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Benchmarking

Papers

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Showing 1651–1675 of 5548 papers

TitleStatusHype
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
Benchmarking Data-driven Automatic Text Simplification for German—0
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior—0
Demographic Parity: Mitigating Biases in Real-World Data—0
Benchmarking Cross-Domain Audio-Visual Deception Detection—0
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification—0
Benchmarking Convolutional Neural Network and Graph Neural Network based Surrogate Models on a Real-World Car External Aerodynamics Dataset—0
An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments—0
Benchmarking Conventional Vision Models on Neuromorphic Fall Detection and Action Recognition Dataset—0
Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration—0
Benchmarking Continual Learning from Cognitive Perspectives—0
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms—0
Benchmarking Constraint-Based Bayesian Structure Learning Algorithms: Role of Network Topology—0
Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity—0
ABSA-Bench: Towards the Unified Evaluation of Aspect-based Sentiment Analysis Research—0
Deep State-Space Model for Predicting Cryptocurrency Price—0
Deep Unlearn: Benchmarking Machine Unlearning—0
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise—0
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation—0
Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Culture—0
A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration—0
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems—0
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective—0
Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics—0
Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4 TurboACC0.56—Unverified