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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 3701–3750 of 9051 papers

TitleStatusHype
Measuring Diversity of Game Scenarios—0
Coreset Selection for Object Detection—0
Fault Detection in Mobile Networks Using Diffusion Models—0
From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language RepresentationCode0
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness—0
The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation—0
Understanding the Role of Temperature in Diverse Question Generation by GPT-4—0
Improved Paraphrase Generation via Controllable Latent DiffusionCode0
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning—0
Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping—0
Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic SegmentationCode0
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning—0
Direct May Not Be the Best: An Incremental Evolution View of Pose GenerationCode0
Analyzing and Overcoming Local Optima in Complex Multi-Objective Optimization by Decomposition-Based Evolutionary Algorithms—0
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization—0
Generalization Gap in Data Augmentation: Insights from Illumination—0
WaveMo: Learning Wavefront Modulations to See Through Scattering—0
CAT: Contrastive Adapter Training for Personalized Image GenerationCode0
MSciNLI: A Diverse Benchmark for Scientific Natural Language InferenceCode0
Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context LearningCode0
Achieving Tight O(4^k) Runtime Bounds on Jump_k by Proving that Genetic Algorithms Evolve Near-Maximal Population Diversity—0
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial NetworksCode0
Hedonic Models Incorporating ESG Factors for Time Series of Average Annual Home Prices—0
DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space—0
Exploring Diverse Sounds: Identifying Outliers in a Music Corpus—0
The impact of data set similarity and diversity on transfer learning success in time series forecasting—0
Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning—0
In-Flight Estimation of Instrument Spectral Response Functions Using Sparse Representations—0
Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population—0
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?—0
Dynamic Quality-Diversity SearchCode0
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems—0
Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble MannerCode0
RaSim: A Range-aware High-fidelity RGB-D Data Simulation Pipeline for Real-world Applications—0
Model Selection with Model Zoo via Graph LearningCode0
Robust Few-Shot Ensemble Learning with Focal Diversity-Based PruningCode0
LCM-Lookahead for Encoder-based Text-to-Image Personalization—0
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning—0
Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity PragmaticsCode0
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning—0
Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation—0
InsectMamba: Insect Pest Classification with State Space Model—0
On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative ComprehensionCode0
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison—0
On the Scalability of Diffusion-based Text-to-Image Generation—0
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes—0
DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement—0
Voice EHR: Introducing Multimodal Audio Data for Health—0
GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image—0
Corpus Considerations for Annotator Modeling and ScalingCode0
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