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 601–625 of 4891 papers

TitleStatusHype
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI SynthesisCode1
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical AnalysisCode1
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal ContrastCode1
It's Not the Target, It's the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank RepresentationsCode1
Joint Design of RF and gradient waveforms via auto-differentiation for 3D tailored excitation in MRICode1
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series ForecastingCode1
Mixed Models with Multiple Instance LearningCode1
Corner Proposal Network for Anchor-free, Two-stage Object DetectionCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT ImagesCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulatorsCode1
Attention, Please! Revisiting Attentive Probing for Masked Image ModelingCode1
Attention U-Net: Learning Where to Look for the PancreasCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
CalibQuant: 1-Bit KV Cache Quantization for Multimodal LLMsCode1
Calibrating LLMs with Information-Theoretic Evidential Deep LearningCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video RecognitionCode1
Cross-attention Inspired Selective State Space Models for Target Sound ExtractionCode1
Centroid Distance Keypoint Detector for Colored Point CloudsCode1
Auction-Based Combinatorial Multi-Armed Bandit Mechanisms with Strategic ArmsCode1
Gradient-free variational learning with conditional mixture networksCode1
GridFormer: Point-Grid Transformer for Surface ReconstructionCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified