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Efficient Computing

6,876 papers

Papers per year

Papers

Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation AAAI 2024
Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments AAAI 2024
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling AAAI 2024
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time AAAI 2024
Towards Reproducible, Automated, and Scalable Anomaly Detection AAAI 2024
Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization AAAI 2024
LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition AAAI 2024
Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract) AAAI 2024
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract) AAAI 2024
MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract) AAAI 2024
Solar Power Generation Forecasting via Multimodal Feature Fusion (Student Abstract) AAAI 2024
Effective Data Distillation for Tabular Datasets (Student Abstract) AAAI 2024
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024
Knowledge Transfer via Compact Model in Federated Learning (Student Abstract) AAAI 2024
Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract) AAAI 2024
Virtual Try-On: Real-Time Interactive Hybrid Network with High-Fidelity AAAI 2024
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface AAAI 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models ACL 2024
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation ACL 2024
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression ACL 2024
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models ACL 2024
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter ACL 2024
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024
Long-Context Language Modeling with Parallel Context Encoding ACL 2024