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Model Compression

1674 directly classified papers

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Papers

One-shot Neural Backdoor Erasing via Adversarial Weight Masking NIPS 2022
On-Device Training Under 256KB Memory NIPS 2022
TREC: Transient Redundancy Elimination-based Convolution NIPS 2022
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation NIPS 2022
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale NIPS 2022
Get More at Once: Alternating Sparse Training with Gradient Correction NIPS 2022
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach NIPS 2022
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation NIPS 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm NIPS 2022
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization IJCAI 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server IJCAI 2022
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes IJCAI 2022
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation IJCAI 2022
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking IJCAI 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning NIPS 2022
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model NIPS 2022
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer NIPS 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance NIPS 2022
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise NIPS 2022
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks NIPS 2022
Data-Efficient Structured Pruning via Submodular Optimization NIPS 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions NIPS 2022
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training NIPS 2022
Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks IJCNLP 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching AACL 2022