model compression

Efficient Transformer Knowledge Distillation: A Performance Review EMNLP 2023 EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention CVPR 2023 EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning ACL 2023 ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices ICCV 2023 EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization ICCV 2023 Enhancing Abstractiveness of Summarization Models through Calibrated Distillation EMNLP 2023 Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization EMNLP 2023 Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing EMNLP 2023 Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution CVPR 2023 ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023 Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training ICCV 2023 Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain EMNLP 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 Exploiting Network Compressibility and Topology in Zero-Cost NAS AutoML 2023 Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation EMNLP 2023 Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation CVPR 2023 Exploring the Relative Value of Collaborative Optimisation Pathways (Student Abstract) AAAI 2023 Exploring Transformers as Compact, Data-efficient Language Models CoNLL 2023 Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework AAAI 2023 Extremely Low Bit Quantization for Mobile Speaker Verification Systems Under 1MB Memory Interspeech 2023 FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer AAAI 2023 Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression ACML 2023 Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023 FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices EMNLP 2023 Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping AAAI 2023