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Jan 14, 2020
Machine Learning
Artificial Intelligence
Hardware Architecture

Noisy Machines: Understanding Noisy Neural Networks and Enhancing R…

The success of deep learning has brought forth a wave of interest in computer hardware design to better meet the high demands of neural network infer…
Jan 14, 2020
Machine Learning
Artificial Intelligence

High--Dimensional Brain in a High-Dimensional World: Blessing of Di…

High-dimensional data and high-dimensional representations of reality are inherent features of modern Artificial Intelligence systems and application…
Jan 14, 2020
Cryptography and Security
Machine Learning

Differentially Private and Fair Classification via Calibrated Functio…

Machine learning is increasingly becoming a powerful tool to make decisions in a wide variety of applications, such as medical diagnosis and autonomo…
Jan 14, 2020
Machine Learning

Private Machine Learning via Randomised Response

We introduce a general learning framework for private machine learning based on randomised response. Our assumption is that all actors are potentiall…
Jan 14, 2020
Computation and Language
Cryptography and Security
Machine Learning

Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning

Word embeddings, i.e., low-dimensional vector representations such as GloVe and SGNS, encode word "meaning" in the sense that distances between words…
Jan 14, 2020
Computer Vision

Improving Semantic Analysis on Point Clouds via Auxiliary Supervision…

Existing deep learning algorithms for point cloud analysis mainly concern discovering semantic patterns from global configuration of local geometries…
Jan 14, 2020
Machine Learning
Computer Vision

Towards detection and classification of microscopic foraminifera usin…

Foraminifera are single-celled marine organisms, which may have a planktic or benthic lifestyle. During their life cycle they construct shells consis…
Jan 13, 2020
Robotics
Artificial Intelligence
Human-Computer Interaction
Machine Learning

LESS is More: Rethinking Probabilistic Models of Human Behavior

Robots need models of human behavior for both inferring human goals and preferences, and predicting what people will do. A common model is the Boltzm…
Jan 13, 2020
Computer Vision
Machine Learning
Multimedia
Sound
Audio and Speech Processing

Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencod…

We present an unsupervised approach that enables us to convert the speech input of any one individual to an output set of potentially-infinitely many…
Jan 13, 2020
Human-Computer Interaction

TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data

Eye movements provide insight into what parts of an image a viewer finds most salient, interesting, or relevant to the task at hand. Unfortunately, e…
Jan 13, 2020
Machine Learning
Computation and Language

Reformer: The Efficient Transformer

Large Transformer models routinely achieve state-of-the-art results on a number of tasks but training these models can be prohibitively costly, espec…
Jan 13, 2020
Image and Video Processing
Computer Vision

AttentionAnatomy: A unified framework for whole-body organs at risk …

Organs-at-risk (OAR) delineation in computed tomography (CT) is an important step in Radiation Therapy (RT) planning. Recently, deep learning based m…
Jan 13, 2020
Performance
Machine Learning

The Two-Pass Softmax Algorithm

The softmax (also called softargmax) function is widely used in machine learning models to normalize real-valued scores into a probability distributi…
Jan 13, 2020
Machine Learning
Computation and Language

LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structur…

Structured prediction requires manipulating a large number of combinatorial structures, e.g., dependency trees or alignments, either as latent or out…
Jan 13, 2020
Computer Vision

Towards Automated Swimming Analytics Using Deep Neural Networks

Methods for creating a system to automate the collection of swimming analytics on a pool-wide scale are considered in this paper. There has not been …
Jan 13, 2020
Artificial Intelligence

A Preliminary Approach for Learning Relational Policies for the Man…

The increased use of electronic health records has made possible the automated extraction of medical policies from patient records to aid in the deve…
Jan 13, 2020
Computational Geometry
Robotics

Evaluating the snappability of bar-joint frameworks

It is well-known that there exist bar-joint frameworks (without continuous flexions) whose physical models can snap between different realizations du…
Jan 13, 2020
Information Retrieval
Artificial Intelligence
Computation and Language
Databases

Negative Statements Considered Useful

Knowledge bases (KBs), pragmatic collections of knowledge about notable entities, are an important asset in applications such as search, question ans…
Jan 13, 2020
Information Retrieval
Artificial Intelligence
Computation and Language
Databases

Negative Statements Considered Useful

Knowledge bases (KBs), pragmatic collections of knowledge about notable entities, are an important asset in applications such as search, question ans…
Jan 13, 2020
Artificial Intelligence

Exploiting Language Instructions for Interpretable and Compositional …

In this work, we present an alternative approach to making an agent compositional through the use of a diagnostic classifier. Because of the need for…
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