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02/23/2023
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet
When deployed for risk-sensitive tasks, deep neural networks must be abl...
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02/23/2023
What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers
When deployed for risk-sensitive tasks, deep neural networks must includ...
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10/19/2022
Distribution Shift Detection for Deep Neural Networks
To deploy and operate deep neural models in production, the quality of t...
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06/05/2022
Which models are innately best at uncertainty estimation?
Deep neural networks must be equipped with an uncertainty estimation mec...
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05/26/2022
TransBoost: Improving the Best ImageNet Performance using Deep Transduction
This paper deals with deep transductive learning, and proposes TransBoos...
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11/26/2021
Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners
Focusing on discriminative zero-shot learning, in this work we introduce...
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10/26/2021
Disrupting Deep Uncertainty Estimation Without Harming Accuracy
Deep neural networks (DNNs) have proven to be powerful predictors and ar...
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07/18/2021
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN
Playing board games is considered a major challenge for both humans and ...
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07/01/2020
HydroNets: Leveraging River Structure for Hydrologic Modeling
Accurate and scalable hydrologic models are essential building blocks of...
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06/11/2020
DNF-Net: A Neural Architecture for Tabular Data
A challenging open question in deep learning is how to handle tabular da...
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11/21/2019
Accurate Hydrologic Modeling Using Less Information
Joint models are a common and important tool in the intersection of mach...
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11/03/2019
Improved Detection of Adversarial Attacks via Penetration Distortion Maximization
This paper is concerned with the defense of deep models against adversar...
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10/27/2019
Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships
One of the most difficult tasks in scene understanding is recognizing in...
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06/15/2019
Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
This paper is concerned with the task of multi-hop open-domain Question ...
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01/28/2019
ML for Flood Forecasting at Scale
Effective riverine flood forecasting at scale is hindered by a multitude...
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01/26/2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
We consider the problem of selective prediction (also known as reject op...
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11/19/2018
Deep Active Learning with a Neural Architecture Search
We consider active learning of deep neural networks. Most active learnin...
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05/28/2018
Deep Anomaly Detection Using Geometric Transformations
We consider the problem of anomaly detection in images, and present a ne...
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05/21/2018
Boosting Uncertainty Estimation for Deep Neural Classifiers
We consider the problem of uncertainty estimation in the context of (non...
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05/23/2017
Selective Classification for Deep Neural Networks
Selective classification techniques (also known as reject option) have n...
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12/04/2016
Deep Learning of Robotic Tasks without a Simulator using Strong and Weak Human Supervision
We propose a scheme for training a computerized agent to perform complex...
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09/22/2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
We introduce a method to train Quantized Neural Networks (QNNs) --- neur...
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02/08/2016
Binarized Neural Networks
We introduce a method to train Binarized Neural Networks (BNNs) - neural...
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04/05/2014
A Compression Technique for Analyzing Disagreement-Based Active Learning
We introduce a new and improved characterization of the label complexity...
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01/15/2014
Transductive Rademacher Complexity and its Applications
We develop a technique for deriving data-dependent error bounds for tran...
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09/01/2012
Autoregressive short-term prediction of turning points using support vector regression
This work is concerned with autoregressive prediction of turning points ...
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10/21/2010
On the Foundations of Adversarial Single-Class Classification
Motivated by authentication, intrusion and spam detection applications w...
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10/11/2010