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Oct 21, 2020
Machine Learning
Optimization and Control

Riemannian Langevin Algorithm for Solving Semidefinite Programs

We propose a Langevin diffusion-based algorithm for non-convex optimization and sampling on a product manifold of spheres. Under a logarithmic Sobole…
Oct 21, 2020
Sound
Machine Learning
Audio and Speech Processing

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 21, 2020
Machine Learning
Distributed
Parallel
and Cluster Computing

Decentralized Deep Learning using Momentum-Accelerated Consensus

We consider the problem of decentralized deep learning where multiple agents collaborate to learn from a distributed dataset. While there exist sever…
Oct 21, 2020
Computer Vision

In-the-wild Drowsiness Detection from Facial Expressions

Driving in a state of drowsiness is a major cause of road accidents, resulting in tremendous damage to life and property. Developing robust, automati…
Oct 21, 2020
Robotics

Improving the Iterative Closest Point Algorithm using Lie Algebra

Mapping algorithms that rely on registering point clouds inevitably suffer from local drift, both in localization and in the built map. Applications …
Oct 21, 2020
Computer Vision

3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D …

Point signature, a representation describing the structural neighborhood of a point in 3D shapes, can be applied to establish correspondences between…
Oct 21, 2020
Computer Vision
Machine Learning
Neural and Evolutionary Computation

Black-Box Ripper: Copying black-box models using generative evolution…

We study the task of replicating the functionality of black-box neural models, for which we only know the output class probabilities provided for a s…
Oct 21, 2020
Computation and Language

Cascaded Models With Cyclic Feedback For Direct Speech Translation

Direct speech translation describes a scenario where only speech inputs and corresponding translations are available. Such data are notoriously limit…
Oct 21, 2020
Machine Learning
Artificial Intelligence

Logistic $Q$-Learning

We propose a new reinforcement learning algorithm derived from a regularized linear-programming formulation of optimal control in MDPs. The method is…
Oct 21, 2020
Audio and Speech Processing
Artificial Intelligence
Computation and Language
Machine Learning
Sound

FastEmit: Low-latency Streaming ASR with Sequence-level Emission Re…

Streaming automatic speech recognition (ASR) aims to emit each hypothesized word as quickly and accurately as possible. However, emitting fast withou…
Oct 21, 2020
Computation and Language
Machine Learning

Beyond English-Centric Multilingual Machine Translation

Existing work in translation demonstrated the potential of massively multilingual machine translation by training a single model able to translate be…
Oct 21, 2020
Computation and Language
Artificial Intelligence

Generalized Conditioned Dialogue Generation Based on Pre-trained La…

We investigate the general problem of conditioned dialogue, in which a condition label is used as input to designate the type of the target response …
Oct 21, 2020
Computation and Language
Artificial Intelligence
Human-Computer Interaction

Multi-Domain Dialogue State Tracking based on State Graph

We investigate the problem of multi-domain Dialogue State Tracking (DST) with open vocabulary, which aims to extract the state from the dialogue. Exi…
Oct 21, 2020
Computation and Language
Machine Learning
Sound
Audio and Speech Processing

Sentence Boundary Augmentation For Neural Machine Translation Robustn…

Neural Machine Translation (NMT) models have demonstrated strong state of the art performance on translation tasks where well-formed training and eva…
Oct 21, 2020
Computer Vision

Study of star clusters in the M83 galaxy with a convolutional neural …

We present a study of evolutionary and structural parameters of star cluster candidates in the spiral galaxy M83. For this we use a convolutional neu…
Oct 21, 2020
Computation and Language

DuoRAT: Towards Simpler Text-to-SQL Models

Recent research has shown that neural text-to-SQL models can effectively translate natural language questions into corresponding SQL queries on unsee…
Oct 21, 2020
Computer Vision

UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep …

Stack interchanges are essential components of transportation systems. Mobile laser scanning (MLS) systems have been widely used in road infrastructu…
Oct 21, 2020
Sound
Machine Learning
Multimedia
Audio and Speech Processing

WaveTransformer: A Novel Architecture for Audio Captioning Based on …

Automated audio captioning (AAC) is a novel task, where a method takes as an input an audio sample and outputs a textual description (i.e. a caption)…
Oct 21, 2020
Human-Computer Interaction
Computers and Society

End User Accounts of Dark Patterns as Felt Manipulation

Manipulation defines many of our experiences as a consumer, including subtle nudges and overt advertising campaigns that seek to gain our attention a…
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 …
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