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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 2251–2300 of 9051 papers

TitleStatusHype
Action Understanding with Multiple Classes of Actors—0
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior—0
Combining keyphrase extraction and lexical diversity to characterize ideas in publication titles—0
Combining Kernelized Autoencoding and Centroid Prediction for Dynamic Multi-objective Optimization—0
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization—0
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study—0
A generative framework for conversational laughter: Its 'language model' and laughter sound synthesis—0
Combinatorial diversity metrics for the analysis of policy processes—0
Are we human, or are we users? The role of natural language processing in human-centric news recommenders that nudge users to diverse content—0
Combating Misinformation in the Arab World: Challenges & Opportunities—0
CoLV: A Collaborative Latent Variable Model for Knowledge-Grounded Dialogue Generation—0
A Reward-driven Automated Webshell Malicious-code Generator for Red-teaming—0
A Decoupled 3D Facial Shape Model by Adversarial Training—0
A General Purpose Neural Architecture for Geospatial Systems—0
Color Alignment in Diffusion—0
Co-localization in Real-World Images—0
MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models—0
A Review on Quantile Regression for Stochastic Computer Experiments—0
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search—0
A Review on Automated Brain Tumor Detection and Segmentation from MRI of Brain—0
Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks—0
Collecting Entailment Data for Pretraining: New Protocols and Negative Results—0
A Generalized Space-Frequency Index Modulation Scheme for Downlink MIMO Transmissions with Improved Diversity—0
Diverse Score Distillation—0
Diverse, Top-k, and Top-Quality Planning Over Simulators—0
COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models—0
A review of TinyML—0
Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation—0
Collaborative Perception Datasets in Autonomous Driving: A Survey—0
A Review of the Marathi Natural Language Processing—0
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems—0
Collaborative Machine Learning Model Building with Families Using Co-ML—0
A review of approaches to modeling applied vehicle routing problems—0
Collaborative Evaluation of Deepfake Text with Deliberation-Enhancing Dialogue Systems—0
Collaborative Data Relabeling for Robust and Diverse Voice Apps Recommendation in Intelligent Personal Assistants—0
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition—0
AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation—0
Co-Learning Empirical Games and World Models—0
Co-Learning Bayesian Optimization—0
A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments—0
A reproducibility study of "Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space"—0
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings—0
CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence—0
Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues—0
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning—0
Coherent Visual Storytelling via Parallel Top-Down Visual and Topic Attention—0
Coherent FDA Radar: Transmitter and Receiver Design and Analysis—0
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies—0
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