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Oct 21, 2020
Machine Learning
Optimization and Control

It is a pleasure to thank Daniel Park, Ethan Dyer, Edgar Dobriban, and Pokey Rule for a number of insightful conversations about data augmentation. B.H. was partially supported by NSF Grant DMS-1855684 and ONR MURI “Theoretical Foundations of Deep L…

Data augmentation as stochastic optimization

We present a theoretical framework recasting data augmentation as stochastic optimization for a sequence of time-varying proxy losses. This provides …
Oct 21, 2020
Sound
Machine Learning
Audio and Speech Processing

This work was realized during a six-month internship at Logitech.

Joint Blind Room Acoustic Characterization From Speech And Music Sign…

Acoustic environment characterization opens doors for sound reproduction innovations, smart EQing, speech enhancement, hearing aids, and forensics. R…
Oct 20, 2020
Computer Vision
Artificial Intelligence
Machine Learning

SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Stati…

Dense 3D object reconstruction from a single image has recently witnessed remarkable advances, but supervising neural networks with ground-truth 3D s…
Oct 20, 2020
Audio and Speech Processing
Machine Learning
Sound

Pushing the Limits of Semi-Supervised Learning for Automatic Speech …

We employ a combination of recent developments in semi-supervised learning for automatic speech recognition to obtain state-of-the-art results on Lib…
Oct 20, 2020
Machine Learning
Optimization and Control

Dual Averaging is Surprisingly Effective for Deep Learning Optimizati…

First-order stochastic optimization methods are currently the most widely used class of methods for training deep neural networks. However, the choic…
Oct 20, 2020
Computation and Language

Natural Language Inference with Mixed Effects

There is growing evidence that the prevalence of disagreement in the raw annotations used to construct natural language inference datasets makes the …
Oct 20, 2020
Computation and Language
Machine Learning

Optimal Subarchitecture Extraction For BERT

We extract an optimal subset of architectural parameters for the BERT architecture from Devlin et al. (2018) by applying recent breakthroughs in algo…
Oct 20, 2020
Computer Vision
Machine Learning

FishNet: A Unified Embedding for Salmon Recognition

Identifying individual salmon can be very beneficial for the aquaculture industry as it enables monitoring and analyzing fish behavior and welfare. F…
Oct 20, 2020
Machine Learning
Artificial Intelligence

Towards Maximizing the Representation Gap between In-Domain \& Out-…

Among existing uncertainty estimation approaches, Dirichlet Prior Network (DPN) distinctly models different predictive uncertainty types. However, fo…
Oct 20, 2020
Machine Learning
Systems and Control
Dynamical Systems

Regret-optimal control in dynamic environments

We consider the control of linear time-varying dynamical systems from the perspective of regret minimization. Unlike most prior work in this area, we…
Oct 20, 2020
Computation and Language

Comparison of Interactive Knowledge Base Spelling Correction Models f…

Spelling normalization for low resource languages is a challenging task because the patterns are hard to predict and large corpora are usually requir…
Oct 20, 2020
Sound
Machine Learning
Audio and Speech Processing

Investigating Cross-Domain Losses for Speech Enhancement

Recent years have seen a surge in the number of available frameworks for speech enhancement (SE) and recognition. Whether model-based or constructed …
Oct 20, 2020
Distributed
Parallel
and Cluster Computing
Artificial Intelligence

Towards Scalable Distributed Training of Deep Learning on Public Clou…

Distributed training techniques have been widely deployed in large-scale deep neural networks (DNNs) training on dense-GPU clusters. However, on publ…
Oct 20, 2020
Computational Geometry
Data Structures and Algorithms
Machine Learning
Numerical Analysis
Optimization and Control

A practical algorithm to calculate Cap Discrepancy

Uniform distribution of the points has been of interest to researchers for a long time and has applications in different areas of Mathematics and Com…
Oct 20, 2020
Computer Vision
Machine Learning

Tilting at windmills: Data augmentation for deep pose estimation does…

Occlusion degrades the performance of human pose estimation. In this paper, we introduce targeted keypoint and body part occlusion attacks. The effec…
Oct 20, 2020
Machine Learning

Semi-parametric $γ$-ray modeling with Gaussian processes and variat…

Mismodeling the uncertain, diffuse emission of Galactic origin can seriously bias the characterization of astrophysical gamma-ray data, particularly …
Oct 20, 2020
Machine Learning

A Lane Merge Coordination Model for a V2X Scenario

Cooperative driving using connectivity services has been a promising avenue for autonomous vehicles, with the low latency and further reliability sup…
Oct 20, 2020
Computation and Language
Artificial Intelligence

ConjNLI: Natural Language Inference Over Conjunctive Sentences

Reasoning about conjuncts in conjunctive sentences is important for a deeper understanding of conjunctions in English and also how their usages and s…
Oct 20, 2020
Computers and Society
Artificial Intelligence
Machine Learning

Where Is the Normative Proof? Assumptions and Contradictions in ML …

Across machine learning (ML) sub-disciplines researchers make mathematical assumptions to facilitate proof-writing. While such assumptions are necess…
Oct 20, 2020
Machine Learning

Variational Dynamic Mixtures

Deep probabilistic time series forecasting models have become an integral part of machine learning. While several powerful generative models have bee…
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