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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 3926–3950 of 9051 papers

TitleStatusHype
Spontaneous Symmetry Breaking in Generative Diffusion ModelsCode1
Adaptive Coordination in Social Embodied Rearrangement—0
Accurate and Efficient Structural Ensemble Generation of Macrocyclic Peptides using Internal Coordinate DiffusionCode1
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection—0
Runtime Analysis of Quality Diversity Algorithms—0
Sparse species interactions reproduce abundance correlation patterns in microbial communities—0
Compositional diversity in visual concept learning—0
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty QuantificationCode0
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar GenerationCode2
Generating Behaviorally Diverse Policies with Latent Diffusion Models—0
DiffSketching: Sketch Control Image Synthesis with Diffusion ModelsCode1
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender—0
Forgotten Knowledge: Examining the Citational Amnesia in NLP—0
Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation—0
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching—0
NashFormer: Leveraging Local Nash Equilibria for Semantically Diverse Trajectory Prediction—0
Whitening-based Contrastive Learning of Sentence EmbeddingsCode1
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning—0
The use of Ethnomedicinal plants in Indigenous Health Care Practice of the Hajong Tribe community in Durgapur, Bangladesh—0
Rethinking Masked Language Modeling for Chinese Spelling CorrectionCode1
Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTSCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
Exploiting Abstract Meaning Representation for Open-Domain Question AnsweringCode1
Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results—0
Benchmarking state-of-the-art gradient boosting algorithms for classification—0
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