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08/29/2023
Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints
Unlike cloud-based deep learning models that are often large and uniform...
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08/17/2023
Accelerating Aggregation Queries on Unstructured Streams of Data
Analysts and scientists are interested in querying streams of video, aud...
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08/09/2023
Learning multi-domain feature relation for visible and Long-wave Infrared image patch matching
Recently, learning-based algorithms have achieved promising performance ...
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06/19/2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
In this paper, we introduce AdaSelection, an adaptive sub-sampling metho...
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05/31/2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Multi-output deep neural networks(MONs) contain multiple task branches, ...
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03/28/2023
Boundary-to-Solution Mapping for Groundwater Flows in a Toth Basin
In this paper, the authors propose a new approach to solving the groundw...
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12/13/2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data
Today, recommender systems have played an increasingly important role in...
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12/07/2022
Artificial Intelligence Security Competition (AISC)
The security of artificial intelligence (AI) is an important research ar...
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11/09/2022
ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation
Over the past few years, AI methods of generating images have been incre...
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10/17/2022
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs
As ML models have increased in capabilities and accuracy, so has the com...
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07/16/2022
TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance
Grasp pose estimation is an important issue for robots to interact with ...
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06/17/2022
Accelerated Kinetic Monte Carlo methods for general nonlocal traffic flow models
This paper presents a class of one-dimensional cellular automata (CA) mo...
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05/12/2022
Using Natural Sentences for Understanding Biases in Language Models
Evaluation of biases in language models is often limited to syntheticall...
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09/08/2021
NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task–Next Sentence Prediction
Using prompts to utilize language models to perform various downstream t...
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07/02/2021
Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM
Motivated by applications to single-particle cryo-electron microscopy (c...
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06/18/2021
ICINet: ICI-Aware Neural Network Based Channel Estimation for Rapidly Time-Varying OFDM Systems
A novel intercarrier interference (ICI)-aware orthogonal frequency divis...
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03/25/2021
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation
Prior works on formalizing explanations of a graph neural network (GNN) ...
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10/21/2020
Data augmentation as stochastic optimization
We present a theoretical framework recasting data augmentation as stocha...
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06/25/2020
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
In commercial buildings, about 40 is attributed to Heating, Ventilation,...
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03/31/2020
Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model
We study the non-convex optimization landscape for maximum likelihood es...
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02/13/2020
Multi-objective Ranking via Constrained Optimization
In this paper, we introduce an Augmented Lagrangian based method to inco...
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09/14/2019
Line as object: datasets and framework for semantic line segment detection
In this work, we propose a learning-based approach to the task of detect...
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08/21/2019
Testing Robustness Against Unforeseen Adversaries
Considerable work on adversarial defense has studied robustness to a fix...
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08/19/2019
Learning Fair Classifiers in Online Stochastic Settings
In many real life situations, including job and loan applications, gatek...
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06/15/2019
Txilm: Lossy Block Compression with Salted Short Hashing
Current blockchains are restricted by the low throughput. Aimed at this ...
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05/03/2019
Transfer of Adversarial Robustness Between Perturbation Types
We study the transfer of adversarial robustness of deep neural networks ...
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03/22/2019
Principal components in linear mixed models with general bulk
We study the outlier eigenvalues and eigenvectors in variance components...
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12/12/2018
An Active-Passive Measurement Study of TCP Performance over LTE on High-speed Rails
High-speed rail (HSR) systems potentially provide a more efficient way o...
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12/04/2018
Learning Vine Copula Models For Synthetic Data Generation
A vine copula model is a flexible high-dimensional dependence model whic...
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11/20/2018
Limited Gradient Descent: Learning With Noisy Labels
Label noise may handicap the generalization of classifiers, and it is an...
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06/25/2018
Spiked covariances and principal components analysis in high-dimensional random effects models
We study principal components analyses in multivariate random and mixed ...
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03/09/2017
Development of a computer-aided design software for dental splint in orthognathic surgery
In the orthognathic surgery, dental splints are important and necessary ...
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12/07/2015
Sparsifying Neural Network Connections for Face Recognition
This paper proposes to learn high-performance deep ConvNets with sparse ...
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11/02/2015
From random walks to distances on unweighted graphs
Large unweighted directed graphs are commonly used to capture relations ...
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02/03/2015
DeepID3: Face Recognition with Very Deep Neural Networks
The state-of-the-art of face recognition has been significantly advanced...
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12/03/2014
Deeply learned face representations are sparse, selective, and robust
This paper designs a high-performance deep convolutional network (DeepID...
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11/20/2014
Metric recovery from directed unweighted graphs
We analyze directed, unweighted graphs obtained from x_i∈R^d by connecti...
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06/18/2014
Deep Learning Face Representation by Joint Identification-Verification
The key challenge of face recognition is to develop effective feature re...
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09/26/2012
Efficient Natural Evolution Strategies
Efficient Natural Evolution Strategies (eNES) is a novel alternative to ...
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06/18/2012
On the Size of the Online Kernel Sparsification Dictionary
We analyze the size of the dictionary constructed from online kernel spa...
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06/22/2011
Natural Evolution Strategies
This paper presents Natural Evolution Strategies (NES), a recent family ...
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06/10/2011
A Linear Time Natural Evolution Strategy for Non-Separable Functions
We present a novel Natural Evolution Strategy (NES) variant, the Rank-On...
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03/29/2011
