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

Showing 276300 of 4891 papers

TitleStatusHype
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy SegmentationCode1
A practical PINN framework for multi-scale problems with multi-magnitude loss termsCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Efficient Neural Network Robustness Certification with General Activation FunctionsCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
EfficientPose: Scalable single-person pose estimationCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution NetworksCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language ModelsCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
Dynamic Multimodal FusionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified