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Model Compression

1503 directly classified papers

Papers per year

Papers

Demystifying and Generalizing BinaryConnect NIPS 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation NIPS 2021
Channel Permutations for N:M Sparsity NIPS 2021
Instance-Conditional Knowledge Distillation for Object Detection NIPS 2021
Post-Training Sparsity-Aware Quantization NIPS 2021
Boost Neural Networks by Checkpoints NIPS 2021
Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021
Isotonic Data Augmentation for Knowledge Distillation IJCAI 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation IJCAI 2021
Against Membership Inference Attack: Pruning is All You Need IJCAI 2021
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks IJCAI 2021
Uncertainty-aware Binary Neural Networks IJCAI 2021
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NIPS 2021
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation ACL 2021
Weight Distillation: Transferring the Knowledge in Neural Network Parameters ACL 2021
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation ACL 2021
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices IJCAI 2021
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression IJCAI 2021
Training Neural Networks with Fixed Sparse Masks NIPS 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks NIPS 2021
Pruning Neural Machine Translation for Speed Using Group Lasso EMNLP 2021
TenTrans High-Performance Inference Toolkit for WMT2021 Efficiency Task EMNLP 2021
The NiuTrans System for the WMT 2021 Efficiency Task EMNLP 2021
HW-TSC’s Participation in the WMT 2021 Efficiency Shared Task EMNLP 2021