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Deep Learning
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Model Compression
124 directly classified papers
Papers per year
2016: 4
2017: 2
2018: 3
2019: 8
2020: 11
2021: 17
2022: 12
2023: 16
2024: 23
2025: 28
Papers
A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
CVPR 2025
Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation
CVPR 2025
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt. Generation for Enhanced LLM Content Moderation
ACL 2025
Quantization without Tears
CVPR 2025
Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks
CVPR 2025
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning
CVPR 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint
ACL 2025
Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models
ACL 2025
Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models
ACL 2025
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting
CVPR 2025
K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs
CVPR 2025
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models
ACL 2025
MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization
ACL 2025
Dual Information Purification for Lightweight SAR Object Detection
AAAI 2025
Numerical Pruning for Efficient Autoregressive Models
AAAI 2025
Treasures in Discarded Weights for LLM Quantization
AAAI 2025
Channel Merging: Preserving Specialization for Merged Experts
AAAI 2025
Security Attacks on LLM-based Code Completion Tools
AAAI 2025
Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization
AAAI 2025
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
ACL 2025
Accelerating Dense LLMs via L0-regularized Mixture-of-Experts
ACL 2025
Adversarial Diffusion Compression for Real-World Image Super-Resolution
CVPR 2025
LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models
ACL 2025
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
ACL 2025
GAP: a Global Adaptive Pruning Method for Large Language Models
EMNLP 2025
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