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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

Showing 49515000 of 9051 papers

TitleStatusHype
TIGTEC : Token Importance Guided TExt Counterfactuals0
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning0
Semi-Supervised Semantic Segmentation With Region RelevanceCode0
SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models0
Constructing a meta-learner for unsupervised anomaly detection0
Quantifying the difference between phylogenetic diversity and diversity indices0
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender SystemsCode0
Domain Generalization for Mammographic Image Analysis with Contrastive Learning0
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic ServicesCode0
SP-BatikGAN: An Efficient Generative Adversarial Network for Symmetric Pattern Generation0
ReelFramer: Human-AI Co-Creation for News-to-Video Translation0
Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive ImitationCode0
Analysing Equilibrium States for Population Diversity0
Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation0
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image ModelsCode0
Participatory Design of AI with Children: Reflections on IDC Design Challenge0
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction0
The MiniPile Challenge for Data-Efficient Language ModelsCode0
CAViaR: Context Aware Video Recommendations0
Do you MIND? Reflections on the MIND dataset for research on diversity in news recommendations0
ERTIM@MC2: Diversified Argumentative Tweets Retrieval0
Test-Optional Admissions0
Context-aware Domain Adaptation for Time Series Anomaly Detection0
Text-Conditional Contextualized Avatars For Zero-Shot Personalization0
The Second Monocular Depth Estimation Challenge0
Efficient Quality-Diversity Optimization through Diverse Quality SpeciesCode0
Towards Large-Scale Simulations of Open-Ended Evolution in Continuous Cellular Automata0
Wild Face Anti-Spoofing Challenge 2023: Benchmark and ResultsCode0
Mutation enhances cooperation in direct reciprocity0
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity0
Learning to exploit z-Spatial Diversity for Coherent Nonlinear Optical Fiber Communication0
Continual Semantic Segmentation with Automatic Memory Sample Selection0
Collaborative Machine Learning Model Building with Families Using Co-ML0
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection0
Who are the gatekeepers of economics? Geographic diversity, gender composition, and interlocking editorship of journal boards0
AGAD: Adversarial Generative Anomaly Detection0
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples0
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning0
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation0
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack0
Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems0
On the Suitability of Representations for Quality Diversity Optimization of Shapes0
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains0
Pragmatically Appropriate Diversity for Dialogue Evaluation0
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model0
Source-free Domain Adaptation Requires Penalized Diversity0
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields0
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation0
Revolutionizing Single Cell Analysis: The Power of Large Language Models for Cell Type Annotation0
Controllable Exploration of a Design Space via Interactive Quality Diversity0
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