Artificial Intelligence › Core AI ›

Model Compression

1928 directly classified papers

Papers per year

Papers

One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training ICCV 2023

AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression ACL 2023

One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning ACL 2023

azaad@BND at SemEval-2023 Task 2: How to Go from a Simple Transformer Model to a Better Model to Get Better Results in Natural Language Processing SEMEVAL 2023

garNER at SemEval-2023: Simplified Knowledge Augmentation for Multilingual Complex Named Entity Recognition SEMEVAL 2023

UMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African Languages SEMEVAL 2023

Lifting the Curse of Capacity Gap in Distilling Language Models ACL 2023

SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models UAI 2023

Parameter-Efficient Fine-Tuning without Introducing New Latency ACL 2023

MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree ICCV 2023

Tiny Updater: Towards Efficient Neural Network-Driven Software Updating ICCV 2023

RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers ICCV 2023

Learned Compressive Representations for Single-Photon 3D Imaging ICCV 2023

Optimizing Retrieval-augmented Reader Models via Token Elimination EMNLP 2023

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning EMNLP 2023

Exploring Transformers as Compact, Data-efficient Language Models EMNLP 2023

One Wide Feedforward Is All You Need EMNLP 2023

Differentiable Transportation Pruning ICCV 2023

Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023

Exploring Transformers as Compact, Data-efficient Language Models CONLL 2023

GWQ: Group-Wise Quantization Framework for Neural Networks ACML 2023

RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data EMNLP 2023

Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP 2023

MeaeQ: Mount Model Extraction Attacks with Efficient Queries EMNLP 2023

Shortcut-V2V: Compression Framework for Video-to-Video Translation Based on Temporal Redundancy Reduction ICCV 2023