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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 2601–2650 of 9051 papers

TitleStatusHype
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning—0
A novel statistical metric learning for hyperspectral image classification—0
A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Definition and Method—0
Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization—0
Adversarial Environment Design via Regret-Guided Diffusion Models—0
Dynamic Scale Inference by Entropy Minimization—0
Scenarios Generation-based Multiple Interval Prediction Method for Electricity Prices—0
Capturing the diversity of biological tuning curves using generative adversarial networks—0
A Novel Multi-Objective Velocity-Free Boolean Particle Swarm Optimization—0
Capturing Bias Diversity in LLMs—0
Captioning Images Taken by People Who Are Blind—0
Distributionally-Informed Recommender System Evaluation—0
Dynamics of Algorithmic Content Amplification on TikTok—0
Dynamic Swarm Dispersion in Particle Swarm Optimization for Mining Unsearched Area in Solution Space (DSDPSO)—0
``Caption'' as a Coherence Relation: Evidence and Implications—0
CaptainGAN: Navigate Through Embedding Space For Better Text Generation—0
A Novel Mathematical Framework for Objective Characterization of Ideas—0
CapOnImage: Context-driven Dense-Captioning on Image—0
A Novel ILP Framework for Summarizing Content with High Lexical Variety—0
A Comprehensive Analysis of Large Language Model Outputs: Similarity, Diversity, and Bias—0
CAPA: Continuous-Aperture Arrays for Revolutionizing 6G Wireless Communications—0
A novel hybrid FSO / RF communication system with receive diversity—0
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?—0
A Novel Ensemble Learning Approach to Unsupervised Record Linkage—0
Adversarial Diversity and Hard Positive Generation—0
5G framework concepts for the next generation networks—0
Is News Recommendation a Sequential Recommendation Task?—0
A Novel Detection Algorithm Efficient for Turbo coded CDMA Signals in Detect and Forward Cooperative Channels—0
Adversarial Bootstrapping for Dialogue Model Training—0
Can time series forecasting be automated? A benchmark and analysis—0
Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?—0
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using dMRI Tractography—0
Dynamic Post-Hoc Neural Ensemblers—0
Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance?—0
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?—0
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions—0
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models—0
A Novel Cross-Perturbation for Single Domain Generalization—0
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers—0
Dynamic Range Independent Image Quality Assessment—0
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires—0
DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI—0
Echo Chambers in Collaborative Filtering Based Recommendation Systems—0
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study—0
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis—0
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness—0
Canny2Palm: Realistic and Controllable Palmprint Generation for Large-scale Pre-training—0
Adversarial attacks to image classification systems using evolutionary algorithms—0
A Complexity Efficient DMT-Optimal Tree Pruning Based Sphere Decoding—0
Can LLMs Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task—0
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