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07/26/2023
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?
Transformer-based pretrained language models (PLMs) have achieved great ...
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07/14/2023
Equilibrium Analysis of Customer Attraction Games
We introduce a game model called "customer attraction game" to demonstra...
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06/21/2023
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource
Deep Neural Networks (DNNs) have significantly improved the accuracy of ...
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04/07/2023
Improving Identity-Robustness for Face Models
Despite the success of deep-learning models in many tasks, there have be...
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02/05/2023
See You Soon: Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
Reconstructing interacting hands from a single RGB image is a very chall...
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10/13/2022
Competition among Parallel Contests
We investigate the model of multiple contests held in parallel, where ea...
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10/12/2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Improving fairness between privileged and less-privileged sensitive attr...
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10/11/2022
Stochastic Constrained DRO with a Complexity Independent of Sample Size
Distributionally Robust Optimization (DRO), as a popular method to train...
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07/29/2022
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
Temporal grounding aims to locate a target video moment that semanticall...
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06/17/2022
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Recent researches in artificial intelligence have proposed versatile con...
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01/08/2022
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception
Due to the wavelength-dependent light attenuation, refraction and scatte...
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11/05/2021
A Variational U-Net for Weather Forecasting
Not only can discovering patterns and insights from atmospheric data ena...
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06/19/2021
Fisher Markets with Linear Constraints: Equilibrium Properties and Efficient Distributed Algorithms
The Fisher market is one of the most fundamental models for resource all...
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06/13/2021
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation
Medical imaging datasets usually exhibit domain shift due to the variati...
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04/18/2021
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence
Areas under ROC (AUROC) and precision-recall curves (AUPRC) are common m...
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02/09/2021
The Multiplicative Version of Azuma's Inequality, with an Application to Contention Analysis
Azuma's inequality is a tool for proving concentration bounds on random ...
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12/03/2020
Traffic4cast 2020 – Graph Ensemble Net and the Importance of Feature And Loss Function Design for Traffic Prediction
This paper details our solution to Traffic4cast 2020. Similar to Traffic...
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11/05/2020
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Video anomaly detection is commonly used in many applications such as se...
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10/12/2020
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
The Empirical Revenue Maximization (ERM) is one of the most important pr...
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09/14/2020
Variance-Reduced Off-Policy Memory-Efficient Policy Search
Off-policy policy optimization is a challenging problem in reinforcement...
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07/19/2020
AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
In this paper, we propose an adaptive weighting regression (AWR) method ...
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07/18/2020
Optimally Integrating Ad Auction into E-Commerce Platforms
Advertising becomes one of the most popular ways of monetizing an online...
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05/21/2020
Markets for Efficient Public Good Allocation with Social Distancing
Public goods are often either over-consumed in the absence of regulatory...
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05/20/2020
Computations and Complexities of Tarski's Fixed Points and Supermodular Games
We consider two models of computation for Tarski's order preserving func...
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12/24/2019
a simple and effective framework for pairwise deep metric learning
Deep metric learning (DML) has received much attention in deep learning ...
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05/28/2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Channel pruning can significantly accelerate and compress deep neural ne...
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12/27/2018
Vehicular Edge Computing via Deep Reinforcement Learning
The smart vehicles construct Vehicle of Internet which can execute vario...
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11/28/2018
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
Difference of convex (DC) functions cover a broad family of non-convex a...
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11/21/2018
A Deep Tree-Structured Fusion Model for Single Image Deraining
We propose a simple yet effective deep tree-structured fusion model base...
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11/02/2018
