model compression

3283 papers

Explore in graph

Also known as

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

Compression-Aware Computing for Scalable and Sustainable AI AAAI 2025

NAAM: Node-Aware Attention Mechanism for Distilling GNNs-to-MLP (Student Abstract) AAAI 2025

A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract) AAAI 2025

Inference-Time Diffusion Model Distillation ICCV 2025

VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers AAAI 2025

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models AAAI 2025

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

Instant Adversarial Purification with Adversarial Consistency Distillation CVPR 2025

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

Numerical Pruning for Efficient Autoregressive Models AAAI 2025

Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference AAAI 2025

Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks AAAI 2025

AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025

Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training AAAI 2025

DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers ICCV 2025

Memory-Efficient Generative Models via Product Quantization ICCV 2025

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning ICCV 2025

ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation ICCV 2025

One-Shot Knowledge Transfer for Scalable Person Re-Identification ICCV 2025

A Good Teacher Adapts Their Knowledge for Distillation ICCV 2025

MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning ICCV 2025

Task-Specific Zero-shot Quantization-Aware Training for Object Detection ICCV 2025

Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark ICCV 2025

What to Distill? Fast Knowledge Distillation with Adaptive Sampling ICCV 2025

EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models ACL 2025