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21007
papertalks found
25/04/2020
Self-Interruptions of Non-Driving Related Tasks in Automated Vehicles: Mobile vs Head-Up Display
Michael Gerber
,
Ronald Schroeter
,
Li Xiaomeng
,
Mohammed Elhenawy
Keywords
Abstract
Paper
conditionally automated vehicles
,
self-interruption
,
attention management
,
non-driving related task
,
task engagement
,
human-automation interaction
11:46
09/07/2020
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise
Maksim Kaledin
,
Eric Moulines
,
Alexey Naumov
and
Vladislav Tadic
,
Hoi-To Wai
Keywords
Abstract
Paper
Stochastic optimization
,
Reinforcement learning
12:29
03/05/2021
Robust Pruning at Initialization
Soufiane Hayou
,
Jean-Francois Ton
,
Arnaud Doucet
,
Yee Whye Teh
Keywords
Abstract
Paper
Pruning
,
Compression
,
Initialization
4:07
22/06/2020
A polynomial lower bound on adaptive complexity of submodular maximization
Wenzheng Li
,
Paul Liu
,
Jan Vondrák
Keywords
Abstract
Paper
submodular
,
optimization
,
symmetry gap
,
lower bound
,
adaptive model
24:00
08/07/2020
Near Optimal Algorithm for the Directed Single Source Replacement Paths Problem
Ofer Magen
,
Shiri Chechik
Keywords
Abstract
Paper
Fault tolerance
,
Replacement Paths
,
Combinatorial algorithms
,
Conditional lower bounds
25:12
14/06/2020
Modeling Biological Immunity to Adversarial Examples
Edward Kim
,
Jocelyn Rego
,
Yijing Watkins
,
Garrett T. Kenyon
Keywords
Abstract
Paper
adversarial examples
,
sparse coding
,
retina
,
cortex
,
neuron
,
biology
,
robust
,
feedback
1:01
06/12/2021
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
Nick Doudchenko
,
Khashayar Khosravi
,
Jean Pouget-Abadie
and
Sébastien Lahaie
,
Miles Lubin
,
Vahab Mirrokni
,
Jann Spiess
,
guido imbens
Keywords
Abstract
Paper
optimization
,
causality
14:47
08/07/2020
On Packing Low-Diameter Spanning Trees
Julia Chuzhoy
,
Merav Parter
,
Zihan Tan
Keywords
Abstract
Paper
Spanning tree
,
packing
,
edge-connectivity
23:24
15/06/2020
SmartTrack: Efficient predictive race detection
Jake Roemer
,
Kaan Genç
,
Michael D. Bond
Keywords
Abstract
Paper
dynamic predictive analysis
,
Data race detection
15:38
06/12/2021
Error Compensated Distributed SGD Can Be Accelerated
Xun Qian
,
Peter Richtarik
,
Tong Zhang
Keywords
Abstract
Paper
machine learning
8:18
18/07/2021
The Lipschitz Constant of Self-Attention
Hyunjik Kim
,
George Papamakarios
,
Andriy Mnih
Keywords
Abstract
Paper
Theory
,
Deep learning Theory
5:22
02/11/2020
Group masked autoencoder based density estimator for audio anomaly detection
Ritwik Giri
,
Fangzhou Cheng
,
Karim Helwani
and
Srikanth V. Tenneti
,
Umut Isik
,
Arvindh Krishnaswamy
Keywords
Abstract
Paper
15:43
14/06/2020
Distribution-Aware Coordinate Representation for Human Pose Estimation
Feng Zhang
,
Xiatian Zhu
,
Hanbin Dai
and
Mao Ye
,
Ce Zhu
Keywords
Abstract
Paper
human pose estimation
,
heatmap representation
,
heatmap-to-coordinate transformation
,
keypoint localization.
0:59
08/12/2020
Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network
Hongjie Cai
,
Yaofeng Tu
,
Xiangsheng Zhou
and
Jianfei Yu
,
Rui Xia
Keywords
Abstract
Paper
13:39
06/12/2020
Factorizable Graph Convolutional Networks
Yiding Yang
,
Zunlei Feng
,
Mingli Song
,
Xinchao Wang
Keywords
Abstract
Paper
3:08
07/09/2020
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter
Zhengyu Zhao
,
Zhuoran Liu
,
Martha Larson
Keywords
Abstract
Paper
adversarial examples
,
color filter
,
image enhancement
,
image quality
,
transferability
,
deep neural networks
4:57
02/06/2020
The Knowledge Graph Track at OAEI
Sven Hertling
,
Heiko Paulheim
Keywords
Abstract
Paper
26:00
02/02/2021
Discovering New Intents with Deep Aligned Clustering
Hanlei Zhang
,
Hua Xu
,
Ting-En Lin
,
Rui Lyu
Keywords
Abstract
Paper
11:59
06/12/2021
Fast and accurate randomized algorithms for low-rank tensor decompositions
Linjian Ma
,
Edgar Solomonik
Keywords
Abstract
Paper
optimization
12:52
25/07/2020
A heterogeneous graph neural model for cold-start recommendation
Siwei Liu
,
Iadh Ounis
,
Craig Macdonald
,
Zaiqiao Meng
Keywords
Abstract
Paper
recommendation
,
graph neural network
,
collaborative filtering
13:24
18/07/2021
PAPRIKA: Private Online False Discovery Rate Control
Wanrong Zhang
,
Gautam Kamath
,
Rachel Cummings
Keywords
Abstract
Paper
Algorithms
,
Meta-Learning
,
Algorithms
,
Multitask and Transfer Learning
,
Social Aspects of Machine Learning
,
Privacy
,
Anonymity
,
and Security
5:03
12/07/2020
Fairwashing explanations with off-manifold detergent
Christopher Anders
,
Ann-Kathrin Dombrowski
,
Klaus-robert Mueller
and
Pan Kessel
,
Plamen Pasliev
Keywords
Abstract
Paper
Accountability
,
Transparency and Interpretability
15:05
06/12/2021
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
Chengshuai Shi
,
Haifeng Xu
,
Wei Xiong
,
Cong Shen
Keywords
Abstract
Paper
reinforcement learning and planning
,
bandits
14:00
06/12/2021
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights
Dong Quan Vu
,
Kimon Antonakopoulos
,
Panayotis Mertikopoulos
Keywords
Abstract
Paper
theory
10:19
19/04/2021
Leveraging end-to-end ASR for endangered language documentation: An empirical study on yolóxochitl Mixtec
Jiatong Shi
,
Jonathan D. Amith
,
Rey Castillo Garcı́a
and
Esteban Guadalupe Sierra
,
Kevin Duh
,
Shinji Watanabe
Keywords
Abstract
Paper
11:23
06/12/2020
Synthetic Data Generators -- Sequential and Private
Olivier Bousquet
,
Roi Livni
,
Shay Moran
Keywords
Abstract
Paper
Algorithms -> Stochastic Methods; Deep Learning -> Optimization for Deep Networks
,
Optimization -> Stochastic Optimization
3:15
03/08/2020
Brief announcement: Why extension-based proofs fail
Dan Alistarh
,
James Aspnes
,
Faith Ellen
and
Rati Gelashvili
,
Leqi Zhu
Keywords
Abstract
Paper
impossibility proofs
,
set agreement
,
valency arguments
8:45
06/12/2020
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
,
Evgenia Rusak
,
Luisa Eck
and
Oliver Bringmann
,
Wieland Brendel
,
Matthias Bethge
Keywords
Abstract
Paper
3:29
02/02/2021
Modeling Deep Learning Based Privacy Attacks on Physical Mail
Bingyao Huang
,
Ruyi Lian
,
Dimitris Samaras
,
Haibin Ling
Keywords
Abstract
Paper
14:31
02/02/2021
Sparsity Aware Normalization for GANs
Idan Kligvasser
,
Tomer Michaeli
Keywords
Abstract
Paper
17:09
03/05/2021
Understanding the effects of data parallelism and sparsity on neural network training
Namhoon Lee
,
Thalaiyasingam Ajanthan
,
Philip Torr
,
Martin Jaggi
Keywords
Abstract
Paper
sparsity
,
neural network training
,
data parallelism
4:52
02/02/2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
Kun-Peng Ning
,
Lue Tao
,
Songcan Chen
,
Sheng-Jun Huang
Keywords
Abstract
Paper
16:10
06/12/2020
Adapting to Misspecification in Contextual Bandits
Dylan Foster
,
Claudio Gentile
,
Mehryar Mohri
,
Julian Zimmert
Keywords
Abstract
Paper
3:05
06/12/2021
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks
Woochul Kang
,
Daeyeon Kim
Keywords
Abstract
Paper
deep learning
,
machine learning
,
vision
13:17
04/07/2020
A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation
Raúl Vázquez
,
Alessandro Raganato
,
Mathias Creutz
,
Jörg Tiedemann
Keywords
Abstract
Paper
Multilingual Translation
,
Neural translation
,
transfer learning
,
translation
14:05
15/11/2020
Shiftry: RNN Inference in 2KB of RAM
Aayan Kumar
,
Vivek Seshadri
,
Rahul Sharma
Keywords
Abstract
Paper
Programming language
,
Fixed-point
,
Memory management
,
Machine learning
,
Embedded devices
,
Compiler
,
IoT device
16:06
12/07/2020
A distributional view on multi objective policy optimization
Abbas Abdolmaleki
,
Sandy Huang
,
Leonard Hasenclever
and
Michael Neunert
,
Martina Zambelli
,
Murilo Martins
,
Francis Song
,
Nicolas Heess
,
Raia Hadsell
,
Martin Riedmiller
Keywords
Abstract
Paper
Reinforcement Learning - Deep RL
15:04
06/12/2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park
,
Anas Awadalla
,
Tadayoshi Kohno
,
Shwetak Patel
Keywords
Abstract
Paper
deep learning
,
machine learning
10:16
14/06/2020
Hypergraph Attention Networks for Multimodal Learning
Eun-Sol Kim
,
Woo Young Kang
,
Kyoung-Woon On
and
Yu-Jung Heo
,
Byoung-Tak Zhang
Keywords
Abstract
Paper
multimodal learning
,
graph neural network
,
deep learning
,
visual question answering
,
graph question answering
,
bilinear attention mechanism
1:01
03/05/2021
Conservative Safety Critics for Exploration
Homanga Bharadhwaj
,
Aviral Kumar
,
Nicholas Rhinehart
and
Sergey Levine
,
Florian Shkurti
,
Animesh Garg
Keywords
Abstract
Paper
Safe exploration
,
Reinforcement Learning
5:14
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