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 776–800 of 4891 papers

TitleStatusHype
Pyramidal Reservoir Graph Neural NetworkCode1
Consistent Accelerated Inference via Confident Adaptive TransformersCode1
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained EnvironmentsCode1
Continual Learning For On-Device Environmental Sound ClassificationCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural NetworksCode1
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice AttentionCode1
CondenseNet V2: Sparse Feature Reactivation for Deep NetworksCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP TasksCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Adaptive wavelet distillation from neural networks through interpretationsCode1
Reconstructing Compact Building Models from Point Clouds Using Deep Implicit FieldsCode1
Reduced Order Modeling with Shallow Recurrent Decoder NetworksCode1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases DetectionCode1
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)Code1
Resurrecting Recurrent Neural Networks for Long SequencesCode1
Rethinking Chain-of-Thought from the Perspective of Self-TrainingCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Rethinking the Inception Architecture for Computer VisionCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
PrimeK-Net: Multi-scale Spectral Learning via Group Prime-Kernel Convolutional Neural Networks for Single Channel Speech EnhancementCode1
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration—0
Architecting Digital Twins for Intelligent Transportation Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified