Home      Library      Discussions      About
Join us
Latest Conferences Trending
VISION
LANGUAGE
SOUND
ROBOTICS
OPTICS
GENOMICS
Feb 25, 2020
Machine Learning
Computation and Language
Computer Vision

On Feature Normalization and Data Augmentation

Modern neural network training relies heavily on data augmentation for improved generalization. After the initial success of label-preserving augment…
Feb 25, 2020
Computer Vision

Toward fast and accurate human pose estimation via soft-gated skip …

This paper is on highly accurate and highly efficient human pose estimation. Recent works based on Fully Convolutional Networks (FCNs) have demonstra…
Feb 25, 2020
Machine Learning
Optimization and Control

Causal Inference With Selectively-Deconfounded Data

Given only data generated by a standard confounding graph with unobserved confounder, the Average Treatment Effect (ATE) is not identifiable. To esti…
Feb 25, 2020
Machine Learning
Artificial Intelligence
Robotics

Rewriting History with Inverse RL: Hindsight Inference for Policy I…

Multi-task reinforcement learning (RL) aims to simultaneously learn policies for solving many tasks. Several prior works have found that relabeling p…
Feb 25, 2020
Multimedia
Computer Vision
Image and Video Processing

We introduce the deep watermarking problem for image processing networks for the first time.Inspired by traditional spatial invisible media watermarking, the first deep watermarking framework is proposed. To make it robust to different surrogate mod…

Model Watermarking for Image Processing Networks

Deep learning has achieved tremendous success in numerous industrial applications. As training a good model often needs massive high-quality data and…
Feb 25, 2020
Machine Learning
Information Theory
Statistics Theory

We thank Vaishakh Ravindrakumar, Yi Hao and Jerry Li for helpful discussions and comments in the prepration of this manuscript.

A General Method for Robust Learning from Batches

In many applications, data is collected in batches, some of which are corrupt or even adversarial. Recent work derived optimal robust algorithms for …
Feb 25, 2020
Artificial Intelligence
Machine Learning

Shapley values enjoy mathematically satisfying theoretical properties as a solution to game theory problems. However, applying a game theoretic framework does not automatically solve the problem of feature importance, and our work shows that in fact…

Problems with Shapley-value-based explanations as feature importance …

Game-theoretic formulations of feature importance have become popular as a way to "explain" machine learning models. These methods define a cooperati…
Feb 25, 2020
Signal Processing
Machine Learning

Robust Wireless Fingerprinting: Generalizing Across Space and Time

Can we distinguish between two wireless transmitters sending exactly the same message, using the same protocol? The opportunity for doing so arises d…
Feb 25, 2020
Optimization and Control
Machine Learning

Biased Stochastic Gradient Descent for Conditional Stochastic Optim…

Conditional Stochastic Optimization (CSO) covers a variety of applications ranging from meta-learning and causal inference to invariant learning. How…
Feb 25, 2020
Performance
Machine Learning
Software Engineering

Learning Queuing Networks by Recurrent Neural Networks

It is well known that building analytical performance models in practice is difficult because it requires a considerable degree of proficiency in the…
Feb 25, 2020
Information Retrieval
Computation and Language

Abstractive Snippet Generation

An abstractive snippet is an originally created piece of text to summarize a web page on a search engine results page. Compared to the conventional e…
Feb 25, 2020
Machine Learning

Training Binary Neural Networks using the Bayesian Learning Rule

Neural networks with binary weights are computation-efficient and hardware-friendly, but their training is challenging because it involves a discrete…
Feb 25, 2020
Image and Video Processing
Computer Vision

Fully-automated Body Composition Analysis in Routine CT Imaging Using…

Body tissue composition is a long-known biomarker with high diagnostic and prognostic value in cardiovascular, oncological and orthopaedic diseases, …
Feb 25, 2020
Artificial Intelligence
Machine Learning

Counterfactual fairness: removing direct effects through regularizati…

Building machine learning models that are \textit{fair} with respect to an unprivileged group is a topical problem. Modern fairness-aware algorithms …
Feb 25, 2020
Computation and Language
Machine Learning

Label-guided Learning for Text Classification

Text classification is one of the most important and fundamental tasks in natural language processing. Performance of this task mainly dependents on …
Feb 25, 2020
Computer Vision

ScopeFlow: Dynamic Scene Scoping for Optical Flow

We propose to modify the common training protocols of optical flow, leading to sizable accuracy improvements without adding to the computational comp…
Feb 25, 2020
Optimization and Control
Machine Learning
Numerical Analysis

Can speed up the convergence rate of stochastic gradient methods to …

In this paper we consider the question of whether it is possible to apply a gradient averaging strategy to improve on the sublinear convergence rates…
Feb 25, 2020
Machine Learning

Sequence-to-Sequence Imputation of Missing Sensor Data

Although the sequence-to-sequence (encoder-decoder) model is considered the state-of-the-art in deep learning sequence models, there is little resear…
Feb 25, 2020
Machine Learning
Artificial Intelligence

Teaching the Old Dog New Tricks: Supervised Learning with Constraints

Methods for taking into account external knowledge in Machine Learning models have the potential to address outstanding issues in data-driven AI meth…
Feb 25, 2020
Networking and Internet Architecture
Machine Learning

Network-Density-Controlled Decentralized Parallel Stochastic Gradient…

This paper proposes a communication strategy for decentralized learning on wireless systems. Our discussion is based on the decentralized parallel st…
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