Blog
The latest news from Google AI
Google at ICLR 2018
Sunday, April 29, 2018
Posted by Jeff Dean, Google Senior Fellow, Head of Google Research and Machine Intelligence
This week, Vancouver, Canada hosts the
6th International Conference on Learning Representations
(ICLR 2018), a conference focused on how one can learn meaningful and useful representations of data for
machine learning
. ICLR includes conference and workshop tracks, with invited talks along with oral and poster presentations of some of the latest research on deep learning, metric learning, kernel learning, compositional models, non-linear structured prediction, and issues regarding non-convex optimization.
At the forefront of innovation in cutting-edge technology in
neural networks
and
deep learning
, Google focuses on both theory and application, developing learning approaches to understand and generalize. As Platinum Sponsor of ICLR 2018, Google will have a strong presence with over 130 researchers attending, contributing to and learning from the broader academic research community by presenting papers and posters, in addition to participating on organizing committees and in workshops.
If you are attending ICLR 2018, we hope you'll stop by our booth and chat with our researchers about the projects and opportunities at Google that go into solving interesting problems for billions of people. You can also learn more about our research being presented at ICLR 2018 in the list below (Googlers highlighted in
blue
)
Senior Program Chair:
Tara Sainath
Steering Committee includes:
Hugo Larochelle
Oral Contributions
Wasserstein Auto-Encoders
Ilya Tolstikhin,
Olivier Bousquet
,
Sylvain Gelly
, Bernhard Scholkopf
On the Convergence of Adam and Beyond
(Best Paper Award)
Sashank J. Reddi
,
Satyen Kale
,
Sanjiv Kumar
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
Christian Buck
,
Jannis Bulian
,
Massimiliano Ciaramita
,
Wojciech Gajewski
,
Andrea Gesmundo
,
Neil Houlsby
,
Wei Wang
Beyond Word Importance: Contextual Decompositions to Extract Interactions from LSTMs
W. James Murdoch,
Peter J. Liu
, Bin Yu
Conference Posters
Boosting the Actor with Dual Critic
Bo Dai, Albert Shaw, Niao He,
Lihong Li
, Le Song
MaskGAN: Better Text Generation via Filling in the _______
William Fedus
,
Ian Goodfellow
,
Andrew M. Dai
Scalable Private Learning with PATE
Nicolas Papernot, Shuang Song,
Ilya Mironov
,
Ananth Raghunathan
,
Kunal Talwar
,
Ulfar Erlingsson
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Yujun Lin,
Song Han
, Huizi Mao, Yu Wang, William J. Dally
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Yeming Wen, Paul Vicol, Jimmy Ba,
Dustin Tran
, Roger Grosse
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Adam Roberts
,
Jesse Engel
,
Matt Hoffman
Multi-Mention Learning for Reading Comprehension with Neural Cascades
Swabha Swayamdipta,
Ankur P. Parikh
,
Tom Kwiatkowski
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu,
David Dohan
,
Thang Luong
,
Rui Zhao
,
Kai Chen
,
Mohammad Norouzi
,
Quoc V. Le
Sensitivity and Generalization in Neural Networks: An Empirical Study
Roman Novak
,
Yasaman Bahri
,
Daniel A. Abolafia
,
Jeffrey Pennington
,
Jascha Sohl-Dickstein
Action-dependent Control Variates for Policy Optimization via Stein Identity
Hao Liu, Yihao Feng, Yi Mao,
Dengyong Zhou
, Jian Peng, Qiang Liu
An Efficient Framework for Learning Sentence Representations
Lajanugen Logeswaran,
Honglak Lee
Fidelity-Weighted Learning
Mostafa Dehghani, Arash Mehrjou,
Stephan Gouws
, Jaap Kamps, Bernhard Schölkopf
Generating Wikipedia by Summarizing Long Sequences
Peter J. Liu
,
Mohammad Saleh
,
Etienne Pot
,
Ben Goodrich
,
Ryan Sepassi
,
Lukasz Kaiser
,
Noam Shazeer
Matrix Capsules with EM Routing
Geoffrey Hinton
,
Sara Sabour
,
Nicholas Frosst
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Sergey Levine,
Shixiang Gu
, Murtaza Dalal, Vitchyr Pong
Deep Neural Networks as Gaussian Processes
Jaehoon Lee
,
Yasaman Bahri
,
Roman Novak
,
Samuel L. Schoenholz
,
Jeffrey Pennington
,
Jascha Sohl-Dickstein
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence at Every Step
William Fedus
, Mihaela Rosca, Balaji Lakshminarayanan,
Andrew M. Dai
, Shakir Mohamed,
Ian Goodfellow
Initialization Matters: Orthogonal Predictive State Recurrent Neural Networks
Krzysztof Choromanski
, Carlton Downey, Byron Boots
Learning Differentially Private Recurrent Language Models
H. Brendan McMahan
,
Daniel Ramage
,
Kunal Talwar
,
Li Zhang
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo Mena,
David Belanger
, Scott Linderman,
Jasper Snoek
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
Benjamin Eysenbach
,
Shixiang Gu
,
Julian Ibarz
,
Sergey Levine
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell,
Kevin Swersky
, Josh Tenenbaum,
Hugo Larochelle
, Richard Zemel
Thermometer Encoding: One Hot Way to Resist Adversarial Examples
Jacob Buckman
,
Aurko Roy
,
Colin Raffel
,
Ian Goodfellow
A Hierarchical Model for Device Placement
Azalia Mirhoseini
,
Anna Goldie
,
Hieu Pham
,
Benoit Steiner
,
Quoc V. Le
,
Jeff Dean
Monotonic Chunkwise Attention
Chung-Cheng Chiu
,
Colin Raffel
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee,
Honglak Lee
, Kibok Lee, Jinwoo Shin
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Ofir Nachum
,
Mohammad Norouzi
,
Kelvin Xu
,
Dale Schuurmans
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr,
Alexey Kurakin
,
Nicolas Papernot
,
Ian Goodfellow
, Dan Boneh, Patrick McDaniel
Stochastic Variational Video Prediction
Mohammad Babaeizadeh, Chelsea Finn,
Dumitru
Erhan, Roy Campbell,
Sergey Levine
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser
, Aidan N. Gomez,
Francois Chollet
Don’t Decay the Learning Rate, Increase the Batch Size
Samuel L. Smith
,
Pieter-Jan Kindermans
,
Chris Ying
,
Quoc V. Le
Generative Models of Visually Grounded Imagination
Ramakrishna Vedantam,
Ian Fischer
,
Jonathan Huang
,
Kevin Murphy
Large Scale Distributed Neural Network Training through Online Distillation
Rohan Anil
, Gabriel Pereyra,
Alexandre Passos
,
Robert Ormandi
,
George E. Dahl
,
Geoffrey E. Hinton
Learning a Neural Response Metric for Retinal Prosthesis
Nishal P. Shah
, Sasidhar Madugula, Alan Litke, Alexander Sher, EJ Chichilnisky,
Yoram Singer,
Jonathon Shlens
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
Shankar Krishnan
,
Ying Xiao
,
Rif A. Saurous
A Neural Representation of Sketch Drawings
David Ha
,
Douglas Eck
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
Carlos Riquelme
,
George Tucker
,
Jasper Snoek
Generalizing Hamiltonian Monte Carlo with Neural Networks
Daniel Levy,
Matthew D. Hoffman
,
Jascha Sohl-Dickstein
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Rudy Bunel, Matthew Hausknecht,
Jacob Devlin
, Rishabh Singh, Pushmeet Kohli
On the Discrimination-Generalization Tradeoff in GANs
Pengchuan Zhang, Qiang Liu,
Dengyong Zhou
, Tao Xu, Xiaodong He
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Samuel L. Smith
,
Quoc V. Le
Learning how to Explain Neural Networks: PatternNet and PatternAttribution
Pieter-Jan Kindermans
, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller,
Dumitru Erhan
,
Been Kim
, Sven Dähne
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Víctor Campos,
Brendan Jou
, Xavier Giró-i-Nieto, Jordi Torres, Shih-Fu Chang
Towards Neural Phrase-based Machine Translation
Po-Sen Huang,
Chong Wang
, Sitao Huang,
Dengyong Zhou
, Li Deng
Unsupervised Cipher Cracking Using Discrete GANs
Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama,
Lukasz Kaiser
Variational Image Compression With A Scale Hyperprior
Johannes Ballé
,
David Minnen
,
Saurabh Singh
,
Sung Jin Hwang
,
Nick Johnston
Workshop Posters
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values
Julius Adebayo
,
Justin Gilmer
,
Ian Goodfellow
,
Been Kim
Stoachastic Gradient Langevin Dynamics that Exploit Neural Network Structure
Zachary Nado
,
Jasper Snoek
, Bowen Xu, Roger Grosse, David Duvenaud, James Martens
Towards Mixed-initiative generation of multi-channel sequential structure
Anna Huang
,
Sherol Chen
, Mark J. Nelson,
Douglas Eck
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
Maithra Raghu
,
Alex Irpan
, Jacob Andreas, Robert Kleinberg,
Quoc V. Le
, Jon Kleinberg
GILBO: One Metric to Measure Them All
Alexander Alemi
,
Ian Fischer
HoME: a Household Multimodal Environment
Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat,
Hugo Larochelle,
Aaron Courville
Learning to Learn without Labels
Luke Metz
,
Niru Maheswaranathan
, Brian Cheung,
Jascha Sohl-Dickstein
Learning via Social Awareness: Improving Sketch Representations with Facial Feedback
Natasha Jaques
,
Jesse Engel
,
David Ha
,
Fred Bertsch
, Rosalind Picard,
Douglas Eck
Negative Eigenvalues of the Hessian in Deep Neural Networks
Guillaume Alain,
Nicolas Le Roux
,
Pierre-Antoine Manzagol
Realistic Evaluation of Semi-Supervised Learning Algorithms
Avital Oliver
,
Augustus Odena
,
Colin Raffel
,
Ekin Cubuk
,
lan Goodfellow
Winner's Curse? On Pace, Progress, and Empirical Rigor
D. Sculley
,
Jasper Snoek
,
Alex Wiltschko
,
Ali Rahimi
Meta-Learning for Batch Mode Active Learning
Sachin Ravi,
Hugo Larochelle
To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression
Michael Zhu,
Suyog Gupta
Adversarial Spheres
Justin Gilmer
,
Luke Metz
,
Fartash Faghri
,
Sam Schoenholz
,
Maithra Raghu,
,
Martin Wattenberg
,
Ian Goodfellow
Clustering Meets Implicit Generative Models
Francesco Locatello,
Damien Vincent
, Ilya Tolstikhin, Gunnar Ratsch,
Sylvain Gelly,
Bernhard Scholkopf
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks
Vitalii Zhelezniak, Dan Busbridge, April Shen,
Samuel L. Smith
, Nils Y. Hammerla
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu Trinh
,
Quoc Le
,
Andrew Dai
,
Thang Luong
Graph Partition Neural Networks for Semi-Supervised Classification
Alexander Gaunt,
Danny Tarlow
, Marc Brockschmidt, Raquel Urtasun, Renjie Liao, Richard Zemel
Searching for Activation Functions
Prajit Ramachandran
,
Barret Zoph
,
Quoc Le
Time-Dependent Representation for Neural Event Sequence Prediction
Yang Li, Nan Du
,
Samy Bengio
Faster Discovery of Neural Architectures by Searching for Paths in a Large Model
Hieu Pham, Melody Guan,
Barret Zoph
,
Quoc V. Le
,
Jeff Dean
Intriguing Properties of Adversarial Examples
Ekin Dogus Cubuk
,
Barret Zoph
,
Sam Schoenholz
,
Quoc Le
PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures
Jin-Dong Dong, An-Chieh Cheng,
Da-Cheng Juan
,
Wei Wei
, Min Sun
The Mirage of Action-Dependent Baselines in Reinforcement Learning
George Tucker
,
Surya Bhupatiraju
,
Shixiang Gu
, Richard E. Turner, Zoubin Ghahramani,
Sergey Levine
Learning to Organize Knowledge with N-Gram Machines
Fan Yang,
Jiazhong Nie
, William W. Cohen, Ni Lao
Online variance-reducing optimization
Nicolas Le Roux
, Reza Babanezhad,
Pierre-Antoine Manzagol
Labels
accessibility
ACL
ACM
Acoustic Modeling
Adaptive Data Analysis
ads
adsense
adwords
Africa
AI
AI for Social Good
Algorithms
Android
Android Wear
API
App Engine
App Inventor
April Fools
Art
Audio
Augmented Reality
Australia
Automatic Speech Recognition
AutoML
Awards
BigQuery
Cantonese
Chemistry
China
Chrome
Cloud Computing
Collaboration
Compression
Computational Imaging
Computational Photography
Computer Science
Computer Vision
conference
conferences
Conservation
correlate
Course Builder
crowd-sourcing
CVPR
Data Center
Data Discovery
data science
datasets
Deep Learning
DeepDream
DeepMind
distributed systems
Diversity
Earth Engine
economics
Education
Electronic Commerce and Algorithms
electronics
EMEA
EMNLP
Encryption
entities
Entity Salience
Environment
Europe
Exacycle
Expander
Faculty Institute
Faculty Summit
Flu Trends
Fusion Tables
gamification
Gboard
Gmail
Google Accelerated Science
Google Books
Google Brain
Google Cloud Platform
Google Docs
Google Drive
Google Genomics
Google Maps
Google Photos
Google Play Apps
Google Science Fair
Google Sheets
Google Translate
Google Trips
Google Voice Search
Google+
Government
grants
Graph
Graph Mining
Hardware
HCI
Health
High Dynamic Range Imaging
ICCV
ICLR
ICML
ICSE
Image Annotation
Image Classification
Image Processing
Inbox
India
Information Retrieval
internationalization
Internet of Things
Interspeech
IPython
Journalism
jsm
jsm2011
K-12
Kaggle
KDD
Keyboard Input
Klingon
Korean
Labs
Linear Optimization
localization
Low-Light Photography
Machine Hearing
Machine Intelligence
Machine Learning
Machine Perception
Machine Translation
Magenta
MapReduce
market algorithms
Market Research
Mixed Reality
ML
ML Fairness
MOOC
Moore's Law
Multimodal Learning
NAACL
Natural Language Processing
Natural Language Understanding
Network Management
Networks
Neural Networks
NeurIPS
Nexus
Ngram
NIPS
NLP
On-device Learning
open source
operating systems
Optical Character Recognition
optimization
osdi
osdi10
patents
Peer Review
ph.d. fellowship
PhD Fellowship
PhotoScan
Physics
PiLab
Pixel
Policy
Professional Development
Proposals
Public Data Explorer
publication
Publications
Quantum AI
Quantum Computing
Recommender Systems
Reinforcement Learning
renewable energy
Research
Research Awards
resource optimization
Robotics
schema.org
Search
search ads
Security and Privacy
Self-Supervised Learning
Semantic Models
Semi-supervised Learning
SIGCOMM
SIGMOD
Site Reliability Engineering
Social Networks
Software
Sound Search
Speech
Speech Recognition
statistics
Structured Data
Style Transfer
Supervised Learning
Systems
TensorBoard
TensorFlow
TPU
Translate
trends
TTS
TV
UI
University Relations
UNIX
Unsupervised Learning
User Experience
video
Video Analysis
Virtual Reality
Vision Research
Visiting Faculty
Visualization
VLDB
Voice Search
Wiki
wikipedia
WWW
Year in Review
YouTube
Archive
2020
Jul
Jun
May
Apr
Mar
Feb
Jan
2019
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2018
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2017
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2016
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2015
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2014
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2013
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2012
Dec
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2011
Dec
Nov
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2010
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2009
Dec
Nov
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2008
Dec
Nov
Oct
Sep
Jul
May
Apr
Mar
Feb
2007
Oct
Sep
Aug
Jul
Jun
Feb
2006
Dec
Nov
Sep
Aug
Jul
Jun
Apr
Mar
Feb
Feed
Follow @googleai
Give us feedback in our
Product Forums
.
