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Model Compression

1,736 papers

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Papers

Compatibility-Aware Heterogeneous Visual Search CVPR 2021 Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices Interspeech 2021 Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters AAAI 2021 Content-Aware GAN Compression CVPR 2021 Continual Learning in Task-Oriented Dialogue Systems EMNLP 2021 Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021 Cross-Layer Distillation with Semantic Calibration AAAI 2021 cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE EMNLP 2021 Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis AAAI 2021 Decomposable-Net: Scalable Low-Rank Compression for Neural Networks IJCAI 2021 Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization AAAI 2021 DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NeurIPS 2021 DeepReDuce: ReLU Reduction for Fast Private Inference ICML 2021 Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract) AAAI 2021 Demystifying and Generalizing BinaryConnect NeurIPS 2021 Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset ICML 2021 Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering NAACL 2021 Direction is what you need: Improving Word Embedding Compression in Large Language Models ACL 2021 DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks CVPR 2021 Disfluency Detection with Unlabeled Data and Small BERT Models Interspeech 2021 Distilling Linguistic Context for Language Model Compression EMNLP 2021 Distilling Object Detectors with Feature Richness NeurIPS 2021 Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces ICCV 2021 Distribution-Aware Adaptive Multi-Bit Quantization CVPR 2021 Diverse Branch Block: Building a Convolution as an Inception-Like Unit CVPR 2021