SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2951–3000 of 9051 papers

TitleStatusHype
Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions—0
Escaping Local Optima using Crossover with Emergent or Reinforced Diversity—0
Dynamic Matching Markets in Power Grid: Concepts and Solution using Deep Reinforcement Learning—0
Dynamic Multi-Objective Lion Swarm Optimization with Multi-strategy Fusion: An application in 6R robot trajectory planning—0
Diversity-Aware k-Maximum Inner Product Search Revisited—0
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks—0
Dynamic Post-Hoc Neural Ensemblers—0
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation—0
Dynamic Range Independent Image Quality Assessment—0
Chameleon: On the Scene Diversity and Domain Variety of AI-Generated Videos Detection—0
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires—0
Dynamic Scale Inference by Entropy Minimization—0
Dynamics of Algorithmic Content Amplification on TikTok—0
A Parameterized Family of Meta-Submodular Functions—0
Dynamics of Transient Structure in In-Context Linear Regression Transformers—0
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation—0
Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks—0
Dynamic Swarm Dispersion in Particle Swarm Optimization for Mining Unsearched Area in Solution Space (DSDPSO)—0
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes—0
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system—0
DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI—0
DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition—0
DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation—0
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language—0
E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories—0
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation—0
Characterization of phase transitions in a model ecosystem of sessile species—0
Early Exiting with Ensemble Internal Classifiers—0
Broad Twitter Corpus: A Diverse Named Entity Recognition Resource—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
Characterizing Halloumi cheese bacterial communities through metagenomic analysis—0
Bringing Diversity from Diffusion Models to Semantic-Guided Face Asset Generation—0
Diversity-aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction—0
Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection—0
ECGAN: Self-supervised generative adversarial network for electrocardiography—0
Echo-chambers and Idea Labs: Communication Styles on Twitter—0
Echo Chambers in Collaborative Filtering Based Recommendation Systems—0
Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs—0
Characterizing the Social Interactions in the Artificial Bee Colony Algorithm—0
Ecological communities from random generalised Lotka-Volterra dynamics with non-linear feedback—0
Annotating Cognates and Etymological Origin in Turkic Languages—0
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes—0
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation—0
EDCompress: Energy-Aware Model Compression for Dataflows—0
Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting—0
Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities—0
Edge computing service deployment and task offloading based on multi-task high-dimensional multi-objective optimization—0
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection—0
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
Show:102550
← PrevPage 60 of 182Next →

No leaderboard results yet.