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09/20/2023
ModelGiF: Gradient Fields for Model Functional Distance
The last decade has witnessed the success of deep learning and the surge...
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08/09/2023
An Integrated Visual Analytics System for Studying Clinical Carotid Artery Plaques
Carotid artery plaques can cause arterial vascular diseases such as stro...
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08/05/2023
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket
Graph Lottery Ticket (GLT), a combination of core subgraph and sparse su...
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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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07/07/2023
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Deep learning has the potential to revolutionize sports performance, wit...
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06/29/2023
MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling
Estimating 3D human poses only from a 2D human pose sequence is thorough...
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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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06/14/2023
Curricular Subgoals for Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) aims to reconstruct the reward func...
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06/13/2023
Lookaround Optimizer: k steps around, 1 step average
Weight Average (WA) is an active research topic due to its simplicity in...
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06/05/2023
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
Decentralized stochastic gradient descent (D-SGD) allows collaborative l...
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06/03/2023
Message-passing selection: Towards interpretable GNNs for graph classification
In this paper, we strive to develop an interpretable GNNs' inference par...
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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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05/27/2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Centralized Training with Decentralized Execution (CTDE) has recently em...
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05/20/2023
Non-stationary Online Convex Optimization with Arbitrary Delays
Online convex optimization (OCO) with arbitrary delays, in which gradien...
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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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02/15/2023
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
Cross-view multi-object tracking aims to link objects between frames and...
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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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02/11/2023
Improved Dynamic Regret for Online Frank-Wolfe
To deal with non-stationary online problems with complex constraints, we...
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01/30/2023
DepGraph: Towards Any Structural Pruning
Structural pruning enables model acceleration by removing structurally-g...
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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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12/05/2022
SASFormer: Transformers for Sparsely Annotated Semantic Segmentation
Semantic segmentation based on sparse annotation has advanced in recent ...
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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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11/23/2022
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Value Decomposition (VD) aims to deduce the contributions of agents for ...
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11/12/2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
Reinforcement Learning (RL) is a popular machine learning paradigm where...
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10/09/2022
Attention Diversification for Domain Generalization
Convolutional neural networks (CNNs) have demonstrated gratifying result...
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09/07/2022
A Survey of Neural Trees
Neural networks (NNs) and decision trees (DTs) are both popular models o...
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08/22/2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
Prototypical part network (ProtoPNet) has drawn wide attention and boost...
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08/03/2022
Re-Attention Transformer for Weakly Supervised Object Localization
Weakly supervised object localization is a challenging task which aims t...
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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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07/24/2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
Anomaly detection aims at identifying deviant samples from the normal da...
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07/24/2022
Learning Graph Neural Networks for Image Style Transfer
State-of-the-art parametric and non-parametric style transfer approaches...
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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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07/08/2022
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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06/25/2022
Topology-aware Generalization of Decentralized SGD
This paper studies the algorithmic stability and generalizability of dec...
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06/14/2022
Slimmable Domain Adaptation
Vanilla unsupervised domain adaptation methods tend to optimize the mode...
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06/14/2022
Label Matching Semi-Supervised Object Detection
Semi-supervised object detection has made significant progress with the ...
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05/22/2022
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey
Multi-object tracking (MOT) aims to associate target objects across vide...
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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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05/05/2022
Spot-adaptive Knowledge Distillation
Knowledge distillation (KD) has become a well established paradigm for c...
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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
Meta-attention for ViT-backed Continual Learning
Continual learning is a longstanding research topic due to its crucial r...
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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