model compression

DoCoFL: Downlink Compression for Cross-Device Federated Learning ICML 2023 DOT: A Distillation-Oriented Trainer ICCV 2023 Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL 2023 Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection ICML 2023 DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models Interspeech 2023 DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models ACL 2023 Dual Relation Knowledge Distillation for Object Detection IJCAI 2023 Dynamic and Efficient Inference for Text Generation via BERT Family ACL 2023 Dynamic Inference With Grounding Based Vision and Language Models CVPR 2023 Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023 Dynamic Sparsity Is Channel-Level Sparsity Learner NeurIPS 2023 Dynamic Structure Pruning for Compressing CNNs AAAI 2023 EELBERT: Tiny Models through Dynamic Embeddings EMNLP 2023 EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs AAAI 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 Efficient Controllable Multi-Task Architectures ICCV 2023 Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning AAAI 2023 Efficient Image Captioning for Edge Devices AAAI 2023 Efficient Low-rank Backpropagation for Vision Transformer Adaptation NeurIPS 2023 Efficient Multilingual Language Model Compression through Vocabulary Trimming EMNLP 2023 Efficient Multimodal Fusion via Interactive Prompting CVPR 2023 Efficient On-Device Training via Gradient Filtering CVPR 2023 Efficient RGB-T Tracking via Cross-Modality Distillation CVPR 2023 Efficient Skeleton-Based Action Recognition via Joint-Mapping Strategies WACV 2023 Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout AAAI 2023