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08/31/2023
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
Accurate traffic forecasting at intersections governed by intelligent tr...
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06/26/2023
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation
Vehicle Energy Consumption (VEC) estimation aims to predict the total en...
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06/25/2023
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training
Machine learning-based forecasting models are commonly used in Intellige...
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06/19/2023
SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation
Accurate segmentation of colonoscopic polyps is considered a fundamental...
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05/26/2023
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
In many real-world tasks, the concerned objects can be represented as a ...
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05/10/2023
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning
Label noise widely exists in large-scale datasets and significantly dege...
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03/27/2023
Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection
Weakly Supervised Object Detection (WSOD) enables the training of object...
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12/18/2022
Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision
Weakly supervised machine learning algorithms are able to learn from amb...
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02/25/2022
Towards Learning Causal Representations from Multi-Instance Bags
Although humans can easily identify the object of interest from groups o...
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12/14/2021
Scaling Up Query-Focused Summarization to Meet Open-Domain Question Answering
Query-focused summarization (QFS) requires generating a textual summary ...
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07/12/2021
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal
Real estate appraisal refers to the process of developing an unbiased op...
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05/04/2021
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder
Multi-instance learning is a type of weakly supervised learning. It deal...
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02/15/2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Electric Vehicle (EV) has become a preferable choice in the modern trans...
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07/14/2020
A unified survey on treatment effect heterogeneity modeling and uplift modeling
A central question in many fields of scientific research is to determine...
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03/25/2020
A general framework for causal classification
In many applications, there is a need to predict the effect of an interv...
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01/29/2020
Treatment effect estimation with disentangled latent factors
A pressing concern faced by cancer patients is their prognosis under dif...
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11/24/2019
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
The ability to predict city-wide parking availability is crucial for the...
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08/29/2019
A Deep Neural Information Fusion Architecture for Textual Network Embeddings
Textual network embeddings aim to learn a low-dimensional representation...
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02/13/2019
Distributionally Robust Multi-instance Learning with Stable Instances
Multi-instance learning (MIL) deals with tasks where data consist of set...
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02/13/2019