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Model Compression

1,718 papers

Papers per year

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Papers

On the Limits of Minimal Pairs in Contrastive Evaluation EMNLP 2021
Specializing Multilingual Language Models: An Empirical Study EMNLP 2021
Shrinking Bigfoot: Reducing wav2vec 2.0 footprint EMNLP 2021
Findings of the WMT 2021 Shared Task on Efficient Translation EMNLP 2021
Efficient Machine Translation with Model Pruning and Quantization EMNLP 2021
HW-TSC’s Participation in the WMT 2021 Efficiency Shared Task EMNLP 2021
The NiuTrans System for the WMT 2021 Efficiency Task EMNLP 2021
TenTrans High-Performance Inference Toolkit for WMT2021 Efficiency Task EMNLP 2021
Papago’s Submission for the WMT21 Quality Estimation Shared Task EMNLP 2021
cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE EMNLP 2021
Pruning Neural Machine Translation for Speed Using Group Lasso EMNLP 2021
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting ICCV 2021
SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam ICCV 2021
Lipschitz Continuity Guided Knowledge Distillation ICCV 2021
Self-Born Wiring for Neural Trees ICCV 2021
Bit-Mixer: Mixed-Precision Networks With Runtime Bit-Width Selection ICCV 2021
Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search ICCV 2021
Towards Memory-Efficient Neural Networks via Multi-Level In Situ Generation ICCV 2021
Bias Loss for Mobile Neural Networks ICCV 2021
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing ICCV 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks ICCV 2021
Dynamic Dual Gating Neural Networks ICCV 2021
EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS ICCV 2021
FATNN: Fast and Accurate Ternary Neural Networks ICCV 2021
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces ICCV 2021