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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 3951–4000 of 9051 papers

TitleStatusHype
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-TranslationCode0
Benchmarking state-of-the-art gradient boosting algorithms for classification—0
Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results—0
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing—0
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score DistillationCode1
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning—0
Mapping ChatGPT in Mainstream Media to Unravel Jobs and Diversity Challenges: Early Quantitative Insights through Sentiment Analysis and Word Frequency Analysis—0
Rethinking Diversity in Deep Neural Network Testing—0
Learning to Act through Evolution of Neural Diversity in Random Neural Networks—0
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph DiffusionCode1
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image SegmentationCode1
Unifying gradient regularization for Heterogeneous Graph Neural NetworksCode0
Diversity-Aware Coherence Loss for Improving Neural Topic ModelsCode0
Optimized Custom Dataset for Efficient Detection of Underwater TrashCode1
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks—0
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems—0
Manifold Diffusion Fields—0
Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer—0
Psychological Metrics for Dialog System Evaluation—0
Voices of Her: Analyzing Gender Differences in the AI Publication WorldCode0
Drafting Event Schemas using Language Models—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-benchCode0
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog GenerationCode0
gRNAde: Geometric Deep Learning for 3D RNA inverse designCode2
CodeInstruct: Empowering Language Models to Edit CodeCode1
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability AssessmentCode1
Curse of "Low" Dimensionality in Recommender Systems—0
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database—0
GUARD: A Safe Reinforcement Learning BenchmarkCode1
A Critical Reexamination of Intra-List Distance and Dispersion—0
GrACE: Generation using Associated Code Edits—0
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLPCode0
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning—0
NeuralMatrix: Compute the Entire Neural Networks with Linear Matrix Operations for Efficient Inference—0
Active Learning Principles for In-Context Learning with Large Language Models—0
Co-Learning Empirical Games and World Models—0
Enhancing Chat Language Models by Scaling High-quality Instructional ConversationsCode4
Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from EventsCode0
A study of conceptual language similarity: comparison and evaluation—0
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows—0
LMGQS: A Large-scale Dataset for Query-focused Summarization—0
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist ExaminationCode0
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification—0
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model RobustnessCode0
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning ArchitectureCode0
Single Domain Dynamic Generalization for Iris Presentation Attack Detection—0
Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation—0
Diversity and Inclusion in Artificial Intelligence—0
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