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07/20/2023
Ethosight: A Reasoning-Guided Iterative Learning System for Nuanced Perception based on Joint-Embedding Contextual Label Affinity
Traditional computer vision models often require extensive manual effort...
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06/28/2023
Confidence Ranking for CTR Prediction
Model evolution and constant availability of data are two common phenome...
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05/28/2023
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
Generalized intent discovery aims to extend a closed-set in-domain inten...
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02/28/2023
GRAN: Ghost Residual Attention Network for Single Image Super Resolution
Recently, many works have designed wider and deeper networks to achieve ...
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02/14/2023
Take a Prior from Other Tasks for Severe Blur Removal
Recovering clear structures from severely blurry inputs is a challenging...
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10/19/2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Detecting out-of-domain (OOD) intents from user queries is essential for...
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10/17/2022
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
Discovering out-of-domain (OOD) intent is important for developing new s...
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10/17/2022
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems
Recent advances in neural approaches greatly improve task-oriented dialo...
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10/17/2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
Detecting Out-of-Domain (OOD) or unknown intents from user queries is es...
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09/14/2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
Out-of-Domain (OOD) detection is a key component in a task-oriented dial...
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09/13/2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Traditional intent classification models are based on a pre-defined inte...
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07/13/2022
SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision
Accurate semantic segmentation models typically require significant comp...
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06/26/2022
A Pre-Computing Solution for Online Advertising Serving
Click-Through Rate (CTR) prediction plays a key role in online advertisi...
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05/26/2022
Evolution of beliefs in social networks
Evolution of beliefs of a society are a product of interactions between ...
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04/08/2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation
Recently, Graph Convolutional Network (GCN) has become a novel state-of-...
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03/30/2022
Omni-DETR: Omni-Supervised Object Detection with Transformers
We consider the problem of omni-supervised object detection, which can u...
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03/28/2022
Neurosymbolic hybrid approach to driver collision warning
There are two main algorithmic approaches to autonomous driving systems:...
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03/11/2022
Learning Distinctive Margin toward Active Domain Adaptation
Despite plenty of efforts focusing on improving the domain adaptation ab...
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12/17/2021
Probabilistic Inverse Optimal Transport
Optimal transport (OT) formalizes the problem of finding an optimal coup...
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12/02/2021
Neurosymbolic Systems of Perception Cognition: The Role of Attention
A cognitive architecture aimed at cumulative learning must provide the n...
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11/09/2021
Dynamic Parameterized Network for CTR Prediction
Learning to capture feature relations effectively and efficiently is ess...
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10/22/2021
DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy
Quantitative metrics that measure the global economy's equilibrium have ...
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10/18/2021
Fast tree skeleton extraction using voxel thinning based on tree point cloud
Tree skeleton plays an important role in tree structure analysis, forest...
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09/02/2021
A Support Vector Machine Based Cure Rate Model For Interval Censored Data
The mixture cure rate model is the most commonly used cure rate model in...
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08/02/2021
Wood-leaf classification of tree point cloud based on intensity and geometrical information
Terrestrial laser scanning (TLS) can obtain tree point cloud with high p...
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04/13/2021
IMAGINE: Image Synthesis by Image-Guided Model Inversion
We introduce an inversion based method, denoted as IMAge-Guided model IN...
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04/08/2021
Rethinking and Improving the Robustness of Image Style Transfer
Extensive research in neural style transfer methods has shown that the c...
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03/19/2021
Dynamic Transfer for Multi-Source Domain Adaptation
Recent works of multi-source domain adaptation focus on learning a domai...
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02/16/2021
Efficient Discretizations of Optimal Transport
Obtaining solutions to Optimal Transportation (OT) problems is typically...
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02/15/2021
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport
We consider constrained policy optimization in Reinforcement Learning, w...
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02/11/2021
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice
This paper introduces a new metamodel-based knowledge representation tha...
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01/15/2021
Non-uniform Motion Deblurring with Blurry Component Divided Guidance
Blind image deblurring is a fundamental and challenging computer vision ...
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12/15/2020
Semantic-Guided Representation Enhancement for Self-supervised Monocular Trained Depth Estimation
Self-supervised depth estimation has shown its great effectiveness in pr...
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12/06/2020
Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud
Terrestrial laser scanning technology provides an efficient and accuracy...
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11/02/2020
Search-based Kinodynamic Motion Planning for Omnidirectional Quadruped Robots
Autonomous navigation has played an increasingly significant role in qua...
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07/20/2020
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Long-tail recognition tackles the natural non-uniformly distributed data...
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05/12/2020
Towards Memory Safe Python Enclave for Security Sensitive Computation
Intel SGX Guard eXtensions (SGX), a hardware-supported trusted execution...
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05/09/2020
Building and Maintaining a Third-Party Library Supply Chain for Productive and Secure SGX Enclave Development
The big data industry is facing new challenges as concerns about privacy...
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04/16/2020
SCOUT: Self-aware Discriminant Counterfactual Explanations
The problem of counterfactual visual explanations is considered. A new f...
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02/28/2020
Automated classification of stems and leaves of potted plants based on point cloud data
The accurate classification of plant organs is a key step in monitoring ...
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02/13/2020
Sequential Cooperative Bayesian Inference
Cooperation is often implicitly assumed when learning from other agents....
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01/30/2020
Automatic marker-free registration of tree point-cloud data based on rotating projection
Point-cloud data acquired using a terrestrial laser scanner (TLS) play a...
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10/10/2019
Manifold learning from a teacher's demonstrations
We consider the problem of manifold learning. Extending existing approac...
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10/07/2019
A mathematical theory of cooperative communication
Cooperative communication plays a central role in theories of human cogn...
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05/30/2019
Identifying Cache-Based Side Channels through Secret-Augmented Abstract Interpretation
Cache-based side channels enable a dedicated attacker to reveal program ...
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12/11/2018
Variational Bayesian Complex Network Reconstruction
Complex network reconstruction is a hot topic in many fields. A popular ...
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10/04/2018
Generalizing the theory of cooperative inference
Cooperation information sharing is important to theories of human learni...
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11/27/2017
Pulsar Candidate Identification with Artificial Intelligence Techniques
Discovering pulsars is a significant and meaningful research topic in th...
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11/11/2017
3D Randomized Connection Network with Graph-based Label Inference
In this paper, a novel 3D deep learning network is proposed for brain MR...
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09/13/2017
