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09/06/2023
Automated Bioinformatics Analysis via AutoBA
With the fast-growing and evolving omics data, the demand for streamline...
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08/07/2023
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents
With recent advancements in natural language processing, Large Language ...
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05/13/2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems
Asynchronous action coordination presents a pervasive challenge in Multi...
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04/28/2023
From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL
Centralized training with decentralized execution (CTDE) is a widely-use...
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04/25/2023
SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning
Spatial information is essential in various fields. How to explicitly mo...
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04/20/2023
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning
In multi-agent reinforcement learning (MARL), self-interested agents att...
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03/23/2023
Physics Symbolic Learner for Discovering Ground-Motion Models Via NGA-West2 Database
Ground-motion model (GMM) is the basis of many earthquake engineering st...
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02/21/2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
Weather forecasting is one of the cornerstones of meteorological work. I...
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02/20/2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare
Revoking personal private data is one of the basic human rights, which h...
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02/04/2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning
Value decomposition methods have gradually become popular in the coopera...
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10/30/2022
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process
Kernels on discrete structures evaluate pairwise similarities between ob...
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10/17/2022
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning
Centralized Training with Decentralized Execution (CTDE) has been a very...
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09/19/2022
Derivative Descendants and Ascendants of Binary Cyclic Codes, and Derivative Decoding
This paper defines derivative descendants and ascendants of extended cyc...
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08/31/2022
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition
Vision Transformer and its variants have demonstrated great potential in...
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06/06/2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Almost all multi-agent reinforcement learning algorithms without communi...
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05/22/2022
Contrastive Learning of Coarse-Grained Force Fields
Coarse-grained models have proven helpful for simulating complex systems...
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04/20/2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Recently, model-based agents have achieved better performance than model...
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03/07/2022
Efficient Cooperation Strategy Generation in Multi-Agent Video Games via Hypergraph Neural Network
The performance of deep reinforcement learning (DRL) in single-agent vid...
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01/24/2022
Neural Architecture Searching for Facial Attributes-based Depression Recognition
Recent studies show that depression can be partially reflected from huma...
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12/20/2021
a novel attention-based network for fast salient object detection
In the current salient object detection network, the most popular method...
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12/09/2021
Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning
Cooperation between agents in a multi-agent system (MAS) has become a ho...
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10/22/2021
Action Planning for Packing Long Linear Elastic Objects into Compact Boxes with Bimanual Robotic Manipulation
Automatic packing of objects is a critical component for efficient shipp...
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10/14/2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Multi-agent reinforcement learning often suffers from the exponentially ...
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10/13/2021
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems
Zero/few-shot transfer to unseen services is a critical challenge in tas...
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09/26/2021
A Simple Self-calibration Method for The Internal Time Synchronization of MEMS LiDAR
This paper proposes a simple self-calibration method for the internal ti...
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08/11/2021
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning
Medical imaging technologies, including computed tomography (CT) or ches...
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05/25/2021
Pruned Collapsed Projection-Aggregation Decoding of Reed-Muller Codes
The paper proposes to decode Reed-Muller (RM) codes by projecting onto o...
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05/13/2021
SIDE: I Infer the State I Want to Learn
As one of the solutions to the Dec-POMDP problem, the value decompositio...
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04/08/2021
Learning to Coordinate via Multiple Graph Neural Networks
The collaboration between agents has gradually become an important topic...
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03/19/2021
Learning the Superpixel in a Non-iterative and Lifelong Manner
Superpixel is generated by automatically clustering pixels in an image i...
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03/01/2021
Self-supervised Low Light Image Enhancement and Denoising
This paper proposes a self-supervised low light image enhancement method...
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01/12/2021
Dimensions of Commonsense Knowledge
Commonsense knowledge is essential for many AI applications, including t...
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12/21/2020
CSKG: The CommonSense Knowledge Graph
Sources of commonsense knowledge aim to support applications in natural ...
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10/13/2020
Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection
Drowsiness driving is a major cause of traffic accidents and thus numero...
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09/30/2020
Towards Adaptive Semantic Segmentation by Progressive Feature Refinement
As one of the fundamental tasks in computer vision, semantic segmentatio...
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09/24/2020
Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy
The success of machine learning algorithms often relies on a large amoun...
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09/16/2020
The 1st Tiny Object Detection Challenge:Methods and Results
The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
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09/05/2020
A Conservative High-Order Method Utilizing Dynamic Transfinite Mortar Elements for Flow Simulation on Curved Sliding Meshes
We present a high-order method for flow simulation on unstructured curve...
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08/26/2020
Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement Networks
Low light images suffer from severe noise, low brightness, low contrast,...
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07/02/2020
ACFD: Asymmetric Cartoon Face Detector
Cartoon face detection is a more challenging task than human face detect...
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05/01/2020
Computing Absolute Free Energy with Deep Generative Models
Fast and accurate evaluation of free energy has broad applications from ...
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03/28/2020
A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective
We consider the problem of intelligent and efficient resource management...
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03/26/2020
OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks
In recent years, a large number of smart devices will be connected in In...
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03/25/2020
ASFD: Automatic and Scalable Face Detector
In this paper, we propose a novel Automatic and Scalable Face Detector (...
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02/26/2020
Self-supervised Image Enhancement Network: Training with Low Light Images Only
This paper proposes a self-supervised low light image enhancement method...
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11/16/2019
Maintaining Discrimination and Fairness in Class Incremental Learning
Deep neural networks (DNNs) have been applied in class incremental learn...
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10/18/2019
Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images
Deep learning based image denoising methods have been extensively invest...
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09/24/2019
Information collection for fraud detection in P2P financial market
Fintech companies have been facing challenges from fraudulent behavior f...
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04/13/2019
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers
Principal Component Analysis (PCA) is a popular tool for dimensionality ...
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07/06/2018