Model Compression

Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization ACL 2023 Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation ICCV 2023 CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models NeurIPS 2023 Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer NeurIPS 2023 Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search Interspeech 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization ICCV 2023 Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023 Co-evolving data-driven and NLU-driven Synthesizers for Generating Code in Domain Growth and Data Scarcity EMNLP 2023 Compacting Binary Neural Networks by Sparse Kernel Selection CVPR 2023 Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023 Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023 Compressing Context to Enhance Inference Efficiency of Large Language Models EMNLP 2023 Compressing Cross-Lingual Multi-Task Models at Qualtrics AAAI 2023 Condensing Multilingual Knowledge with Lightweight Language-Specific Modules EMNLP 2023 Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity JMLR 2023 Context Compression for Auto-regressive Transformers with Sentinel Tokens EMNLP 2023 CrAM: A Compression-Aware Minimizer ICLR 2023 CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model EMNLP 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 Data-Free Class-Incremental Hand Gesture Recognition ICCV 2023 Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint CVPR 2023 Data Pruning for Efficient Model Pruning in Neural Machine Translation EMNLP 2023 Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression ICCV 2023 Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time ICML 2023 DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization ICCV 2023