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model compression

3302 papers

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MC

Co-occurring keywords

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

FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation WACV 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
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion NIPS 2024
Instance-Aware Group Quantization for Vision Transformers CVPR 2024
Towards Accurate Post-training Quantization for Diffusion Models CVPR 2024
Asymmetric Masked Distillation for Pre-Training Small Foundation Models CVPR 2024
Clockwork Diffusion: Efficient Generation With Model-Step Distillation CVPR 2024
Rethinking Knowledge Distillation With Raw Features for Semantic Segmentation WACV 2024
AFPQ: Asymmetric Floating Point Quantization for LLMs ACL 2024
VkD: Improving Knowledge Distillation using Orthogonal Projections CVPR 2024
Frequency Attention for Knowledge Distillation WACV 2024
Gradient-Guided Knowledge Distillation for Object Detectors WACV 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024
Look-Up Table Compression for Efficient Image Restoration CVPR 2024
MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024
SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction CVPR 2024
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire! ACL 2024
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything CVPR 2024
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design CVPR 2024
On the Impact of Calibration Data in Post-training Quantization and Pruning ACL 2024
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024
Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space ACL 2024