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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 6951–6975 of 9051 papers

TitleStatusHype
Multi-Modal Emotion Recognition by Text, Speech and Video Using Pretrained Transformers—0
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization—0
Multi-modal Motion Prediction using Temporal Ensembling with Learning-based Aggregation—0
Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback—0
Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark—0
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior—0
Multi-modular domain-tailored OCR post-correction—0
Multi-Novelty: Improve the Diversity and Novelty of Contents Generated by Large Language Models via inference-time Multi-Views Brainstorming—0
Multi-Objective Algorithms for Learning Open-Ended Robotic Problems—0
Multi-objective Cat Swarm Optimization Algorithm based on a Grid System—0
Multi-objective Consensus Clustering Framework for Flight Search Recommendation—0
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation—0
Multi-objective Memetic Algorithm with Adaptive Weights for Inverse Antenna Design—0
Multi Objective Particle Swarm Optimization based Cooperative Agents with Automated Negotiation—0
Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions—0
Multipath Exploitation for Fluctuating Target Detection in RIS-Assisted ISAC Systems—0
Multipath Identification and Mitigation with FDA-MIMO Radar—0
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation—0
Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems—0
Multiple Captions Embellished Multilingual Multi-Modal Neural Machine Translation—0
Multiple-Choice Question Generation: Towards an Automated Assessment Framework—0
Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes—0
Multiple Embeddings for Quantum Machine Learning—0
Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem—0
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems—0
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