← Learning Types
Machine Learning › Learning Types ›

Model Compression

139 directly classified papers

Papers per year

Papers

Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training NIPS 2022
Advancing Model Pruning via Bi-level Optimization NIPS 2022
Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021
Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging EMNLP 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression EMNLP 2021
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference EMNLP 2021
Dynamic Domain Adaptation for Efficient Inference CVPR 2021
Finding Sparse Structures for Domain Specific Neural Machine Translation AAAI 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks AAAI 2021
Simple and Effective Stochastic Neural Networks AAAI 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification NIPS 2021
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression NIPS 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework NIPS 2021
Learning Frequency Domain Approximation for Binary Neural Networks NIPS 2021
An Efficient Transformer Decoder with Compressed Sub-layers AAAI 2021
Learnable Companding Quantization for Accurate Low-Bit Neural Networks CVPR 2021
FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings EMNLP 2020
TernaryBERT: Distillation-aware Ultra-low Bit BERT EMNLP 2020
Pruning neural networks without any data by iteratively conserving synaptic flow NIPS 2020
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NIPS 2020
Pruning Filter in Filter NIPS 2020