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07/26/2023
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength
Graph Neural Networks have emerged as an effective machine learning tool...
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06/28/2023
AFPN: Asymptotic Feature Pyramid Network for Object Detection
Multi-scale features are of great importance in encoding objects with sc...
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06/15/2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Human mobility patterns have shown significant applications in policy-de...
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05/31/2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
Graph Neural Networks (GNNs) have emerged as a powerful category of lear...
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05/26/2023
Improving Knowledge Distillation via Regularizing Feature Norm and Direction
Knowledge distillation (KD) exploits a large well-trained model (i.e., t...
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04/15/2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation
Temporal graphs exhibit dynamic interactions between nodes over continuo...
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04/15/2023
Transition Propagation Graph Neural Networks for Temporal Networks
Researchers of temporal networks (e.g., social networks and transaction ...
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04/11/2023
Life Regression based Patch Slimming for Vision Transformers
Vision transformers have achieved remarkable success in computer vision ...
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04/10/2023
ViT-Calibrator: Decision Stream Calibration for Vision Transformer
A surge of interest has emerged in utilizing Transformers in diverse vis...
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04/09/2023
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning
The problem of deep long-tailed learning, a prevalent challenge in the r...
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02/17/2023
Model Doctor for Diagnosing and Treating Segmentation Error
Despite the remarkable progress in semantic segmentation tasks with the ...
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02/14/2023
Team DETR: Guide Queries as a Professional Team in Detection Transformers
Recent proposed DETR variants have made tremendous progress in various s...
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01/14/2023
Recent advances in artificial intelligence for retrosynthesis
Retrosynthesis is the cornerstone of organic chemistry, providing chemis...
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11/30/2022
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
Pseudo supervision is regarded as the core idea in semi-supervised learn...
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11/29/2022
Transferability Estimation Based On Principal Gradient Expectation
Deep transfer learning has been widely used for knowledge transmission i...
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11/23/2022
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Value Decomposition (VD) aims to deduce the contributions of agents for ...
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07/27/2022
Federated Selective Aggregation for Knowledge Amalgamation
In this paper, we explore a new knowledge-amalgamation problem, termed F...
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07/27/2022
Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing for Facial Expression Recognition
Facial expression is an essential factor in conveying human emotional st...
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07/08/2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Deep cooperative multi-agent reinforcement learning has demonstrated its...
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07/05/2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
Despite the promising results achieved, state-of-the-art interactive rei...
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05/12/2022
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System
The real-time transient stability assessment (TSA) plays a critical role...
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05/07/2022
Comparison Knowledge Translation for Generalizable Image Classification
Deep learning has recently achieved remarkable performance in image clas...
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03/25/2022
CNN LEGO: Disassembling and Assembling Convolutional Neural Network
Convolutional Neural Network (CNN), which mimics human visual perception...
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03/22/2022
Root-aligned SMILES for Molecular Retrosynthesis Prediction
Retrosynthesis prediction is a fundamental problem in organic synthesis,...
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03/07/2022
Knowledge Amalgamation for Object Detection with Transformers
Knowledge amalgamation (KA) is a novel deep model reusing task aiming to...
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12/16/2021
Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN
Although deep learning has achieved impressive advances in transient sta...
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12/09/2021
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
Recently, Convolutional Neural Network (CNN) has achieved excellent perf...
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11/23/2021
Learning Dynamic Preference Structure Embedding From Temporal Networks
The dynamics of temporal networks lie in the continuous interactions bet...
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09/29/2021
Distribution Knowledge Embedding for Graph Pooling
Graph-level representation learning is the pivotal step for downstream t...
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08/01/2021
Boundary Knowledge Translation based Reference Semantic Segmentation
Given a reference object of an unknown type in an image, human observers...
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08/01/2021
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
The microvascular invasion (MVI) is a major prognostic factor in hepatoc...
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08/01/2021
Visual Boundary Knowledge Translation for Foreground Segmentation
When confronted with objects of unknown types in an image, humans can ef...
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07/28/2021
Shape Controllable Virtual Try-on for Underwear Models
Image virtual try-on task has abundant applications and has become a hot...
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10/17/2020
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
Active learning aims to address the paucity of labeled data by finding t...
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10/12/2020
Factorizable Graph Convolutional Networks
Graphs have been widely adopted to denote structural connections between...
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04/13/2020
Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization
The automatic intensity estimation of facial action units (AUs) from a s...
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04/03/2020
Disassembling Object Representations without Labels
In this paper, we study a new representation-learning task, which we ter...
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06/13/2018
Interpretable Partitioned Emebedding for Customized Fashion Outfit Composition
Intelligent fashion outfit composition becomes more and more popular in ...
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06/13/2018
Interpretable Partitioned Embedding for Customized Fashion Outfit Composition
Intelligent fashion outfit composition becomes more and more popular in ...
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05/27/2018
Dual Swap Disentangling
Learning interpretable disentangled representations is a crucial yet cha...
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02/20/2018
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields
Recently, in the community of Neural Style Transfer, several algorithms ...
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05/11/2017