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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

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Showing 4251–4300 of 9051 papers

TitleStatusHype
Siamese Graph Learning for Semi-supervised Age EstimationCode0
Architext: Language-Driven Generative Architecture Design—0
ODIN: On-demand Data Formulation to Mitigate Dataset Lock-in—0
Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos—0
Compressed Heterogeneous Graph for Abstractive Multi-Document SummarizationCode0
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic NetworksCode0
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image—0
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning—0
Semi-Federated Learning for Collaborative Intelligence in Massive IoT NetworksCode1
Unifying Layout Generation with a Decoupled Diffusion Model—0
Knowledge-augmented Few-shot Visual Relation Detection—0
An Unscented Kalman Filter-Informed Neural Network for Vehicle Sideslip Angle Estimation—0
RiDDLE: Reversible and Diversified De-identification with Latent EncryptorCode1
RMMDet: Road-Side Multitype and Multigroup Sensor Detection System for Autonomous DrivingCode1
Diversity-Measurable Anomaly DetectionCode1
3DGen: Triplane Latent Diffusion for Textured Mesh GenerationCode2
The evolution of cooperation and diversity by integrated indirect reciprocity—0
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Bias, diversity, and challenges to fairness in classification and automated text analysis. From libraries to AI and back—0
SemEval-2023 Task 10: Explainable Detection of Online SexismCode1
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired SkillsCode0
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy PerceptionCode2
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding—0
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRICode1
Emergent competition shapes the ecological properties of multi-trophic ecosystems—0
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer LearningCode0
Streaming Active Learning with Deep Neural NetworksCode2
SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic DataCode1
Mining both Commonality and Specificity from Multiple Documents for Multi-Document Summarization—0
Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output CodesCode0
Data Augmentation for Generating Synthetic Electrogastrogram Time SeriesCode0
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing SymmetriesCode0
Effective Visualization and Analysis of Recommender Systems—0
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization—0
Neural Video Compression with Diverse ContextsCode1
Toward Robust Uncertainty Estimation with Random Activation FunctionsCode0
DREAM: Efficient Dataset Distillation by Representative MatchingCode1
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?—0
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image AnalysisCode1
DEff-GAN: Diverse Attribute Transfer for Few-Shot Image SynthesisCode0
Finding Support Examples for In-Context Learning—0
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets—0
Cross-modal Face- and Voice-style Transfer—0
Diversity matters: Robustness of bias measurements in WikidataCode0
Tailoring Language Generation Models under Total Variation DistanceCode1
Closed-loop Error Correction Learning Accelerates Experimental Discovery of Thermoelectric MaterialsCode0
Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition—0
Speech Corpora Divergence Based Unsupervised Data Selection for ASR—0
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