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 901–950 of 9051 papers

TitleStatusHype
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
LayoutTransformer: Scene Layout Generation With Conceptual and Spatial DiversityCode1
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal TransferCode1
Learning diverse attacks on large language models for robust red-teaming and safety tuningCode1
Learning Diverse Risk Preferences in Population-based Self-playCode1
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense InferenceCode1
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
Learning In-context Learning for Named Entity RecognitionCode1
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis TransferCode1
Learning Texture Invariant Representation for Domain Adaptation of Semantic SegmentationCode1
Learning to Generate Novel Domains for Domain GeneralizationCode1
Toward a Plug-and-Play Vision-Based Grasping Module for RoboticsCode1
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled DataCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
Learning to See by Looking at NoiseCode1
Adding Seemingly Uninformative Labels Helps in Low Data RegimesCode1
Learn to Augment: Joint Data Augmentation and Network Optimization for Text RecognitionCode1
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text GenerationCode1
Leverage Your Local and Global Representations: A New Self-Supervised Learning StrategyCode1
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection BiasCode1
Leveraging Knowledge Bases And Parallel Annotations For Music Genre TranslationCode1
Controllable Video Captioning with an Exemplar SentenceCode1
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense ExpansionsCode1
Lipschitz-constrained Unsupervised Skill DiscoveryCode1
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity OptimizationCode1
Cooperative Open-ended Learning Framework for Zero-shot CoordinationCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text GenerationCode1
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different DatasetsCode1
Controllable Group Choreography using Contrastive DiffusionCode1
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking BenchmarkCode1
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal DataCode1
M2m: Imbalanced Classification via Major-to-minor TranslationCode1
A Large-Scale Database for Graph Representation LearningCode1
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph EmbeddingCode1
A Large-Scale Study on Video Action Dataset CondensationCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
Contrastive Quantization with Code Memory for Unsupervised Image RetrievalCode1
MambaPupil: Bidirectional Selective Recurrent model for Event-based Eye trackingCode1
Contrastive Model Inversion for Data-Free Knowledge DistillationCode1
MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling ProblemCode1
Contrastive Syn-to-Real GeneralizationCode1
Controllable Multi-Interest Framework for RecommendationCode1
Continual Variational Autoencoder Learning via Online Cooperative MemorizationCode1
Continual Object Detection via Prototypical Task Correlation Guided Gating MechanismCode1
Barbie: Text to Barbie-Style 3D AvatarsCode1
Maximum Entropy Population-Based Training for Zero-Shot Human-AI CoordinationCode1
BanglaParaphrase: A High-Quality Bangla Paraphrase DatasetCode1
Contrastive Identity-Aware Learning for Multi-Agent Value DecompositionCode1
Show:102550
← PrevPage 19 of 182Next →

No leaderboard results yet.