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Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

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Showing 1851–1900 of 4891 papers

TitleStatusHype
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data—0
Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP—0
Fast High-Quality Enhanced Imaging Algorithm for Layered Dielectric Targets Based on MMW MIMO-SAR System—0
An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding—0
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning—0
Fast Inverter Control by Learning the OPF Mapping using Sensitivity-Informed Gaussian Processes—0
Autonomous and Connected Intersection Crossing Traffic Management using Discrete-Time Occupancies Trajectory—0
DISC: DISC: Dynamic Decomposition Improves LLM Inference Scaling—0
Real-time Hybrid System Identification with Online Deterministic Annealing—0
Fast Latent Factor Analysis via a Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm—0
Fast Learning in Quantitative Finance with Extreme Learning Machine—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization—0
From Structured to Unstructured:A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs—0
Fast Matching by 2 Lines of Code for Large Scale Face Recognition Systems—0
Fast Maximum Likelihood Estimation and Supervised Classification for the Beta-Liouville Multinomial—0
Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition—0
A parsimonious, computationally efficient machine learning method for spatial regression—0
Fast Nonconvex SDP Solvers for Large-scale Power System State Estimation—0
Fast online node labeling with graph subsampling—0
From Point to probabilistic gradient boosting for claim frequency and severity prediction—0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
Fast-Powerformer: A Memory-Efficient Transformer for Accurate Mid-Term Wind Power Forecasting—0
Fast Quasi-Optimal Power Flow of Flexible DC Traction Power Systems—0
FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection—0
Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks—0
Fast Screening Algorithm for Rotation and Scale Invariant Template Matching—0
A Machine Learning Based Classification Approach for Power Quality Disturbances Exploiting Higher Order Statistics in the EMD Domain—0
From Precision to Perception: User-Centred Evaluation of Keyword Extraction Algorithms for Internet-Scale Contextual Advertising—0
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards—0
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations—0
Directed Acyclic Graph Convolutional Networks—0
Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline—0
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer—0
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models—0
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks—0
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text—0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
Composite Marginal Likelihood Methods for Random Utility Models—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning—0
Automatic exposure selection and fusion for high-dynamic-range photography via smartphones—0
Comprehensive Survey of Model Compression and Speed up for Vision Transformers—0
Feature Analysis for Machine Learning-based IoT Intrusion Detection—0
Automatic Doubly Robust Forests—0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified