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 326–350 of 4891 papers

TitleStatusHype
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
EfficientPose: Scalable single-person pose estimationCode1
Adaptive Data Optimization: Dynamic Sample Selection with Scaling LawsCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
Exploiting Deblurring Networks for Radiance FieldsCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
Automated Lane Merging via Game Theory and Branch Model Predictive ControlCode1
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time SeriesCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
AMR Similarity Metrics from PrinciplesCode1
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLMCode1
Dynamic Multimodal FusionCode1
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point CloudsCode1
Dynamic Group Convolution for Accelerating Convolutional Neural NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified