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07/31/2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels
In real-world applications, perfect labels are rarely available, making ...
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05/29/2023
Deeply Coupled Cross-Modal Prompt Learning
Recent advancements in multimodal foundation models (e.g., CLIP) have ex...
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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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05/05/2023
Microarchitectures for Heterogeneous Superconducting Quantum Computers
Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headline...
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04/27/2023
Dynamic Pricing and Learning with Bayesian Persuasion
We consider a novel dynamic pricing and learning setting where in additi...
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03/18/2023
MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking
The main challenge of Multi-Object Tracking (MOT) lies in maintaining a ...
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02/22/2023
A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection
Diabetic retinopathy (DR) is a leading cause of blindness worldwide. Ear...
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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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11/17/2022
Dynamic Predictive Sampling Analog to Digital Converter for Sparse Signal Sensing
This paper presents a dynamic predictive sampling (DPS) based analog-to-...
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11/17/2022
Fully Digital Second-order Level-crossing Sampling ADC for Data Saving in Sensing Sparse Signals
This paper presents a fully integrated second-order level-crossing sampl...
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11/16/2022
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction
Relational triple extraction is challenging for its difficulty in captur...
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10/12/2022
LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLAD
Large-scale point cloud semantic segmentation is an important task in 3D...
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07/17/2022
Rationality-Robust Information Design: Bayesian Persuasion under Quantal Response
We relax the receiver's full rationality assumption in Bayesian persuasi...
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06/23/2022
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization
The main challenge of Temporal Action Localization is to retrieve subtle...
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04/21/2022
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Third-party libraries (TPLs) are reused frequently in software applicati...
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02/12/2022
Online Bayesian Recommendation with No Regret
We introduce and study the online Bayesian recommendation problem for a ...
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12/20/2021
Translational Concept Embedding for Generalized Compositional Zero-shot Learning
Generalized compositional zero-shot learning means to learn composed con...
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08/05/2021
Time-aware Path Reasoning on Knowledge Graph for Recommendation
Reasoning on knowledge graph (KG) has been studied for explainable recom...
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07/31/2021
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
Understanding complex social interactions among agents is a key challeng...
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07/27/2021
Enriching Local and Global Contexts for Temporal Action Localization
Effectively tackling the problem of temporal action localization (TAL) n...
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03/30/2021
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
Weakly-supervised Temporal Action Localization (WS-TAL) methods learn to...
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03/28/2021
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
The object of Weakly-supervised Temporal Action Localization (WS-TAL) is...
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03/05/2021
Competitive Information Disclosure with Multiple Receivers
This paper analyzes a model of competition in Bayesian persuasion in whi...
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11/22/2020
BigBen: Telemetry Processing for Internet-wide Event Monitoring
This paper describes BigBen, a network telemetry processing system desig...
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11/09/2020
Two-Stream Appearance Transfer Network for Person Image Generation
Pose guided person image generation means to generate a photo-realistic ...
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10/22/2020
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
Weakly-supervised Temporal Action Localization (W-TAL) aims to classify ...
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09/28/2020
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score
Scene graph parsing aims to detect objects in an image scene and recogni...
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09/16/2020
The 1st Tiny Object Detection Challenge:Methods and Results
The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
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07/30/2020
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge
Multi-label zero-shot classification aims to predict multiple unseen cla...
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04/15/2020
Combining Visible Light and Infrared Imaging for Efficient Detection of Respiratory Infections such as COVID-19 on Portable Device
Coronavirus Disease 2019 (COVID-19) has become a serious global epidemic...
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02/24/2020
Fair Bandit Learning with Delayed Impact of Actions
Algorithmic fairness has been studied mostly in a static setting where t...
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09/05/2019
Scalable Double Regularization for 3D Nano-CT Reconstruction
Nano-CT (computerized tomography) has emerged as a non-destructive high-...
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11/27/2018
A Compositional Textual Model for Recognition of Imperfect Word Images
Printed text recognition is an important problem for industrial OCR syst...
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10/19/2018
MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation
To synthesize high quality person images with arbitrary poses is challen...
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12/21/2017
ReabsNet: Detecting and Revising Adversarial Examples
Though deep neural network has hit a huge success in recent studies and ...
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12/15/2017