Hot Tweets

@fchollet
I've just released a fairly lengthy paper on defining & measuring intelligence, as well as a new AI evaluation data… https://t.co/EVFWXhSppn
2019-11-06 Super Hot
@hardmaru
Pizza delivery in Hong Kong https://t.co/4X9ga4oVeA
2019-11-13 Super Hot
@hardmaru
Adversarial Attack on Demand “Inspired by the protests, this cap blocks facial recognition when used. Plans are av… https://t.co/J0YOv6k2h7
2019-11-07 Super Hot
@hardmaru
Every user on Colab now gets a P100 GPU 🔥 https://t.co/Esf1LzjB0C
2019-11-11 Super Hot
@hardmaru
@discoverhk Given that all public protests have been made illegal in Hong Kong over the past few months by the gove… https://t.co/tgYqHc55FE
2019-11-07 Super Hot
@ylecun
How your brain invents morality: fantastic interview of neurophilosopher Pat Churchland on the neuro-evolutionary o… https://t.co/uFN5YMRdNz
2019-11-03 Super Hot
@xamat
Time series prediction is clearly a very important problem for @UberEng. Here is a blogpost and a couple of papers… https://t.co/QPjj89xpDC
2019-11-08 Super Hot
@DeepMindAI
Our #AlphaStar research features on the cover of @Nature this week! Read the paper here: https://t.co/Bmj8gWMmwI https://t.co/mzxyKqvp5t
2019-11-13 Super Hot
@NandoDF
The poster has no affiliation because in Guatemala AI research is what committed researchers do at night on their o… https://t.co/0tOArzc7xd
2019-11-12 Super Hot
@karpathy
💻🧠+🌍🌳 recent reads: Green AI vs Red AI https://t.co/KP5H03UM9s and "Tackling Climate Change with Machine Learning"… https://t.co/1da5b8DgbO
2019-11-11 Super Hot
@goodfellow_ian
Colin was a senior research scientist in my team at Google. He's done great technical work, especially on attention… https://t.co/9pudZwJcos
2019-11-13 Super Hot
@yoavgo
This effective 8bit BERT from Intel shows that we can remove a lot out of large transformer LMs, while remaining ac… https://t.co/tdPTaZvelV
2019-11-03 Hot
@hardmaru
What are they training for? https://t.co/p8f9WeixRm
2019-11-10 Hot
@hardmaru
Meanwhile inside the Chinese University of Hong Kong https://t.co/PLh5WnAGPm
2019-11-16 Hot
@DeepMindAI
Out-of-sample generalisation of memory in deep reinforcement learning agents: we demonstrate how two different kind… https://t.co/J6fDtgFwhB
2019-11-04 Hot
@hardmaru
A mental test of mine when I write a paper, is to see whether the paper is also suitable as a “blog post” intended… https://t.co/IF8eEkd2NC
2019-11-12 Hot
@hardmaru
10,000 papers submissions to CVPR The batch size for graduate student descent is getting bigger and bigger! https://t.co/zA54UCbJXe
2019-11-16 Hot
@ylecun
XLM-RoBERTa: Amazing results on XLU and GLUE benchmarks from Facebook AI: large transformer network trained on 2.5T… https://t.co/KPsePKVhzB
2019-11-09 Hot
@AndrewYNg
Since announcing Pie & AI in March, we’ve held events in 16 cities around the world. Let's keep the momentum going!… https://t.co/2dEhhrXoQw
2019-11-05 Hot
@ylecun
How Americans put up with their horrible health insurance non-system is beyond me. No one else in the developed wor… https://t.co/gLjvrGUr7y
2019-11-14 Hot
@kchonyc
thinking about spending 1/2 lecture next spring for ug intro to ml on kalman filter by teaching it as an extension… https://t.co/MalYEDY7OM
2019-11-03 Hot
@NandoDF
It is incredibly transformative when a tech leader like @JeffDean participates at events like @Khipu_AI and… https://t.co/Rzyp69A5KC
2019-11-15 Hot
@RichardSocher
Hypothesis: any general function approximator that is powerful enough (eg has enough parameters) and can be efficie… https://t.co/cioQUld3gt
2019-11-06 Hot
@hardmaru
As a reviewer, it is important to write an encouraging note at the end of your review, even if you choose to reject… https://t.co/wilDswVlX9
2019-11-06 Hot
@kchonyc
slides from my keynote talk at #emnlp2019 https://t.co/TG5nTdTCkj
2019-11-08 Hot
@hardmaru
Like the 1 year Google AI residency https://t.co/NQHvsAkC6h
2019-11-03 Hot
@ylecun
Over 69% of NeurIPS'19 papers that mention using a deep learning framework mention PyTorch. PyTorch is dominant in… https://t.co/ruFbkuMIi5
2019-11-16 Hot
@hardmaru
Kuzushiji-MNIST is now part of a permanent media art exhibition at @Miraikan❗️ https://t.co/qmizR9KF1O… https://t.co/GCBkAan8oU
2019-11-13 Hot
@demishassabis
Honoured to have appeared on the 200th episode of #TheLifeScientific on @BBCRadio4 today to discuss chess, AI, and… https://t.co/oFBncJCRmB
2019-11-05 Hot
@hardmaru
Reporters writing about AI: Do: emphasize the narrowness of today’s AI-powered programs Do: avoid comparisons to… https://t.co/tb6XPdWLNv
2019-11-15 Hot
@hardmaru
六六六 https://t.co/lf4P1B1xRl
2019-11-13 Hot
@hardmaru
We don't deserve machine learning. “Provide a tool that can gauge a person's personality just from an image of the… https://t.co/93uDHgG66p
2019-11-15 Hot
@hardmaru
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor They used TED Talk transcripts with laughter cues… https://t.co/C6Tt4jCSQB
2019-11-05 Hot
@ylecun
Senator Chuck Schumer is pushing for $100B funding in "AI-related fundamental research" over 5 years. "AI-related"… https://t.co/zdwaiquGk2
2019-11-15 Hot
@DeepMindAI
ICYMI: Listen to @demishassabis and @jimalkhalili talk about AI and the future of scientific discovery on the 200th… https://t.co/alrGXJROfT
2019-11-08 Hot
@nntaleb
Yes, formalized here see my paper on Antifragility in medicine https://t.co/EzrlOG4M1J https://t.co/SBZ54RHOFy
2019-11-11 Hot
@hardmaru
“A creature didn’t think in order to move: it just moved, and by moving it discovered the world that then formed th… https://t.co/Uw2CGoQgmM
2019-11-15 Hot
@hardmaru
Joey NMT: A minimalist neural machine translation toolkit based on PyTorch that is specifically designed for novice… https://t.co/9e9dCLak8q
2019-11-05 Hot
@hardmaru
Dancing to Music This paper looks at generating dance from music through a decomposition to composition learning f… https://t.co/pCnfeu2uog
2019-11-07 Hot
@hardmaru
Training for the harsh realities life. https://t.co/vYGRBqfjdG
2019-11-13 Hot
@goodfellow_ian
Unfortunately, I got sick on Friday and was not able to fly to Uruguay. I’ll still do my talk at @Khipu_AI by video… https://t.co/5NgzbMFQXi
2019-11-11 Hot
@Omkar_Raii
#DeepLearning & #AI can significantly expedite radiotherapy treatment process by accurately determining the disease… https://t.co/rV7Fr4W06l
2019-11-05 Hot
@NandoDF
As a Canadian scientist I am appalled at this systematic and perverse denial of visas. @JustinTrudeau’s government… https://t.co/VZnyRVvwx3
2019-11-06 Hot
@KirkDBorne
25 Best Free Datasets for #MachineLearning: https://t.co/GY2kUzUvs7 by @edurekaIN HT @ipfconline1 #AI… https://t.co/Bn2sjIrS6Q
2019-11-07 Hot
@hardmaru
“Upon hearing of the new identity, Terence Tao came up with three independent proofs in two hours.”… https://t.co/7wgX6F4HWY
2019-11-15 Hot
@facebookai
At #EMNLP2019 we’re presenting a live demo of VizSeq, a visual analysis toolkit for text generation tasks. Join us… https://t.co/3NhdBEjV5Z
2019-11-04 Hot
@hardmaru
Visualize a microprocessor in the web browser! https://t.co/YFJuwpMTeZ https://t.co/sK0o81nvu4
2019-11-04 Hot
@hardmaru
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors “We present a detailed study of p… https://t.co/7xmCx57Q4h
2019-11-13 Hot
@ylecun
XLM-R: Amazing results on XLU and GLUE benchmarks from Facebook AI: large transformer network trained on 2.5TB of t… https://t.co/xcDYM5aVna
2019-11-09 Hot
@hardmaru
Word2vec to behavior: morphology facilitates the grounding of language in machines They train robots to act on nat… https://t.co/aGUNeUkR62
2019-11-06 Hot
@hardmaru
Transformers are everywhere @EMNLP2019 It’s getting hard to find LSTMs anymore
2019-11-05 Hot
@NandoDF
⁦@Khipu_AI⁩ https://t.co/RiOqtpnWHy
2019-11-14 Hot
@hardmaru
“I’m going to work on artificial general intelligence.” – John Carmack https://t.co/KEDZnvareU https://t.co/6tuk78hWvd
2019-11-14 Hot
@hardmaru
DeepRacer is a sim2real RL platform that integrates SOTA Deep RL algorithms, simulation engines with OpenAI Gym int… https://t.co/IBAMAUwzVg
2019-11-07 Hot
@RichardSocher
Being able to live off of interest is essentially like universal basic income for rich people.
2019-11-04 Hot
@ylecun
Excellent piece by Tom Wheeler from the Brookings Institution about the fear of AI, with a historical perspective o… https://t.co/yRBvdsYdEt
2019-11-03 Hot
@ylecun
Nice explanations of some key ideas in self-supervised learning by @lilianweng from OpenAI. https://t.co/7L8yyaDWlI
2019-11-12 Hot
@yoavgo
yay! @hila_gonen and @YovaKem 's work just won #CoNLL2019 best paper! we look at what happens to word embeddings i… https://t.co/YKdQFvqWPX
2019-11-04 Hot
@hardmaru
Linking artificial and human neural representations of language “We find that language models with degraded syntac… https://t.co/nv34YMVFwI
2019-11-05 Hot
@hardmaru
It’s better to have skills in addition to deep learning these days. Even in research, it’s advantageous (and less… https://t.co/gztYzLXcm9
2019-11-04 Hot
@hardmaru
“Instead of hardcoding the rules of reasoning or having computers learn to score highly on specific performance met… https://t.co/PJ7txxr6PT
2019-11-07 Hot
@hardmaru
So much has changed in machine learning over the past two years. But at the same time, so little has changed.
2019-11-05 Hot
@NandoDF
Novelist Cormac McCarthy’s tips on how to write a great science paper - If you plan to read a paper today, read thi… https://t.co/ORFVQMyI3C
2019-11-13 Hot
@NandoDF
These organisers are true heroes. Their devotion and hard work, over a long year, has resulted in one of the most p… https://t.co/CnKsv83tpv
2019-11-15 Hot
@hardmaru
Took a break in the afternoon and went for a walk around Chinese University of Hong Kong, a major stronghold for st… https://t.co/ECne3HCDeD
2019-11-06 Hot
@hardmaru
Hongkongers are drawing #PokemonForHK on Twitter Here is a quick refresher on protest symbols: #HongKongProtests… https://t.co/AwOLx4vsnR
2019-11-07 Hot
@NandoDF
Dear @JustinTrudeau @HonAhmedHussen @KirstyDuncanMP @NavdeepSBains @joycemurray @HedyFry The perverse bias in visas… https://t.co/QBIMF7CYPJ
2019-11-07 Hot
@NandoDF
“GANs to learn to translate from one dataset to another, thereby allowing us to effectively enlarge the target data… https://t.co/Bhtjb5tTpQ
2019-11-13 Hot
@ylecun
Element is a company I co-founded with Adam. https://t.co/QMK2tyW26i
2019-11-16 Hot
@hardmaru
I‘m glad to have mentored 2 residents last year on research projects that explore new and interesting directions, a… https://t.co/lvjiT5ikh9
2019-11-08 Hot
@hardmaru
Everybody gets a GPU❗️ https://t.co/GL3PE3HInh
2019-11-11 Hot
@NandoDF
The talk on Causality and Generalization by David Lopez-Paz at ⁦@Khipu_AI⁩ was phenomenal! I highly recommend it to… https://t.co/i2sw9pAbHs
2019-11-15 Hot
@KirkDBorne
This 10-page (PDF) #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/SgfQOV32Eg
2019-11-10 Hot
@NandoDF
Deep learning and black hole physics ⁦@Khipu_AI⁩ https://t.co/E6v7I0GuNh
2019-11-12 Hot
@KirkDBorne
#Jupyter Notebooks — Fundamentals of #MachineLearning and #DeepLearning: https://t.co/0cueGjpYOI —————— #abdsc… https://t.co/l4oRdZDJPk
2019-11-06 Hot
@random_walker
It's shocking how many companies are in this space and how much money they've raised. They are chasing clients aggr… https://t.co/EaC1CU69qA
2019-11-15 Hot
@DeepMindAI
A big congratulations to our very own @obumekeke, who’s featured on the @FT's 100 most influential black, Asian and… https://t.co/HzuMnRcFaN
2019-11-13 Hot
@rivatez
just read @fchollet's new paper.. so cool... 1) a critique of past and current AI benchmarking 2) reexamines the de… https://t.co/yogATzlKSM
2019-11-12 Hot
@NandoDF
Slides for my RL lecture https://t.co/1puIC0oHBA @Khipu_AI Special thanks to @bshahr @FeryalMP @mw_hoffman… https://t.co/TmiDfmiiTI
2019-11-14 Hot
@hardmaru
Evaluating Combinatorial Generalization in Variational Autoencoders “Increasing a VAE's model capacity can either… https://t.co/EfVPMWq4od
2019-11-15 Hot

Hot Papers

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang
2019-11-12 Super Hot
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov
2019-11-05 Super Hot
The Measure of Intelligence
François Chollet
2019-11-05 Super Hot
Learning From Brains How to Regularize Machines
Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias
2019-11-11 Super Hot
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee
2019-11-05 Super Hot
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
Yuan Liu, Zehong Shen, Zhixuan Lin, Sida Peng, Hujun Bao, Xiaowei Zhou
2019-11-14 Hot
Dancing to Music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
2019-11-05 Hot
Amortized Population Gibbs Samplers with Neural Sufficient Statistics
Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent
2019-11-04 Hot
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine, Paul Vicol, David Duvenaud
2019-11-06 Hot
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
Yugang Chen, Muchun Chen, Chaoyue Song, Bingbing Ni
2019-11-14 Hot
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
Shunwang Gong, Lei Chen, Michael Bronstein, Stefanos Zafeiriou
2019-11-13 Hot
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi
2019-11-08 Hot
Unsupervised Pre-training for Natural Language Generation: A Literature Review
Yuanxin Liu, Zheng Lin
2019-11-13 Hot
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning
Diego Ferigo, Silvio Traversaro, Daniele Pucci
2019-11-05 Hot
Gradient-based Adaptive Markov Chain Monte Carlo
Michalis K. Titsias, Petros Dellaportas
2019-11-04 Hot
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine
Weisi Guo
2019-11-11 Hot
Sato: Contextual Semantic Type Detection in Tables
Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çağatay Demiralp, Wang-Chiew Tan
2019-11-14 Hot
RWF-2000: An Open Large Scale Video Database for Violence Detection
Ming Cheng, Kunjing Cai, Ming Li
2019-11-14 Hot
Real-Time Reinforcement Learning
Simon Ramstedt, Christopher Pal
2019-11-11 Hot
Recurrent Neural Network Transducer for Audio-Visual Speech Recognition
Takaki Makino, Hank Liao, Yannis Assael, Brendan Shillingford, Basilio Garcia, Otavio Braga, Olivier Siohan
2019-11-08 Hot
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie, Eduard Hovy, Minh-Thang Luong, Quoc V. Le
2019-11-11 Hot
A Simple Differentiable Programming Language
Martin Abadi, Gordon D. Plotkin
2019-11-11 Hot
Experience-Embedded Visual Foresight
Lin Yen-Chen, Maria Bauza, Phillip Isola
2019-11-12 Hot
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation
Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas Maier
2019-11-06 Hot
Learning to Scaffold the Development of Robotic Manipulation Skills
Lin Shao, Toki Migimatsu, Jeannette Bohg
2019-11-03 Hot
Text classification with pixel embedding
Bin Liu, Guosheng Yin, Wenbin Du
2019-11-11 Hot
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
Yuge Shi, N. Siddharth, Brooks Paige, Philip H. S. Torr
2019-11-08 Hot
Unsupervised Domain Adaptation on Reading Comprehension
Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou
2019-11-13 Hot
How to Evaluate Word Representations of Informal Domain?
Yekun Chai, Naomi Saphra, Adam Lopez
2019-11-12 Hot
Learning to Fix Build Errors with Graph2Diff Neural Networks
Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian
2019-11-04 Hot

Fresh Papers

The Canonical Distortion Measure for Vector Quantization and Function Approximation
Jonathan Baxter
2019-11-14
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi, Zhang
2019-11-14
Real-time Anomaly Detection and Classification in Streaming PMU Data
Christopher Hannon, Deepjyoti Deka, Dong Jin, Marc Vuffray, Andrey Y. Lokhov
2019-11-14
Real-Time Reinforcement Learning
Simon Ramstedt, Christopher Pal
2019-11-14
Sato: Contextual Semantic Type Detection in Tables
Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çağatay Demiralp, Wang-Chiew Tan
2019-11-14 Hot
Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction
Yoonjung Kim, Jeremy C. Weiss
2019-11-14
Parametric Resynthesis with neural vocoders
Soumi Maiti, Michael I Mandel
2019-11-14
Fetal Head and Abdomen Measurement Using Convolutional Neural Network, Hough Transform, and Difference of Gaussian Revolved along Elliptical Path (Dogell) Algorithm
Kezia Irene, Aditya Yudha P., Harlan Haidi, Nurul Faza, Winston Chandra
2019-11-14
Deep Reinforcement Learning for Adaptive Traffic Signal Control
Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar
2019-11-14
Scalable Exact Inference in Multi-Output Gaussian Processes
Wessel P. Bruinsma, Eric Perim, Will Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner
2019-11-14
DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers
Isaac Corley, Jonathan Lwowski, Justin Hoffman
2019-11-14
Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg
2019-11-14
Harnessing spatial MRI normalization: patch individual filter layers for CNNs
Fabian Eitel, Jan Philipp Albrecht, Friedemann Paul, Kerstin Ritter
2019-11-14
LGN-CNN: a biologically inspired CNN architecture
Federico Bertoni, Giovanna Citti, Alessandro Sarti
2019-11-14
A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer
Nga T. T. Nguyen, Garrett T. Kenyon, Boram Yoon
2019-11-14
Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement
Soumi Maiti, Michael I Mandel
2019-11-14
A Deep Patent Landscaping Model using Transformer and Graph Embedding
Seokkyu Choi, Hyeonju Lee, Eunjeong Lucy Park, Sungchul Choi
2019-11-14
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Alistair E. W. Johnson, Tom J. Pollard, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G. Mark, Seth J. Berkowitz, Steven Horng
2019-11-14
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
João Caldeira, Joshua Job, Steven H. Adachi, Brian Nord, Gabriel N. Perdue
2019-11-14
Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA
Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach
2019-11-14 Hot
ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications
Muhammad Alrabeiah, Andrew Hredzak, Zhenhao Liu, Ahmed Alkhateeb
2019-11-14
A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance
Luca Della Libera
2019-11-14
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew Hirn
2019-11-14
Online Learning with Abstention
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
2019-11-14
Lifelong Generative Modeling
Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
2019-11-14
Hierarchical Expert Networks for Meta-Learning
Heinke Hihn, Daniel A. Braun
2019-11-14
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick
2019-11-14
Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems
Aditya Narayan Ravi, Pranav Poduval, Dr. Sharayu Moharir
2019-11-14
The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection
Minjun Kim, Hiroki Sayama
2019-11-14
Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
Hugo Gilbert, Tom Portoleau, Olivier Spanjaard
2019-11-14

reinforcement learning

Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
Simon S. Du, Sham M. Kakade, Ruosong Wang, Lin F. Yang
2019-11-03
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi
2019-11-12
Context-aware Active Multi-Step Reinforcement Learning
Gang Chen, Dingcheng Li, Ran Xu
2019-11-11
Option Compatible Reward Inverse Reinforcement Learning
Rakhoon Hwang, Hanjin Lee, Hyung Ju Hwang
2019-11-07
Learning to reinforcement learn for Neural Architecture Search
J. Gomez Robles, J. Vanschoren
2019-11-09
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
Matt Benatan, Edward O. Pyzer-Knapp
2019-11-08 Hot
Multi-Agent Common Knowledge Reinforcement Learning
Christian A. Schroeder de Witt, Jakob N. Foerster, Gregory Farquhar, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
2019-11-10
Improving reinforcement learning algorithms: towards optimal learning rate policies
Othmane Mounjid, Charles-Albert Lehalle
2019-11-06
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
Xueying Bai, Jian Guan, Hongning Wang
2019-11-10
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
Xueying Bai, Jian Guan, Hongning Wang
2019-11-13
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
2019-11-13
Accelerating Training in Pommerman with Imitation and Reinforcement Learning
Hardik Meisheri, Omkar Shelke, Richa Verma, Harshad Khadilkar
2019-11-12
Accelerating Training in Pommerman with Imitation and Reinforcement Learning
Hardik Meisheri, Omkar Shelke, Richa Verma, Harshad Khadilkar
2019-11-13
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning
Diego Ferigo, Silvio Traversaro, Daniele Pucci
2019-11-05 Hot
Dealing with Sparse Rewards in Reinforcement Learning
Joshua Hare
2019-11-11
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field
Marin Toromanoff, Emilie Wirbel, Fabien Moutarde
2019-11-08
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy
2019-11-05
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach
Pei Yingjun, Hou Xinwen
2019-11-12
Distributional Reward Decomposition for Reinforcement Learning
Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu
2019-11-06
Vision-based Navigation Using Deep Reinforcement Learning
Jonáš Kulhánek, Erik Derner, Tim de Bruin, Robert Babuška
2019-11-09
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tieyan Liu
2019-11-05
Online Robustness Training for Deep Reinforcement Learning
Marc Fischer, Matthew Mirman, Martin Vechev
2019-11-03 Hot
Online Robustness Training for Deep Reinforcement Learning
Marc Fischer, Matthew Mirman, Martin Vechev
2019-11-07
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Leshem Choshen, Lior Fox, Zohar Aizenbud, Omri Abend
2019-11-09
$H_\inf$ Model-free Reinforcement Learning with Robust Stability Guarantee
Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan
2019-11-07
A Reduction from Reinforcement Learning to No-Regret Online Learning
Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoff Gordon
2019-11-14
Reinforcement Learning with Convex Constraints
Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudik, Robert Schapire
2019-11-11
Driving Reinforcement Learning with Models
Pietro Ferraro, Meghana Rathi, Giovanni Russo
2019-11-11
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning
Nicholas C. Landolfi, Garrett Thomas, Tengyu Ma
2019-11-03
Efficient meta reinforcement learning via meta goal generation
Haotian Fu, Hongyao Tang, Jianye Hao
2019-11-10

language

Emergence of Numeric Concepts in Multi-Agent Autonomous Communication
Shangmin Guo
2019-11-04
A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders
Rohit Voleti, Julie M. Liss, Visar Berisha
2019-11-05
Training a code-switching language model with monolingual data
Shun-Po Chuang, Tzu-Wei Sung, Hung-Yi Lee
2019-11-14
BAS: An Answer Selection Method Using BERT Language Model
Jamshid Mozafari, Afsaneh Fatemi, Mohammad Ali Nematbakhsh
2019-11-11
BAS: An Answer Selection Method Using BERT Language Model
Jamshid Mozafari, Afsaneh Fatemi, Mohammad Ali Nematbakhsh
2019-11-04
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training
Hila Gonen, Yoav Goldberg
2019-11-10
Language coverage and generalization in RNN-based continuous sentence embeddings for interacting agents
Luca Celotti, Simon Brodeur, Jean Rouat
2019-11-05
Deepening Hidden Representations from Pre-trained Language Models for Natural Language Understanding
Junjie Yang, Hai Zhao
2019-11-05
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva, Leila Wehbe
2019-11-13
Adversarial Language Games for Advanced Natural Language Intelligence
Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
2019-11-08
Automata Learning: An Algebraic Approach
Henning Urbat, Lutz Schröder
2019-11-03
MLQA: Evaluating Cross-lingual Extractive Question Answering
Patrick Lewis, Barlas Oğuz, Ruty Rinott, Sebastian Riedel, Holger Schwenk
2019-11-07
Adversarial Language Games for Advanced Natural Language Intelligence
Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
2019-11-05 Hot
On Architectures for Including Visual Information in Neural Language Models for Image Description
Marc Tanti, Albert Gatt, Kenneth P. Camilleri
2019-11-09
Shaping Visual Representations with Language for Few-shot Classification
Jesse Mu, Percy Liang, Noah Goodman
2019-11-06
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models
Zhi-Xiu Ye, Qian Chen, Wen Wang, Zhen-Hua Ling
2019-11-12
SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis
Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang
2019-11-06
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models
Zhi-Xiu Ye, Qian Chen, Wen Wang, Zhen-Hua Ling
2019-11-07
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models
Zhi-Xiu Ye, Qian Chen, Wen Wang, Zhen-Hua Ling
2019-11-11
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber
2019-11-08
CamemBERT: a Tasty French Language Model
Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric Villemonte de la Clergerie, Djamé Seddah, Benoît Sagot
2019-11-10
The LIG system for the English-Czech Text Translation Task of IWSLT 2019
Loïc Vial, Benjamin Lecouteux, Didier Schwab, Hang Le, Laurent Besacier
2019-11-07
HDDL -- A Language to Describe Hierarchical Planning Problems
D. Höller, G. Behnke, P. Bercher, S. Biundo, H. Fiorino, D. Pellier, R. Alford
2019-11-13
Emerging Cross-lingual Structure in Pretrained Language Models
Shijie Wu, Alexis Conneau, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov
2019-11-04
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
2019-11-08
A Holistic Natural Language Generation Framework for the Semantic Web
Axel-Cyrille Ngonga Ngomo, Diego Moussallem, Lorenz Bühmann
2019-11-04
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang
2019-11-13 Hot
Emerging Cross-lingual Structure in Pretrained Language Models
Shijie Wu, Alexis Conneau, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov
2019-11-10
Long-span language modeling for speech recognition
Sarangarajan Parthasarathy, William Gale, Xie Chen, George Polovets, Shuangyu Chang
2019-11-11
Machine Translation in Pronunciation Space
Hairong Liu, Mingbo Ma, Liang Huang
2019-11-03