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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2951–3000 of 9051 papers

TitleStatusHype
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender SystemsCode1
Learning to detect cloud and snow in remote sensing images from noisy labels—0
Generalized Face Liveness Detection via De-fake Face Generator—0
Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation—0
Evolutionary Multi-Objective Diversity Optimization—0
Integrate Any Omics: Towards genome-wide data integration for patient stratificationCode2
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense ReasoningCode0
Large Language Models Can Learn Temporal ReasoningCode2
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentationCode0
INTERS: Unlocking the Power of Large Language Models in Search with Instruction TuningCode3
Microphone Conversion: Mitigating Device Variability in Sound Event ClassificationCode0
XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese—0
Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain—0
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models—0
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human ProgrammersCode1
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems—0
R-BI: Regularized Batched Inputs enhance Incremental Decoding Framework for Low-Latency Simultaneous Speech Translation—0
Diversity-aware clustering: Computational Complexity and Approximation Algorithms—0
Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks—0
Generating Diverse and High-Quality Texts by Minimum Bayes Risk DecodingCode0
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN—0
Proof of Efficient Liquidity: A Staking Mechanism for Capital Efficient Liquidity—0
HyperGANStrument: Instrument Sound Synthesis and Editing with Pitch-Invariant Hypernetworks—0
EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models—0
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity—0
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning—0
We Need to Talk About Classification Evaluation Metrics in NLP—0
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs—0
Improved motif-scaffolding with SE(3) flow matchingCode3
A multimodal gesture recognition dataset for desktop human-computer interaction—0
Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting—0
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes—0
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement LearningCode0
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond—0
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)—0
From Audio to Photoreal Embodiment: Synthesizing Humans in ConversationsCode7
Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation—0
Applications of machine learning and IoT for Outdoor Air Pollution Monitoring and Prediction: A Systematic Literature Review—0
Few-shot Image Generation via Information Transfer from the Built Geodesic Surface—0
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation—0
GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction—0
Cheetah: Natural Language Generation for 517 African LanguagesCode0
Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation—0
Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective—0
HomoFormer: Homogenized Transformer for Image Shadow RemovalCode1
Class Incremental Learning with Multi-Teacher DistillationCode0
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning—0
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster MemoryCode1
Ensemble Diversity Facilitates Adversarial TransferabilityCode1
Motion Diversification Networks—0
Show:102550
← PrevPage 60 of 182Next →

No leaderboard results yet.