conftrace_

inference acceleration

244 papers

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Co-occurring keywords

model compression (3302) large language model (13587) speculative decoding (111) diffusion model (3751) model acceleration (80) efficient computing (781) language model (4599) inference optimization (219) knowledge distillation (3725) neural network optimization (1293)

Papers

BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression EACL 2021
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models NAACL 2021
FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization INTERSPEECH 2021
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks ICML 2020
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference ACL 2020
Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution IJCAI 2020
Learning Instance-wise Sparsity for Accelerating Deep Models IJCAI 2019
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization CVPR 2019
Network Recasting: A Universal Method for Network Architecture Transformation AAAI 2019
AutoFocus: Efficient Multi-Scale Inference ICCV 2019
IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network INTERSPEECH 2019
BlockDrop: Dynamic Inference Paths in Residual Networks CVPR 2018
Recurrent Residual Module for Fast Inference in Videos CVPR 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks IJCAI 2018
Accelerating Neural Transformer via an Average Attention Network ACL 2018
Frequency-Domain Dynamic Pruning for Convolutional Neural Networks NIPS 2018
More Is Less: A More Complicated Network With Less Inference Complexity CVPR 2017
Structured Transforms for Small-Footprint Deep Learning NIPS 2015