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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 2801–2850 of 9051 papers

TitleStatusHype
Diversity-Sensitive Conditional Generative Adversarial Networks—0
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition—0
Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits—0
A Novel BiLevel Paradigm for Image-to-Image Translation—0
Diversity waves in collapse-driven population dynamics—0
Can LLMs Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task—0
Canny2Palm: Realistic and Controllable Palmprint Generation for Large-scale Pre-training—0
DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network—0
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction—0
Divide and Fuse: A Re-ranking Approach for Person Re-identification—0
Diversity driven Query Rewriting in Search Advertising—0
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN—0
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks—0
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training—0
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models—0
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory—0
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models—0
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning—0
Burn After Reading: Online Adaptation for Cross-domain Streaming Data—0
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning—0
Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance?—0
NeuralMatrix: Compute the Entire Neural Networks with Linear Matrix Operations for Efficient Inference—0
DMDD: A Large-Scale Dataset for Dataset Mentions Detection—0
Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?—0
Enhance Robustness of Language Models Against Variation Attack through Graph Integration—0
Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training—0
Enhancing Annotated Bibliography Generation with LLM Ensembles—0
Doc2Token: Bridging Vocabulary Gap by Predicting Missing Tokens for E-commerce Search—0
Do City Borders Constrain Ethnic Diversity?—0
Document Image Binarization with Fully Convolutional Neural Networks—0
Enhancing Collective Intelligence in Large Language Models Through Emotional Integration—0
Does RLHF Scale? Exploring the Impacts From Data, Model, and Method—0
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?—0
Does the dataset meet your expectations? Explaining sample representation in image data—0
CAPA: Continuous-Aperture Arrays for Revolutionizing 6G Wireless Communications—0
A novel hybrid FSO / RF communication system with receive diversity—0
Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder—0
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
Domain-Adaptable Hybrid Generation of RDF Entity Descriptions—0
BuildSeg: A General Framework for the Segmentation of Buildings—0
Domain Adaptation for Learning Generator from Paired Few-Shot Data—0
Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks—0
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency—0
Domain Adaptation through Synthesis for Unsupervised Person Re-identification—0
Domain adaption and physical constrains transfer learning for shale gas production—0
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models—0
Domain-Aware Dynamic Networks—0
Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis—0
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections—0
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