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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 7501–7550 of 9051 papers

TitleStatusHype
Crowdsourcing the Perception of Machine Teaching—0
Automatic image-based identification and biomass estimation of invertebrates—0
Improving the Evaluation of Generative Models with Fuzzy LogicCode0
Music2Dance: DanceNet for Music-driven Dance Generation—0
Self-Adversarial Learning with Comparative Discrimination for Text Generation—0
Introducing the diagrammatic semiotic mode—0
The influence of diversity on the measurement of functional impairment: An international validation of the Amsterdam IADL Questionnaire in 8 countries—0
The Case for Bayesian Deep Learning—0
A hierarchical fusion framework integrating random projection-based classifiers: application in head and neck squamous carcinoma cancer—0
On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation—0
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation—0
Finer Metagenomic Reconstruction via Biodiversity OptimizationCode0
Measuring Diversity of Artificial Intelligence Conferences—0
A Note on Species Richness and the Variance of Epidemic Severity—0
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures—0
Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions—0
SEERL: Sample Efficient Ensemble Reinforcement Learning—0
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses—0
Hydra: Preserving Ensemble Diversity for Model DistillationCode0
A Sample Selection Approach for Universal Domain Adaptation—0
Image inpainting using directional wavelet packets originating from polynomial splines—0
Towards GAN Benchmarks Which Require Generalization—0
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination—0
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration—0
Land-use history impacts functional diversity across multiple trophic groups—0
Plug-and-Play Rescaling Based Crowd Counting in Static Images—0
Measuring Diversity in Heterogeneous Information Networks—0
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural NetworksCode0
EXPLOITING SEMANTIC COHERENCE TO IMPROVE PREDICTION IN SATELLITE SCENE IMAGE ANALYSIS: APPLICATION TO DISEASE DENSITY ESTIMATION—0
Composing Molecules with Multiple Property Constraints—0
LDMGAN: Reducing Mode Collapse in GANs with Latent Distribution Matching—0
Pal-GAN: Palette-conditioned Generative Adversarial Networks—0
Diversity Transfer Network for Few-Shot LearningCode0
Large-Scale Survey of Cell-Differentiation Programs in a Generative Model Reveals Regeneration as an Epiphenomenon of Development—0
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image ClassificationCode0
An Abstraction Model for Semantic Segmentation Algorithms—0
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization—0
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity—0
A Regression Framework for Predicting User's Next Location using Call Detail Records—0
Reconfigurable Intelligent Surface Aided NOMA Networks—0
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension—0
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and LimitationsCode0
SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing ImagesCode0
Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity—0
Contextually Plausible and Diverse 3D Human Motion Prediction—0
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversionCode0
Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data—0
Direction Concentration Learning: Enhancing Congruency in Machine LearningCode0
Enhanced Spatially Interleaved Techniques for Multi-View Distributed Video Coding—0
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level—0
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