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 8276–8300 of 9051 papers

TitleStatusHype
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
Differentia compositionem facit. A Slower-Paced and Reliable Parser for Latin—0
Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization—0
Construction of Responsive Utterance Corpus for Attentive Listening Response Production—0
Differential learning kinetics govern the transition from memorization to generalization during in-context learning—0
Synergistic Team Composition: A Computational Approach to Foster Diversity in Teams—0
VizExtract: Automatic Relation Extraction from Data Visualizations—0
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models—0
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks—0
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit—0
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling—0
Construction and optimization of health behavior prediction model for the elderly in smart elderly care—0
Constructing Enhanced Mutual Information for Online Class-Incremental Learning—0
Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge—0
Constructing a meta-learner for unsupervised anomaly detection—0
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts—0
DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation—0
Constraint-Based Software Diversification for Efficient Mitigation of Code-Reuse Attacks—0
DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model—0
Constraint-based Diversification of JOP Gadgets—0
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose—0
DiffTED: One-shot Audio-driven TED Talk Video Generation with Diffusion-based Co-speech Gestures—0
Constrained Pseudo-market Equilibrium—0
SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching—0
Show:102550
← PrevPage 332 of 363Next →

No leaderboard results yet.