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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 4751–4800 of 9051 papers

TitleStatusHype
Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model—0
Investigating the Impact of Text Summarization on Topic Modeling—0
Towards Algorithmic Transparency: A Diversity Perspective—0
Investigating the interaction of linguistic and mathematical reasoning in language models using multilingual number puzzles—0
Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes—0
Investors Embrace Gender Diversity, Not Female CEOs: The Role of Gender in Startup Fundraising—0
Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection—0
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts—0
Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale Mechanistic Dataset—0
Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN—0
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data—0
IRS-Assisted Massive MIMO-NOMA Networks: Exploiting Wave Polarization—0
IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity—0
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model—0
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble—0
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models—0
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning—0
Towards a Probabilistic Fusion Approach for Robust Battery Prognostics—0
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)—0
Towards a Similarity-adjusted Surprisal Theory—0
Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI—0
Towards assessing agricultural land suitability with causal machine learning—0
What are Public Concerns about ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You—0
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders—0
Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering—0
Is Out-of-Distribution Detection Learnable?—0
ISP-Agnostic Image Reconstruction for Under-Display Cameras—0
Is Pre-training Truly Better Than Meta-Learning?—0
Is Support Set Diversity Necessary for Meta-Learning?—0
Is the Capability approach a useful tool for decision aiding in public policy making?—0
What are you optimizing for? Aligning Recommender Systems with Human Values—0
Is There Mode Collapse? A Case Study on Face Generation and Its Black-box Calibration—0
Is the U.S. Legal System Ready for AI's Challenges to Human Values?—0
Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions—0
Item-Item Music Recommendations With Side Information—0
Iterative Averaging in the Quest for Best Test Error—0
Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search—0
Iterative Classroom Teaching—0
Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis—0
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness—0
Stochastic Region Pooling: Make Attention More Expressive—0
Iteratively Learn Diverse Strategies with State Distance Information—0
Itinerary-aware Personalized Deep Matching at Fliggy—0
Beyond Diagonal RIS-Aided Networks: Performance Analysis and Sectorization Tradeoff—0
JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry—0
Towards a Universal Features Set for IoT Botnet Attacks Detection—0
Jailbreak Distillation: Renewable Safety Benchmarking—0
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning—0
Towards Automatic Construction of Diverse, High-quality Image Dataset—0
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data—0
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