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

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything CVPR 2024

SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design CVPR 2024

Spear: Evaluate the Adversarial Robustness of Compressed Neural Models IJCAI 2024

Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024

Find the Lady: Permutation and Re-synchronization of Deep Neural Networks AAAI 2024

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024

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