
Enabling the Network to Surf the Internet
Fewshot learning is challenging due to the limited data and labels. Exi...
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Active Learning to Classify Macromolecular Structures in situ for Less Supervision in CryoElectron Tomography
Motivation: CryoElectron Tomography (cryoET) is a 3D bioimaging tool t...
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Squared ℓ_2 Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations
Data augmentation is one of the most popular techniques for improving th...
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Word Shape Matters: Robust Machine Translation with Visual Embedding
Neural machine translation has achieved remarkable empirical performance...
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SelfChallenging Improves CrossDomain Generalization
Convolutional Neural Networks (CNN) conduct image classification by acti...
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Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
Statistical natural language inference (NLI) models are susceptible to l...
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Learning Robust Global Representations by Penalizing Local Predictive Power
Despite their renowned predictive power on i.i.d. data, convolutional ne...
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High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
We investigate the relationship between the frequency spectrum of image ...
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What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks
Nature language inference (NLI) task is a predictive task of determining...
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Fair Deep Learning Prediction for Healthcare Applications with Confounder Filtering
The rapid development of deep learning methods has permitted the fast an...
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Deep Learning for Genomics: A Concise Overview
Advancements in genomic research such as highthroughput sequencing tech...
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Sparse Variable Selection on High Dimensional Heterogeneous Data with Tree Structured Responses
We consider the problem of sparse variable selection on high dimension h...
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A Sparse GraphStructured Lasso Mixed Model for Genetic Association with Confounding Correction
While linear mixed model (LMM) has shown a competitive performance in co...
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On the Origin of Deep Learning
This paper is a review of the evolutionary history of deep learning mode...
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SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data
Understanding how brain functions has been an intriguing topic for years...
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A Survey: Time Travel in Deep Learning Space: An Introduction to Deep Learning Models and How Deep Learning Models Evolved from the Initial Ideas
This report will show the history of deep learning evolves. It will trac...
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Evaluation of Proteinprotein Interaction Predictors with Noisy Partially Labeled Data Sets
Proteinprotein interaction (PPI) prediction is an important problem in ...
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Multimodal Transfer Deep Learning with Applications in AudioVisual Recognition
We propose a transfer deep learning (TDL) framework that can transfer th...
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Discovery of Important Crossroads in Road Network using Massive Taxi Trajectories
A major problem in road network analysis is discovery of important cross...
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Haohan Wang
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