Papers Diversity
“Diversity” 태그가 달린 논문 9,051편 · 필터 해제
Visual Place Recognition for Large-Scale UAV Applications
Visual Place Recognition (vPR) plays a crucial role in Unmanned Aerial Vehicle (UAV) navigation, enabling robust localization across diverse environments. Despite significant advancements, aerial vPR faces unique challen…
BenchmarkingDiversityVisual Place RecognitionAdversarial attacks to image classification systems using evolutionary algorithms
Image classification currently faces significant security challenges due to adversarial attacks, which consist of intentional alterations designed to deceive classification models based on artificial intelligence. This a…
ClassificationDiversityEvolutionary AlgorithmsGenerative Adversarial Network+2Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection
While recent advancements in deep neural networks (DNNs) have substantially enhanced visual AI's capabilities, the challenge of inadequate data diversity and volume remains, particularly in construction domain. This stud…
DiversityImage GenerationGEMMAS: Graph-based Evaluation Metrics for Multi Agent Systems
Multi-agent systems built on language models have shown strong performance on collaborative reasoning tasks. However, existing evaluations focus only on the correctness of the final output, overlooking how inefficient co…
DiversityGSM8KMulti-population GAN Training: Analyzing Co-Evolutionary Algorithms
Generative adversarial networks (GANs) are powerful generative models but remain challenging to train due to pathologies suchas mode collapse and instability. Recent research has explored co-evolutionary approaches, in w…
DiversityEvolutionary AlgorithmsLearning What Matters: Probabilistic Task Selection via Mutual Information for Model Finetuning
The performance of finetuned large language models (LLMs) hinges critically on the composition of the training mixture. However, selecting an optimal blend of task datasets remains a largely manual, heuristic driven proc…
DiversityMMLUStep-wise Policy for Rare-tool Knowledge (SPaRK): Offline RL that Drives Diverse Tool Use in LLMs
We present Step-wise Policy for Rare-tool Knowledge (SPaRK), a novel reinforcement learning framework that teaches large language models to explore diverse tool usage patterns beyond conventional high-temperature samplin…
DiversityMMLUOffline RLreinforcement-learning+1Sparse Regression Codes exploit Multi-User Diversity without CSI
We study sparse regression codes (SPARC) for multiple access channels with multiple receive antennas, in non-coherent flat fading channels. We propose a novel practical decoder, referred to as maximum likelihood matching…
DecoderDiversityregressionMixture of Experts in Large Language Models
This paper presents a comprehensive review of the Mixture-of-Experts (MoE) architecture in large language models, highlighting its ability to significantly enhance model performance while maintaining minimal computationa…
DiversityLanguage ModelingLanguage ModellingLarge Language Model+2Turning the Tide: Repository-based Code Reflection
Code large language models (LLMs) enhance programming by understanding and generating code across languages, offering intelligent feedback, bug detection, and code updates through reflection, improving development effici…
Code GenerationDiversityHumanEvalExploring Design of Multi-Agent LLM Dialogues for Research Ideation
Large language models (LLMs) are increasingly used to support creative tasks such as research idea generation. While recent work has shown that structured dialogues between LLMs can improve the novelty and feasibility of…
DiversityMS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval
Result diversification (RD) is a crucial technique in Text-to-Image Retrieval for enhancing the efficiency of a practical application. Conventional methods focus solely on increasing the diversity metric of image appeara…
DiversityImage RetrievalPoint ProcessesA Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality
Despite the significant progress that has been made in video generative models, existing state-of-the-art methods can only produce videos lasting 5-16 seconds, often labeled "long-form videos". Furthermore, videos exceed…
DiversityVideo GenerationIs Diversity All You Need for Scalable Robotic Manipulation?
Data scaling has driven remarkable success in foundation models for Natural Language Processing (NLP) and Computer Vision (CV), yet the principles of effective data scaling in robotic manipulation remain insufficiently u…
AllDiversityMEDTalk: Multimodal Controlled 3D Facial Animation with Dynamic Emotions by Disentangled Embedding
Audio-driven emotional 3D facial animation aims to generate synchronized lip movements and vivid facial expressions. However, most existing approaches focus on static and predefined emotion labels, limiting their diversi…
DiversityTalking Head GenerationPrompt-Free Conditional Diffusion for Multi-object Image Augmentation
Diffusion models has underpinned much recent advances of dataset augmentation in various computer vision tasks. However, when involving generating multi-object images as real scenarios, most existing methods either rely …
DiversityDomain GeneralizationImage AugmentationAdaptaGen: Domain-Specific Image Generation through Hierarchical Semantic Optimization Framework
Domain-specific image generation aims to produce high-quality visual content for specialized fields while ensuring semantic accuracy and detail fidelity. However, existing methods exhibit two critical limitations: First,…
DiversityImage GenerationPrompt EngineeringLumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation
Conversational recommender systems (CRSs) often suffer from an extreme long-tail distribution of dialogue data, causing a strong bias toward head-frequency blockbusters that sacrifices diversity and exacerbates the cold-…
DiversityFairnessInformativenessMovie Recommendation+1CTR-Guided Generative Query Suggestion in Conversational Search
Generating effective query suggestions in conversational search requires aligning model outputs with user preferences, which is challenging due to sparse and noisy click signals. We propose GQS, a generative framework th…
Conversational SearchDiversityLost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
The steep computational cost of diffusion models at inference hinders their use as fast physics emulators. In the context of image and video generation, this computational drawback has been addressed by generating in the…
DiversityVideo Generation