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 476–500 of 9051 papers

TitleStatusHype
Can LLMs Patch Security Issues?Code1
Barbie: Text to Barbie-Style 3D AvatarsCode1
Can pre-trained models assist in dataset distillation?Code1
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text GenerationCode1
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation FrameworkCode1
Barcode Method for Generative Model Evaluation driven by Topological Data AnalysisCode1
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual LearningCode1
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksCode1
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue DatasetCode1
Aligning Language Models with Preferences through f-divergence MinimizationCode1
DiffSketching: Sketch Control Image Synthesis with Diffusion ModelsCode1
DirectMultiStep: Direct Route Generation for Multi-Step RetrosynthesisCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Adaptable Agent Populations via a Generative Model of PoliciesCode1
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and DetectionCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
Design of Chain-of-Thought in Math Problem SolvingCode1
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
A View From Somewhere: Human-Centric Face RepresentationsCode1
CETN: Contrast-enhanced Through Network for CTR PredictionCode1
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-Tree Complex Wavelet Representation and Contradict Channel LossCode1
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving PlannersCode1
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationCode1
Determinantal Point Process Likelihoods for Sequential RecommendationCode1
Show:102550
← PrevPage 20 of 363Next →

No leaderboard results yet.