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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 351–400 of 9051 papers

TitleStatusHype
Latent Video Dataset Distillation—0
Instruction-Tuning Data Synthesis from Scratch via Web ReconstructionCode1
Computational Typology—0
A species of Coprococcus is related to BMI in patients who underwent malabsorptive bariatric surgery and its abundance is modified by magnesium and thiamin intake—0
Agricultural Economics and Innovation in the Inca Empire—0
RainbowPlus: Enhancing Adversarial Prompt Generation via Evolutionary Quality-Diversity SearchCode1
Bringing Diversity from Diffusion Models to Semantic-Guided Face Asset Generation—0
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions—0
DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party DialogueCode0
Surrogate Fitness Metrics for Interpretable Reinforcement Learning—0
DeepPD: Joint Phase and Object Estimation from Phase Diversity with Neural Calibration of a Deformable Mirror—0
A Multimodal Recaptioning Framework to Account for Perceptual Diversity in Multilingual Vision-Language Modeling—0
Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites—0
Adaptation Method for Misinformation Identification—0
Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling—0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity—0
PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline—0
Entropy Rectifying Guidance for Diffusion and Flow Models—0
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space—0
An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research—0
NoisyRollout: Reinforcing Visual Reasoning with Data AugmentationCode2
MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation—0
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models—0
Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies—0
Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled DataCode0
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep ClassificationCode0
Real-World Depth Recovery via Structure Uncertainty Modeling and Inaccurate GT Depth Fitting—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
Evaluating the Diversity and Quality of LLM Generated Content—0
Rethinking LLM-Based Recommendations: A Query Generation-Based, Training-Free Approach—0
SLURG: Investigating the Feasibility of Generating Synthetic Online Fallacious Discourse—0
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning—0
How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions—0
Unravelling Technical debt topics through Time, Programming Languages and Repository—0
Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder—0
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents—0
Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence—0
Large Language Model-Informed Feature Discovery Improves Prediction and Interpretation of Credibility Perceptions of Visual Content—0
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models—0
Elucidating the Design Space of Multimodal Protein Language ModelsCode3
Using LLMs as prompt modifier to avoid biases in AI image generators—0
Controllable Expressive 3D Facial Animation via Diffusion in a Unified Multimodal Space—0
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language ModelsCode1
Relation-Rich Visual Document Generator for Visual Information ExtractionCode0
The Impact of Model Zoo Size and Composition on Weight Space LearningCode0
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation—0
Can genomic analysis actually estimate past population size?—0
Weight Ensembling Improves Reasoning in Language Models—0
Diversity Analysis for Indoor Terahertz Communication Systems under Small-Scale Fading—0
Diversity-Fair Online Selection—0
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