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07/12/2023
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
Generating unlabeled data has been recently shown to help address the fe...
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05/25/2023
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer
In this paper, we propose a novel language-guided 3D arbitrary neural st...
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04/20/2023
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
The rendering scheme in neural radiance field (NeRF) is effective in ren...
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09/07/2022
On the Sparse DAG Structure Learning Based on Adaptive Lasso
Learning the underlying casual structure, represented by Directed Acycli...
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12/07/2021
Federated Causal Discovery
Causal discovery aims to learn a causal graph from observational data. T...
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11/30/2021
CRIS: CLIP-Driven Referring Image Segmentation
Referring image segmentation aims to segment a referent via a natural li...
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02/10/2020
Towards Mixture Proportion Estimation without Irreducibility
Mixture proportion estimation (MPE) is a fundamental problem of practica...
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04/12/2018
Causal Generative Domain Adaptation Networks
We propose a new generative model for domain adaptation, in which traini...
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06/10/2017
