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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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08/21/2023
Diffusion Model as Representation Learner
Diffusion Probabilistic Models (DPMs) have recently demonstrated impress...
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08/16/2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly
This paper focuses on addressing the practical yet challenging problem o...
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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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04/19/2023
Anything-3D: Towards Single-view Anything Reconstruction in the Wild
3D reconstruction from a single-RGB image in unconstrained real-world sc...
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11/27/2022
Diffusion Probabilistic Model Made Slim
Despite the recent visually-pleasing results achieved, the massive compu...
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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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09/04/2022
Consistent Teacher Provides Better Supervision in Semi-supervised Object Detection
In this study, we dive deep into the unique challenges in semi-supervise...
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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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07/04/2022
Factorizing Knowledge in Neural Networks
In this paper, we explore a novel and ambitious knowledge-transfer task,...
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12/12/2021
Neural Point Process for Learning Spatiotemporal Event Dynamics
Learning the dynamics of spatiotemporal events is a fundamental problem....
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05/25/2021
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation
Medical report generation is one of the most challenging tasks in medica...
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12/22/2020
Stochastic Gradient Variance Reduction by Solving a Filtering Problem
Deep neural networks (DNN) are typically optimized using stochastic grad...
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12/11/2020
DSRNA: Differentiable Search of Robust Neural Architectures
In deep learning applications, the architectures of deep neural networks...
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06/17/2020
XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports
To effectively train medical students to become qualified radiologists, ...
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05/11/2020