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Machine Learning
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Model Compression
139 directly classified papers
Papers per year
2017: 1
2018: 2
2019: 7
2020: 9
2021: 18
2022: 19
2023: 15
2024: 31
2025: 37
Papers
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues
AAAI 2025
HoneypotNet: Backdoor Attacks Against Model Extraction
AAAI 2025
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers
AAAI 2025
OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting
AAAI 2025
A New Federated Learning Framework Against Gradient Inversion Attacks
AAAI 2025
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
AAAI 2025
Toward Efficient Data-Free Unlearning
AAAI 2025
ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization
AAAI 2025
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers
AAAI 2025
Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing
AAAI 2025
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
AAAI 2025
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
ACL 2025
Effective Data Distillation for Tabular Datasets (Student Abstract)
AAAI 2024
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training
AAAI 2024
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
AAAI 2024
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
AAAI 2024
PostMark: A Robust Blackbox Watermark for Large Language Models
EMNLP 2024
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts
ACL 2024
Data-Free Quantization via Pseudo-label Filtering
CVPR 2024
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
CVPR 2024
Self-Calibrating Vicinal Risk Minimisation for Model Calibration
CVPR 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
CVPR 2024
Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning
CVPR 2024
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
CVPR 2024
UniPTS: A Unified Framework for Proficient Post-Training Sparsity
CVPR 2024
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