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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1676–1700 of 4891 papers

TitleStatusHype
ReInc: Scaling Training of Dynamic Graph Neural Networks—0
Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images—0
Context-Aware Neural Gradient Mapping for Fine-Grained Instruction Processing—0
Permutation-based multi-objective evolutionary feature selection for high-dimensional data—0
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing—0
UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification with up to 54x fewer trainable parameters for resource constrained devices—0
GreedyPixel: Fine-Grained Black-Box Adversarial Attack Via Greedy Algorithm—0
UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis—0
SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility—0
Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks—0
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems—0
Radio Map Estimation via Latent Domain Plug-and-Play DenoisingCode0
PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics—0
Autonomous Structural Memory Manipulation for Large Language Models Using Hierarchical Embedding Augmentation—0
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration—0
Adaptive Data Exploitation in Deep Reinforcement LearningCode0
Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields—0
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning—0
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor ContractionsCode0
Parallel Sequence Modeling via Generalized Spatial Propagation Network—0
Survey on Hand Gesture Recognition from Visual Input—0
Using Space-Filling Curves and Fractals to Reveal Spatial and Temporal Patterns in Neuroimaging DataCode0
"FRAME: Forward Recursive Adaptive Model Extraction -- A Technique for Advance Feature Selection"—0
Heuristic Deep Reinforcement Learning for Phase Shift Optimization in RIS-assisted Secure Satellite Communication Systems with RSMA—0
Hybrid Adaptive Modeling using Neural Networks Trained with Nonlinear Dynamics Based Features—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified