model compression

3283 papers

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MC

Co-occurring keywords

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

Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition ACL 2025

An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation AAAI 2025

Demystifying Small Language Models for Edge Deployment ACL 2025

Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation EMNLP 2025

A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025

MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection ACL 2025

WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models CVPR 2025

“Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM Quantization ACL 2025

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting CVPR 2025

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models ACL 2025

Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers ICCV 2025

MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025

Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models EMNLP 2025

Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation ICCV 2025

LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation ICCV 2025

Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning ICCV 2025

Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. AAAI 2025

General Compression Framework for Efficient Transformer Object Tracking ICCV 2025

CIARD: Cyclic Iterative Adversarial Robustness Distillation ICCV 2025

Local Dense Logit Relations for Enhanced Knowledge Distillation ICCV 2025

AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025

Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM ICCV 2025

EA-Vit: Efficient Adaptation for Elastic Vision Transformer ICCV 2025

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers AAAI 2025