SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4676–4700 of 9051 papers

TitleStatusHype
Alleviating the Long-Tail Problem in Conversational Recommender SystemsCode0
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?—0
Contributions of El Niño Southern Oscillation (ENSO) Diversity to Low-Frequency Changes in ENSO VarianceCode0
Challenges and Solutions in AI for All—0
Diffusion Models for Probabilistic Deconvolution of Galaxy ImagesCode0
Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting?—0
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow—0
Unbiased Image Synthesis via Manifold Guidance in Diffusion Models—0
Active Learning for Object Detection with Non-Redundant Informative Sampling—0
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML—0
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax—0
A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem—0
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium PhysicsCode0
Leveraging Contextual Counterfactuals Toward Belief Calibration—0
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation—0
Rethinking Mitosis Detection: Towards Diverse Data and Feature RepresentationCode0
Neutral Diversity in Experimental Metapopulations—0
Neural Machine Translation Data Generation and Augmentation using ChatGPT—0
Transaction Fraud Detection via an Adaptive Graph Neural Network—0
Entity Identifier: A Natural Text Parsing-based Framework For Entity Relation Extraction—0
Fatal errors and misuse of mathematics in the Hong-Page Theorem and Landemore's epistemic argument—0
Measuring Lexical Diversity in Texts: The Twofold Length Problem—0
Fairness and Diversity in Recommender Systems: A SurveyCode0
AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI—0
A Network Resource Allocation Recommendation Method with An Improved Similarity Measure—0
Show:102550
← PrevPage 188 of 363Next →

No leaderboard results yet.