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Oct 29, 2020
Computer Vision

RelationNet++: Bridging Visual Representations for Object Detection v…

Existing object detection frameworks are usually built on a single format of object/part representation, i.e., anchor/proposal rectangle boxes in Ret…
Oct 29, 2020
Computer Vision

Passport-aware Normalization for Deep Model Protection

Despite tremendous success in many application scenarios, deep learning faces serious intellectual property (IP) infringement threats. Considering th…
Oct 29, 2020
Computer Vision
Machine Learning

Black-Box Optimization of Object Detector Scales

Object detectors have improved considerably in the last years by using advanced CNN architectures. However, many detector hyper-parameters are genera…
Oct 29, 2020
Computer Vision
Machine Learning

Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural …

One-shot weight sharing methods have recently drawn great attention in neural architecture search due to high efficiency and competitive performance.…
Oct 29, 2020
Machine Learning

Tensor Completion via Tensor Networks with a Tucker Wrapper

In recent years, low-rank tensor completion (LRTC) has received considerable attention due to its applications in image/video inpainting, hyperspectr…
Oct 29, 2020
Robotics
Artificial Intelligence

A Framework for Learning Predator-prey Agents from Simulation to Real…

In this paper, we propose an evolutionary predatorprey robot system which can be generally implemented from simulation to the real world. We design t…
Oct 29, 2020
Computation and Language

Contextual BERT: Conditioning the Language Model Using a Global State

BERT is a popular language model whose main pre-training task is to fill in the blank, i.e., predicting a word that was masked out of a sentence, bas…
Oct 29, 2020
Computer Vision
Artificial Intelligence
Cryptography and Security

WaveTransform: Crafting Adversarial Examples via Input Decomposition

Frequency spectrum has played a significant role in learning unique and discriminating features for object recognition. Both low and high frequency i…
Oct 29, 2020
Sound
Machine Learning
Audio and Speech Processing

GANs & Reels: Creating Irish Music using a Generative Adversarial N…

In this paper we present a method for algorithmic melody generation using a generative adversarial network without recurrent components. Music genera…
Oct 29, 2020
Optimization and Control
Machine Learning

A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Noncon…

Nonconvex-concave min-max problem arises in many machine learning applications including minimizing a pointwise maximum of a set of nonconvex functio…
Oct 29, 2020
Computational Physics
Machine Learning
Image and Video Processing
Medical Physics

A Helmholtz equation solver using unsupervised learning: Application …

Transcranial ultrasound therapy is increasingly used for the non-invasive treatment of brain disorders. However, conventional numerical wave solvers …
Oct 29, 2020
Numerical Analysis
Machine Learning

Identifying Transition States of Chemical Kinetic Systems using Netwo…

Using random walk sampling methods for feature learning on networks, we develop a method for generating low-dimensional node embeddings for directed …
Oct 29, 2020
Machine Learning

Causal variables from reinforcement learning using generalized Bellma…

Many open problems in machine learning are intrinsically related to causality, however, the use of causal analysis in machine learning is still in it…
Oct 29, 2020
Computer Vision
Machine Learning
Image and Video Processing

Recurrent Neural Networks for video object detection

There is lots of scientific work about object detection in images. For many applications like for example autonomous driving the actual data on which…
Oct 29, 2020
Computation and Language
Machine Learning

Explainable Automated Coding of Clinical Notes using Hierarchical L…

Diagnostic or procedural coding of clinical notes aims to derive a coded summary of disease-related information about patients. Such coding is usuall…
Oct 29, 2020
Machine Learning

Attentive Clustering Processes

Amortized approaches to clustering have recently received renewed attention thanks to novel objective functions that exploit the expressiveness of de…
Oct 29, 2020
Computer Vision
Machine Learning

Permute, Quantize, and Fine-tune: Efficient Compression of Neural N…

Compressing large neural networks is an important step for their deployment in resource-constrained computational platforms. In this context, vector …
Oct 29, 2020
Machine Learning
Analysis of PDEs

Learning interaction kernels in mean-field equations of 1st-order s…

We introduce a nonparametric algorithm to learn interaction kernels of mean-field equations for 1st-order systems of interacting particles. The data …
Oct 29, 2020
Machine Learning
Statistics Theory

Analyzing the tree-layer structure of Deep Forests

Random forests on the one hand, and neural networks on the other hand, have met great success in the machine learning community for their predictive …
Oct 29, 2020
Statistics Theory
Machine Learning

Generalization bounds for deep thresholding networks

We consider compressive sensing in the scenario where the sparsity basis (dictionary) is not known in advance, but needs to be learned from examples.…
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