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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 51–100 of 9051 papers

TitleStatusHype
GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models—0
Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMsCode0
Efficient Medical VIE via Reinforcement Learning—0
Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching—0
Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aorta Aneurysm Generation—0
Investigating the interaction of linguistic and mathematical reasoning in language models using multilingual number puzzles—0
High Socioeconomic Status is Associated with Diverse Consumption across Brands and Price Levels—0
What Matters in Learning from Large-Scale Datasets for Robot Manipulation—0
IKDiffuser: A Generative Inverse Kinematics Solver for Multi-arm Robots via Diffusion Model—0
A Multi-Agent Probabilistic Inference Framework Inspired by Kairanban-Style CoT System with IdoBata Conversation for Debiasing—0
Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity ControlCode0
Data-Driven Soil Organic Carbon Sampling: Integrating Spectral Clustering with Conditioned Latin Hypercube Optimization—0
Optimus-3: Towards Generalist Multimodal Minecraft Agents with Scalable Task Experts—0
Unsourced Adversarial CAPTCHA: A Bi-Phase Adversarial CAPTCHA Framework—0
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning—0
Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMsCode2
Neutral theory of cooperators—0
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?—0
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)—0
SPARKE: Scalable Prompt-Aware Diversity Guidance in Diffusion Models via RKE Score—0
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language ModelsCode1
UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian SplattingCode2
Efficient Part-level 3D Object Generation via Dual Volume PackingCode4
Intent Factored Generation: Unleashing the Diversity in Your Language ModelCode0
GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments—0
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction—0
Scalable and Cost-Efficient de Novo Template-Based Molecular GenerationCode1
An Explainable Deep Learning Framework for Brain Stroke and Tumor Progression via MRI Interpretation—0
The Cell Ontology in the age of single-cell omicsCode0
Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field SamplingCode0
Exploration by Random Reward Perturbation—0
Diffusion Models for Safety Validation of Autonomous Driving Systems—0
Diversity-Guided MLP Reduction for Efficient Large Vision TransformersCode1
Slow and Fast Neurons Cooperate in Contextual Working Memory through Timescale Diversity—0
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark—0
A weighted quantum ensemble of homogeneous quantum classifiers—0
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models—0
OpenDance: Multimodal Controllable 3D Dance Generation Using Large-scale Internet Data—0
ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning—0
Correlated Errors in Large Language Models—0
CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction—0
MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert SpecializationCode0
Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models—0
AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill DiversificationCode1
SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms—0
Noise Consistency Regularization for Improved Subject-Driven Image Synthesis—0
The Lock-in Hypothesis: Stagnation by Algorithm—0
Antithetic Noise in Diffusion Models—0
BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly—0
Combating Misinformation in the Arab World: Challenges & Opportunities—0
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