Skip to content
conftrace_

early exit

87 papers

EE

Papers

Adaptive Depth Lightweight RGB-T Tracking with Holistic Token Routing CVPR 2026 Adaptive Inference for Medical Vision Transformers: Token Reduction or Early Exit? MIDL 2026 Causality Matters: How Temporal Information Emerges in Video Language Models AAAI 2026 Early-Exit and Instant Confidence Translation Quality Estimation EACL 2026 EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation AAAI 2026 LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference ACL 2026 PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning AAAI 2026 River-LLM: Large Language Model Seamless Exit Based on KV Share ACL 2026 Task-aware Block Pruning with Output Distribution Signals for Large Language Models EACL 2026 ThinkingViT: Matryoshka Thinking Vision Transformer for Elastic Inference CVPR 2026 Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models EMNLP 2025 BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts ICLR 2025 DToMA: Training-free Dynamic Token MAnipulation for Long Video Understanding IJCAI 2025 Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense ICLR 2025 E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS AAAI 2025 EERO: Early Exit with Reject Option for Efficient Classification with limited budget UAI 2025 ENAF: A Multi-Exit Network with an Adaptive Patch Fusion for Large Image Super Resolution WACV 2025 FREE: Fast and Robust Vision Language Models with Early Exits ACL 2025 Harnessing Input-Adaptive Inference for Efficient VLN ICCV 2025 How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies ICML 2025 Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models ICML 2025 Not All Layers of LLMs Are Necessary During Inference IJCAI 2025 PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality EMNLP 2025 Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments EMNLP 2025 The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit ACL 2025