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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

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
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner NIPS 2024
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NIPS 2024
Cross-model Control: Improving Multiple Large Language Models in One-time Training NIPS 2024
Toward Efficient Inference for Mixture of Experts NIPS 2024
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization IJCAI 2024
MetaJND: A Meta-Learning Approach for Just Noticeable Difference Estimation IJCAI 2024
Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models IJCAI 2024
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward IJCAI 2024
TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge NIPS 2024
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NIPS 2024
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs NIPS 2024
Further Compressing Distilled Language Models via Frequency-aware Partial Sparse Coding of Embeddings CONLL 2024
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024
Memory-Efficient Reversible Spiking Neural Networks AAAI 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts AAAI 2024
Transformer as Linear Expansion of Learngene AAAI 2024