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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 3126–3150 of 9051 papers

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