Hot Tweets

@hardmaru
Some people asked me how I got into machine learning research https://t.co/19vJC0n0xb
2019-10-03 Super Hot
@AndrewYNg
I recently reread Fred Brooks’ classic essay “No Silver Bullet,” as I’ve been thinking about how to reduce the esse… https://t.co/bCDiggixqB
2019-10-03 Super Hot
@ylecun
PyTorch 1.3 is live! Mobile device deployment, model quantization, named tensors, crypto, model interpretability, d… https://t.co/g5MSXMsOat
2019-10-10 Super Hot
@NandoDF
27,600 GPUs, 1/2 PB data, and a neural net with 220,000,000 weights. More please! https://t.co/q6r8g59H1F
2019-10-03 Super Hot
@DeepMindAI
We’ve released pre-trained BigBiGAN representation learning models https://t.co/Rhm94rOuX5 on TF Hub:… https://t.co/9uInS6yXiQ
2019-10-08 Hot
@soumithchintala
It's incredible to see how far @pytorch has come as a community, while preserving our core values of pushing for si… https://t.co/QmtVe620yb
2019-10-11 Hot
@AstroKatie
New paper on the arxiv today! 🎉With postdoc Weikang Lin and grad student Liqiang Hou, looking at whether or not the… https://t.co/2cqT2JuaL2
2019-10-09 Hot
@ylecun
Deep Trouble? I see DC? Baby King? The Deadbeat-les? U2 are compromised? Simple Minds? You're it, Mick? Guns & Lose… https://t.co/yxH0JiEDx6
2019-10-05 Hot
@hardmaru
@HongKongFP via @badiucao https://t.co/KAlhAE4BBU
2019-10-13 Hot
@ylecun
The PyTorch Developer Conference is tomorrow! And it's livestreamed. https://t.co/HdrP134vcK
2019-10-09 Hot
@hardmaru
Is this a mask? https://t.co/mgOFKRip80
2019-10-05 Hot
@DeepMindAI
Machine learning systems are increasingly used to make decisions with far reaching social implications, but they’re… https://t.co/MHxZVnQoWr
2019-10-03 Hot
@ylecun
Video of a debate on AI with Michael Collins, Mike Jordan, Scott Shenker, Jitendra Malik and me. It took place 09/… https://t.co/DrNzi1bqg8
2019-10-06 Hot
@DeepMindAI
In our new paper, we trained an agent on problems requiring systematic generalisation in both top-down grid-worlds… https://t.co/gEeTn6WlWU
2019-10-02 Hot
@ylecun
Hydra: simplifies the configuration, running, and reproducibility of ML experiments. https://t.co/scDFAEpUam
2019-10-12 Hot
@ylecun
PyTorch 1.3 is live! https://t.co/cnEs5BZgtg
2019-10-10 Hot
@hardmaru
U.S. Blacklists 28 Chinese Entities Over Abuses in Xinjiang The list also includes AI, voice recognition & data co… https://t.co/Yv6cINZMom
2019-10-08 Hot
@hardmaru
The latent space of a different era. https://t.co/BJy7H9hfpg
2019-10-11 Hot
@DeepMindAI
Transferability is a major challenge in street navigation. Our work @ICCV19 proposed a cross-view policy learning a… https://t.co/LUAfxfBGm4
2019-10-14 Hot
@hardmaru
@HongKongFP Be water. https://t.co/1NC1IWA1hp
2019-10-13 Hot
@soumithchintala
power asymmetries allow dishonesty and incompetence to survive far longer than they should. Whether that's an inter… https://t.co/nbIaUZavqm
2019-10-02 Hot
@hardmaru
Pretty cool realtime model of Tokyo running in the browser https://t.co/WEphWbxMbn https://t.co/mi2HzNkGiP
2019-10-08 Hot
@hardmaru
Having an understanding of the social sciences is more important than the “hard” sciences for advancing the state o… https://t.co/r0BzuceyQW
2019-10-02 Hot
@AstroKatie
In case you missed it yesterday, my group and I put out a new paper on the Hubble tension -- see thread below and l… https://t.co/0Xu6tjsEkl
2019-10-11 Hot
@hardmaru
On Learning Symmetric Locomotion Inspired by human and animal gaits that are symmetric in nature, they show that e… https://t.co/Aa7Xl8vw0W
2019-10-08 Hot
@DeepMindAI
New work from @arkitus and colleagues: models that learn to draw portraits by trial and error! Animated paper:… https://t.co/IXxydCa4HD
2019-10-04 Hot
@KirkDBorne
🌟📈📊Download this free 185-page PDF — A Comprehensive Guide to #MachineLearning 👉 https://t.co/rEvJ7hNalv ——————————… https://t.co/YEkfTK8d1p
2019-10-05 Hot
@DeepMindAI
In our new blog post, @csilviavr and @wsisaac explain how Causal Bayesian Networks can be used to identify and addr… https://t.co/gATBqVs8BJ
2019-10-03 Hot
@kchonyc
"The traditional declarative programming model of building a graph and executing it via a tf.Session is discouraged… https://t.co/JzbimaHHgw
2019-10-02 Hot
@soumithchintala
Mainstream DL Frameworks have consolidated around PyTorch and TensorFlow, but more centrally around a single philos… https://t.co/QGNxP7Fr9I
2019-10-11 Hot
@KirkDBorne
🌟📈📊Download this free 185-page PDF — A Comprehensive Guide to #MachineLearning 👉 https://t.co/iZsREscT9v ——————————… https://t.co/OEi8Q6XG5K
2019-10-07 Hot
@KirkDBorne
Top #AI Books for reading in 2019: https://t.co/Ij9I7SzR4d —————— #BigData #DataScience #MachineLearning… https://t.co/foAxUeF1RH
2019-10-15 Hot
@hardmaru
I want to see “extra large λ” https://t.co/xh48DtZFjg
2019-10-08 Hot
@KirkDBorne
10-page (PDF) #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning, #DeepLearning, Pr… https://t.co/OZsZyvoW7O
2019-10-10 Hot
@hardmaru
Scientists implant "memories" into bird brains to teach them songs they've never heard https://t.co/ec2zgJFizM… https://t.co/srnE7A2z2u
2019-10-05 Hot
@demishassabis
Proud to be working with universities such as @UniofOxford to bring greater diversity into the AI community, offeri… https://t.co/h9FfEJ8QW1
2019-10-03 Hot
@EricTopol
How do you analyze 11 million single cells from 180 samples, 40 patients (and address different sample preps and ba… https://t.co/d2cIdkQzwj
2019-10-07 Hot
@hardmaru
“Many have watched in awe as a new type of ‘Kong Girl’ emerged out of this year’s protests, as women lobbed back te… https://t.co/NYjlvPlzdd
2019-10-07 Hot
@hardmaru
My take is that if you are an academic researcher working on computer vision, speech, NLP, etc., it’s going to beco… https://t.co/VTGe7LPvkY
2019-10-09 Hot
@hardmaru
To be fair, Reviewer #2 was a really polite person back then ... https://t.co/1Hvd0Oo890
2019-10-12 Hot
@hardmaru
On ML Twitter, you see articles from “TensorFlow in 5 minutes” to “Deep neural network approximations for Monte Car… https://t.co/W5HdCHg2Yl
2019-10-09 Hot
@Reza_Zadeh
Using Graph Theory to study the performance of a soccer team via their "passing network". Higher connectedness as i… https://t.co/Unlxt1JRMq
2019-10-09 Hot
@hardmaru
For those of you thinking about whether your deep learning model will still work in a year. https://t.co/LqIOBVizK6
2019-10-15 Hot
@NandoDF
This is awful misuse of ML tech in the UK. I prefer the alternative distributed approach of engaging with education… https://t.co/6RgzEOWSw7
2019-10-02 Hot
@NandoDF
Two recent works @DeepMindAI on generating embodied behaviour with GANs. https://t.co/WUXE693VXb and… https://t.co/g787jVJKRi
2019-10-06 Hot
@hardmaru
Apple Safari browser sends some user IP addresses to Chinese conglomerate Tencent by default… https://t.co/qmjffeCO97
2019-10-14 Hot
@ylecun
Detectron2: now in PyTorch. Lots of new features, including panoptic segmentation, body pose tracking... https://t.co/8mILDR25kV
2019-10-11 Hot
@hardmaru
Information Closure Theory of Consciousness “We do not have direct experience of information available at the leve… https://t.co/K8Z1bBLTIj
2019-10-07 Hot
@KirkDBorne
Top #AI Books for reading in 2019: https://t.co/Ij9I7SzR4d —————— #BigData #DataScience #MachineLearning… https://t.co/sHmrzHH0f7
2019-10-11 Hot
@hardmaru
Added to reading list. https://t.co/aTlKpc2KA8
2019-10-09 Hot
@hardmaru
These “smart” traffic lights in Shanghai record violations of traffic rules in real time, and (attempt) to recogniz… https://t.co/XjVgqhKJNQ
2019-10-06 Hot
@hardmaru
@Noahpinion Here's another one. Accessing https://t.co/VxCmNmPE6Y from a Hong Kong IP address just returns a 404 er… https://t.co/tL2oQqo5d6
2019-10-10 Hot
@hardmaru
Bootstrapping Conditional GANs for Video Game Level Generation GANs for generating playable and “fun” game levels… https://t.co/XzHURggZ7b
2019-10-07 Hot
@hardmaru
Weird to see these two threads side-by-side. Top 2 stories on https://t.co/0o6VDSwl8t https://t.co/Fqml9ut6BS
2019-10-13 Hot
@xamat
ML medical diagnosis models will be exposed to conditions they haven't been trained on when deployed. How do you ad… https://t.co/mRovzcTdeK
2019-10-08 Hot
@KirkDBorne
10-page (PDF) #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning, #DeepLearning, Pr… https://t.co/SFdD7Rz7Zp
2019-10-03 Hot
@KirkDBorne
One of my all-time favorites >> The Most Complete List of the Best Cheat Sheets for #DataScientists covering #AI… https://t.co/DCiSXHZeFg
2019-10-10 Hot
@NandoDF
The GAN / GAIL idea has started to work for robust off-policy reinforcement learning from pixels. This is now excit… https://t.co/Cc54jpFTuO
2019-10-03 Hot
@ylecun
At the Institute for Advanced Studies in Princeton this week for the workshop "Theory of Deep Learning: Where next?… https://t.co/Q3ZYIwPx3l
2019-10-15 Hot
@RichardSocher
Beauty abounds early in the morning in the alpine valley of Kranjska Gora, #Slovenia. Gorgeous clear blue pond. Chi… https://t.co/pWPV6xC54O
2019-10-11 Hot
@hardmaru
I don't want to see what is happening to Hong Kong happen to the rest of the world. https://t.co/CpqeAP0V0C
2019-10-10 Hot
@hardmaru
Neural Turtle Graphics for Modeling City Road Layouts Are you old enough to remember learning Turtle Graphics and… https://t.co/qv05kDT7dR
2019-10-07 Hot
@hillbig
従来の機械学習の考えでは過学習しない適度な大きさのモデルが最適だが、ある条件下では訓練誤差ゼロからさらにモデルを大きくしたほうがテスト誤差が小さくなる二重降下現象が起きる。NN以外の他の多くのモデルでも起きる… https://t.co/VJkd9kcXD1
2019-10-06 Hot
@NandoDF
🤗 Transformers https://t.co/iLIifwYt4N
2019-10-10 Hot
@hardmaru
Unsupervised Doodling and Painting with Improved SPIRAL “Under the right circumstances, some aspects of human draw… https://t.co/kcLGYmHov6
2019-10-03 Hot
@hardmaru
Chinese educational app “Study the Great Nation” gave the government superuser access to 100M devices. The app was… https://t.co/YYfMA6JTlX
2019-10-13 Hot
@hardmaru
FaceForensics++: Learning to Detect Manipulated Facial Images They propose benchmark for DeepFake detection is bas… https://t.co/cIx4OVrAes
2019-10-07 Hot
@KirkDBorne
Top #AI Books for reading in 2019: https://t.co/Ij9I7SifFD —————— #BigData #DataScience #MachineLearning… https://t.co/XjUppdydHp
2019-10-05 Hot
@KirkDBorne
Learn #MachineLearning online from the best #DataScience courses/tutorials submitted & voted by the #coding communi… https://t.co/D2MhWeOlVu
2019-10-08 Hot
@hardmaru
Japan can be a tough market to crack https://t.co/FJdq0ocsYS
2019-10-12 Hot
@hardmaru
Taiwan flag emoji disappears from latest Apple iPhone keyboard for Hong Kong and Macau users from iOS 13.1.1 Releas… https://t.co/ZhLSn0bYnL
2019-10-05 Hot
@hardmaru
Can't think of a better first tweet from Schmidhuber than a new blog post about work from 1990-1991.
2019-10-04 Hot
@RichardSocher
#paramotor over Bled castle in Slovenia. Love the new perspectives on history and architecture on this short trip.… https://t.co/in4RizKvGv
2019-10-09 Hot
@hardmaru
Deep Learning: Our Miraculous Year 1990-1991 🔥 https://t.co/fdHk5UOZON https://t.co/guLQ7949VP
2019-10-04 Hot
@KirkDBorne
Best #MachineLearning Tools and Frameworks — Experts’ Top Picks: https://t.co/rM8LaC1y4w ——————— #BigData… https://t.co/gHk8d7bAJg
2019-10-06 Hot
@DeepMindAI
Anna is at our #GHC19 stand all morning! If you're in Orlando, introduce yourself. https://t.co/LadcvIriWn
2019-10-03 Hot
@hardmaru
My neural net code written 5 years ago also works just fine https://t.co/0ZkvB7gKKR
2019-10-10 Hot
@NandoDF
Task-Relevant Adversarial Imitation Learning - Learning from pixels is substantially harder than learning from stat… https://t.co/oAWiHqdcn1
2019-10-05 Hot
@AndrewM_Webb
@sirajraval "Partly plagiarized" is disingenuous. The paper is 90% plagiarised from here https://t.co/rGOJkOPlNM an… https://t.co/4ZWrtvhNOq
2019-10-13
@KirkDBorne
J.P.Morgan’s Comprehensive Guide to #MachineLearning (including #Python code for some popular #ML algorithms):… https://t.co/5KvNGHXGeD
2019-10-11

Hot Papers

Neural Turtle Graphics for Modeling City Road Layouts
Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
2019-10-04 Super Hot
Generalized Inner Loop Meta-Learning
Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala
2019-10-03 Super Hot
Unsupervised Doodling and Painting with Improved SPIRAL
John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami
2019-10-02 Super Hot
Neural Puppet: Generative Layered Cartoon Characters
Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge Belongie
2019-10-04 Super Hot
Task-Relevant Adversarial Imitation Learning
Konrad Zolna, Scott Reed, Alexander Novikov, Sergio Gomez Colmenarej, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
2019-10-02 Super Hot
Multi-Stage Pathological Image Classification using Semantic Segmentation
Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada
2019-10-10 Super Hot
OpenVSLAM: A Versatile Visual SLAM Framework
Shinya Sumikura, Mikiya Shibuya, Ken Sakurada
2019-10-02 Hot
A mathematical theory of cooperative communication
Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto
2019-10-07 Hot
Prose for a Painting
Prerna Kashyap, Samrat Phatale, Iddo Drori
2019-10-08 Hot
MetaPix: Few-Shot Video Retargeting
Jessica Lee, Deva Ramanan, Rohit Girdhar
2019-10-10 Hot
Learning Neural Causal Models from Unknown Interventions
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio
2019-10-02 Hot
A Neural Network for Detailed Human Depth Estimation from a Single Image
Sicong Tang, Feitong Tan, Kelvin Cheng, Zhaoyang Li, Siyu Zhu, Ping Tan
2019-10-03 Hot
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler
2019-10-08 Hot
Multi-subject MEG/EEG source imaging with sparse multi-task regression
Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
2019-10-03 Hot
Mapping (Dis-)Information Flow about the MH17 Plane Crash
Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein
2019-10-03 Hot
Executing Instructions in Situated Collaborative Interactions
Alane Suhr, Claudia Yan, Jacob Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi
2019-10-08 Hot
Visual Indeterminacy in Generative Neural Art
Aaron Hertzmann
2019-10-10 Hot
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection
Alexander Wong, Mahmoud Famuori, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung
2019-10-03 Hot
Transformers: State-of-the-art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Jamie Brew
2019-10-09 Hot
Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs
Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko
2019-10-08 Hot
Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution
Younkwan Lee, Jiwon Jun, Yoojin Hong, Moongu Jeon
2019-10-10 Hot
Prescribed Generative Adversarial Networks
Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei, Michalis K. Titsias
2019-10-09 Hot
Embodied Language Grounding with Implicit 3D Visual Feature Representations
Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
2019-10-02 Hot
Linking artificial and human neural representations of language
Jon Gauthier, Roger Levy
2019-10-02 Hot
On the Efficacy of Knowledge Distillation
Jang Hyun Cho, Bharath Hariharan
2019-10-03 Hot
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models
Kathleen C. Fraser, Isar Nejadgholi, Berry De Bruijn, Muqun Li, Astha LaPlante, Khaldoun Zine El Abidine
2019-10-03 Hot
Assistive Gym: A Physics Simulation Framework for Assistive Robotics
Zackory Erickson, Vamsee Gangaram, Ariel Kapusta, C. Karen Liu, Charles C. Kemp
2019-10-10 Hot
Searching for A Robust Neural Architecture in Four GPU Hours
Xuanyi Dong, Yi Yang
2019-10-10 Hot
Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues
Or Levi, Pedram Hosseini, Mona Diab, David A. Broniatowski
2019-10-02 Hot
Spike-based causal inference for weight alignment
Jordan Guerguiev, Konrad P. Kording, Blake A. Richards
2019-10-03 Hot

Fresh Papers

NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma
2019-10-14
Dynamic Attention Networks for Task Oriented Grounding
Soumik Dasgupta, Badri N. Patro, Vinay P. Namboodiri
2019-10-14
The Limited Multi-Label Projection Layer
Brandon Amos, Vladlen Koltun, J. Zico Kolter
2019-10-14
Differentiable MPC for End-to-end Planning and Control
Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter
2019-10-14
A High-Throughput Solver for Marginalized Graph Kernels on GPU
Yu-Hang Tang, Oguz Selvitopi, Doru Popovici, Aydın Buluç
2019-10-14
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
Daniel S. Brown, Wonjoon Goo, Scott Niekum
2019-10-14
Geometrical Regret Matching of Mixed Strategies
Sizhong Lan
2019-10-14
Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans
Erfan Noury, Suria S. Mannil, Robert T. Chang, An Ran Ran, Carol Y. Cheung, Suman S. Thapa, Harsha L. Rao, Srilakshmi Dasari, Mohammed Riyazuddin, Sriharsha Nagaraj, Reza Zadeh
2019-10-14
DeepSearch: Simple and Effective Blackbox Fuzzing of Deep Neural Networks
Fuyuan Zhang, Sankalan Pal Chowdhury, Maria Christakis
2019-10-14
Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning
Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh
2019-10-14
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models
Peter Izsak, Shira Guskin, Moshe Wasserblat
2019-10-14
Learning Multimodal Representations for Unseen Activities
AJ Piergiovanni, Michael S. Ryoo
2019-10-14
Distribution-Aware Coordinate Representation for Human Pose Estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, Ce Zhu
2019-10-14
Organ-based Age Estimation based on 3D MRI Scans
Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang
2019-10-14
Using AI/ML to gain situational understanding from passive networkobservations
D. Verma, S. Calo
2019-10-14
MIM: Mutual Information Machine
Micha Livne, Kevin Swersky, David J. Fleet
2019-10-14
Restoring ancient text using deep learning: a case study on Greek epigraphy
Yannis Assael, Thea Sommerschield, Jonathan Prag
2019-10-14
Real-world attack on MTCNN face detection system
Edgar Kaziakhmedov, Klim Kireev, Grigorii Melnikov, Mikhail Pautov, Aleksandr Petiushko
2019-10-14
Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training
David Stutz, Matthias Hein, Bernt Schiele
2019-10-14
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo
Adam D. Cobb, Atılım Güneş Baydin, Andrew Markham, Stephen J. Roberts
2019-10-14
Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment
Piotr Bojanowski, Onur Celebi, Tomas Mikolov, Edouard Grave, Armand Joulin
2019-10-14
Two-sample Testing Using Deep Learning
Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
2019-10-14 Hot
Uncertainty in Neural Networks: Approximately Bayesian Ensembling
Tim Pearce, Felix Leibfried, Alexandra Brintrup, Mohamed Zaki, Andy Neely
2019-10-14
The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach
Noé Tits, Kevin El Haddad, Thierry Dutoit
2019-10-14
Convolution, attention and structure embedding
Jean-Marc Andreoli
2019-10-14
Designing quantum experiments with a genetic algorithm
Rosanna Nichols, Lana Mineh, Jesús Rubio, Jonathan C. F. Matthews, Paul A. Knott
2019-10-14
A Mask-RCNN Baseline for Probabilistic Object Detection
Phil Ammirato, Alexander C. Berg
2019-10-14
Understanding the Limitations of Variational Mutual Information Estimators
Jiaming Song, Stefano Ermon
2019-10-14
Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT under QoS Constraints
Qingqing Wu, Rui Zhang
2019-10-14
ICPS-net: An End-to-End RGB-based Indoor Camera Positioning System using deep convolutional neural networks
Ali Ghofrani, Rahil Mahdian Toroghi, Sayed Mojtaba Tabatabaie
2019-10-14

reinforcement learning

Quantized Reinforcement Learning (QUARL)
Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Lam, Aleksandra Faust, Vijay Janapa Reddi
2019-10-02
Quantized Reinforcement Learning (QUARL)
Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi
2019-10-04
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
Simon S. Du, Sham M. Kakade, Ruosong Wang, Lin F. Yang
2019-10-07
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
Simon S. Du, Sham M. Kakade, Ruosong Wang, Lin F. Yang
2019-10-09
Meta-Learning for Multi-objective Reinforcement Learning
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
2019-10-07
RLCard: A Toolkit for Reinforcement Learning in Card Games
Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu
2019-10-10 Hot
Policy Poisoning in Batch Reinforcement Learning and Control
Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu
2019-10-13
Natural Language State Representation for Reinforcement Learning
Erez Schwartz, Guy Tennenholtz, Chen Tessler, Shie Mannor
2019-10-02
Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning
Che Wang, Yanqiu Wu, Quan Vuong, Keith Ross
2019-10-10
Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning
Che Wang, Yanqiu Wu, Quan Vuong, Keith Ross
2019-10-05
Discounted Reinforcement Learning is Not an Optimization Problem
Abhishek Naik, Roshan Shariff, Niko Yasui, Richard S. Sutton
2019-10-04
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2019-10-09 Hot
Ctrl-Z: Recovering from Instability in Reinforcement Learning
Vibhavari Dasagi, Jake Bruce, Thierry Peynot, Jürgen Leitner
2019-10-09
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning
Xudong Sun, Bernd Bischl
2019-10-04
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinicius Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis
2019-10-10
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee
2019-10-11 Hot
AI Assisted Annotator using Reinforcement Learning
V. Ratna Saripalli, Gopal Avinash, Charles W. Anderson
2019-10-09
AI Assisted Annotator using Reinforcement Learning
V. Ratna Saripalli, Gopal Avinash, Charles W. Anderson
2019-10-02
Model Imitation for Model-Based Reinforcement Learning
Yueh-Hua Wu, Ting-Han Fan, Peter J. Ramadge, Hao Su
2019-10-02
CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem
Arpan Kusari
2019-10-02 Hot
Federated Transfer Reinforcement Learning for Autonomous Driving
Xinle Liang, Yang Liu, Tianjian Chen, Ming Liu, Qiang Yang
2019-10-14
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
2019-10-09
Benchmarking Batch Deep Reinforcement Learning Algorithms
Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joelle Pineau
2019-10-03
Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning
Kolby Nottingham, Anand Balakrishnan, Jyotirmoy Deshmukh, Connor Christopherson, David Wingate
2019-10-03
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals
Yizheng Zhang, Andre Rosendo
2019-10-08
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning
Xudong Sun, Bernd Bischl
2019-10-10
Efficient Inference and Exploration for Reinforcement Learning
YI Zhu, Jing Dong, Henry Lam
2019-10-12
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
2019-10-10 Hot
Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems
Mingyang Geng, Kele Xu, Yiying Li, Shuqi Liu, Bo Ding, Huaimin Wang
2019-10-05
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
Masashi Okada, Tadahiro Taniguchi
2019-10-07

language

How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages
Marcely Zanon Boito, Aline Villavicencio, Laurent Besacier
2019-10-11
Language Transfer for Early Warning of Epidemics from Social Media
Mattias Appelgren, Patrick Schrempf, Matúš Falis, Satoshi Ikeda, Alison Q O'Neil
2019-10-10 Hot
Federated Learning of N-gram Language Models
Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley
2019-10-08
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
2019-10-10
The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents
Shangmin Guo, Yi Ren, Serhii Havrylov, Stella Frank, Ivan Titov, Kenny Smith
2019-10-11
Is Multilingual BERT Fluent in Language Generation?
Samuel Rönnqvist, Jenna Kanerva, Tapio Salakoski, Filip Ginter
2019-10-09
Spoken Language Identification using ConvNets
Sarthak, Shikhar Shukla, Govind Mittal
2019-10-09 Hot
Linguistic Universals: Language-independent semantic fingerprints
Weinan E, Yajun Zhou
2019-10-10
One-To-Many Multilingual End-to-end Speech Translation
Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi
2019-10-08
Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge
Katharina Kann
2019-10-12
Multilingual Question Answering from Formatted Text applied to Conversational Agents
Wissam Siblini, Charlotte Pasqual, Axel Lavielle, Cyril Cauchois
2019-10-10 Hot
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper, Bryan Catanzaro
2019-10-05
EGG: a toolkit for research on Emergence of lanGuage in Games
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni
2019-10-13
Do We Need Neural Models to Explain Human Judgments of Acceptability?
Wang Jing, M. A. Kelly, David Reitter
2019-10-09
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models
Peter Izsak, Shira Guskin, Moshe Wasserblat
2019-10-14
Contrastive Language Adaptation for Cross-Lingual Stance Detection
Mitra Mohtarami, James Glass, Preslav Nakov
2019-10-04
Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao
2019-10-03
Natural- to formal-language generation using Tensor Product Representations
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
2019-10-05
The merits of Universal Language Model Fine-tuning for Small Datasets -- a case with Dutch book reviews
Benjamin van der Burgh, Suzan Verberne
2019-10-02
Structured Pruning of Large Language Models
Ziheng Wang, Jeremy Wohlwend, Tao Lei
2019-10-10 Hot
The Query Translation Landscape: a Survey
Mohamed Nadjib Mami, Damien Graux, Harsh Thakkar, Simon Scerri, Sören Auer, Jens Lehmann
2019-10-07
Speech-to-speech Translation between Untranscribed Unknown Languages
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
2019-10-05
Speech-to-speech Translation between Untranscribed Unknown Languages
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
2019-10-02 Hot
Quantum Structure in Cognition: Human Language as a Boson Gas of Entangled Words
Diederik Aerts, Lester Beltran
2019-10-05
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation
Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen, Le-Minh Nguyen
2019-10-07
Transformers: State-of-the-art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Jamie Brew
2019-10-09 Hot
Embodied Language Grounding with Implicit 3D Visual Feature Representations
Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
2019-10-02 Hot
Hierarchical Decision Making by Generating and Following Natural Language Instructions
Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis
2019-10-02
Early Prediction of 30-day ICU Re-admissions Using Natural Language Processing and Machine Learning
Zhiheng Li, Xinyue Xing, Bingzhang Lu, Zhixiang Li
2019-10-06
Perturbation Sensitivity Analysis to Detect Unintended Model Biases
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
2019-10-09 Hot