
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas
Given a single RGB panorama, the goal of 3D layout reconstruction is to ...
read it

Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
Automated mathematical reasoning is a challenging problem that requires ...
read it

The data synergy effects of timeseries deep learning models in hydrology
When fitting statistical models to variables in geoscientific discipline...
read it

The Neural Coding Framework for Learning Generative Models
Neural generative models can be used to learn complex probability distri...
read it

Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms
Private selection algorithms, such as the Exponential Mechanism, Noisy M...
read it

Optimizing FitnessForUse of Differentially Private Linear Queries
In practice, differentially private data releases are designed to suppor...
read it

Differentially Private Deep Learning with Direct Feedback Alignment
Standard methods for differentially private training of deep neural netw...
read it

Scaling up Differentially Private Deep Learning with Fast PerExample Gradient Clipping
Recent work on Renyi Differential Privacy has shown the feasibility of a...
read it

CheckDP: An Automated and Integrated Approach for Proving Differential Privacy or Finding Precise Counterexamples
We propose CheckDP, the first automated and integrated approach for prov...
read it

Guidelines for Implementing and Auditing Differentially Private Systems
Differential privacy is an information theoretic constraint on algorithm...
read it

Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment
Training deep neural networks on largescale datasets requires significa...
read it

Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions
Soil moisture is an important variable that determines floods, vegetatio...
read it

Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively
In lifelong learning systems, especially those based on artificial neura...
read it

Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms
Noisy Max and Sparse Vector are selection algorithms for differential pr...
read it

Proving Differential Privacy with Shadow Execution
Recent work on formal verification of differential privacy shows a trend...
read it

Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations
Temporal models based on recurrent neural networks have proven to be qui...
read it

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
Temporal models based on recurrent neural networks have proven to be qui...
read it

ETLasso: Efficient Tuning of Lasso for HighDimensional Data
The L1 regularization (Lasso) has proven to be a versatile tool to selec...
read it

TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multitask Cascade
We study the problem of extracting text instance contour information fro...
read it

Concentrated Differentially Private Gradient Descent with Adaptive perIteration Privacy Budget
Iterative algorithms, like gradient descent, are common tools for solvin...
read it

Detecting Outliers in Data with Correlated Measures
Advances in sensor technology have enabled the collection of largescale...
read it

Toward Detecting Violations of Differential Privacy
The widespread acceptance of differential privacy has led to the publica...
read it

Guided Attention for Large Scale Scene Text Verification
Many tasks are related to determining if a particular text string exists...
read it

Differentially Private Confidence Intervals for Empirical Risk Minimization
The process of data mining with differential privacy produces results th...
read it

Differentially Private Hierarchical CountofCounts Histograms
We consider the problem of privately releasing a class of queries that w...
read it

Differentially Private Hierarchical Group Size Estimation
Consider the problem of estimating, for every integer j, the number of h...
read it

Conducting Credit Assignment by Aligning Local Representations
The use of backpropagation and its variants to train deep networks is o...
read it

Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental US Using a Deep Learning Neural Network
The Soil Moisture Active Passive (SMAP) mission has delivered valuable s...
read it

Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network
We present an endtoend, multimodal, fully convolutional network for ex...
read it

Predicting Demographics of HighResolution Geographies with Geotagged Tweets
In this paper, we consider the problem of predicting demographics of geo...
read it

Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization
Many previous proposals for adversarial training of deep neural nets hav...
read it
Daniel Kifer
is this you? claim profile