SOTAVerified

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 701–725 of 4891 papers

TitleStatusHype
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point CloudsCode1
Calibrating LLMs with Information-Theoretic Evidential Deep LearningCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration ProblemsCode1
How Much Can Time-related Features Enhance Time Series Forecasting?Code1
HiPart: Hierarchical Divisive Clustering ToolboxCode1
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM InferenceCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networksCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
How Can We Be So Dense? The Benefits of Using Highly Sparse RepresentationsCode1
PTZ-Calib: Robust Pan-Tilt-Zoom Camera CalibrationCode1
3D Human Pose and Shape Estimation via HybrIK-TransformerCode1
Improved Techniques for Training Adaptive Deep NetworksCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
Heat flux for semi-local machine-learning potentialsCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Efficient Neural Network Robustness Certification with General Activation FunctionsCode1
Sparse Projection Oblique Randomer ForestsCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified