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Model Compression

1,785 papers

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Papers

Continual Learning via Bit-Level Information Preserving CVPR 2021
Content-Aware GAN Compression CVPR 2021
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models CVPR 2021
Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks CVPR 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning CVPR 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021
Diversifying Sample Generation for Accurate Data-Free Quantization CVPR 2021
Scaled-YOLOv4: Scaling Cross Stage Partial Network CVPR 2021
Knowledge Evolution in Neural Networks CVPR 2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
Learnable Companding Quantization for Accurate Low-Bit Neural Networks CVPR 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks CVPR 2021
Binary Graph Neural Networks CVPR 2021
RaScaNet: Learning Tiny Models by Raster-Scanning Images CVPR 2021
Practical Single-Image Super-Resolution Using Look-Up Table CVPR 2021
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures CVPR 2021
Troubleshooting Blind Image Quality Models in the Wild CVPR 2021
Skip-Convolutions for Efficient Video Processing CVPR 2021
MoViNets: Mobile Video Networks for Efficient Video Recognition CVPR 2021
Multi-split Reversible Transformers Can Enhance Neural Machine Translation EACL 2021
Learning Compact Metrics for MT EMNLP 2021
Disentangling Representations of Text by Masking Transformers EMNLP 2021