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model compression

3302 papers

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MC

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knowledge distillation (3725) large language model (13587) neural network (6616) efficient computing (781) neural network optimization (1293) transfer learning (5449) convolutional neural network (4226) neural network pruning (265) language model (4599) parameter efficiency (417)

Papers

Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers CVPR 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024
MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024
Look-Up Table Compression for Efficient Image Restoration CVPR 2024
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic EMNLP 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models EMNLP 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion EMNLP 2024
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models EMNLP 2024
TroL: Traversal of Layers for Large Language and Vision Models EMNLP 2024
Fixed Point Diffusion Models CVPR 2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning CVPR 2024
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers CVPR 2024
Clockwork Diffusion: Efficient Generation With Model-Step Distillation CVPR 2024
SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction CVPR 2024
Traceable Federated Continual Learning CVPR 2024
Scaled Decoupled Distillation CVPR 2024
Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection CVPR 2024
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation CVPR 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization NIPS 2024
Efficient Large Multi-modal Models via Visual Context Compression NIPS 2024
Expanding Sparse Tuning for Low Memory Usage NIPS 2024
UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond NIPS 2024