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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 4801–4850 of 9051 papers

TitleStatusHype
Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference—0
DOS: Diverse Outlier Sampling for Out-of-Distribution DetectionCode0
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation—0
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation—0
On Feature Diversity in Energy-based Models—0
KL-Divergence Guided Temperature SamplingCode0
Knowledge of cultural moral norms in large language modelsCode0
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction—0
Survey of Trustworthy AI: A Meta Decision of AI—0
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation—0
Some voices are too common: Building fair speech recognition systems using the Common Voice dataset—0
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific DocumentsCode0
Adaptive Coordination in Social Embodied Rearrangement—0
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty QuantificationCode0
Generating Behaviorally Diverse Policies with Latent Diffusion Models—0
Compositional diversity in visual concept learning—0
Sparse species interactions reproduce abundance correlation patterns in microbial communities—0
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection—0
Runtime Analysis of Quality Diversity Algorithms—0
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching—0
Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation—0
Forgotten Knowledge: Examining the Citational Amnesia in NLP—0
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender—0
NashFormer: Leveraging Local Nash Equilibria for Semantically Diverse Trajectory Prediction—0
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning—0
The use of Ethnomedicinal plants in Indigenous Health Care Practice of the Hajong Tribe community in Durgapur, Bangladesh—0
Benchmarking state-of-the-art gradient boosting algorithms for classification—0
Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark—0
StyleHumanCLIP: Text-guided Garment Manipulation for StyleGAN-Human—0
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing—0
Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results—0
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-TranslationCode0
Rethinking Diversity in Deep Neural Network Testing—0
Diversity-Aware Coherence Loss for Improving Neural Topic ModelsCode0
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
Learning to Act through Evolution of Neural Diversity in Random Neural Networks—0
Unifying gradient regularization for Heterogeneous Graph Neural NetworksCode0
Manifold Diffusion Fields—0
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog GenerationCode0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-benchCode0
Psychological Metrics for Dialog System Evaluation—0
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems—0
Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer—0
Voices of Her: Analyzing Gender Differences in the AI Publication WorldCode0
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks—0
Drafting Event Schemas using Language Models—0
A Critical Reexamination of Intra-List Distance and Dispersion—0
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning—0
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