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model compression

3283 papers

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MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation EMNLP 2022
Wavelet Feature Maps Compression for Image-to-Image CNNs NIPS 2022
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems NIPS 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NIPS 2022
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts COLING 2022
XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient NIPS 2022
Channel Balancing for Accurate Quantization of Winograd Convolutions CVPR 2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space CVPR 2022
Bridging Fairness and Environmental Sustainability in Natural Language Processing EMNLP 2022
Unsupervised Tokenization Learning EMNLP 2022
Cross-Layer Similarity Knowledge Distillation for Speech Enhancement INTERSPEECH 2022
Model Compression by Iterative Pruning with Knowledge Distillation and Its Application to Speech Enhancement INTERSPEECH 2022
A Multi-Stage Multi-Codebook VQ-VAE Approach to High-Performance Neural TTS INTERSPEECH 2022
Self-Distillation Based on High-level Information Supervision for Compressing End-to-End ASR Model INTERSPEECH 2022
Benchmarking Transformers-based models on French Spoken Language Understanding tasks INTERSPEECH 2022
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models EMNLP 2022
Self-Distillation with Meta Learning for Knowledge Graph Completion EMNLP 2022
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer AAAI 2022
Deeply Tensor Compressed Transformers for End-to-End Object Detection AAAI 2022
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training NIPS 2022
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference NIPS 2022
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale EMNLP 2022
Get More at Once: Alternating Sparse Training with Gradient Correction NIPS 2022
DECORE: Deep Compression With Reinforcement Learning CVPR 2022
Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule ACML 2022