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05/10/2023
XTab: Cross-table Pretraining for Tabular Transformers
The success of self-supervised learning in computer vision and natural l...
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02/16/2023
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
Layout-to-image generation refers to the task of synthesizing photo-real...
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02/02/2023
Multimodal Chain-of-Thought Reasoning in Language Models
Large language models (LLMs) have shown impressive performance on comple...
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10/07/2022
Automatic Chain of Thought Prompting in Large Language Models
Large language models (LLMs) can perform complex reasoning by generating...
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07/12/2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Conventionally, Earth system (e.g., weather and climate) forecasting rel...
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06/16/2022
MixGen: A New Multi-Modal Data Augmentation
Data augmentation is a necessity to enhance data efficiency in deep lear...
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03/22/2022
Task-guided Disentangled Tuning for Pretrained Language Models
Pretrained language models (PLMs) trained on large-scale unlabeled corpu...
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04/19/2020
ResNeSt: Split-Attention Networks
While image classification models have recently continued to advance, mo...
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02/11/2019
Bag of Freebies for Training Object Detection Neural Networks
Comparing with enormous research achievements targeting better image cla...
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09/07/2018
