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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 3501–3550 of 9051 papers

TitleStatusHype
Achieving Distributed MIMO Performance with Repeater-Assisted Cellular Massive MIMO—0
ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection for ABSACode0
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs—0
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models—0
PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimization—0
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization—0
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision—0
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering—0
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions—0
Large Language Models as Partners in Student Essay Evaluation—0
Neutral phylogenetic models and their role in tree-based biodiversity measures—0
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding—0
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark—0
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle—0
Multilingual Diversity Improves Vision-Language Representations—0
Hunting for Polluted White Dwarfs and Other Treasures with Gaia XP Spectra and Unsupervised Machine Learning—0
RAGSys: Item-Cold-Start Recommender as RAG System—0
Benchmarking General-Purpose In-Context Learning—0
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling—0
Enhancing Feature Diversity Boosts Channel-Adaptive Vision TransformersCode0
Aperture Selection for CAP Arrays (CAPAs)—0
Pessimistic Backward Policy for GFlowNetsCode0
Randomized heuristic repair for large-scale multidimensional knapsack problem—0
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search—0
Towards a Probabilistic Fusion Approach for Robust Battery Prognostics—0
Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks—0
MallowsPO: Fine-Tune Your LLM with Preference Dispersions—0
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings—0
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and GeneralizationCode0
DIDI: Diffusion-Guided Diversity for Offline Behavioral GenerationCode0
Naturally Private Recommendations with Determinantal Point Processes—0
Towards Exploratory Quality Diversity Landscape Analysis—0
LookHere: Vision Transformers with Directed Attention Generalize and ExtrapolateCode0
Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning—0
Lessons to learn for better safeguarding of genetic resources during tree pandemics: the case of ash dieback in Europe—0
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic ScenariosCode0
Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis—0
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis—0
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models—0
Multiple Realizability and the Rise of Deep Learning—0
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in TextCode0
Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization—0
Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking—0
A Workbench for Autograding Retrieve/Generate SystemsCode0
Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question AnsweringCode0
CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models—0
Asymptotic theory of in-context learning by linear attentionCode0
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual LearningCode0
Perturbing the Gradient for Alleviating Meta OverfittingCode0
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation—0
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