Home      Library      Discussions      About
Join us
Latest Conferences Trending
VISION
LANGUAGE
SOUND
ROBOTICS
OPTICS
GENOMICS
Oct 23, 2020
Machine Learning

Online Semi-Supervised Learning with Bandit Feedback

We formulate a new problem at the intersectionof semi-supervised learning and contextual bandits,motivated by several applications including clini-ca…
Oct 23, 2020
Computer Vision

Object-aware Feature Aggregation for Video Object Detection

We present an Object-aware Feature Aggregation (OFA) module for video object detection (VID). Our approach is motivated by the intriguing property th…
Oct 23, 2020
Social and Information Networks
Human-Computer Interaction

Origins of Algorithmic Instabilities in Crowdsourced Ranking

Crowdsourcing systems aggregate decisions of many people to help users quickly identify high-quality options, such as the best answers to questions o…
Oct 23, 2020
Human-Computer Interaction

Eye Tracking Data Collection Protocol for VR for Remotely Located S…

Eye tracking data collection in the virtual reality context is typically carried out in laboratory settings, which usually limits the number of parti…
Oct 23, 2020
Computation and Language

DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictio…

Pre-trained multilingual language models such as mBERT have shown immense gains for several natural language processing (NLP) tasks, especially in th…
Oct 23, 2020
Computation and Language

Customizing Triggers with Concealed Data Poisoning

Adversarial attacks alter NLP model predictions by perturbing test-time inputs. However, it is much less understood whether, and how, predictions can…
Oct 23, 2020
Computation and Language
Machine Learning

On the Transformer Growth for Progressive BERT Training

As the excessive pre-training cost arouses the need to improve efficiency, considerable efforts have been made to train BERT progressively--start fro…
Oct 23, 2020
Machine Learning
Optimization and Control

Train simultaneously, generalize better: Stability of gradient-based …

The success of minimax learning problems of generative adversarial networks (GANs) has been observed to depend on the minimax optimization algorithm …
Oct 23, 2020
Computer Vision
Machine Learning
Quantitative Methods

High-Throughput Image-Based Plant Stand Count Estimation Using Conv…

The future landscape of modern farming and plant breeding is rapidly changing due to the complex needs of our society. The explosion of collectable d…
Oct 23, 2020
Computation and Language

Multilingual BERT Post-Pretraining Alignment

We propose a simple method to align multilingual contextual embeddings as a post-pretraining step for improved zero-shot cross-lingual transferabilit…
Oct 23, 2020
Machine Learning
Information Theory

Quantizing Multiple Sources to a Common Cluster Center: An Asymptotic…

We consider quantizing an $Ld$-dimensional sample, which is obtained by concatenating $L$ vectors from datasets of $d$-dimensional vectors, to a $d$-…
Oct 23, 2020
Machine Learning
Artificial Intelligence
Multiagent Systems
Social and Information Networks

Predicting Infectiousness for Proactive Contact Tracing

The COVID-19 pandemic has spread rapidly worldwide, overwhelming manual contact tracing in many countries and resulting in widespread lockdowns for e…
Oct 23, 2020
Computation and Language

GiBERT: Introducing Linguistic Knowledge into BERT through a Lightwei…

Large pre-trained language models such as BERT have been the driving force behind recent improvements across many NLP tasks. However, BERT is only tr…
Oct 23, 2020
Computation and Language

Neural Passage Retrieval with Improved Negative Contrast

In this paper we explore the effects of negative sampling in dual encoder models used to retrieve passages for automatic question answering. We explo…
Oct 23, 2020
Machine Learning

Automated crater detection with human level performance

Crater cataloging is an important yet time-consuming part of geological mapping. We present an automated Crater Detection Algorithm (CDA) that is com…
Oct 23, 2020
Robotics
Machine Learning

TAMPC: A Controller for Escaping Traps in Novel Environments

We propose an approach to online model adaptation and control in the challenging case of hybrid and discontinuous dynamics where actions may lead to …
Oct 23, 2020
Computation and Language
Artificial Intelligence

Generating Plausible Counterfactual Explanations for Deep Transformer…

Corporate mergers and acquisitions (M&A) account for billions of dollars of investment globally every year, and offer an interesting and challenging …
Oct 23, 2020
Computation and Language

Improving Robustness by Augmenting Training Sentences with Predicat…

Existing NLP datasets contain various biases, and models tend to quickly learn those biases, which in turn limits their robustness. Existing approach…
Oct 23, 2020
Computation and Language

Helping users discover perspectives: Enhancing opinion mining with jo…

Support or opposition concerning a debated claim such as abortion should be legal can have different underlying reasons, which we call perspectives. …
Oct 23, 2020
Machine Learning

A Review of Deep Learning Methods for Irregularly Sampled Medical Tim…

Irregularly sampled time series (ISTS) data has irregular temporal intervals between observations and different sampling rates between sequences. IST…
There aren't more projects

Every arXiv paper needs to be discussed

Request Comment

or Invite via email
You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description