Model Compression
1,736 papers
Papers per year
2
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2
6
3
4
6
15
39
65
130
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392
459
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Papers
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
EMNLP 2025
Scaling Down Text Encoders of Text-to-Image Diffusion Models
CVPR 2025
Scaling Laws and Efficient Inference for Ternary Language Models
ACL 2025
Scheduling Weight Transitions for Quantization-Aware Training
ICCV 2025
SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation
ACL 2025
SDBF: Steep-Decision-Boundary Fingerprinting for Hard-Label Tampering Detection of DNN Models
CVPR 2025
Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers
ICCV 2025
Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models
ACL 2025
SEPS: A Separability Measure for Robust Unlearning in LLMs
EMNLP 2025
Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity
EMNLP 2025
Similarity-Guided Layer-Adaptive Vision Transformer for UAV Tracking
CVPR 2025
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
AAAI 2025
Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster
EMNLP 2025
Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe
COLING 2025
SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression
EMNLP 2025
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
CVPR 2025
SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models
WACV 2025
Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs
ACL 2025
SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs
ICCV 2025
Sparsifying Mamba
EMNLP 2025
SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning
EMNLP 2025
Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications
ACL 2025
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs
EMNLP 2025
SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting
ICCV 2025
Staining and Locking Computer Vision Models Without Retraining
ICCV 2025