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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 4801–4850 of 9051 papers

TitleStatusHype
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
Joint BS Selection, User Association, and Beamforming Design for Network Integrated Sensing and Communication—0
Joint Event Detection and Entity Resolution: a Virtuous Cycle—0
Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms—0
Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes—0
Jointly Optimizing Diversity and Relevance in Neural Response Generation—0
Jointly Understand Your Command and Intention:Reciprocal Co-Evolution between Scene-Aware 3D Human Motion Synthesis and Analysis—0
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization—0
Joint Passage Ranking for Diverse Multi-Answer Retrieval—0
Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction—0
Towards Automatic Gesture Stroke Detection—0
Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection—0
Zonotope hit-and-run for efficient sampling from projection DPPs—0
JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking—0
Towards Bridging the Digital Language Divide—0
Just Add $100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem—0
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning—0
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation—0
Towards building a Robust Industry-scale Question Answering System—0
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling—0
Beyond Blur: A Fluid Perspective on Generative Diffusion Models—0
KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection—0
Active Learning for Lane Detection: A Knowledge Distillation Approach—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
Towards complete representation of bacterial contents in metagenomic samples—0
KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants—0
KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs—0
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation—0
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System—0
Keeping Less is More: Point Sparsification for Visual SLAM—0
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control—0
Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning—0
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations—0
Kernel-based Generative Learning in Distortion Feature Space—0
Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering—0
Kernel-Elastic Autoencoder for Molecular Design—0
Kernel k-Medoids as General Vector Quantization—0
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction—0
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks—0
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning—0
Towards Comprehensive Preference Data Collection for Reward Modeling—0
KETG: A Knowledge Enhanced Text Generation Framework—0
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study—0
Keyframe-Guided Creative Video Inpainting—0
Keyphrase Generation with Correlation Constraints—0
Better Alignment with Instruction Back-and-Forth Translation—0
Towards Comprehensive Recommender Systems: Time-Aware UnifiedcRecommendations Based on Listwise Ranking of Implicit Cross-Network Data—0
A Novel Fuzzy Search Approach over Encrypted Data with Improved Accuracy and Efficiency—0
Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer—0
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs—0
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