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neural network compression

114 papers

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Also known as

NN

Co-occurring keywords

model compression (3283) neural network (6616) knowledge distillation (3680) model quantization (279) neural network pruning (265) neural network optimization (1293) model pruning (233) convolutional neural network (4216) transfer learning (5442) network pruning (183)

Papers

Recasting Self-Attention with Holographic Reduced Representations ICML 2023
Approximating Two-Layer Feedforward Networks for Efficient Transformers EMNLP 2023
2-bit Conformer quantization for automatic speech recognition INTERSPEECH 2023
A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers ACML 2023
Adaptive Data-Free Quantization CVPR 2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection EMNLP 2023
Dynamic Structure Pruning for Compressing CNNs AAAI 2023
Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility JMLR 2023
Tiny Updater: Towards Efficient Neural Network-Driven Software Updating ICCV 2023
MARS: Masked Automatic Ranks Selection in Tensor Decompositions AISTATS 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023
GWQ: Group-Wise Quantization Framework for Neural Networks ACML 2023
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise NIPS 2022
Data-Efficient Structured Pruning via Submodular Optimization NIPS 2022
Plug and Play Knowledge Distillation for kNN-LM with External Logits IJCNLP 2022
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models EMNLP 2022
An Information-Theoretic Justification for Model Pruning AISTATS 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization NIPS 2022
Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error CVPR 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning NIPS 2022
Towards Green ASR: Lossless 4-bit Quantization of a Hybrid TDNN System on the 300-hr Swithboard Corpus INTERSPEECH 2022
Structural Pruning via Latency-Saliency Knapsack NIPS 2022
Revisiting Random Channel Pruning for Neural Network Compression CVPR 2022
Knowledge Distillation With the Reused Teacher Classifier CVPR 2022