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Artificial Intelligence
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Model Compression
1928 directly classified papers
Papers per year
2013: 2
2014: 1
2015: 6
2016: 4
2017: 13
2018: 47
2019: 81
2020: 114
2021: 172
2022: 191
2023: 272
2024: 370
2025: 489
2026: 166
Papers
MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer
CVPR 2024
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
AAAI 2024
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
NIPS 2024
Adapters Strike Back
CVPR 2024
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts
NIPS 2024
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
CVPR 2024
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
CVPR 2024
QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion
NIPS 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning
CVPR 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
NIPS 2024
Quantization of Large Language Models with an Overdetermined Basis
UAI 2024
Learning to Compress Prompt in Natural Language Formats
NAACL 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
NIPS 2024
Data-Free Quantization via Pseudo-label Filtering
CVPR 2024
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
NIPS 2024
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
EMNLP 2024
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
CVPR 2024
Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks
NAACL 2024
Efficient Multitask Dense Predictor via Binarization
CVPR 2024
Compact 3D Gaussian Representation for Radiance Field
CVPR 2024
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
AAAI 2024
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
NIPS 2024
On the Robustness of Neural Models for Full Sentence Transformation
NAACL 2024
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
COLING 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
NIPS 2024
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