research
∙
07/23/2023
ES2Net: An Efficient Spectral-Spatial Network for Hyperspectral Image Change Detection
Hyperspectral image change detection (HSI-CD) aims to identify the diffe...
share
research
∙
07/14/2023
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems
Testing Autonomous Driving Systems (ADSs) is a critical task for ensurin...
research
∙
05/26/2023
ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression
Noise suppression (NS) models have been widely applied to enhance speech...
research
∙
05/18/2023
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation
Incremental few-shot semantic segmentation (IFSS) aims to incrementally ...
research
∙
04/21/2023
Solid angle measure of polyhedral cones
This paper addresses the computation of normalized solid angle measure o...
research
∙
04/20/2023
High-Fidelity and Freely Controllable Talking Head Video Generation
Talking head generation is to generate video based on a given source ide...
research
∙
03/08/2023
RAF: Holistic Compilation for Deep Learning Model Training
As deep learning is pervasive in modern applications, many deep learning...
research
∙
02/25/2023
Medical visual question answering using joint self-supervised learning
Visual Question Answering (VQA) becomes one of the most active research ...
research
∙
10/15/2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning
In this paper, we study the episodic reinforcement learning (RL) probl...
research
∙
09/30/2022
Assortment Optimization Under the Multivariate MNL Model
We study an assortment optimization problem under a multi-purchase choic...
research
∙
09/27/2022
Bayesian-Nash-Incentive-Compatible Mechanism for Blockchain Transaction Fee Allocation
In blockchain systems, the design of transaction fee mechanisms is essen...
research
∙
08/03/2022
AACC: Asymmetric Actor-Critic in Contextual Reinforcement Learning
Reinforcement Learning (RL) techniques have drawn great attention in man...
research
∙
07/22/2022
Fairness-aware Network Revenue Management with Demand Learning
In addition to maximizing the total revenue, decision-makers in lots of ...
research
∙
07/13/2022
Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms
A major challenge for ridesharing platforms is to guarantee profit and f...
research
∙
05/04/2022
Dual Branch Neural Network for Sea Fog Detection in Geostationary Ocean Color Imager
Sea fog significantly threatens the safety of maritime activities. This ...
research
∙
04/25/2022
Imitation Learning from Observations under Transition Model Disparity
Learning to perform tasks by leveraging a dataset of expert observations...
research
∙
03/02/2022
Clean-Annotation Backdoor Attack against Lane Detection Systems in the Wild
We present the first backdoor attack against the lane detection systems ...
research
∙
12/27/2021
Self-normalized Classification of Parkinson's Disease DaTscan Images
Classifying SPECT images requires a preprocessing step which normalizes ...
research
∙
11/26/2021
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
Many practical applications of reinforcement learning require agents to ...
research
∙
11/16/2021
Fairness-aware Online Price Discrimination with Nonparametric Demand Models
Price discrimination, which refers to the strategy of setting different ...
research
∙
11/13/2021
Full-attention based Neural Architecture Search using Context Auto-regression
Self-attention architectures have emerged as a recent advancement for im...
research
∙
10/15/2021
Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits
We study the optimal batch-regret tradeoff for batch linear contextual b...
research
∙
08/13/2021
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
Automated segmentation in medical image analysis is a challenging task t...
research
∙
07/12/2021
Few-shot Learning with Global Relatedness Decoupled-Distillation
Despite the success that metric learning based approaches have achieved ...
research
∙
07/11/2021
Coordinate-wise Control Variates for Deep Policy Gradients
The control variates (CV) method is widely used in policy gradient estim...
research
∙
06/22/2021
Off-Policy Reinforcement Learning with Delayed Rewards
We study deep reinforcement learning (RL) algorithms with delayed reward...
research
∙
05/05/2021
MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation
In this paper, we propose a new challenging task named as partial multi-...
research
∙
01/13/2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
With the successful adoption of machine learning on electronic health re...
research
∙
11/05/2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
Quality-Diversity (QD) is a concept from Neuroevolution with some intrig...
research
∙
10/23/2020
Learning Guidance Rewards with Trajectory-space Smoothing
Long-term temporal credit assignment is an important challenge in deep r...
research
∙
10/15/2020
Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection
Optical aerial images change detection is an important task in earth obs...
research
∙
10/10/2020
SYMPAIS: SYMbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis
Probabilistic software analysis aims at quantifying the probability of a...
research
∙
10/01/2020
Bayesian Policy Search for Stochastic Domains
AI planning can be cast as inference in probabilistic models, and probab...
research
∙
10/01/2020
Probabilistic Programs with Stochastic Conditioning
We tackle the problem of conditioning probabilistic programs on distribu...
research
∙
09/26/2020
Near-Optimal MNL Bandits Under Risk Criteria
We study MNL bandits, which is a variant of the traditional multi-armed ...
research
∙
09/13/2020
Efficient Competitive Self-Play Policy Optimization
Reinforcement learning from self-play has recently reported many success...
research
∙
08/19/2020
Generating Adjacency Matrix for Video-Query based Video Moment Retrieval
In this paper, we continue our work on Video-Query based Video Moment re...
research
∙
07/29/2020
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis
Understanding how certain brain regions relate to a specific neurologica...
research
∙
07/20/2020
Graph Neural Network for Video-Query based Video Moment Retrieval
In this paper, we focus on Video Query based Video Moment Retrieval (VQ-...
research
∙
07/09/2020
Multinomial Logit Bandit with Low Switching Cost
We study multinomial logit bandit with limited adaptivity, where the alg...
research
∙
07/04/2020
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design
Motivated by practical needs such as large-scale learning, we study the ...
research
∙
06/06/2020
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
In this paper we consider the problem of learning an ϵ-optimal policy fo...
research
∙
05/22/2020
Bi-direction Context Propagation Network for Real-time Semantic Segmentation
Spatial details and context correlations are two types of critical infor...
research
∙
05/13/2020
Adaptive Double-Exploration Tradeoff for Outlier Detection
We study a variant of the thresholding bandit problem (TBP) in the conte...
research
∙
04/27/2020
Multi-IF : An Approach to Anomaly Detection in Self-Driving Systems
Autonomous driving vehicles (ADVs) are implemented with rich software fu...
research
∙
04/21/2020
Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition
We study the reinforcement learning problem in the setting of finite-hor...
research
∙
04/20/2020
Collaborative Top Distribution Identifications with Limited Interaction
We consider the following problem in this paper: given a set of n distri...
research
∙
03/22/2020
Guardauto: A Decentralized Runtime Protection System for Autonomous Driving
Due to the broad attack surface and the lack of runtime protection, pote...
research
∙
03/02/2020
Stochastically Differentiable Probabilistic Programs
Probabilistic programs with mixed support (both continuous and discrete ...
research
∙
03/01/2020
