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 501–525 of 9051 papers

TitleStatusHype
Energy-Based Models for Code Generation under Compilability ConstraintsCode1
AlpaCare:Instruction-tuned Large Language Models for Medical ApplicationCode1
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data PruningCode1
AlphaFold Distillation for Protein DesignCode1
Dance with You: The Diversity Controllable Dancer Generation via Diffusion ModelsCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
AlphaGarden: Learning to Autonomously Tend a Polyculture GardenCode1
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial DefenseCode1
Entropy Minimization vs. Diversity Maximization for Domain AdaptationCode1
Curriculum-guided Hindsight Experience ReplayCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
CrowdHuman: A Benchmark for Detecting Human in a CrowdCode1
Dan: Deep attention neural network for news recommendationCode1
Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19Code1
Cross-Covariate Gait Recognition: A BenchmarkCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context DemonstrationsCode1
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
Adversarial Semantic Data Augmentation for Human Pose EstimationCode1
Generating Diverse High-Fidelity Images with VQ-VAE-2Code1
Show:102550
← PrevPage 21 of 363Next →

No leaderboard results yet.