computational efficiency

Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding COLING 2025 Text Anomaly Detection with Simplified Isolation Kernel EMNLP 2025 Text Embedding Knows How to Quantize Text-Guided Diffusion Models ICCV 2025 The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit ACL 2025 Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks ICML 2025 ThinkSwitcher: When to Think Hard, When to Think Fast EMNLP 2025 TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation ICLR 2025 TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting ICML 2025 Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction ICLR 2025 TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model CVPR 2025 TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration WACV 2025 Towards an Ultra-Low-Delay Neural Audio Coding with Computational Efficiency Interspeech 2025 Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral EMNLP 2025 TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation ICLR 2025 When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning EMNLP 2025 2.5D Vocal Tract Modeling: Bridging Low-Dimensional Efficiency with 3D Accuracy Interspeech 2024 AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets NAACL 2024 A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction ICLR 2024 A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024 Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models IJCAI 2024 Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers ACL 2024 CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NeurIPS 2024 Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation AAAI 2024 DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations NeurIPS 2024 Denoising Diffusion Step-aware Models ICLR 2024