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08/20/2023
Adversarial Collaborative Filtering for Free
Collaborative Filtering (CF) has been successfully used to help users di...
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08/01/2023
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization
Evolutionary reinforcement learning (ERL) algorithms recently raise atte...
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07/18/2023
Sharpness-Aware Graph Collaborative Filtering
Graph Neural Networks (GNNs) have achieved impressive performance in col...
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06/27/2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
In recent years, data-driven reinforcement learning (RL), also known as ...
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06/12/2023
Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration
Offline reinforcement learning (RL) is a learning paradigm where an agen...
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06/10/2023
HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach
Offline reinforcement learning (ORL) has gained attention as a means of ...
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06/09/2023
In-Sample Policy Iteration for Offline Reinforcement Learning
Offline reinforcement learning (RL) seeks to derive an effective control...
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01/27/2023
Neural Episodic Control with State Abstraction
Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample...
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12/08/2022
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems
There has been an explosion of interest in designing various Knowledge G...
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12/08/2022
Denoising Self-attentive Sequential Recommendation
Transformer-based sequential recommenders are very powerful for capturin...
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10/26/2022
ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
Deep Reinforcement Learning (Deep RL) and Evolutionary Algorithm (EA) ar...
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10/06/2022
Neural Volumetric Mesh Generator
Deep generative models have shown success in generating 3D shapes with d...
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10/02/2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Unsupervised reinforcement learning (URL) poses a promising paradigm to ...
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09/16/2022
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes
Lying on the heart of intelligent decision-making systems, how policy is...
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08/15/2022
Energy Savings When Migrating Workloads to the Cloud
In the cloud environment, data centers are efficiently manipulated by cl...
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06/06/2022
HIFI-Net: A Novel Network for Enhancement to Underwater Images
A novel network for enhancement to underwater images is proposed in this...
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05/05/2022
Relational Representation Learning in Visually-Rich Documents
Relational understanding is critical for a number of visually-rich docum...
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04/06/2022
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations
Deep Reinforcement Learning (DRL) has been a promising solution to many ...
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03/17/2022
Revealing Reliable Signatures by Learning Top-Rank Pairs
Signature verification, as a crucial practical documentation analysis ta...
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03/16/2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
Learning to collaborate is critical in Multi-Agent Reinforcement Learnin...
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12/24/2021
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series
The matrix profile is an effective data mining tool that provides simila...
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12/06/2021
ED2: An Environment Dynamics Decomposition Framework for World Model Construction
Model-based reinforcement learning methods achieve significant sample ef...
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11/19/2021
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning
Value estimation is one key problem in Reinforcement Learning. Albeit ma...
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09/21/2021
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks
Predicting metrics associated with entities' transnational behavior with...
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09/12/2021
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
Discrete-continuous hybrid action space is a natural setting in many pra...
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05/24/2021
Towards Book Cover Design via Layout Graphs
Book covers are intentionally designed and provide an introduction to a ...
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04/06/2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
Word vector embeddings have been shown to contain and amplify biases in ...
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11/05/2020
Merchant Category Identification Using Credit Card Transactions
Digital payment volume has proliferated in recent years with the rapid g...
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05/14/2020
Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management
With the increasing popularity of electric vehicles, distributed energy ...
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05/14/2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
Adversarial attacks against conventional Deep Learning (DL) systems and ...
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02/18/2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
Reinforcement learning agents usually learn from scratch, which requires...
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10/20/2019
Diverse Behavior Is What Game AI Needs: Generating Varied Human-Like Playing Styles Using Evolutionary Multi-Objective Deep Reinforcement Learning
Designing artificial intelligence for games (Game AI) has been long reco...
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10/13/2019
Feature Detection and Attenuation in Embeddings
Embedding is one of the fundamental building blocks for data analysis ta...
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08/09/2019
Gradient Boosting Survival Tree with Applications in Credit Scoring
Credit scoring (Thomas et al., 2002) plays a vital role in the field of ...
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11/28/2018
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data
Detecting semantic parts of an object is a challenging task in computer ...
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09/25/2018
Hierarchical Deep Multiagent Reinforcement Learning
Despite deep reinforcement learning has recently achieved great successe...
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09/12/2018
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents
Multiagent algorithms often aim to accurately predict the behaviors of o...
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02/23/2018
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments
Despite single agent deep reinforcement learning has achieved significan...
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01/27/2018
Interactive Deep Colorization With Simultaneous Global and Local Inputs
Colorization methods using deep neural networks have become a recent tre...
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01/03/2018
Joint convolutional neural pyramid for depth map super-resolution
High-resolution depth map can be inferred from a low-resolution one with...
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09/13/2017
