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05/22/2023
Statistical Guarantees of Group-Invariant GANs
Group-invariant generative adversarial networks (GANs) are a type of GAN...
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05/21/2023
F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks
Computational complexity and overthinking problems have become the bottl...
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05/07/2023
Unified Demonstration Retriever for In-Context Learning
In-context learning is a new learning paradigm where a language model co...
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03/15/2023
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
Recently, deep learning has produced encouraging results for kidney ston...
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03/07/2023
On the Implicit Bias of Linear Equivariant Steerable Networks: Margin, Generalization, and Their Equivalence to Data Augmentation
We study the implicit bias of gradient flow on linear equivariant steera...
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02/03/2023
Sample Complexity of Probability Divergences under Group Symmetry
We rigorously quantify the improvement in the sample complexity of varia...
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01/27/2023
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation
Non-autoregressive translation (NAT) model achieves a much faster infere...
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12/22/2022
Sub-structure characteristic mode analysis of microstrip antennas using a global multi-trace formulation
A characteristic mode (CM) method that relies on a global multi-trace fo...
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08/09/2022
Improving Micro-video Recommendation by Controlling Position Bias
As the micro-video apps become popular, the numbers of micro-videos and ...
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07/26/2022
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones
Medication for neurological diseases such as the Parkinson's disease usu...
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07/24/2022
Explored An Effective Methodology for Fine-Grained Snake Recognition
Fine-Grained Visual Classification (FGVC) is a longstanding and fundamen...
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06/16/2022
MAGIC: Microlensing Analysis Guided by Intelligent Computation
The modeling of binary microlensing light curves via the standard sampli...
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05/09/2022
Localized Adversarial Domain Generalization
Deep learning methods can struggle to handle domain shifts not seen in t...
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05/09/2022
Deep Federated Anomaly Detection for Multivariate Time Series Data
Despite the fact that many anomaly detection approaches have been develo...
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03/16/2022
Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-Tuning
Since open social platforms allow for a large and continuous flow of unv...
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02/02/2022
Structure-preserving GANs
Generative adversarial networks (GANs), a class of distribution-learning...
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11/22/2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs
Incorporating group symmetry directly into the learning process has prov...
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11/16/2021
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning
Vehicle mobility optimization in urban areas is a long-standing problem ...
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09/15/2021
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis
Visual sentiment analysis has received increasing attention in recent ye...
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09/15/2021
Federated Learning of Molecular Properties in a Heterogeneous Setting
Chemistry research has both high material and computational costs to con...
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08/11/2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization
Deep learning algorithms mine knowledge from the training data and thus ...
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01/02/2021
Lex-BERT: Enhancing BERT based NER with lexicons
In this work, we represent Lex-BERT, which incorporates the lexicon info...
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12/29/2020
CMV-BERT: Contrastive multi-vocab pretraining of BERT
In this work, we represent CMV-BERT, which improves the pretraining of a...
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11/17/2020
MVP-BERT: Redesigning Vocabularies for Chinese BERT and Multi-Vocab Pretraining
Despite the development of pre-trained language models (PLMs) significan...
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11/15/2020
Precision-Recall Curve (PRC) Classification Trees
The classification of imbalanced data has presented a significant challe...
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09/25/2020
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
Parkinsons Disease is a neurological disorder and prevalent in elderly p...
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09/22/2020
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search
Although BERT based relation classification (RC) models have achieved si...
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09/04/2020
AutoTrans: Automating Transformer Design via Reinforced Architecture Search
Though the transformer architectures have shown dominance in many natura...
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05/25/2020
Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach
With the growth of online shopping for fashion products, accurate fashio...
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04/21/2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification
Skin disease classification from images is crucial to dermatological dia...
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04/07/2020
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning
This paper investigates the stochastic optimization problem with a focus...
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03/08/2020
Unifying Specialist Image Embedding into Universal Image Embedding
Deep image embedding provides a way to measure the semantic similarity o...
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10/14/2019
Constructing curvelet-like bases and low-redundancy frames
We provide a detailed analysis of the obstruction (studied first by S. D...
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09/24/2019
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters
Encoding the input scale information explicitly into the representation ...
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06/07/2019
Extension of Rough Set Based on Positive Transitive Relation
The application of rough set theory in incomplete information systems is...
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05/23/2019
Real-time Prediction of Bitcoin bubble Crashes
In the past decade, Bitcoin has become an emerging asset class well know...
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05/23/2019
Detection of Chinese Stock Market Bubbles with LPPLS Confidence Indicator
This paper aims to present an advance bubble detection methodology based...
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05/23/2019
Diagnosis and Prediction of the 2015 Chinese Stock Market Bubble
In this study, we perform a detailed analysis of the 2015 financial bubb...
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05/05/2019
A Polynomial Time Algorithm for Fair Resource Allocation in Resource Exchange
The rapid growth of wireless and mobile Internet has led to wide applica...
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09/23/2018
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization
We improve the robustness of deep neural nets to adversarial attacks by ...
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05/18/2018
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning
Deep neural networks (DNNs) typically have enough capacity to fit random...
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02/01/2018
Deep Learning with Data Dependent Implicit Activation Function
Though deep neural networks (DNNs) achieve remarkable performances in ma...
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12/27/2017
Artificial-noise-aided Secure Multicast Precoding for Directional Modulation Systems
In multi-cast scenario, all desired users are divided into K groups. Eac...
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12/14/2017
Multi-appearance Segmentation and Extended 0-1 Program for Dense Small Object Tracking
Aiming to address the fast multi-object tracking for dense small object ...
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11/16/2017
LDMNet: Low Dimensional Manifold Regularized Neural Networks
Deep neural networks have proved very successful on archetypal tasks for...
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09/12/2017
A convergence frame for inexact nonconvex and nonsmooth algorithms and its applications to several iterations
In this paper, we consider the convergence of an abstract inexact noncon...
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03/27/2017
Exploiting Color Name Space for Salient Object Detection
In this paper, we will investigate the contribution of color names for s...
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08/12/2015