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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 1751–1775 of 9051 papers

TitleStatusHype
AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly Localization—0
Generating Automatically Print/Scan Textures for Morphing Attack Detection ApplicationsCode0
Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning—0
Barbie: Text to Barbie-Style 3D AvatarsCode1
Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form Text—0
BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis—0
Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge—0
When Prompting Fails to Sway: Inertia in Moral and Value Judgments of Large Language ModelsCode0
PEDAL: Enhancing Greedy Decoding with Large Language Models using Diverse Exemplars—0
Historical Printed Ornaments: Dataset and Tasks—0
Online Behavior Modification for Expressive User Control of RL-Trained Robots—0
Accelerated Image-Aware Generative Diffusion Modeling—0
DIVE: Towards Descriptive and Diverse Visual Commonsense GenerationCode0
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic—0
Confidence-weighted integration of human and machine judgments for superior decision-makingCode0
DATTA: Towards Diversity Adaptive Test-Time Adaptation in Dynamic Wild World—0
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws—0
Novel Methods for Analyzing Cellular Interactions in Deep Learning-Based Image Cytometry: Spatial Interaction Potential and Co-Localization Index—0
Coordinated Spectral Efficiency Prediction for Real-World 5G CoMP Systems—0
A systematic dataset generation technique applied to data-driven automotive aerodynamics—0
Large Language Models Know What Makes Exemplary Contexts—0
Unsupervised Stereo Matching Network For VHR Remote Sensing Images Based On Error PredictionCode0
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks—0
Diffusion Model for Slate Recommendation—0
On a Scale-Invariant Approach to Bundle Recommendations in Candy Crush Saga—0
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