SOTAVerified

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

Showing 39013950 of 9051 papers

TitleStatusHype
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data SilosCode0
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments0
A minimal model of pan-immunity maintenance by horizontal gene transfer in the ecological dynamics of bacteria and phages0
Autoencoder-based General Purpose Representation Learning for Customer Embedding0
TroubleLLM: Align to Red Team Expert0
Priority Sampling of Large Language Models for Compilers0
RORA: Robust Free-Text Rationale EvaluationCode0
Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScoreCode0
Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble0
Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future0
OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction0
Federated Learning for Estimating Heterogeneous Treatment Effects0
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning0
SoFA: Shielded On-the-fly Alignment via Priority Rule FollowingCode0
Image-Text Matching with Multi-View Attention0
RECOST: External Knowledge Guided Data-efficient Instruction Tuning0
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data0
DivAvatar: Diverse 3D Avatar Generation with a Single Prompt0
RISAR: RIS-assisted Human Activity Recognition with Commercial Wi-Fi Devices0
TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics0
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning0
Topic-to-essay generation with knowledge-based content selection0
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts0
DiffuCOMET: Contextual Commonsense Knowledge DiffusionCode0
On Languaging a Simulation Engine0
Finding Near-Optimal Portfolios With Quality-Diversity0
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion ModelingCode0
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities0
Hands-Free VR0
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control0
Fine-Grained Detoxification via Instance-Level Prefixes for Large Language ModelsCode0
CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models0
Ten computational challenges in human virome studies0
Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization0
Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting0
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization0
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness0
Diversity-Aware k-Maximum Inner Product Search Revisited0
Se^2: Sequential Example Selection for In-Context Learning0
WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound DatabaseCode0
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trickCode0
NeRF Solves Undersampled MRI Reconstruction0
Robust Model Predictive Control for nonlinear discrete-time systems using iterative time-varying constraint tightening0
Evolving AI Collectives to Enhance Human Diversity and Enable Self-Regulation0
IRR: Image Review Ranking Framework for Evaluating Vision-Language Models0
Parallel Structures in Pre-training Data Yield In-Context LearningCode0
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach0
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning0
MONAL: Model Autophagy Analysis for Modeling Human-AI Interactions0
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