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Model Compression

1,785 papers

Papers per year

7
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419
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'25

Papers

Efficient Neural Network Encoding for 3D Color Lookup Tables AAAI 2025
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models AAAI 2025
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks AAAI 2025
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation AAAI 2025
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers AAAI 2025
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI 2025
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers AAAI 2025
OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles AAAI 2025
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models AAAI 2025
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference AAAI 2025
Multimodal Promptable Token Merging for Diffusion Models AAAI 2025
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models AAAI 2025
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression AAAI 2025
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers AAAI 2025
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting AAAI 2025
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement AAAI 2025
Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy AAAI 2025
Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction AAAI 2025
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. AAAI 2025
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning AAAI 2025