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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 2201–2250 of 9051 papers

TitleStatusHype
ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing—0
Compacting Deep Neural Networks for Internet of Things: Methods and Applications—0
Community structures in allelopathic interaction networks: an eco-evolutionary approach—0
Active Adversarial Domain Adaptation—0
Communities as cliques—0
Array-Informed Waveform Design for Active Sensing: Diversity, Redundancy, and Identifiability—0
Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication—0
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding—0
A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model—0
Communicate or Sense? AP Mode Selection in mmWave Cell-Free Massive MIMO-ISAC—0
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling—0
A Robust Contrastive Alignment Method For Multi-Domain Text Classification—0
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship—0
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity—0
A genomic map of the effects of linked selection in Drosophila—0
MOSAIC: Multimodal Multistakeholder-aware Visual Art Recommendation—0
DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity—0
Diverse Ensemble Evolution: Curriculum Data-Model Marriage—0
Diverse Image Annotation—0
Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites—0
A Genetic Algorithm approach to Asymmetrical Blotto Games with Heterogeneous Valuations—0
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models—0
Action Unit Memory Network for Weakly Supervised Temporal Action Localization—0
Comment Section Personalization: Algorithmic, Interface, and Interaction Design—0
Is there sufficient evidence for criticality in cortical systems?—0
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
Diverse Audio Captioning via Adversarial Training—0
Argument Quality Assessment in the Age of Instruction-Following Large Language Models—0
Comeback kids: an evolutionary approach of the long-run innovation process—0
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition—0
Argument Identification in Public Comments from eRulemaking—0
A Generic Coordinate Descent Framework for Learning from Implicit Feedback—0
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization—0
Argument Generation with Retrieval, Planning, and Realization—0
Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking—0
Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?—0
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao—0
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving—0
A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks—0
Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast—0
Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation—0
ARFlow: Human Action-Reaction Flow Matching with Physical Guidance—0
Action Understanding with Multiple Classes of Actors—0
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior—0
Combining keyphrase extraction and lexical diversity to characterize ideas in publication titles—0
Combining Kernelized Autoencoding and Centroid Prediction for Dynamic Multi-objective Optimization—0
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
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