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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 2301–2350 of 9051 papers

TitleStatusHype
Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues—0
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning—0
Coherent Visual Storytelling via Parallel Top-Down Visual and Topic Attention—0
Coherent FDA Radar: Transmitter and Receiver Design and Analysis—0
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies—0
Contrastive Learning for Image Complexity Representation—0
Diversity and bias in audio captioning datasets—0
Coherent Dialogue with Attention-based Language Models—0
Coherent and Concise Radiology Report Generation via Context Specific Image Representations and Orthogonal Sentence States—0
Coherent and Archimedean choice in general Banach spaces—0
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising—0
A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels—0
A cross-study analysis of drug response prediction in cancer cell lines—0
Cognitive Learning-Aided Multi-Antenna Communications—0
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation—0
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization—0
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification—0
A Regression Framework for Predicting User's Next Location using Call Detail Records—0
AGAD: Adversarial Generative Anomaly Detection—0
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications—0
Co-existence of Micro, Pico and Atto Cells in Optical Wireless Communication—0
Coexistence of critical sensitivity and subcritical specificity can yield optimal population coding—0
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information?—0
Coevolutionary Pareto Diversity Optimization—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
Are generative models fair? A study of racial bias in dermatological image generation—0
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval—0
Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT—0
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification—0
Diversity Analysis for Indoor Terahertz Communication Systems under Small-Scale Fading—0
Diversity and coevolutionary dynamics in high-dimensional phenotype spaces—0
Diversity and Inclusion Index with Networks and Similarity: Analysis and its Application—0
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code—0
Coreference Resolution: Are the eliminated spans totally worthless?—0
CodeFusion: A Pre-trained Diffusion Model for Code Generation—0
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding—0
Are Easy Data Easy (for K-Means)—0
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?—0
A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms—0
Diversifying Sparsity Using Variational Determinantal Point Processes—0
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation—0
A Reduction Approach to Constrained Reinforcement Learning—0
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer—0
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling—0
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images—0
Neuronal and structural differentiation in the emergence of abstract rules in hierarchically modulated spiking neural networks—0
Coalescent dynamics of planktonic communities—0
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