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08/23/2023
SG-Former: Self-guided Transformer with Evolving Token Reallocation
Vision Transformer has demonstrated impressive success across various vi...
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06/14/2023
Distribution Shift Inversion for Out-of-Distribution Prediction
Machine learning society has witnessed the emergence of a myriad of Out-...
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04/24/2023
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
Transformer-based models achieve favorable performance in artistic style...
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04/19/2023
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate
Style transfer aims to render the style of a given image for style refer...
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03/19/2023
Partial Network Cloning
In this paper, we study a novel task that enables partial knowledge tran...
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01/17/2023
Dataset Distillation: A Comprehensive Review
Recent success of deep learning can be largely attributed to the huge am...
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10/30/2022
Dataset Distillation via Factorization
In this paper, we study \xw{dataset distillation (DD)}, from a novel per...
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07/17/2022
Learning with Recoverable Forgetting
Life-long learning aims at learning a sequence of tasks without forgetti...
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07/13/2022
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
One key challenge of exemplar-guided image generation lies in establishi...
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08/09/2021
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
Neural painting refers to the procedure of producing a series of strokes...
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08/08/2021
