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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 54015450 of 9051 papers

TitleStatusHype
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling0
Autoencoder-based General Purpose Representation Learning for Customer Embedding0
Autoencoder-Based Framework to Capture Vocabulary Quality in NLP0
Mask-Guided Matting in the Wild0
Mask-Guided Portrait Editing with Conditional GANs0
Toward Understanding the Impact of Staleness in Distributed Machine Learning0
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs0
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction0
Autocompletion interfaces make crowd workers slower, but their use promotes response diversity0
Toward Wireless Localization Using Multiple Reconfigurable Intelligent Surfaces0
MATCHA: Can Multi-Agent Collaboration Build a Trustworthy Conversational Recommender?0
Matching-Based Selection with Incomplete Lists for Decomposition Multi-Objective Optimization0
Material Classification With Thermal Imagery0
Mathematical Modeling Analysis and Optimization of Fungal Diversity Growth0
Mathematical toy model inspired by the problem of the adaptive origins of the sexual orientation continuum0
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model0
Autocatalytic Sets and RNA Secondary Structure0
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints0
Matina: A Large-Scale 73B Token Persian Text Corpus0
Autobots@LT-EDI-EACL2021: One World, One Family: Hope Speech Detection with BERT Transformer Model0
AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment0
Matrix Factorization Equals Efficient Co-occurrence Representation0
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling0
Max and Coincidence Neurons in Neural Networks0
Max-Diversity Distributed Learning: Theory and Algorithms0
Maximally Separated Active Learning0
Maximizing Diversity for Multimodal Optimization0
Maximizing Ensemble Diversity in Deep Reinforcement Learning0
A Unified Batch Selection Policy for Active Metric Learning0
TPLogAD: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameters0
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles0
Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning0
Maximum-Entropy Fine Grained Classification0
Maximum-Entropy Fine-Grained Classification0
A User-Centered Investigation of Personal Music Tours0
TPPoet: Transformer-Based Persian Poem Generation using Minimal Data and Advanced Decoding Techniques0
MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding0
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining0
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms0
MaxMin-RLHF: Alignment with Diverse Human Preferences0
Max-Sum Diversification, Monotone Submodular Functions and Semi-metric Spaces0
A Universal Sets-level Optimization Framework for Next Set Recommendation0
A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges0
MC-GPT: Empowering Vision-and-Language Navigation with Memory Map and Reasoning Chains0
A universally consistent learning rule with a universally monotone error0
A Universality-Individuality Integration Model for Dialog Act Classification0
Tracking, exploring and analyzing recent developments in German-language online press in the face of the coronavirus crisis: cOWIDplus Analysis and cOWIDplus Viewer0
MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning0
MDM: Molecular Diffusion Model for 3D Molecule Generation0
MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs0
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