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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 551–600 of 9051 papers

TitleStatusHype
DeepHuman: 3D Human Reconstruction from a Single ImageCode1
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based RecommendationCode1
DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector QuantizationCode1
Grounding Language to Autonomously-Acquired Skills via Goal GenerationCode1
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative GenerationCode1
Advancing Fine-Grained Classification by Structure and Subject Preserving AugmentationCode1
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design ApplicationsCode1
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower BoundsCode1
Deep Image Harmonization with Learnable AugmentationCode1
Data Augmentation using Pre-trained Transformer ModelsCode1
Data Augmentation Approaches in Natural Language Processing: A SurveyCode1
Data Augmentation via Latent Diffusion for Saliency PredictionCode1
DART: Articulated Hand Model with Diverse Accessories and Rich TexturesCode1
Data Augmentation Alone Can Improve Adversarial TrainingCode1
Dataset Factorization for CondensationCode1
Dance with You: The Diversity Controllable Dancer Generation via Diffusion ModelsCode1
DALNet: A Rail Detection Network Based on Dynamic Anchor LineCode1
Dan: Deep attention neural network for news recommendationCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance ScalingCode1
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphCode1
Dataset GrowthCode1
Deep Ordinal Regression with Label DiversityCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
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
Advanced Codebook Design for SCMA-aided NTNs With Randomly Distributed UsersCode1
Cross-Covariate Gait Recognition: A BenchmarkCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
Cross-Domain Feature Augmentation for Domain GeneralizationCode1
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data PruningCode1
A Doubly Decoupled Network for edge detectionCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata EcosystemsCode1
Cooperative Open-ended Learning Framework for Zero-shot CoordinationCode1
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context DemonstrationsCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
Controllable Video Captioning with an Exemplar SentenceCode1
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
An Extensible Benchmark Suite for Learning to Simulate Physical SystemsCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
dacl10k: Benchmark for Semantic Bridge Damage SegmentationCode1
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