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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 851–875 of 9051 papers

TitleStatusHype
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences—0
Deep Reinforcement Learning Optimized Intelligent Resource Allocation in Active RIS-Integrated TN-NTN Networks—0
DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR StrategyCode0
Unispeaker: A Unified Approach for Multimodality-driven Speaker Generation—0
Towards Iris Presentation Attack Detection with Foundation Models—0
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket RecommendationCode0
Test-time Alignment of Diffusion Models without Reward Over-optimizationCode2
Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion ModelsCode0
Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot CoordinationCode0
Supervision policies can shape long-term risk management in general-purpose AI modelsCode0
Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection—0
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction—0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models—0
EquiBoost: An Equivariant Boosting Approach to Molecular Conformation GenerationCode0
Learning Compact and Robust Representations for Anomaly Detection—0
Arc2Avatar: Generating Expressive 3D Avatars from a Single Image via ID Guidance—0
Consistent Flow Distillation for Text-to-3D Generation—0
Seeing Sound: Assembling Sounds from Visuals for Audio-to-Image Generation—0
Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion—0
EpiCoder: Encompassing Diversity and Complexity in Code Generation—0
Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images—0
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints—0
Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification—0
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends—0
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