Co-occurring keywords · papers mentioning both
Papers
MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer
CVPR 2024
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
NeurIPS 2024
Make RepVGG Greater Again: A Quantization-Aware Approach
AAAI 2024
mALBERT: Is a Compact Multilingual BERT Model Still Worth It?
COLING 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection
CVPR 2024
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
NeurIPS 2024
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions
EMNLP 2024
MaxQ: Multi-Axis Query for N:M Sparsity Network
CVPR 2024
MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval
NAACL 2024
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models
ACL 2024
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
ACL 2024
Memory-Efficient Fine-Tuning of Transformers via Token Selection
EMNLP 2024
Memory-Efficient LLM Training with Online Subspace Descent
NeurIPS 2024
Memory-Efficient Reversible Spiking Neural Networks
AAAI 2024
MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers
NeurIPS 2024
MERGE: Fast Private Text Generation
AAAI 2024
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
ICLR 2024
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
EMNLP 2024
MetaJND: A Meta-Learning Approach for Just Noticeable Difference Estimation
IJCAI 2024
MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization
AAAI 2024
mHuBERT-147: A Compact Multilingual HuBERT Model
Interspeech 2024
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
EMNLP 2024
Mini but Mighty: Finetuning ViTs With Mini Adapters
WACV 2024
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
NeurIPS 2024
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
EMNLP 2024