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Model Compression

1674 directly classified papers

Papers per year

Papers

Soft Threshold Ternary Networks IJCAI 2020
Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020
Reducing Underflow in Mixed Precision Training by Gradient Scaling IJCAI 2020
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning IJCAI 2020
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems IJCAI 2020
Towards Fully 8-bit Integer Inference for the Transformer Model IJCAI 2020
Learning Sparse Neural Networks for Better Generalization IJCAI 2020
Efficient and Modularized Training on FPGA for Real-time Applications IJCAI 2020
Robust Quantization: One Model to Rule Them All NIPS 2020
Bayesian Bits: Unifying Quantization and Pruning NIPS 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers NIPS 2020
Pruning neural networks without any data by iteratively conserving synaptic flow NIPS 2020
Rotated Binary Neural Network NIPS 2020
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models ACL 2020
Knowledge Graph Embedding Compression ACL 2020
Weight Poisoning Attacks on Pretrained Models ACL 2020
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020
Adaptive Compression of Word Embeddings ACL 2020
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering ACL 2020
Distilling Neural Networks for Greener and Faster Dependency Parsing ACL 2020
Efficient EUD Parsing ACL 2020
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020
Model Watermarking for Image Processing Networks AAAI 2020
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations AAAI 2020