Hot Tweets

@AndrewYNg
Many aspiring AI engineers ask me how to take the next step and join an AI team. This report from @Workera_, a… https://t.co/EJ1OMpEQ1A
2020-01-08 Super Hot
@DeepMindAI
We have 2 papers published in @nature today! 🎉 One describes AlphaFold, which uses deep neural networks to predict… https://t.co/KD402ux3Ie
2020-01-15 Super Hot
@hardmaru
On the Relationship between Self-Attention and Convolutional Layers This work shows that attention layers can perf… https://t.co/ZkwjMh3cD5
2020-01-11 Super Hot
@hardmaru
me trying to read https://t.co/C4T7xWA34V https://t.co/iPwShG5cqh
2020-01-09 Super Hot
@hardmaru
Vim finally usable on a smartphone. https://t.co/N0jKZqwbUU
2020-01-07 Super Hot
@demishassabis
It’s not every day that one gets to celebrate two papers published in the same issue of @Nature! Huge congratulatio… https://t.co/3L3uSnMMc0
2020-01-15 Super Hot
@ylecun
A blog post by @GuillaumeLample and François Charton about their deeply-trained symbolic math system that can compu… https://t.co/qnUKNurvsx
2020-01-14 Super Hot
@hardmaru
The Case for Bayesian Deep Learning ”Bayesian or not, the prior will certainly be imperfect. Avoiding an important… https://t.co/TuOek2ACUt
2020-01-12 Super Hot
@seanmcarroll
What if instead of submitting papers to journals, academics just posted on https://t.co/9T35TWHM8Y or an equivalent… https://t.co/Nb0kNHgeJW
2020-01-14 Super Hot
@hardmaru
Ramanujan’s first letter to G.H. Hardy reminds me of the difficulties faced by independent, often self-taught resea… https://t.co/8gtb2EDvrB
2020-01-13 Super Hot
@demishassabis
Understanding how proteins fold is a fundamental scientific question that could one day help unlock treatments for… https://t.co/4zmkmdD1jZ
2020-01-15 Super Hot
@ylecun
Research at Facebook AI: the year 2019 in review. Papers, datasets, software tools, awards....… https://t.co/EdIP7KaXEm
2020-01-09 Hot
@ylecun
[email protected]: speech recognition engine with transformer-based acoustic model. SOTA on LibriSpeech. Fast inf… https://t.co/KtyR8dhbqa
2020-01-13 Hot
@ylecun
Human intelligence is specialized in different ways from chimps. #NoAGI #HLAI https://t.co/E08w45jdZ7
2020-01-06 Hot
@demishassabis
Proud to see #AlphaGo listed by the @NewScientist as one of the top 10 scientific discoveries of the last decade, a… https://t.co/xNLjP6wdac
2020-01-06 Hot
@ylecun
It is more efficient for evolution to specify the behavior of an intelligent organism by encoding an objective to b… https://t.co/jJbkAtcKMp
2020-01-16 Hot
@demishassabis
Some of @DeepMindAI’s most fascinating work happens at the intersection of AI and neuroscience. Our paper published… https://t.co/Hm0P6SWsHe
2020-01-15 Hot
@hardmaru
Some Hong Kongers are using longer security codes to unlock their phone A 4 digit PIN takes 2 hours to crack, 6 di… https://t.co/rXym29krrW
2020-01-15 Hot
@DeepMindAI
How can we predict and control the collective behaviour of artificial agents? Classical game theory isn't much help… https://t.co/IfLV3yQw5U
2020-01-16 Hot
@hardmaru
@iingwen 「光復香港，時代革命」🔥 https://t.co/csWWTSm779
2020-01-11 Hot
@hardmaru
A Pint of Guinness with LIHKG Pig Beer foam art is the latest thing in beverage beautification 🐷… https://t.co/ujqoCr6Ffs
2020-01-05 Hot
@DeepMindAI
More exciting @Nature news today: an example of how AI and neuroscience continue to propel each other forward. (1/2) https://t.co/ba6ZWjF95o
2020-01-15 Hot
@hardmaru
Amazing Cinematography of “1917” I’m surprised computer rendering wasn’t used to reduce the number of extras neede… https://t.co/ZZ5BvaZbst
2020-01-13 Hot
@hardmaru
Massively parallel MCMC with JAX https://t.co/IHRFy3o1YC https://t.co/BNEgOPDfGA
2020-01-11 Hot
@hardmaru
AMD's 64-core “Threadripper” CPU might be useful for running evolutionary computing or artificial life experiments… https://t.co/1ALlJWbbAV
2020-01-05 Hot
@hardmaru
Patterns produced by neural network with random weights can give us some insights about the system’s inductive bias… https://t.co/li4JsdTyTk
2020-01-06 Hot
@hardmaru
Differentiable Digital Signal Processing The library combines classic signal processing with deep learning, integr… https://t.co/gIF9MRpRkl
2020-01-16 Hot
@hardmaru
Number of CPU cores in my machine 2012: 8 (Intel) 2019: 8 (Intel) 2020: 64 (AMD) 🔥 https://t.co/HLqSPIRmrQ
2020-01-15 Hot
@hardmaru
Ants use the rate at which they meet and smell other ants to decide what to do next. A neuron uses the rate at whic… https://t.co/ADjCS58FLN
2020-01-17 Hot
@MSFTResearch
How does deep learning perform DEEP learning? Microsoft and CMU researchers establish a principle called "backward… https://t.co/YVogQ7ScJU
2020-01-14 Hot
@hardmaru
I wonder how this is going to work. It's like trying to ban exports of encryption algorithms, good luck with that.… https://t.co/vpBmOGLmeh
2020-01-05 Hot
@KirkDBorne
130-page #MachineLearning cheat sheet — classical equations & diagrams, to assist in preparation for job interviews… https://t.co/NDwe3vvhPg
2020-01-13 Hot
@EricTopol
Perhaps the least acknowledged downside of deep neural net #AI models: the carbon footprint But this key preprint i… https://t.co/NQKwpyqMQQ
2020-01-12 Hot
@DeepMindAI
We worked with @harvardbrainsci to show that distributional RL, a recent development in AI research, can provide in… https://t.co/GNEm9bPEIr
2020-01-15 Hot
@DeepMindAI
Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/5b9Cerzvr4
2020-01-16 Hot
@xamat
"Transfusion: Understanding Transfer Learning for Medical Imaging" https://t.co/WYXnwbkNMF - Really interesting pap… https://t.co/jAK5rdfHqo
2020-01-14 Hot
@hardmaru
Norse is a PyTorch based library to work with spiking neural networks. Have examples for MNIST, CIFAR-10, and simpl… https://t.co/Qib83euxRK
2020-01-09 Hot
@DeepMindAI
Read our @nature paper "A distributional code for value in dopamine-based reinforcement learning" online here: https://t.co/YonkuVKFet
2020-01-16 Hot
@hardmaru
PyTorch: An Imperative Style, High-Performance Deep Learning Library Somehow I missed this paper at NeurIPS last m… https://t.co/TRnW7zytMK
2020-01-10 Hot
@hardmaru
Megvii spokesperson discuss their views on how facial recognition technology will change China https://t.co/EbJ8bd0fXE
2020-01-06 Hot
@yoavgo
a HUGE problems in NLP, imo, is that to make actual progress, or to build something which is actually good, you jus… https://t.co/nrYesaj1tS
2020-01-13 Hot
@hardmaru
Reality and simulation converging... https://t.co/YvTl8Lr4ip
2020-01-10 Hot
@ylecun
@jeremyphoward @ngutten @risi1979 @Grady_Booch @yudapearl An SVM is a 2-layer NN in which each layer-1 unit compare… https://t.co/bS1bsFi6rZ
2020-01-11 Hot
@ylecun
@boredyannlecun @fungarymarcus Actually, every computer is already a ConvPuter: a multiplication is nothing but a p… https://t.co/B8ndJDXChe
2020-01-04 Hot
@ylecun
@jeremyphoward @AiWamri The best SSL approaches to learning visual features today use Siamese networks to learn emb… https://t.co/slsRTZbNbp
2020-01-14 Hot
@hardmaru
The Panopticon is a prison designed by philosopher Jeremy Bentham in 1791. The design allows all prisoners to be ob… https://t.co/cjeUlHosng
2020-01-14 Hot
@skdh
Very curious. Not only are the black hole masses that fit to the gravitational wave events higher than expected, th… https://t.co/IRQ7pNW5rW
2020-01-15 Hot
@KirkDBorne
130-page #MachineLearning cheat sheet — classical equations & diagrams, to assist in preparation for job interviews… https://t.co/gDrR1jiarq
2020-01-04 Hot
@KirkDBorne
This 10-page (PDF) #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/VxGDoElfO9
2020-01-09 Hot
@hardmaru
An angry birds version of #HongKongProtests game complete with LIHKG characters and also the Box2D physics engine t… https://t.co/xeJ2HJTJeY
2020-01-16 Hot
@shaka_lulu
Just out! This paper by @IBJIYONGI @iamstarnord @niais @astrocanuck & I proposes paths forward for decolonial astro… https://t.co/kFLV3ggIUM
2020-01-06 Hot
@KirkDBorne
Connections between Neural Networks and Pure #Mathematics (functions of functions): https://t.co/ekp5Nw4saO ——————… https://t.co/8g2Jvp8zIQ
2020-01-12 Hot
@hardmaru
Biotop from Polygonia: Randomly Generated Insect Species https://t.co/tGs4BPbpiG https://t.co/r2tmn3VVc5
2020-01-04 Hot
@hardmaru
If you are interested in working with doodles and sketches rather than just pixel photos, check out this survey of… https://t.co/GkU1dBBrPS
2020-01-14 Hot
@hardmaru
Images created from prime numbers https://t.co/umDLaDCpIz https://t.co/2BiZcFjNnp
2020-01-13 Hot
@hardmaru
Latent space of Ego-period Japan https://t.co/VV3hEYPy8Z
2020-01-05 Hot
@hardmaru
Algorithms to automatically design diverse lifeforms in simulation to perform some desired function, and then trans… https://t.co/yt0dbeAN1a
2020-01-14 Hot
@hardmaru
Is this legal in Las Vegas? Or just “what happens in Vegas stays in Vegas” https://t.co/G2pakkei47
2020-01-10 Hot
@ylecun
The Murdoch/News Corp propaganda & misinformation machine is the common causal variable behind Trump, Boris Johnson… https://t.co/ZIQmgyYqtb
2020-01-13 Hot
@ylecun
Interesting thread with plots on the effect of Reaganomics, trickle-down economics, and lower high-income taxes on… https://t.co/INq7eeeb2y
2020-01-04 Hot
@ylecun
The best SSL approaches to learning visual features today use Siamese networks to learn embeddings. Examples: two r… https://t.co/MpRF5IdvHp
2020-01-14 Hot
@hardmaru
“Being amazed that you can make a human with only 20,000 genes is like being amazed that Shakespeare could write al… https://t.co/euwGbWK12X
2020-01-06 Hot
@hardmaru
“Carmack describes how this is like a game—as soon as you get an idea you try to defeat it. You'll be able to gener… https://t.co/LyvaWNSNXg
2020-01-12 Hot
@hardmaru
Schmidhuber is quite strict about specifying the exact dimensions for each variable in every equation https://t.co/BzupMe9YH1
2020-01-09 Hot
@hardmaru
Procedurally generated bugs in a browser https://t.co/rGZqOrWReL https://t.co/pHJBmAbjxH
2020-01-05 Hot
@ylecun
@yudapearl DL is methodology: building a model by assembling parameterized modules into (possibly dynamic) graphs a… https://t.co/JvggUfOK97
2020-01-09 Hot
@russpoldrack
"we show that this overcitation of men and undercitation of women is driven largely by the citation practices of me… https://t.co/ar9zkIWRp9
2020-01-07 Hot
@hardmaru
Self-attention is proving to be a really good unified prior for both image and sequence processing. It can prob al… https://t.co/TB4yUILjzE
2020-01-11 Hot
@hardmaru
Multi-Graph Transformer for Free-Hand Sketch Recognition They propose representing sketches (eg QuickDraw doodles… https://t.co/Zrpo3iIJfR
2020-01-09 Hot
@hardmaru
When Adam Gaier first tried to test weight agnostic neural networks using random weights, we didn’t get any good re… https://t.co/QmsoACIYWj
2020-01-12 Hot
@hardmaru
An online textbook on complex analysis with p5.js interactive demos! https://t.co/5cR3EZZmem
2020-01-08 Hot
@KirkDBorne
Learn #MachineLearning Basics with an 18-page Glossary (downloadable PDF) ➕ this Mindmap: https://t.co/2tbBQMfdLP… https://t.co/YnZjFeSV0f
2020-01-04 Hot
@ylecun
No. https://t.co/nbNuY3SQXA
2020-01-07 Hot
@RichardSocher
Full Salesforce Research Keynote! It includes easy to understand explanations and demos of our work on translating… https://t.co/Q0mBVsCThX
2020-01-16 Hot
@hardmaru
DiffTaichi: Differentiable Programming for Physical Simulation (ICLR 2020) is open sourced. “Differentiable progra… https://t.co/5L2aC2QEU2
2020-01-06 Hot
@NandoDF
I think it is clear that no AI we have at present can create life supporting systems on Mars, nor create new knowle… https://t.co/gDn9anxwlV
2020-01-09 Hot
@hardmaru
Notes on Technical Writing https://t.co/ZMs9D2QBaM https://t.co/Arozi14vuC
2020-01-05 Hot
@hardmaru
“It is very sad indeed that such brilliant people, including a highly respected Kaggle Grandmaster, have gone to su… https://t.co/qbTlhtrW1w
2020-01-15 Hot
@KirkDBorne
Will #AI Force Humans to Become More Human? https://t.co/zniLTp2REj by @schmarzo ——————— #BigData #DataScience… https://t.co/V2tX9ojDAz
2020-01-09 Hot
@NandoDF
Absolutely agree! The 10’s was a remarkably transformative decade for AI. Of course, there’s much more to do, but a… https://t.co/ofvnp1xUNS
2020-01-12 Hot

Hot Papers

Everybody's Talkin': Let Me Talk as You Want
Linsen Song, Wayne Wu, Chen Qian, Ran He, Chen Change Loy
2020-01-15 Super Hot
Backward Feature Correction: How Deep Learning Performs Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
2020-01-13 Super Hot
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
Xi Yan, David Acuna, Sanja Fidler
2020-01-09 Super Hot
Streaming automatic speech recognition with the transformer model
Niko Moritz, Takaaki Hori, Jonathan Le Roux
2020-01-08 Hot
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo
2020-01-09 Hot
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling
Bas van Opheusden, Luigi Acerbi, Wei Ji Ma
2020-01-12 Hot
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler
2020-01-06 Hot
Poly-time universality and limitations of deep learning
Emmanuel Abbe, Colin Sandon
2020-01-07 Hot
ImagineNet: Restyling Apps Using Neural Style Transfer
Michael H. Fischer, Richard R. Yang, Monica S. Lam
2020-01-14 Hot
Reformer: The Efficient Transformer
Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya
2020-01-13 Hot
Learning Generative Models using Denoising Density Estimators
Siavash A. Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker
2020-01-08 Hot
How to trap a gradient flow
Sébastien Bubeck, Dan Mikulincer
2020-01-09 Hot
Can Giraffes Become Birds? An Evaluation of Image-to-image Translation for Data Generation
Daniel V. Ruiz, Gabriel Salomon, Eduardo Todt
2020-01-10 Hot
Anomaly Detection with Density Estimation
Benjamin Nachman, David Shih
2020-01-14 Hot
Paraphrase Generation with Latent Bag of Words
Yao Fu, Yansong Feng, John P. Cunningham
2020-01-07 Hot
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
Liming Jiang, Wayne Wu, Ren Li, Chen Qian, Chen Change Loy
2020-01-09 Hot
Explainable Deep Convolutional Candlestick Learner
Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
2020-01-08 Hot
Image Segmentation Using Deep Learning: A Survey
Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos
2020-01-15 Hot
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
2020-01-14 Hot
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
Farhana Sultana, Abu Sufian, Paramartha Dutta
2020-01-13 Hot
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino
2020-01-09 Hot
Temporal Tensor Transformation Network for Multivariate Time Series Prediction
Yuya Jeremy Ong, Mu Qiao, Divyesh Jadav
2020-01-04 Hot
Self-Supervised Fast Adaptation for Denoising via Meta-Learning
Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
2020-01-09 Hot
HMANet: Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images
Ruigang Niu
2020-01-09 Hot
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method
Pengzhou, Wu, Kenji Fukumizu
2020-01-07 Hot
Considering discrepancy when calibrating a mechanistic electrophysiology model
Chon Lok Lei, Sanmitra Ghosh, Dominic G. Whittaker, Yasser Aboelkassem, Kylie A. Beattie, Chris D. Cantwell, Tammo Delhaas, Charles Houston, Gustavo Montes Novaes, Alexander V. Panfilov, Pras Pathmanathan, Marina Riabiz, Rodrigo Weber dos Santos, Keith Worden, Gary R. Mirams, Richard D. Wilkinson
2020-01-13 Hot
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving
Yanliang Zhu, Deheng Qian, Dongchun Ren, Huaxia Xia
2020-01-08 Hot
Res3ATN -- Deep 3D Residual Attention Network for Hand Gesture Recognition in Videos
Naina Dhingra, Andreas Kunz
2020-01-04 Hot
Resolving the Scope of Speculation and Negation using Transformer-Based Architectures
Benita Kathleen Britto, Aditya Khandelwal
2020-01-09 Hot
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach
Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah
2020-01-09 Hot

Fresh Papers

Knowledge Discovery from Social Media using Big Data provided Sentiment Analysis (SoMABiT)
Mahdi Bohlouli, Jens Dalter, Mareike Dornhöfer, Johannes Zenkert, Madjid Fathi
2020-01-16
Adversarially Guided Self-Play for Adopting Social Conventions
Mycal Tucker, Yilun Zhou, Julie Shah
2020-01-16
Inferring Individual Level Causal Models from Graph-based Relational Time Series
Ryan Rossi, Somdeb Sarkhel, David Arbour, Nesreen Ahmed
2020-01-16 Hot
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks
Wei Hu, Lechao Xiao, Jeffrey Pennington
2020-01-16
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences
Shahab Asoodeh, Jiachun Liao, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar
2020-01-16 Hot
Cross-conformal e-prediction
Vladimir Vovk
2020-01-16 Hot
A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning
Benjamin Ortiz, David Lindenbaum, Joseph Nassar, Brendan Lammers, John Wahl, Robert Mangum, Margaret Smith, Marc Bosch
2020-01-16
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video
Marc Bosch, Joseph Nassar, Benjamin Ortiz, Brendan Lammers, David Lindenbaum, John Wahl, Robert Mangum, Margaret Smith
2020-01-16
Reward Shaping for Reinforcement Learning with Omega-Regular Objectives
E. M. Hahn, M. Perez, S. Schewe, F. Somenzi, A. Trivedi, D. Wojtczak
2020-01-16 Hot
Robust Topological Descriptors for Machine Learning Prediction of Guest Adsorption in Nanoporous Materials
Aditi S. Krishnapriyan, Maciej Haranczyk, Dmitriy Morozov
2020-01-16
#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media
Viet Duong, Phu Pham, Ritwik Bose, Jiebo Luo
2020-01-16
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
Pengchao Han, Shiqiang Wang, Kin K. Leung
2020-01-16
On the Convergence of SARAH and Beyond
Bingcong Li, Meng Ma, Georgios B. Giannakis
2020-01-16
Feature-driven Improvement of Renewable Energy Forecasting and Trading
Miguel Á. Muñoz, Juan M. Morales, Salvador Pineda
2020-01-16
Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence
Jiaju Du, Fanchao Qi, Maosong Sun, Zhiyuan Liu
2020-01-16
On Expert Behaviors and Question Types for Efficient Query-Based Ontology Fault Localization
Patrick Rodler
2020-01-16 Hot
Optimization and Learning with Information Streams: Time-varying Algorithms and Applications
Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden
2020-01-16
Machine learning for total cloud cover prediction
Ágnes Baran, Sebastian Lerch, Mehrez El Ayari, Sándor Baran
2020-01-16 Hot
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld
2020-01-16
Pull out all the stops: Textual analysis via punctuation sequences
Alexandra N. M. Darmon, Marya Bazzi, Sam D. Howison, Mason A. Porter
2020-01-16
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel
2020-01-16 Hot
To regulate or not: a social dynamics analysis of the race for AI supremacy
The Anh Han, Luis Moniz Pereira, Francisco C. Santos, Tom Lenaerts
2020-01-16
Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei
Léo Neufcourt, Yuchen Cao, Samuel Giuliani, Witold Nazarewicz, Erik Olsen, Oleg B. Tarasov
2020-01-16
Neutron drip line in the Ca region from Bayesian model averaging
Léo Neufcourt, Yuchen Cao, Witold Nazarewicz, Erik Olsen, Frederi Viens
2020-01-16
AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates
Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael Muller, Josh Andres, Alexander Gray, Dakuo Wang
2020-01-16
A Survey on Traffic Signal Control Methods
Hua Wei, Guanjie Zheng, Vikash Gayah, Zhenhui Li
2020-01-16
Quantified limits of the nuclear landscape
Léo Neufcourt, Yuchen Cao, Samuel A. Giuliani, Witold Nazarewicz, Erik Olsen, Oleg B. Tarasov
2020-01-16
Road Network and Travel Time Extraction from Multiple Look Angles with SpaceNet Data
Adam Van Etten, Jacob Shermeyer, Daniel Hogan, Nicholas Weir, Ryan Lewis
2020-01-16
Continual Learning for Domain Adaptation in Chest X-ray Classification
Matthias Lenga, Heinrich Schulz, Axel Saalbach
2020-01-16 Hot
Elastic Consistency: A General Consistency Model for Distributed Stochastic Gradient Descent
Dan Alistarh, Bapi Chatterjee, Vyacheslav Kungurtsev
2020-01-16

reinforcement learning

Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
Qilei Zhang, Jinying Lin, Qixin Sha, Bo He, Guangliang Li
2020-01-10
Learning Reusable Options for Multi-Task Reinforcement Learning
Francisco M. Garcia, Chris Nota, Philip S. Thomas
2020-01-06 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
2020-01-11
Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning
Priya Shukla, Hitesh Kumar, G. C. Nandi
2020-01-15
Weakly Supervised Video Summarization by Hierarchical Reinforcement Learning
Yiyan Chen, Li Tao, Xueting Wang, Toshihiko Yamasaki
2020-01-12 Hot
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei, Yue Tan, Shiwen Liu, Kuan Zhuang, Kan Zheng, Xuemin Shen
2020-01-08
Reinforcement Learning with Perturbed Rewards
Jingkang Wang, Yang Liu, Bo Li
2020-01-13
Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware
Kirill Polzounov, Ramitha Sundar, Lee Redden
2020-01-07
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee
2020-01-06
Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints
Manuel Del Verme, Bruno Castro da Silva, Gianluca Baldassarre
2020-01-06
Reinforcement Learning with Goal-Distance Gradient
Kai Jiang, XiaoLong Qin
2020-01-10
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Leshem Choshen, Lior Fox, Zohar Aizenbud, Omri Abend
2020-01-15
Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings
C. Shi, S. Zhang, W. Lu, R. Song
2020-01-13
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning
Dor Livne, Kobi Cohen
2020-01-14
Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function
Jingliang Duan, Yang Guan, Yangang Ren, Shengbo Eben Li, Bo Cheng
2020-01-09 Hot
Snooping Attacks on Deep Reinforcement Learning
Matthew Inkawhich, Yiran Chen, Hai Li
2020-01-15
Population-Guided Parallel Policy Search for Reinforcement Learning
Whiyoung Jung, Giseung Park, Youngchul Sung
2020-01-09
Lipschitz Lifelong Reinforcement Learning
Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman
2020-01-15
MushroomRL: Simplifying Reinforcement Learning Research
Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
2020-01-09
MushroomRL: Simplifying Reinforcement Learning Research
Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
2020-01-04
Reinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic Büchi Automata
Ryohei Oura, Ami Sakakibara, Toshimitsu Ushio
2020-01-14
Reward Shaping for Reinforcement Learning with Omega-Regular Objectives
E. M. Hahn, M. Perez, S. Schewe, F. Somenzi, A. Trivedi, D. Wojtczak
2020-01-16 Hot
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version
Erwan Lecarpentier, Emmanuel Rachelson
2020-01-15
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version
Erwan Lecarpentier, Emmanuel Rachelson
2020-01-10
Reinforcement Learning via Fenchel-Rockafellar Duality
Ofir Nachum, Bo Dai
2020-01-09
Reinforcement Learning via Fenchel-Rockafellar Duality
Ofir Nachum, Bo Dai
2020-01-07
High-speed Autonomous Drifting with Deep Reinforcement Learning
Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu
2020-01-06 Hot
Deep Reinforcement Learning for Active Human Pose Estimation
Erik Gärtner, Aleksis Pirinen, Cristian Sminchisescu
2020-01-07
Certified Adversarial Robustness for Deep Reinforcement Learning
Björn Lütjens, Michael Everett, Jonathan P. How
2020-01-10
Sparse Black-box Video Attack with Reinforcement Learning
Huanqian Yan, Xingxing Wei, Bo Li
2020-01-11

language

A Continuous Space Neural Language Model for Bengali Language
Hemayet Ahmed Chowdhury, Md. Azizul Haque Imon, Anisur Rahman, Aisha Khatun, Md. Saiful Islam
2020-01-11
Co-evolution of language and agents in referential games
Gautier Dagan, Dieuwke Hupkes, Elia Bruni
2020-01-10
Survey on Publicly Available Sinhala Natural Language Processing Tools and Research
Nisansa de Silva
2020-01-13
FlauBERT: Unsupervised Language Model Pre-training for French
Hang Le, Loïc Vial, Jibril Frej, Vincent Segonne, Maximin Coavoux, Benjamin Lecouteux, Alexandre Allauzen, Benoît Crabbé, Laurent Besacier, Didier Schwab
2020-01-09
Can Unconditional Language Models Recover Arbitrary Sentences?
Nishant Subramani, Samuel R. Bowman, Kyunghyun Cho
2020-01-09
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul Christiano, Geoffrey Irving
2020-01-08
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification
Alexander Ruch
2020-01-04
Offensive Language Detection: A Comparative Analysis
Vyshnav M T, Sachin Kumar S, Soman K P
2020-01-09 Hot
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu
2020-01-08
Bi-Decoder Augmented Network for Neural Machine Translation
Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai
2020-01-14
A mathematical model for universal semantics
Weinan E, Yajun Zhou
2020-01-16
Urdu-English Machine Transliteration using Neural Networks
Usman Mohy ud Din
2020-01-12
Dialectal Layers in West Iranian: a Hierarchical Dirichlet Process Approach to Linguistic Relationships
Chundra Aroor Cathcart
2020-01-13 Hot
Multi-task Learning for Low-resource Second Language Acquisition Modeling
Yong Hu, Heyan Huang, Tian Lan, Xiaochi Wei, Yuxiang Nie, Jiarui Qi, Liner Yang, Xian-Ling Mao
2020-01-08
From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules
Nobuhiro Ito, Yuya Suzuki, Akiko Aizawa
2020-01-08
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses
Mingda Li, Weitong Ruan, Xinyue Liu, Luca Soldaini, Wael Hamza, Chengwei Su
2020-01-11
All-in-One Image-Grounded Conversational Agents
Da Ju, Kurt Shuster, Y-Lan Boureau, Jason Weston
2020-01-15
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra
2020-01-16
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments
Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel
2020-01-06
Analyzing Privacy Loss in Updates of Natural Language Models
Shruti Tople, Marc Brockschmidt, Boris Köpf, Olga Ohrimenko, Santiago Zanella-Béguelin
2020-01-14
Stochastic Natural Language Generation Using Dependency Information
Elham Seifossadat, Hossein Sameti
2020-01-12 Hot
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
Suyoung Lee, HyungSeok Han, Sang Kil Cha, Sooel Son
2020-01-13 Hot
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
Suyoung Lee, HyungSeok Han, Sang Kil Cha, Sooel Son
2020-01-14
Transformer-based language modeling and decoding for conversational speech recognition
Kareem Nassar
2020-01-04
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut
2020-01-10
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET
Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
2020-01-08
Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View
Harsh Mehta, Yoav Artzi, Jason Baldridge, Eugene Ie, Piotr Mirowski
2020-01-10
Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning
Michiel van der Meer, Matteo Pirotta, Elia Bruni
2020-01-13 Hot
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
Roei Schuster, Tal Schuster, Yoav Meri, Vitaly Shmatikov
2020-01-14
RTFM: Generalising to Novel Environment Dynamics via Reading
Victor Zhong, Tim Rocktäschel, Edward Grefenstette
2020-01-07