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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 2501–2550 of 9051 papers

TitleStatusHype
Understanding the Role of Temperature in Diverse Question Generation by GPT-4—0
Coreset Selection for Object Detection—0
From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language RepresentationCode0
Fault Detection in Mobile Networks Using Diffusion Models—0
The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation—0
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness—0
Improved Paraphrase Generation via Controllable Latent DiffusionCode0
MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter ExpertsCode5
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning—0
Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping—0
OmniSat: Self-Supervised Modality Fusion for Earth ObservationCode2
Direct May Not Be the Best: An Incremental Evolution View of Pose GenerationCode0
Analyzing and Overcoming Local Optima in Complex Multi-Objective Optimization by Decomposition-Based Evolutionary Algorithms—0
Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic SegmentationCode0
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning—0
Generalization Gap in Data Augmentation: Insights from Illumination—0
WaveMo: Learning Wavefront Modulations to See Through Scattering—0
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization—0
MSciNLI: A Diverse Benchmark for Scientific Natural Language InferenceCode0
Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context LearningCode0
CAT: Contrastive Adapter Training for Personalized Image GenerationCode0
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics ModelsCode1
Achieving Tight O(4^k) Runtime Bounds on Jump_k by Proving that Genetic Algorithms Evolve Near-Maximal Population Diversity—0
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial NetworksCode0
Hedonic Models Incorporating ESG Factors for Time Series of Average Annual Home Prices—0
DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space—0
Addressing the Abstraction and Reasoning Corpus via Procedural Example GenerationCode3
Exploring Diverse Sounds: Identifying Outliers in a Music Corpus—0
The impact of data set similarity and diversity on transfer learning success in time series forecasting—0
Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning—0
In-Flight Estimation of Instrument Spectral Response Functions Using Sparse Representations—0
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?—0
Multi-head Attention-based Deep Multiple Instance LearningCode1
Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population—0
Dynamic Quality-Diversity SearchCode0
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems—0
Camera-Based Remote Physiology Sensing for Hundreds of Subjects Across Skin TonesCode1
Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble MannerCode0
Robust Few-Shot Ensemble Learning with Focal Diversity-Based PruningCode0
Model Selection with Model Zoo via Graph LearningCode0
RaSim: A Range-aware High-fidelity RGB-D Data Simulation Pipeline for Real-world Applications—0
Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation—0
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning—0
Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity PragmaticsCode0
LCM-Lookahead for Encoder-based Text-to-Image Personalization—0
InsectMamba: Insect Pest Classification with State Space Model—0
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning—0
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language ModelsCode1
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison—0
DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement—0
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