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08/31/2023
TouchStone: Evaluating Vision-Language Models by Language Models
Large vision-language models (LVLMs) have recently witnessed rapid advan...
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07/20/2023
Flatness-Aware Minimization for Domain Generalization
Domain generalization (DG) seeks to learn robust models that generalize ...
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05/30/2023
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
Competitions for shareable and limited resources have long been studied ...
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05/25/2023
Meta Adaptive Task Sampling for Few-Domain Generalization
To ensure the out-of-distribution (OOD) generalization performance, trad...
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05/24/2023
Rethinking the Evaluation Protocol of Domain Generalization
Domain generalization aims to solve the challenge of Out-of-Distribution...
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05/21/2023
Exploring and Exploiting Data Heterogeneity in Recommendation
Massive amounts of data are the foundation of data-driven recommendation...
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03/03/2023
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
Recently, flat minima are proven to be effective for improving generaliz...
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12/02/2022
Stable Learning via Sparse Variable Independence
The problem of covariate-shift generalization has attracted intensive re...
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10/15/2022
Product Ranking for Revenue Maximization with Multiple Purchases
Product ranking is the core problem for revenue-maximizing online retail...
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04/17/2022
NICO++: Towards Better Benchmarking for Domain Generalization
Despite the remarkable performance that modern deep neural networks have...
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03/27/2022
Towards Domain Generalization in Object Detection
Despite the striking performance achieved by modern detectors when train...
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02/09/2022
Regulatory Instruments for Fair Personalized Pricing
Personalized pricing is a business strategy to charge different prices t...
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08/31/2021
Towards Out-Of-Distribution Generalization: A Survey
Classic machine learning methods are built on the i.i.d. assumption that...
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07/13/2021
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization
Domain generalization (DG) aims to help models trained on a set of sourc...
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04/16/2021
Deep Stable Learning for Out-Of-Distribution Generalization
Approaches based on deep neural networks have achieved striking performa...
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12/02/2020