Efficient Computing

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning ICCV 2023 EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark ICLR 2023 EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings MLHC 2023 EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization CVPR 2023 ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines ICML 2023 EELBERT: Tiny Models through Dynamic Embeddings EMNLP 2023 EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement Interspeech 2023 Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators OSDI 2023 Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data ACL 2023 EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics EMNLP 2023 Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing NeurIPS 2023 Efficient Adaptation of Spoken Language Understanding based on End-to-End Automatic Speech Recognition Interspeech 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 Efficient Beam Tree Recursion NeurIPS 2023 Efficient Computation Sharing for Multi-Task Visual Scene Understanding ICCV 2023 Efficient Controllable Multi-Task Architectures ICCV 2023 Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation EACL 2023 Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks NeurIPS 2023 Efficient Deep Space Filling Curve ICCV 2023 Efficient Diffusion Training via Min-SNR Weighting Strategy ICCV 2023 Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning AAAI 2023 Efficient Exploration in Resource-Restricted Reinforcement Learning AAAI 2023 Efficient Graph Field Integrators Meet Point Clouds ICML 2023 Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks ICCV 2023 Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming ICML 2023