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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

Low-Rank Prune-And-Factorize for Language Model Compression COLING 2024
DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer COLING 2024
On the Way to Lossless Compression of Language Transformers: Exploring Cross-Domain Properties of Quantization COLING 2024
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices COLING 2024
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation NIPS 2024
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts COLING 2024
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NIPS 2024
Aligning Logits Generatively for Principled Black-Box Knowledge Distillation CVPR 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving CVPR 2024
JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024
Task-agnostic Distillation of Encoder-Decoder Language Models COLING 2024
Sinkhorn Distance Minimization for Knowledge Distillation COLING 2024
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models COLING 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis NIPS 2024
Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024
Efficient AMR Parsing with CLAP: Compact Linearization with an Adaptable Parser COLING 2024
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers NIPS 2024
Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation IJCAI 2024
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis CVPR 2024
Data-Free Quantization via Pseudo-label Filtering CVPR 2024
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs NIPS 2024
AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution CVPR 2024
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning CVPR 2024
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis CVPR 2024