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🏢 Ant Group

Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
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Natural Language Processing Large Language Models 🏢 Ant Group
PaRO boosts LLM training speed by up to 266% through refined model state partitioning and optimized communication.
On provable privacy vulnerabilities of graph representations
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AI Theory Privacy 🏢 Ant Group
Graph representation learning’s structural vulnerabilities are proven and mitigated via noisy aggregation, revealing crucial privacy-utility trade-offs.
Identify Then Recommend: Towards Unsupervised Group Recommendation
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Machine Learning Self-Supervised Learning 🏢 Ant Group
Unsupervised group recommendation model, ITR, achieves superior user and group recommendation accuracy by dynamically identifying user groups and employing self-supervised learning, eliminating the ne…
End-to-end Learnable Clustering for Intent Learning in Recommendation
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Machine Learning Recommendation Systems 🏢 Ant Group
ELCRec: a novel intent learning model for recommendation, unites behavior representation learning with end-to-end learnable clustering, achieving superior performance and scalability.
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
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AI Generated Machine Learning Deep Learning 🏢 Ant Group
DeepITE: a novel variational graph autoencoder, efficiently estimates intervention targets from both labeled and unlabeled data, surpassing existing methods in recall and inference speed.
Collaborative Refining for Learning from Inaccurate Labels
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Machine Learning Deep Learning 🏢 Ant Group
Collaborative Refining for Learning from Inaccurate Labels (CRL) refines data using annotator agreement, improving model accuracy with noisy labels.
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight
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Multimodal Learning Vision-Language Models 🏢 Ant Group
Chain-of-Sight accelerates multimodal LLM pre-training by ~73% using a multi-scale visual resampling technique and a novel post-pretrain token scaling strategy, achieving comparable or superior perfor…
A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks
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Machine Learning Deep Learning 🏢 Ant Group
LNGD: A Layer-Wise Natural Gradient optimizer drastically cuts deep neural network training time without sacrificing accuracy.