model compression

Tree in Tree: from Decision Trees to Decision Graphs NeurIPS 2021 Tree-Like Decision Distillation CVPR 2021 TRQ: Ternary Neural Networks With Residual Quantization AAAI 2021 UMEC: Unified model and embedding compression for efficient recommendation systems ICLR 2021 Uncertainty-aware Binary Neural Networks IJCAI 2021 UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings EMNLP 2021 Understanding and Overcoming the Challenges of Efficient Transformer Quantization EMNLP 2021 Understanding Robustness of Transformers for Image Classification ICCV 2021 Undistillable: Making A Nasty Teacher That CANNOT teach students ICLR 2021 Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation EMNLP 2021 Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly NeurIPS 2021 Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources CVPR 2021 Wasserstein Contrastive Representation Distillation CVPR 2021 Weight Distillation: Transferring the Knowledge in Neural Network Parameters ACL 2021 When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute EMNLP 2021 Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering EMNLP 2021 Winning Lottery Tickets in Deep Generative Models AAAI 2021 YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design AAAI 2021 Zero-Shot Adversarial Quantization CVPR 2021 Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model ICML 2021 A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection CVPR 2020 Accelerating Natural Language Understanding in Task-Oriented Dialog ACL 2020 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020 AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020 AdapterHub: A Framework for Adapting Transformers EMNLP 2020