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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 4951–5000 of 9051 papers

TitleStatusHype
Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis—0
Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop—0
Large-Margin Determinantal Point Processes—0
Active Adversarial Domain Adaptation—0
Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN—0
Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering—0
Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI—0
Behaviour Planning: A Toolkit for Diverse Planning—0
What leads to generalization of object proposals?—0
Large Scale Photometric Bundle Adjustment—0
Behavioural Repertoire via Generative Adversarial Policy Networks—0
Large-scale Reinforcement Learning for Diffusion Models—0
Large-Scale Survey of Cell-Differentiation Programs in a Generative Model Reveals Regeneration as an Epiphenomenon of Development—0
Behavioral Repertoires for Soft Tensegrity Robots—0
Behavioral Malware Classification using Convolutional Recurrent Neural Networks—0
Behaviorally Diverse Traffic Simulation via Reinforcement Learning—0
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation—0
Lasso Bandit with Compatibility Condition on Optimal Arm—0
Lasting Diversity and Superior Runtime Guarantees for the (μ+1) Genetic Algorithm—0
Beefmoves: Dissemination, Diversity, and Dynamics of English Borrowings in a German Hip Hop Forum—0
LatentCRF: Continuous CRF for Efficient Latent Diffusion—0
Becoming More Robust to Label Noise with Classifier Diversity—0
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation—0
Action Unit Memory Network for Weakly Supervised Temporal Action Localization—0
Latent Lexical Projection in Large Language Models: A Novel Approach to Implicit Representation Refinement—0
What Makes for Good Representations for Contrastive Learning—0
Latent Part-of-Speech Sequences for Neural Machine Translation—0
Beauty beacon: correlated strategies for the Fisher runaway process—0
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation—0
Towards Effective Graph Rationalization via Boosting Environment Diversity—0
Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization—0
Latent Video Dataset Distillation—0
Lattice-Based Transformer Encoder for Neural Machine Translation—0
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming—0
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching—0
Layer-diverse Negative Sampling for Graph Neural Networks—0
LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow—0
Layers of technology in pluriversal design. Decolonising language technology with the LiveLanguage initiative—0
Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation—0
LayoutDM: Transformer-based Diffusion Model for Layout Generation—0
Beamforming for Movable and Rotatable Antenna Enabled Multi-User Communications—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
LC3Net: Ladder context correlation complementary network for salient object detection—0
LCM-Lookahead for Encoder-based Text-to-Image Personalization—0
LCReg: Long-Tailed Image Classification with Latent Categories based Recognition—0
LDMGAN: Reducing Mode Collapse in GANs with Latent Distribution Matching—0
LDPC-Coded Molecular Communications with Increased Diversity—0
LDPC Codes in Cooperative Communication—0
LEAD: Latent Realignment for Human Motion Diffusion—0
LeaningTower@LT-EDI-ACL2022: When Hope and Hate Collide—0
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