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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 651–700 of 9051 papers

TitleStatusHype
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
Design of Chain-of-Thought in Math Problem SolvingCode1
A Doubly Decoupled Network for edge detectionCode1
Cross-Covariate Gait Recognition: A BenchmarkCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images GenerationCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
An Informative Tracking BenchmarkCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
Curriculum-guided Hindsight Experience ReplayCode1
Advanced Codebook Design for SCMA-aided NTNs With Randomly Distributed UsersCode1
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response GenerationCode1
An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text GenerationCode1
Difficulty-Aware Simulator for Open Set RecognitionCode1
An Empirical Study of Vehicle Re-Identification on the AI City ChallengeCode1
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion PriorCode1
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context DemonstrationsCode1
Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata EcosystemsCode1
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealingCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
Diffusion Reward: Learning Rewards via Conditional Video DiffusionCode1
Annotation-Efficient Preference Optimization for Language Model AlignmentCode1
APOLLO: An Optimized Training Approach for Long-form Numerical ReasoningCode1
DirectMultiStep: Direct Route Generation for Multi-Step RetrosynthesisCode1
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier ExamplesCode1
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
Distributed speech separation in spatially unconstrained microphone arraysCode1
An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue GenerationCode1
DivClust: Controlling Diversity in Deep ClusteringCode1
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
Cooperative Open-ended Learning Framework for Zero-shot CoordinationCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
Advancing Fine-Grained Classification by Structure and Subject Preserving AugmentationCode1
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline GenerationCode1
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative GenerationCode1
Diverse Generative Perturbations on Attention Space for Transferable Adversarial AttacksCode1
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
Diverse Image Captioning with Context-Object Split Latent SpacesCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
Diverse Policy Optimization for Structured Action SpaceCode1
Diverse Video Generation using a Gaussian Process TriggerCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Diversified Batch Selection for Training AccelerationCode1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classificationCode1
Diversifying Dialog Generation via Adaptive Label SmoothingCode1
DeepFacePencil: Creating Face Images from Freehand SketchesCode1
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