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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 5551–5600 of 9051 papers

TitleStatusHype
Table-to-Text Generation with Pretrained Diffusion Models—0
TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution—0
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies—0
Tailor: An Integrated Text-Driven CG-Ready Human and Garment Generation System—0
Tailoring Generative Adversarial Networks for Smooth Airfoil Design—0
Taking the Scenic Route: Automatic Exploration for Videogames—0
Taming and Leveraging Interference in Mobile Radar Networks—0
Taming Latent Diffusion Model for Neural Radiance Field Inpainting—0
Taming Repetition in Dialogue Generation—0
TANGLED: Generating 3D Hair Strands from Images with Arbitrary Styles and Viewpoints—0
TARDiS : Text Augmentation for Refining Diversity and Separability—0
Target Conditioning for One-to-Many Generation—0
Target Detection in OFDM-ISAC Systems: A Multipath Exploitation Approach—0
Targeted AMP generation through controlled diffusion with efficient embeddings—0
Targeted Augmentation for Low-Resource Event Extraction—0
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch—0
TaskMix: Data Augmentation for Meta-Learning of Spoken Intent Understanding—0
TA-Student VQA: Multi-Agents Training by Self-Questioning—0
T cell receptor binding prediction: A machine learning revolution—0
Teaching to Teach by Structured Dark Knowledge—0
Technical Report: Competition Solution For BetterMixture—0
Techtile -- Open 6G R&D Testbed for Communication, Positioning, Sensing, WPT and Federated Learning—0
Teleconnection patterns of different El Niño types revealed by climate network curvature—0
Template-based eukaryotic genome editing directed by SviCas3—0
Temporal Distinct Representation Learning for Action Recognition—0
Temporal Regularization Makes Your Video Generator Stronger—0
Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation—0
Ten computational challenges in human virome studies—0
Tensor Decomposition based Personalized Federated Learning—0
Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks—0
Testing Determinantal Point Processes—0
Testing High-dimensional Multinomials with Applications to Text Analysis—0
Testing macroecological theories in cryptocurrency market: neutral models can not describe diversity patterns and their variation—0
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning—0
Test-Optional Admissions—0
Test-time Adaptation for Cross-modal Retrieval with Query Shift—0
Test-Time Intensity Consistency Adaptation for Shadow Detection—0
Text2Immersion: Generative Immersive Scene with 3D Gaussians—0
Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization—0
Text Complexity And Linguistic Features: Is The Relationship Multilingual?—0
Text-Conditional Contextualized Avatars For Zero-Shot Personalization—0
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language—0
TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering—0
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement—0
Text-driven Human Motion Generation with Motion Masked Diffusion Model—0
TextGAIL: Generative Adversarial Imitation Learning for Text Generation—0
Text Generation with Deep Variational GAN—0
Text-guided Diffusion Model for 3D Molecule Generation—0
Text-guided Explorable Image Super-resolution—0
Text Image Generation for Low-Resource Languages with Dual Translation Learning—0
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