Model Compression
2,258 papers
Papers per year
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1
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13
62
86
130
176
212
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615
206
'15
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'25
Papers
Rethinking Low-Rank Adaptation in Vision: Exploring Head-Level Responsiveness Across Diverse Tasks
WACV 2025
Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective
IJCAI 2025
Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn’t Matter (Much)
IJCNLP 2025
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
ACL 2025
Revisiting Pruning vs Quantization for Small Language Models
EMNLP 2025
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space
ACL 2025
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs
EMNLP 2025
Riemannian Optimization for LoRA on the Stiefel Manifold
EMNLP 2025
Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation
ICML 2025
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy
AAAI 2025
RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
ICLR 2025
Robust SAM: On the Adversarial Robustness of Vision Foundation Models
AAAI 2025
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
ICLR 2025
Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer
EMNLP 2025
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
ICLR 2025
RQT: Hierarchical Residual Quantization for Multi-Model Compression
ACL 2025
SAFE: Finding Sparse and Flat Minima to Improve Pruning
ICML 2025
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
ACL 2025
SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation
ICLR 2025
Sample-aware Adaptive Structured Pruning for Large Language Models
AAAI 2025
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
AAAI 2025
Scaling Laws for Floating–Point Quantization Training
ICML 2025
ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction
AAAI 2025
SDBF: Steep-Decision-Boundary Fingerprinting for Hard-Label Tampering Detection of DNN Models
CVPR 2025
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
ICLR 2025