conftrace_

early exit

79 papers

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EE

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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

Adaptive Inference for Medical Vision Transformers: Token Reduction or Early Exit? MIDL 2026
Task-aware Block Pruning with Output Distribution Signals for Large Language Models EACL 2026
EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation AAAI 2026
River-LLM: Large Language Model Seamless Exit Based on KV Share ACL 2026
LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference ACL 2026
Early-Exit and Instant Confidence Translation Quality Estimation EACL 2026
PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning AAAI 2026
Causality Matters: How Temporal Information Emerges in Video Language Models AAAI 2026
FREE: Fast and Robust Vision Language Models with Early Exits ACL 2025
DToMA: Training-free Dynamic Token MAnipulation for Long Video Understanding IJCAI 2025
Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments EMNLP 2025
Harnessing Input-Adaptive Inference for Efficient VLN ICCV 2025
Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models EMNLP 2025
PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality EMNLP 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit ACL 2025
ENAF: A Multi-Exit Network with an Adaptive Patch Fusion for Large Image Super Resolution WACV 2025
Not All Layers of LLMs Are Necessary During Inference IJCAI 2025
E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS AAAI 2025
RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation COLING 2024
An Unsupervised Framework for Adaptive Context-aware Simplified-Traditional Chinese Character Conversion COLING 2024
AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution AAAI 2024
DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models INTERSPEECH 2024
Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Prediction EMNLP 2024
USDN: A Unified Sample-Wise Dynamic Network With Mixed-Precision and Early-Exit WACV 2024
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NIPS 2024