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

RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation COLING 2024
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding ACL 2024
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping EMNLP 2024
Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Prediction EMNLP 2024
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs EMNLP 2024
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters EMNLP 2024
AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution AAAI 2024
CeeBERT: Cross-Domain Inference in Early Exit BERT ACL 2024
CapEEN: Image Captioning with Early Exits and Knowledge Distillation EMNLP 2024
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution NIPS 2024
SEENN: Towards Temporal Spiking Early Exit Neural Networks NIPS 2023
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference AAAI 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models ICCV 2023
Boosted Dynamic Neural Networks AAAI 2023
Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation ICCV 2023
A Survey on Dynamic Neural Networks for Natural Language Processing EACL 2023
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NIPS 2023
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients CVPR 2023
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings ACL 2023
Dynamic Transformers Provide a False Sense of Efficiency ACL 2023
LECO: Improving Early Exiting via Learned Exits and Comparison-based Exiting Mechanism ACL 2023
Early Exit with Disentangled Representation and Equiangular Tight Frame ACL 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits CVPR 2023
Confident Adaptive Language Modeling NIPS 2022
PALBERT: Teaching ALBERT to Ponder NIPS 2022