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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 1651–1700 of 9051 papers

TitleStatusHype
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
A Multi-Agent Probabilistic Inference Framework Inspired by Kairanban-Style CoT System with IdoBata Conversation for Debiasing—0
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)—0
Neutral theory of cooperators—0
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?—0
SPARKE: Scalable Prompt-Aware Diversity Guidance in Diffusion Models via RKE Score—0
GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments—0
Intent Factored Generation: Unleashing the Diversity in Your Language ModelCode0
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction—0
The Cell Ontology in the age of single-cell omicsCode0
An Explainable Deep Learning Framework for Brain Stroke and Tumor Progression via MRI Interpretation—0
Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field SamplingCode0
Diffusion Models for Safety Validation of Autonomous Driving Systems—0
Exploration by Random Reward Perturbation—0
OpenDance: Multimodal Controllable 3D Dance Generation Using Large-scale Internet Data—0
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models—0
ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning—0
Correlated Errors in Large Language Models—0
MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert SpecializationCode0
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark—0
A weighted quantum ensemble of homogeneous quantum classifiers—0
CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction—0
Slow and Fast Neurons Cooperate in Contextual Working Memory through Timescale Diversity—0
Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models—0
SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms—0
Antithetic Noise in Diffusion Models—0
The Lock-in Hypothesis: Stagnation by Algorithm—0
Noise Consistency Regularization for Improved Subject-Driven Image Synthesis—0
BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly—0
Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning—0
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models—0
Line of Sight: On Linear Representations in VLLMs—0
Combating Misinformation in the Arab World: Challenges & Opportunities—0
Light and 3D: a methodological exploration of digitisation techniques adapted to a selection of objects from the Musée d'Archéologie Nationale—0
Kernel k-Medoids as General Vector Quantization—0
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation—0
Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?—0
SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat—0
When can in-context learning generalize out of task distribution?—0
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization—0
Counterfactual reasoning: an analysis of in-context emergenceCode0
Subjective Perspectives within Learned Representations Predict High-Impact Innovation—0
Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data—0
The Determinants of Net Interest Margin in the Turkish Banking Sector: Does Bank Ownership Matter?—0
Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning—0
Generalized Lotka-Volterra systems with quenched random interactions and saturating functional response—0
Effects of Speaker Count, Duration, and Accent Diversity on Zero-Shot Accent Robustness in Low-Resource ASR—0
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions—0
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