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 226–250 of 4891 papers

TitleStatusHype
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image SegmentationCode1
SE(3) Equivariant Graph Neural Networks with Complete Local FramesCode1
Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkCode1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
3-D Short-Range Imaging With Irregular MIMO Arrays Using NUFFT-Based Range Migration AlgorithmCode1
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp SegmentationCode1
Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf NodeCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified