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Oct 19, 2020
Machine Learning
Computation and Language

Parameter Norm Growth During Training of Transformers

The capacity of neural networks like the widely adopted transformer is known to be very high. Evidence is emerging that they learn successfully due t…
Oct 19, 2020
Machine Learning
Systems and Control

DAN -- An optimal Data Assimilation framework based on machine learni…

Data assimilation algorithms aim at forecasting the state of a dynamical system by combining a mathematical representation of the system with noisy o…
Oct 19, 2020
Computation and Language

Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Tr…

In this work, we focus on improving ASR output segmentation in the context of low-resource language speech-to-text translation. ASR output segmentati…
Oct 19, 2020
Computation and Language

Question Generation for Supporting Informational Query Intents

Users frequently ask simple factoid questions when encountering question answering (QA) systems, attenuating the impact of myriad recent works design…
Oct 19, 2020
Distributed
Parallel
and Cluster Computing
Artificial Intelligence
Machine Learning

A Demonstration of Smart Doorbell Design Using Federated Deep Learning

Smart doorbells have been playing an important role in protecting our modern homes. Existing approaches of sending video streams to a centralized ser…
Oct 19, 2020
Statistics Theory
Methodology
Machine Learning

Variance-adaptive confidence sequences by betting

This paper derives confidence intervals (CI) and time-uniform confidence sequences (CS) for an unknown mean based on bounded observations. Our method…
Oct 19, 2020
Cryptography and Security
Artificial Intelligence
Computer Vision
Machine Learning

The first author thanks members of the Visual Information Processing and Protection (VIPP) group at the University of Siena, Italy for their suggestions.

A Survey of Machine Learning Techniques in Adversarial Image Forensics

Image forensic plays a crucial role in both criminal investigations (e.g., dissemination of fake images to spread racial hate or false narratives abo…
Oct 19, 2020
Computer Vision

Detecting Hands and Recognizing Physical Contact in the Wild

We investigate a new problem of detecting hands and recognizing their physical contact state in unconstrained conditions. This is a challenging infer…
Oct 19, 2020
Computer Vision

Multi-Stage Fusion for One-Click Segmentation

Segmenting objects of interest in an image is an essential building block of applications such as photo-editing and image analysis. Under interactive…
Oct 19, 2020
Machine Learning
Cryptography and Security
Computer Vision

RobustBench: a standardized adversarial robustness benchmark

Evaluation of adversarial robustness is often error-prone leading to overestimation of the true robustness of models. While adaptive attacks designed…
Oct 19, 2020
Distributed
Parallel
and Cluster Computing
Robotics

Pattern Formation by Robots with Inaccurate Movements

\textsc{Arbitrary Pattern Formation} is a fundamental problem in autonomous mobile robot systems. The problem asks to design a distributed algorithm …
Oct 19, 2020
Sound
Machine Learning
Audio and Speech Processing

MicAugment: One-shot Microphone Style Transfer

A crucial aspect for the successful deployment of audio-based models "in-the-wild" is the robustness to the transformations introduced by heterogeneo…
Oct 19, 2020
Machine Learning
Sound

Semi-supervised Batch Active Learning via Bilevel Optimization

Active learning is an effective technique for reducing the labeling cost by improving data efficiency. In this work, we propose a novel batch acquisi…
Oct 19, 2020
Data Structures and Algorithms
Machine Learning
Numerical Analysis

Hutch++: Optimal Stochastic Trace Estimation

We study the problem of estimating the trace of a matrix $A$ that can only be accessed through matrix-vector multiplication. We introduce a new rando…
Oct 19, 2020
Multimedia
Artificial Intelligence

To simplify and expedite a tedious process of comparing models for cross-modal retrieval, we present DIME, an online tool that builds upon previous work as a modality-agnostic search engine which automates the construction of queryable indexes from …

DIME: An Online Tool for the Visual Comparison of Cross-Modal Retriev…

Cross-modal retrieval relies on accurate models to retrieve relevant results for queries across modalities such as image, text, and video. In this pa…
Oct 19, 2020
Computation and Language

Adaptive Attentional Network for Few-Shot Knowledge Graph Completion

Few-shot Knowledge Graph (KG) completion is a focus of current research, where each task aims at querying unseen facts of a relation given its few-sh…
Oct 19, 2020
Neural and Evolutionary Computation
Machine Learning
Robotics

Deep Reinforcement Learning with Population-Coded Spiking Neural Netw…

The energy-efficient control of mobile robots is crucial as the complexity of their real-world applications increasingly involves high-dimensional ob…
Oct 19, 2020
Machine Learning

In this paper, we verify or partially verify the following causes of adversarial examples: linearity of the model, one-sum constraint on output probabilities, path-connected classification regions, excessive number of target categories, geometry of …

Verifying the Causes of Adversarial Examples

The robustness of neural networks is challenged by adversarial examples that contain almost imperceptible perturbations to inputs, which mislead a cl…
Oct 19, 2020
Machine Learning

PAC$^m$-Bayes: Narrowing the Empirical Risk Gap in the Misspecified …

While the decision-theoretic optimality of the Bayesian formalism under correct model specification is well-known (Berger 2013), the Bayesian case be…
Oct 19, 2020
Machine Learning

Do Deeper Convolutional Networks Perform Better?

Over-parameterization is a recent topic of much interest in the machine learning community. While over-parameterized neural networks are capable of p…
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