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Jan 20, 2021
Cryptography and Security
Machine Learning

RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Re…

Adversarial attacks on Neural Network weights, such as the progressive bit-flip attack (PBFA), can cause a catastrophic degradation in accuracy by fl…
Jan 20, 2021
Computation and Language

Generating (Formulaic) Text by Splicing Together Nearest Neighbors

We propose to tackle conditional text generation tasks, especially those which require generating formulaic text, by splicing together segments of te…
Jan 20, 2021
Robotics
Systems and Control

Trajectory optimization for contact-rich motions using implicit dif…

This paper presents a novel approach using sensitivity analysis for generalizing Differential Dynamic Programming (DDP) to systems characterized by i…
Jan 20, 2021
Machine Learning
Signal Processing

Probabilistic Solar Power Forecasting: Long Short-Term Memory Network…

The high penetration of volatile renewable energy sources such as solar make methods for coping with the uncertainty associated with them of paramoun…
Jan 20, 2021
Human-Computer Interaction

In this paper, we examine what readers take away from both a chart and its caption. Our results suggest that when the caption mentions visual features of differing prominence levels, the takeaways differ. When the caption mentions a specific feature…

Towards Understanding How Readers Integrate Charts and Captions: A Ca…

Charts often contain visually prominent features that draw attention to aspects of the data and include text captions that emphasize aspects of the d…
Jan 20, 2021
Computation and Language

Word Alignment by Fine-tuning Embeddings on Parallel Corpora

Word alignment over parallel corpora has a wide variety of applications, including learning translation lexicons, cross-lingual transfer of language …
Jan 20, 2021
Information Theory
Machine Learning
Signal Processing

Trimming the Fat from OFDM: Pilot- and CP-less Communication with E…

Orthogonal frequency division multiplexing (OFDM) is one of the dominant waveforms in wireless communication systems due to its efficient implementat…
Jan 20, 2021
Quantitative Methods
Computer Vision
Neurons and Cognition

Fast deep learning correspondence for neuron tracking and identificat…

We present an automated method to track and identify neurons in C. elegans, called "fast Deep Learning Correspondence" or fDLC, based on the transfor…
Jan 20, 2021
Social and Information Networks

VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on T…

The wide spread of unfounded election fraud claims surrounding the U.S. 2020 election had resulted in undermining of trust in the election, culminati…
Jan 20, 2021
Cryptography and Security
Distributed
Parallel
and Cluster Computing
Machine Learning

secureTF: A Secure TensorFlow Framework

Data-driven intelligent applications in modern online services have become ubiquitous. These applications are usually hosted in the untrusted cloud c…
Jan 20, 2021
Computation and Language

Can Taxonomy Help? Improving Semantic Question Matching using Questio…

In this paper, we propose a hybrid technique for semantic question matching. It uses our proposed two-layered taxonomy for English questions by augme…
Jan 20, 2021
Formal Languages and Automata Theory
Machine Learning

Synthesizing Context-free Grammars from Recurrent Neural Networks (…

We present an algorithm for extracting a subclass of the context free grammars (CFGs) from a trained recurrent neural network (RNN). We develop a new…
Jan 20, 2021
Information Retrieval
Computation and Language
Machine Learning

Open-Domain Conversational Search Assistant with Transformers

Open-domain conversational search assistants aim at answering user questions about open topics in a conversational manner. In this paper we show how …
Jan 20, 2021
Machine Learning
Artificial Intelligence

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-…

Graph representation learning has attracted increasing research attention. However, most existing studies fuse all structural features and node attri…
Jan 20, 2021
Artificial Intelligence

mt5b3: A Framework for Building AutonomousTraders

Autonomous trading robots have been studied in ar-tificial intelligence area for quite some time. Many AI techniqueshave been tested in finance field…
Jan 20, 2021
Distributed
Parallel
and Cluster Computing
Databases
Machine Learning

Neural-based Modeling for Performance Tuning of Spark Data Analytics

Cloud data analytics has become an integral part of enterprise business operations for data-driven insight discovery. Performance modeling of cloud d…
Jan 20, 2021
Computer Vision

Video Relation Detection with Trajectory-aware Multi-modal Features

Video relation detection problem refers to the detection of the relationship between different objects in videos, such as spatial relationship and ac…
Jan 20, 2021
Machine Learning

Extensive Studies of the Neutron Star Equation of State from the Deep…

We discuss deep learning inference for the neutron star equation of state (EoS) using the real observational data of the mass and the radius. We make…
Jan 20, 2021
Human-Computer Interaction

On the Readability of Abstract Set Visualizations

Set systems are used to model data that naturally arises in many contexts: social networks have communities, musicians have genres, and patients have…
Jan 20, 2021
Computer Vision

This paper takes a thorough analysis of BBR for object detection and find that the potential of the loss function has not been fully exploited. The first reason is that existing loss functions all have some drawbacks, hindering the regression of bou…

Focal and Efficient IOU Loss for Accurate Bounding Box Regression

In object detection, bounding box regression (BBR) is a crucial step that determines the object localization performance. However, we find that most …
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