: 14
2018: 36
2019: 55
2020: 117
2021: 171
2022: 172
2023: 175
2024: 331
2025: 402
2026: 10
Papers
PTMQ: Post-training Multi-Bit Quantization of Neural Networks
AAAI 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
AAAI 2024
Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection
SEMEVAL 2024
DTL: Disentangled Transfer Learning for Visual Recognition
AAAI 2024
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process
AAAI 2024
PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization
CVPR 2024
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
NIPS 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
CVPR 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data
AISTATS 2024
Look-Up Table Compression for Efficient Image Restoration
CVPR 2024
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
CVPR 2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
CVPR 2024
TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection
SEMEVAL 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
NIPS 2024
Adaptive Compression in Federated Learning via Side Information
AISTATS 2024
Asymmetric Masked Distillation for Pre-Training Small Foundation Models
CVPR 2024
Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets
EACL 2024
Efficient Stitchable Task Adaptation
CVPR 2024
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
CVPR 2024
Towards Accurate Post-training Quantization for Diffusion Models
CVPR 2024
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection
CVPR 2024
Instance-Aware Group Quantization for Vision Transformers
CVPR 2024
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement
CVPR 2024
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
CVPR 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization
NIPS 2024
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