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model compression

3283 papers

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MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

Mixed-Privacy Forgetting in Deep Networks CVPR 2021
Network Quantization With Element-Wise Gradient Scaling CVPR 2021
Optimal Quantization Using Scaled Codebook CVPR 2021
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models ACL 2021
Robust Transfer Learning with Pretrained Language Models through Adapters ACL 2021
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP ACL 2021
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval EMNLP 2021
Channel-Wise Knowledge Distillation for Dense Prediction ICCV 2021
KiloNeRF: Speeding Up Neural Radiance Fields With Thousands of Tiny MLPs ICCV 2021
Learning Language Specific Sub-network for Multilingual Machine Translation ACL 2021
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks ACL 2021
LeeBERT: Learned Early Exit for BERT with cross-level optimization ACL 2021
ReadOnce Transformers: Reusable Representations of Text for Transformers ACL 2021
Binary Neural Network for Speaker Verification INTERSPEECH 2021
Amortized Neural Networks for Low-Latency Speech Recognition INTERSPEECH 2021
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers NIPS 2021
RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions ICCV 2021
Instance-Conditional Knowledge Distillation for Object Detection NIPS 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation NIPS 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021
CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method NIPS 2021
Post-Training Sparsity-Aware Quantization NIPS 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout NIPS 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks NIPS 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes NIPS 2021