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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 601–650 of 9051 papers

TitleStatusHype
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
Dataset GrowthCode1
dacl10k: Benchmark for Semantic Bridge Damage SegmentationCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
Curriculum-guided Hindsight Experience ReplayCode1
CrowdHuman: A Benchmark for Detecting Human in a CrowdCode1
Cross-Domain Feature Augmentation for Domain GeneralizationCode1
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design ApplicationsCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
A Closer Look at Machine Unlearning for Large Language ModelsCode1
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata EcosystemsCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
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
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data PruningCode1
Cross-Covariate Gait Recognition: A BenchmarkCode1
DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance ScalingCode1
A Diverse Corpus for Evaluating and Developing English Math Word Problem SolversCode1
An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text GenerationCode1
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphCode1
DART: Articulated Hand Model with Diverse Accessories and Rich TexturesCode1
Data Augmentation Approaches in Natural Language Processing: A SurveyCode1
Data Augmentation using Pre-trained Transformer ModelsCode1
An Empirical Study of Vehicle Re-Identification on the AI City ChallengeCode1
Controllable Video Captioning with an Exemplar SentenceCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR DataCode1
Controllable Open-ended Question Generation with A New Question Type OntologyCode1
DeepHuman: 3D Human Reconstruction from a Single ImageCode1
Deep Ordinal Regression with Label DiversityCode1
An Extensible Benchmark Suite for Learning to Simulate Physical SystemsCode1
Deep Sketch-Based Modeling: Tips and TricksCode1
Deep Time Series Forecasting with Shape and Temporal CriteriaCode1
Controllable Multi-Interest Framework for RecommendationCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
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