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07/27/2023
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals
Seeing is believing, however, the underlying mechanism of how human visu...
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07/02/2023
Is Risk-Sensitive Reinforcement Learning Properly Resolved?
Due to the nature of risk management in learning applicable policies, ri...
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01/29/2023
Towards Inference Efficient Deep Ensemble Learning
Ensemble methods can deliver surprising performance gains but also bring...
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10/12/2022
Reinforcement Learning with Automated Auxiliary Loss Search
A good state representation is crucial to solving complicated reinforcem...
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09/01/2022
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution
The distribution shifts between training and test data typically undermi...
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06/17/2022
Bootstrapped Transformer for Offline Reinforcement Learning
Offline reinforcement learning (RL) aims at learning policies from previ...
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03/09/2022
Domain Generalization using Pretrained Models without Fine-tuning
Fine-tuning pretrained models is a common practice in domain generalizat...
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11/16/2021
Towards Generating Real-World Time Series Data
Time series data generation has drawn increasing attention in recent yea...
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10/11/2020
Infrared target tracking based on proximal robust principal component analysis method
Infrared target tracking plays an important role in both civil and milit...
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06/18/2020
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
Interactive recommender system (IRS) has drawn huge attention because of...
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11/10/2019
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
Sequential recommendation task aims to predict user preference over item...
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05/07/2019
Deep Landscape Forecasting for Real-time Bidding Advertising
The emergence of real-time auction in online advertising has drawn huge ...
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05/02/2019
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
User response prediction, which models the user preference w.r.t. the pr...
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11/15/2018
Guiding the One-to-one Mapping in CycleGAN via Optimal Transport
CycleGAN is capable of learning a one-to-one mapping between two data di...
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09/07/2018
Deep Recurrent Survival Analysis
Survival analysis is a hotspot in statistical research for modeling time...
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08/11/2018
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising
In online advertising, the Internet users may be exposed to a sequence o...
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03/01/2018
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising
Real-time bidding (RTB) based display advertising has become one of the ...
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03/06/2017
Activation Maximization Generative Adversarial Nets
Class label information has been empirically proven to be very useful in...
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01/10/2017
Real-Time Bidding by Reinforcement Learning in Display Advertising
The majority of online display ads are served through real-time bidding ...
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10/16/2015
