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 1401–1450 of 9051 papers

TitleStatusHype
EvolGAN: Evolutionary Generative Adversarial NetworksCode1
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial LearningCode1
Ape210K: A Large-Scale and Template-Rich Dataset of Math Word ProblemsCode1
DiffWave: A Versatile Diffusion Model for Audio SynthesisCode1
DVG-Face: Dual Variational Generation for Heterogeneous Face RecognitionCode1
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific DeltaCode1
Group-wise Contrastive Learning for Neural Dialogue GenerationCode1
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from DataCode1
IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language UnderstandingCode1
Towards Unique and Informative Captioning of ImagesCode1
DeepFacePencil: Creating Face Images from Freehand SketchesCode1
Mapping Researchers with PeopleMapCode1
Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR DataCode1
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of ModelsCode1
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential RecommendationCode1
Contextual Diversity for Active LearningCode1
TransNet V2: An effective deep network architecture for fast shot transition detectionCode1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-IdentificationCode1
F2GAN: Fusing-and-Filling GAN for Few-shot Image GenerationCode1
PhraseCut: Language-based Image Segmentation in the WildCode1
Adversarial Semantic Data Augmentation for Human Pose EstimationCode1
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking BenchmarkCode1
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution UnitCode1
FHDe²Net: Full High Definition Demoireing NetworkCode1
IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News ArticlesCode1
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich AnnotationsCode1
Comprehensive Image Captioning via Scene Graph DecompositionCode1
End-to-End Optimization of Scene LayoutCode1
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic ProgrammingCode1
Regularizing Deep Networks with Semantic Data AugmentationCode1
Adding Seemingly Uninformative Labels Helps in Low Data RegimesCode1
Length-Controllable Image CaptioningCode1
On Disentangling Spoof Trace for Generic Face Anti-SpoofingCode1
When and how CNNs generalize to out-of-distribution category-viewpoint combinationsCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial NetworkCode1
Sequence Generation with Mixed RepresentationsCode1
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement LearningCode1
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge BaseCode1
Learning to Generate Novel Domains for Domain GeneralizationCode1
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image RecognitionCode1
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer ModelsCode1
HausaMT v1.0: Towards English--Hausa Neural Machine TranslationCode1
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue GenerationCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
Deep Ordinal Regression with Label DiversityCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
SRFlow: Learning the Super-Resolution Space with Normalizing FlowCode1
Show:102550
← PrevPage 29 of 182Next →

No leaderboard results yet.