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 4601–4650 of 4891 papers

TitleStatusHype
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
A non-alternating graph hashing algorithm for large scale image searchCode0
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token EncodingsCode0
An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNetCode0
Statistical Significance of Feature Importance RankingsCode0
A New Way: Kronecker-Factored Approximate Curvature Deep Hedging and its BenefitsCode0
Achieving the time of 1-NN, but the accuracy of k-NNCode0
Dissecting FLOPs along input dimensions for GreenAI cost estimationsCode0
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging InfrastructureCode0
Pruning Everything, Everywhere, All at OnceCode0
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inferenceCode0
ψDAG: Projected Stochastic Approximation Iteration for DAG Structure LearningCode0
Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problemsCode0
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and HypergraphsCode0
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly OlfactionCode0
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action RecognitionCode0
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy InterpolationCode0
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer PruningCode0
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node ClassificationCode0
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement LearningCode0
Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation using Deformable Shape ModelsCode0
Dis-S2V: Discourse Informed Sen2VecCode0
MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelinesCode0
MMD GAN: Towards Deeper Understanding of Moment Matching NetworkCode0
Feed-Forward Optimization With Delayed Feedback for Neural NetworksCode0
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image ClassificationCode0
A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization FactorsCode0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic ForecastingCode0
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational EfficiencyCode0
Federated Learning with Reservoir State Analysis for Time Series Anomaly DetectionCode0
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural BehaviorCode0
Disentangled Self-Attentive Neural Networks for Click-Through Rate PredictionCode0
A Universal Framework for Featurization of Atomistic SystemsCode0
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RLCode0
Slicing Unbalanced Optimal TransportCode0
SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor SegmentationCode0
Federated Learning for Time-Series Healthcare Sensing with Incomplete ModalitiesCode0
Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et ApplicationsCode0
Compact Convolutional Neural Network Cascade for Face DetectionCode0
COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel SegmentationCode0
Generalized Random Forests using Fixed-Point TreesCode0
Discovering and Deciphering Relationships Across Disparate Data ModalitiesCode0
Superpixel Segmentation Using Gaussian Mixture ModelCode0
Modeling non-linear Effects with Neural Networks in Relational Event ModelsCode0
Q-S5: Towards Quantized State Space ModelsCode0
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
Sequential Monte Carlo Squared for online inference in stochastic epidemic modelsCode0
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower BoundsCode0
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration StrategyCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified