model compression

Models Teaching Models: Improving Model Accuracy with Slingshot Learning EACL 2023 Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks ACL 2023 Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference ACL 2023 Module-wise Adaptive Distillation for Multimodality Foundation Models NeurIPS 2023 MSCFFN: A New FFN with Multi-Space Cross to Accelerate Transformer EMNLP 2023 MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree ICCV 2023 MULLER: Multilayer Laplacian Resizer for Vision ICCV 2023 Multi-Level Logit Distillation CVPR 2023 Multilingual Lottery Tickets to Pretrain Language Models EMNLP 2023 Multiplication-Free Transformer Training via Piecewise Affine Operations NeurIPS 2023 Multi-teacher Distillation for Multilingual Spelling Correction EMNLP 2023 MUX-PLMs: Data Multiplexing for High-throughput Language Models EMNLP 2023 MUX-PLMs: Pre-training Language Models with Data Multiplexing ACL 2023 NarrowBERT: Accelerating Masked Language Model Pretraining and Inference ACL 2023 NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models EMNLP 2023 Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023 Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023 NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers CVPR 2023 NORM: Knowledge Distillation via N-to-One Representation Matching ICLR 2023 No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models NeurIPS 2023 NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning ICML 2023 OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023 On Distillation of Guided Diffusion Models CVPR 2023 One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation NeurIPS 2023 One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning NeurIPS 2023