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Sep 13, 2019
By shiyue
Computation and Language
Artificial Intelligence
Machine Learning

Addressing Semantic Drift in Question Generation for Semi-Supervised …

Text-based Question Generation (QG) aims at generating natural and relevant questions that can be answered by a given answer in some context. Existin…
Sep 13, 2019
Computation and Language

simple but effective techniques to reduce biases

There have been several studies recently showing that strong natural language inference (NLI) models are prone to relying on unwanted dataset biases,…
Sep 13, 2019
Machine Learning
Computer Vision

Flow Models for Arbitrary Conditional Likelihoods

Understanding the dependencies among features of a dataset is at the core of most unsupervised learning tasks. However, a majority of generative mode…
Sep 13, 2019
Machine Learning
Distributed
Parallel
and Cluster Computing

DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters

More and more companies have deployed machine learning (ML) clusters, where deep learning (DL) models are trained for providing various AI-driven ser…
Sep 13, 2019
By kaili
Computer Vision

Rethinking Zero-Shot Learning: A Conditional Visual Classification …

Zero-shot learning (ZSL) aims to recognize instances of unseen classes solely based on the semantic descriptions of the classes. Existing algorithms …
Sep 12, 2019
Image and Video Processing
Computer Vision

Perceptual Image Anomaly Detection

We present a novel method for image anomaly detection, where algorithms that use samples drawn from some distribution of "normal" data, aim to detect…
Sep 12, 2019
Computation and Language
Machine Learning

Analyzing machine-learned representations: A natural language case st…

As modern deep networks become more complex, and get closer to human-like capabilities in certain domains, the question arises of how the representat…
Sep 12, 2019
Computation and Language

We presented the Schema-Guided Dialogue dataset to encourage scalable modeling approaches for virtual assistants. We also introduced the schema-guided paradigm for task-oriented dialogue that simplifies the integration of new services and APIs with …

Towards Scalable Multi-domain Conversational Agents: The Schema-Guide…

Virtual assistants such as Google Assistant, Alexa and Siri provide a conversational interface to a large number of services and APIs spanning multip…
Sep 12, 2019
Machine Learning
Optimization and Control

Communication-Efficient Distributed Optimization in Networks with G…

There is a growing interest in large-scale machine learning and optimization over decentralized networks, e.g. in the context of multi-agent learning…
Sep 12, 2019
Machine Learning
Computational Complexity

On the Hardness of Robust Classification

It is becoming increasingly important to understand the vulnerability of machine learning models to adversarial attacks. In this paper we study the f…
Sep 12, 2019
Computer Vision

I-SAFE: Instant Suspicious Activity identiFication at the Edge using …

Urban imagery usually serves as forensic analysis and by design is available for incident mitigation. As more imagery collected, it is harder to narr…
Sep 12, 2019
Image and Video Processing
Computer Vision
Medical Physics

PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated …

Magnetic Resonance Imaging (MRI) has long been considered to be among "the gold standards" of diagnostic medical imaging. The long acquisition times,…
Sep 12, 2019
Computer Vision
Graphics
Machine Learning

CvxNets: Learnable Convex Decomposition

Any solid object can be decomposed into a collection of convex polytopes (in short, convexes). When a small number of convexes are used, such a decom…
Sep 12, 2019
Computer Vision
Robotics

VeREFINE: Integrating Object Pose Verification with Iterative Physi…

Precise object pose estimation for robotics applications and augmented reality relies on final refinement and verification steps. However, interactio…
Sep 12, 2019
Human-Computer Interaction
Computation and Language

InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conve…

Natural language interfaces have become a common part of modern digital life. Chatbots utilize text-based conversations to communicate with users; pe…
Sep 12, 2019
By yannisk
Machine Learning

Coarse-scale PDEs from fine-scale observations via machine learning

Complex spatiotemporal dynamics of physicochemical processes are often modeled at a microscopic level (through e.g. atomistic, agent-based or lattice…
Sep 12, 2019
Computer Vision
Graphics

3D Ken Burns Effect from a Single Image

The Ken Burns effect allows animating still images with a virtual camera scan and zoom. Adding parallax, which results in the 3D Ken Burns effect, en…
Sep 12, 2019
Computation and Language
Information Retrieval
Machine Learning

A Robust Hybrid Approach for Textual Document Classification

Text document classification is an important task for diverse natural language processing based applications. Traditional machine learning approaches…
Sep 12, 2019
Robotics

Tactile-Based Insertion for Dense Box-Packing

We study the problem of using high-resolution tactile sensors to control the insertion of objects in a box-packing scenario. We propose a new system …
Sep 12, 2019
Computation and Language

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Automatic evaluation of text generation tasks (e.g. machine translation, text summarization, image captioning and video description) usually relies h…
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