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Nov 08, 2019
Distributed
Parallel
and Cluster Computing
Machine Learning

MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gr…

Stochastic Gradient Descent (SGD) is very useful in optimization problems with high-dimensional non-convex target functions, and hence constitutes an…
Nov 08, 2019
Computation and Language
Machine Learning
Optimization and Control

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Langu…

Transfer learning has fundamentally changed the landscape of natural language processing (NLP) research. Many existing state-of-the-art models are fi…
Nov 08, 2019
Machine Learning
Optimization and Control

Penalty Method for Inversion-Free Deep Bilevel Optimization

Bilevel optimizations are at the center of several important machine learning problems such as hyperparameter tuning, data denoising, few-shot learni…
Nov 08, 2019
Computation and Language
Artificial Intelligence
Machine Learning

ERASER: A Benchmark to Evaluate Rationalized NLP Models

State-of-the-art models in NLP are now predominantly based on deep neural networks that are generally opaque in terms of how they come to specific pr…
Nov 08, 2019
Machine Learning
Systems and Control

Statistical Learning for Analysis of Networked Control Systems over …

Recent control trends are increasingly relying on communication networks and wireless channels to close the loop for Internet-of-Things applications.…
Nov 08, 2019
Robotics

Haptic Teleoperation of UAVs through Control Barrier Functions

This paper presents a novel approach to haptic teleoperation. Specifically, we use control barrier functions (CBFs) to generate force feedback to hel…
Nov 08, 2019
Applications
Machine Learning

Convex Hierarchical Clustering for Graph-Structured Data

Convex clustering is a recent stable alternative to hierarchical clustering. It formulates the recovery of progressively coalescing clusters as a reg…
Nov 08, 2019
Machine Learning
Information Theory
Neural and Evolutionary Computation
Signal Processing

Inference with Deep Generative Priors in High Dimensions

Deep generative priors offer powerful models for complex-structured data, such as images, audio, and text. Using these priors in inverse problems typ…
Nov 08, 2019
Computation and Language

Question Generation from Paragraphs: A Tale of Two Hierarchical Models

Automatic question generation from paragraphs is an important and challenging problem, particularly due to the long context from paragraphs. In this …
Nov 08, 2019
Machine Learning

Theoretical Guarantees for Model Auditing with Finite Adversaries

Privacy concerns have led to the development of privacy-preserving approaches for learning models from sensitive data. Yet, in practice, even models …
Nov 08, 2019
Neural and Evolutionary Computation

A New Interactive Mathematical Modeling -- Artificial Neural Network …

One of the most common and universal problems in science is to investigate a function. The prediction can be made by an Artificial Neural Network (AN…
Nov 08, 2019
Machine Learning

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Ge…

Learning generative models that span multiple data modalities, such as vision and language, is often motivated by the desire to learn more useful, ge…
Nov 08, 2019
Computer Vision

Deep, robust and single shot 3D multi-person human pose estimation in…

In this paper, we propose a new single shot method for multi-person 3D human pose estimation in complex images. The model jointly learns to locate th…
Nov 08, 2019
Artificial Intelligence

A different take on the best-first game tree pruning algorithms

The alpha-beta pruning algorithms have been popular in game tree searching ever since they were discovered. Numerous enhancements are proposed in lit…
Nov 08, 2019
Computation and Language

Low-Level Linguistic Controls for Style Transfer and Content Preser…

Despite the success of style transfer in image processing, it has seen limited progress in natural language generation. Part of the problem is that c…
Nov 08, 2019
Computation and Language
Artificial Intelligence
Machine Learning

Investigation of Error Simulation Techniques for Learning Dialog Po…

Training dialog policies for speech-based virtual assistants requires a plethora of conversational data. The data collection phase is often expensive…
Nov 08, 2019
Computer Vision

Automatic Identification of Traditional Colombian Music Genres based …

Colombia has a diversity of genres in traditional music, which allows to express the richness of the Colombian culture according to the region. This …
Nov 08, 2019
Robotics

LiDAR Enhanced Structure-from-Motion

Although Structure-from-Motion (SfM) as a maturing technique has been widely used in many applications, state-of-the-art SfM algorithms are still not…
Nov 08, 2019
Computation and Language
Artificial Intelligence

Ask to Learn: A Study on Curiosity-driven Question Generation

We propose a novel text generation task, namely Curiosity-driven Question Generation. We start from the observation that the Question Generation task…
Nov 08, 2019
Neural and Evolutionary Computation
Machine Learning

Feature discriminativity estimation in CNNs for transfer learning

The purpose of feature extraction on convolutional neural networks is to reuse deep representations learnt for a pre-trained model to solve a new, po…
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