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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 376–400 of 9051 papers

TitleStatusHype
T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMsCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
DELT: A Simple Diversity-driven EarlyLate Training for Dataset DistillationCode1
Global Tensor Motion PlanningCode1
Spectral-Spatial Transformer with Active Transfer Learning for Hyperspectral Image ClassificationCode1
MAT: Multi-Range Attention Transformer for Efficient Image Super-ResolutionCode1
Image Generation Diversity Issues and How to Tame ThemCode1
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in ThaiCode1
FastGrasp: Efficient Grasp Synthesis with DiffusionCode1
NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language ModelsCode1
SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code GenerationCode1
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationCode1
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-IDCode1
Generating Highly Designable Proteins with Geometric Algebra Flow MatchingCode1
Community Forensics: Using Thousands of Generators to Train Fake Image DetectorsCode1
SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-AgentsCode1
Not Just Object, But State: Compositional Incremental Learning without ForgettingCode1
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language AttackCode1
GS-Blur: A 3D Scene-Based Dataset for Realistic Image DeblurringCode1
Topic-Conversation Relevance (TCR) Dataset and BenchmarksCode1
AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive ScenariosCode1
C^2: Scalable Auto-Feedback for LLM-based Chart GenerationCode1
Reinforcement learning on structure-conditioned categorical diffusion for protein inverse foldingCode1
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?Code1
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote SensingCode1
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