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Model Compression

1503 directly classified papers

Papers per year

Papers

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV 2025
VRCP: Vocabulary Replacement Continued Pretraining for Efficient Multilingual Language Models COLING 2025
Scaling Action Detection: AdaTAD++ with Transformer-Enhanced Temporal-Spatial Adaptation ICCV 2025
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025
MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization ACL 2025
Scaling Laws and Efficient Inference for Ternary Language Models ACL 2025
Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models EMNLP 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs ACL 2025
ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity ICCV 2025
LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering ACL 2025
Grouped Speculative Decoding for Autoregressive Image Generation ICCV 2025
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025
FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance ICCV 2025
Multilingual Iterative Model Pruning: What Matters? IJCNLP 2025
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement ICCV 2025
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models ACL 2025
AIRA: Activation-Informed Low-Rank Adaptation for Large Models ICCV 2025
Multi-Attribute Steering of Language Models via Targeted Intervention ACL 2025
QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation ICCV 2025
Maximizing the Effectiveness of Larger BERT Models for Compression ACL 2025
TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning ICCV 2025
LangCompress: Language-Aware Compression of Large Language Models IJCNLP 2025
Staining and Locking Computer Vision Models Without Retraining ICCV 2025
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting ACL 2025
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025