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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 5751–5800 of 9051 papers

TitleStatusHype
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces—0
THOR: Text to Human-Object Interaction Diffusion via Relation Intervention—0
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs—0
Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach—0
Through the Prism of Culture: Evaluating LLMs' Understanding of Indian Subcultures and Traditions—0
Tighter Performance Theory of FedExProx—0
TIGTEC : Token Importance Guided TExt Counterfactuals—0
TII-SSRC-23 Dataset: Typological Exploration of Diverse Traffic Patterns for Intrusion Detection—0
Time-Modulated Intelligent Reflecting Surface for Waveform Security—0
TimePillars: Temporally-Recurrent 3D LiDAR Object Detection—0
Time Series Forecasting With Deep Learning: A Survey—0
Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram—0
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots—0
Tit for Tattling: Cooperation, communication, and how each could stabilize the other—0
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation—0
Tkol, Httt, and r/radiohead: High Affinity Terms in Reddit Communities—0
To Bin or not to Bin: Alternative Representations of Mass Spectra—0
Toddler-Inspired Visual Object Learning—0
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation—0
ToDRE: Visual Token Pruning via Diversity and Task Awareness for Efficient Large Vision-Language Models—0
Token-Importance Guided Direct Preference Optimization—0
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation—0
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis—0
Don't Change Me! User-Controllable Selective Paraphrase Generation—0
Top-Down Bayesian Posterior Sampling for Sum-Product Networks—0
Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar—0
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection—0
Topic-focused Dynamic Information Filtering in Social Media—0
Topic Modeling as Multi-Objective Contrastive Optimization—0
Topic Modeling in Marathi—0
Topic-to-essay generation with knowledge-based content selection—0
Top-N recommendations in the presence of sparsity: An NCD-based approach—0
Top-nσ: Not All Logits Are You Need—0
Topological conditions drive stability in meta-ecosystems—0
Topological Data Analysis of Spatial Patterning in Heterogeneous Cell Populations: Clustering and Sorting with Varying Cell-Cell Adhesion—0
Topologically Robust 3D Shape Matching via Gradual Deflation and Inflation—0
Topology-Aware Latent Diffusion for 3D Shape Generation—0
Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift—0
Total consensus under high reproductive-variance conditions—0
Total-Duration-Aware Duration Modeling for Text-to-Speech Systems—0
To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts—0
Touring sampling with pushforward maps—0
Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes—0
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks—0
Toward a Robust Diversity-Based Model to Detect Changes of Context—0
Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity—0
The effects of ecological selection on species diversity and trait distribution: predictions and an empirical test—0
Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy—0
Toward Diverse Precondition Generation—0
Toward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies—0
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