conftrace_

early exit

79 papers

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Also known as

EE

Co-occurring keywords

model compression (3302) inference efficiency (248) inference acceleration (244) efficient computing (781) knowledge distillation (3725) inference optimization (219) computational efficiency (362) large language model (13587) neural network (6616) adaptive inference (39)

Papers

ReX: An Efficient Approach to Reducing Memory Cost in Image Classification AAAI 2022
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation EMNLP 2022
Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices INTERSPEECH 2022
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs ICML 2022
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation ACL 2022
SkipBERT: Efficient Inference with Shallow Layer Skipping ACL 2022
FrameExit: Conditional Early Exiting for Efficient Video Recognition CVPR 2021
LeeBERT: Learned Early Exit for BERT with cross-level optimization ACL 2021
Accelerating BERT Inference for Sequence Labeling via Early-Exit ACL 2021
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks NIPS 2021
Consistent Accelerated Inference via Confident Adaptive Transformers EMNLP 2021
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade EMNLP 2021
MOOD: Multi-Level Out-of-Distribution Detection CVPR 2021
LeeBERT: Learned Early Exit for BERT with cross-level optimization IJCNLP 2021
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models NAACL 2021
The Right Tool for the Job: Matching Model and Instance Complexities ACL 2020
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference ACL 2020
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering EMNLP 2020
BERT Loses Patience: Fast and Robust Inference with Early Exit NIPS 2020
Resolution Adaptive Networks for Efficient Inference CVPR 2020
Early Exiting BERT for Efficient Document Ranking EMNLP 2020
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking ICML 2019
Distillation-Based Training for Multi-Exit Architectures ICCV 2019
Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019