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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 3926–3950 of 9051 papers

TitleStatusHype
Finding Near-Optimal Portfolios With Quality-Diversity—0
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion ModelingCode0
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities—0
Hands-Free VR—0
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control—0
Fine-Grained Detoxification via Instance-Level Prefixes for Large Language ModelsCode0
CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models—0
Ten computational challenges in human virome studies—0
Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns—0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization—0
Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting—0
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization—0
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness—0
Diversity-Aware k-Maximum Inner Product Search Revisited—0
Se^2: Sequential Example Selection for In-Context Learning—0
WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound DatabaseCode0
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trickCode0
NeRF Solves Undersampled MRI Reconstruction—0
Robust Model Predictive Control for nonlinear discrete-time systems using iterative time-varying constraint tightening—0
Evolving AI Collectives to Enhance Human Diversity and Enable Self-Regulation—0
IRR: Image Review Ranking Framework for Evaluating Vision-Language Models—0
Parallel Structures in Pre-training Data Yield In-Context LearningCode0
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach—0
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning—0
MONAL: Model Autophagy Analysis for Modeling Human-AI Interactions—0
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