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 376–400 of 4891 papers

TitleStatusHype
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image SegmentationCode1
Ferret: Federated Full-Parameter Tuning at Scale for Large Language ModelsCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural NetworksCode1
Cross-attention Inspired Selective State Space Models for Target Sound ExtractionCode1
Parallel AutoRegressive Models for Multi-Agent Combinatorial OptimizationCode1
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM InferenceCode1
MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge DistillationCode1
Gradient-free variational learning with conditional mixture networksCode1
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image ClassificationCode1
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsCode1
Implicit Grid Convolution for Multi-Scale Image Super-ResolutionCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
MobileMEF: Fast and Efficient Method for Multi-Exposure FusionCode1
SpectralEarth: Training Hyperspectral Foundation Models at ScaleCode1
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic SegmentationCode1
PRTGaussian: Efficient Relighting Using 3D Gaussians with Precomputed Radiance TransferCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box ModelsCode1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
Scalify: scale propagation for efficient low-precision LLM trainingCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified