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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 3851–3900 of 9051 papers

TitleStatusHype
Federated Data Model—0
Distributed Deep Learning for Modulation Classification in 6G Cell-Free Wireless Networks—0
Humans-in-the-Building: Getting Rid of Thermostats for Optimal Thermal Comfort Control in Energy Management Systems—0
Prompt Selection and Augmentation for Few Examples Code Generation in Large Language Model and its Application in Robotics Control—0
Complementing cell taxonomies with a multicellular functional analysis of tissues—0
Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolution—0
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study—0
Multiple Population Alternate Evolution Neural Architecture Search—0
Attacking Transformers with Feature Diversity Adversarial Perturbation—0
Speeding up 6-DoF Grasp Sampling with Quality-Diversity—0
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image ClassificationCode0
Can Generative Models Improve Self-Supervised Representation Learning?Code0
Augmentations vs Algorithms: What Works in Self-Supervised Learning—0
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model—0
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement LearningCode0
Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation—0
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks—0
A New Benchmark for Evaluating Automatic Speech Recognition in the Arabic Call Domain—0
Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale Mechanistic Dataset—0
Greater than the sum of its parts: The role of minority and majority status in collaborative problem-solving communication—0
Measuring Diversity in Co-creative Image Generation—0
Cultural-Aware AI Model for Emotion RecognitionCode0
Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering—0
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN—0
Illuminating the property space in crystal structure prediction using Quality-Diversity algorithms—0
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training—0
Diffusion on language model encodings for protein sequence generation—0
A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data SetsCode0
Adaptive Discovering and Merging for Incremental Novel Class Discovery—0
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal DatasetsCode0
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation—0
Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds—0
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations—0
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection—0
Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making—0
NusaBERT: Teaching IndoBERT to be Multilingual and MulticulturalCode0
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages—0
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks—0
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models—0
Transfer Learning-Enhanced Instantaneous Multi-Person Indoor Localization by CSI—0
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting—0
Text-guided Explorable Image Super-resolution—0
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses—0
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models—0
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models—0
Enhancing Jailbreak Attacks with Diversity Guidance—0
Identify Critical Nodes in Complex Network with Large Language Models—0
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data SilosCode0
AI and Identity—0
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
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