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08/13/2023
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts
Thanks to the rapid development of diffusion models, unprecedented progr...
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03/07/2022
Open Set Domain Adaptation By Novel Class Discovery
In Open Set Domain Adaptation (OSDA), large amounts of target samples ar...
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12/22/2020
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Human doctors with well-structured medical knowledge can diagnose a dise...
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03/14/2020
Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis
Medical automatic diagnosis (MAD) aims to learn an agent that mimics the...
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09/28/2019
Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning
Resembling the rapid learning capability of human, low-shot learning emp...
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09/25/2019
Graph Neural Reasoning May Fail in Certifying Boolean Unsatisfiability
It is feasible and practically-valuable to bridge the characteristics be...
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09/25/2019
Graph Neural Reasoning May Fail in Proving Boolean Unsatisfiability
It is feasible and practically-valuable to bridge the characteristics be...
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07/08/2019
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
A broad range of cross-m-domain generation researches boil down to match...
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07/08/2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks
(Unsupervised) Domain Adaptation (DA) seeks for classifying target insta...
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05/06/2019
Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity
In this paper, we propose Hard Person Identity Mining (HPIM) that attemp...
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04/27/2019
Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers
In this paper, we investigate the feasibility of learning GNN (Graph Neu...
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12/04/2018
FRAME Revisited: An Interpretation View Based on Particle Evolution
FRAME (Filters, Random fields, And Maximum Entropy) is an energy-based d...
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06/30/2018
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria
Though quite challenging, the training of object detectors using large-s...
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03/02/2018
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
Unsupervised domain adaptation (UDA) conventionally assumes labeled sour...
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07/28/2017