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inference speed

112 papers

Papers

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance ICCV 2025 Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM CVPR 2025 VocalNet: Speech LLMs with Multi-Token Prediction for Faster and High-Quality Generation EMNLP 2025 Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers WACV 2025 xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference ICML 2025 Accelerated Speculative Sampling Based on Tree Monte Carlo ICML 2024 Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention ECCV 2024 A Comprehensive Evaluation of Quantization Strategies for Large Language Models ACL 2024 An Entropy-Based Model for Hierarchical Learning JMLR 2024 Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024 Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation RSS 2024 Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed AAAI 2024 EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection WACV 2024 Fast Ensembling with Diffusion Schrödinger Bridge ICLR 2024 FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices With a Simple Super-Resolution Pipeline WACV 2024 FlowAVSE: Efficient Audio-Visual Speech Enhancement with Conditional Flow Matching Interspeech 2024 GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation WACV 2024 LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network AAAI 2024 Make RepVGG Greater Again: A Quantization-Aware Approach AAAI 2024 Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models ACL 2024 Optical Diffusion Models for Image Generation NeurIPS 2024 PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition NeurIPS 2024 Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines ICML 2024 QTIP: Quantization with Trellises and Incoherence Processing NeurIPS 2024 Resource-Efficient Neural Networks for Embedded Systems JMLR 2024