model compression

3283 papers

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MC

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knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

Efficient Traffic Prediction Through Spatio-Temporal Distillation AAAI 2025

CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation COLING 2025

Real-Time Neural Denoising with Render-Aware Knowledge Distillation AAAI 2025

Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace COLING 2025

Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe COLING 2025

RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy AAAI 2025

Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models EMNLP 2025

ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization AAAI 2025

Efficient Diffusion as Low Light Enhancer CVPR 2025

Achieving Lightweight Super-Resolution for Real-Time Computer Graphics AAAI 2025

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025

GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers AAAI 2025

Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles AAAI 2025

General Compression Framework for Efficient Transformer Object Tracking ICCV 2025

Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval CVPR 2025

MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices CVPR 2025

EdgeTAM: On-Device Track Anything Model CVPR 2025

DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge CVPR 2025

MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning CVPR 2025

CoA: Towards Real Image Dehazing via Compression-and-Adaptation CVPR 2025

Findings of the WMT 2025 Shared Task on Model Compression: Early Insights on Compressing LLMs for Machine Translation EMNLP 2025

Iterative Layer Pruning for Efficient Translation Inference EMNLP 2025

Vicomtech@WMT 2025: Evolutionary Model Compression for Machine Translation EMNLP 2025

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer ICCV 2025

Pretraining Context Compressor for Large Language Models with Embedding-Based Memory ACL 2025