Hot Tweets

@AndrewYNg
Chatting with @lexfridman about ML, rise of MOOCs, what’s hard in learning AI, ... was the most fun interview I’ve… https://t.co/Kq3XDP30l1
2020-02-21 Super Hot
@ylecun
How to train a model with 10^11 parameters without running out of GPU memory? Use DeepSpeed from Microsoft Research… https://t.co/7vdDnoojOC
2020-02-10 Super Hot
@ylecun
Three challenges of Deep Learning. From my keynote at AAAI this evening. https://t.co/bVmRFOJHlZ
2020-02-10 Super Hot
@AndrewYNg
Consumer internet companies with 1B+ users have popularized Big Data. But industries like manufacturing, agricultur… https://t.co/oBWEWaPU69
2020-02-12 Super Hot
@DeepMind
Today we are releasing Haiku and RLax, our JAX libraries for neural networks and reinforcement learning. Check them… https://t.co/YcXw86yYKx
2020-02-20 Super Hot
@zacharylipton
Thrilled to release our greatest paper yet in Nature Machine Learning: ***Multimodal Multitask Multidomain Multi-At… https://t.co/k0xMctKrNj
2020-02-09 Super Hot
@OriolVinyalsML
Rapid unsupervised learning progress thanks to contrastive losses, approaching supervised learning! -40% Multitask… https://t.co/R73VU5Ir2b
2020-02-14 Super Hot
@ylecun
My slides: https://t.co/BZZgcTW4jO Video of the talks: https://t.co/Npou9MLZsA - 1:10 in for Geoff Hinton's keynot… https://t.co/5FOofBVmIj
2020-02-10 Hot
@ylecun
Symbolic math without explicit symbol manipulation. As I've said: replace symbols by vectors and logic by continuo… https://t.co/aWuG7z18N9
2020-02-22 Hot
@KirkDBorne
Great Collection of Cheat Sheets for #DataScientists at https://t.co/RVOh3cj6Sc ———— Including a Cheat Sheet on… https://t.co/xZzJDhE9Jr
2020-02-09 Hot
@alex_riveiro
El estudio es M. Amiri, B. Andersen, K. Bandura et al.; "Periodic activity from a fast radio burst source". Está di… https://t.co/111xb7YnCY
2020-02-11 Hot
@MIT_CSAIL
It was an honor to have President @BarackObama kick off MIT's Deep Learning course last week with this intro video.… https://t.co/FUYFCxGgEr
2020-02-20 Hot
@NandoDF
One-Class Classification Algorithms for Imbalanced Datasets https://t.co/uydBQbFDxm
2020-02-15 Hot
@NandoDF
From 1969. Guess the circuit? https://t.co/P4cylr4zyP
2020-02-10 Hot
@ylecun
Indeed. https://t.co/ZWxdOmMWuf
2020-02-16 Hot
@nvidia
The GPU Technology Conference in Silicon Valley is coming up. Tweet the event topic inspiring you, and why, with… https://t.co/94bvrrPxEL
2020-02-20 Hot
@ylecun
Of course not. https://t.co/WIosyFprPL
2020-02-21 Hot
@Omkar_Raii
Shortlisting of leading tech behemoths by @SEBI_India to drive #DataAnalytics project while advancing its analytica… https://t.co/QgtWJqIk9h
2020-02-12 Hot
@KirkDBorne
This 10-page (PDF) #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/aAxlre1QAt
2020-02-09 Hot
@EricTopol
We need new antibiotics to counter resistance. Now @MITdeptofBE's James Collins,@BarzilayRegina @ItsJonStokes… https://t.co/3BkStLGTm0
2020-02-20 Hot
@ylecun
@JeffDean Q:How do computer scientists call a ConvNet trained to classify flowers? A: a bloom filter.
2020-02-12 Hot
@KirkDBorne
Awesome List of the Best Cheat Sheets for #DataScientists — great learning resources for #AI #NeuralNetworks… https://t.co/UB7X2U3uSs
2020-02-10 Hot
@ylecun
Progress in contrastive self-supervised learning. #SSLFTW https://t.co/g9SVAVHR26
2020-02-15 Hot
@KirkDBorne
This 10-page (PDF) #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/79ybmwxiTI
2020-02-20 Hot
@EricTopol
—"We need to make #deeplearning #AI more transparent" —"OK, how about we use it to make organs transparent?" 😉… https://t.co/uOQEWkECxQ
2020-02-19 Hot
@EricTopol
When the #AI draws your blood and put in the IV https://t.co/cqMkIxoZjI @NatMachIntell a 6-fold reduction in faile… https://t.co/LlBDj8ywRx
2020-02-15 Hot
@DeepMind
In order to understand a book, a reader must maintain memories of events and characters over many chapters. We intr… https://t.co/YBu4oPQ9LH
2020-02-10 Hot
@KirkDBorne
Math for #MachineLearning — Open Doors to #DataScience and Artificial Intelligence — get PDF eBook on The… https://t.co/pSpkl3KkEC
2020-02-16 Hot
@johncarlosbaez
The world's expert on snowflakes has written a 540-page book on them. Now he's giving it away for free here:… https://t.co/vF7GZE8jMi
2020-02-09 Hot
@KirkDBorne
20 #DeepLearning Data Sets for Every #DataScientist: https://t.co/d9p2RWMJu9 —————— #abdsc #BigData #DataScience… https://t.co/tUwrdXB0SF
2020-02-13 Hot
@KirkDBorne
This 10-page (PDF) #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/E3wdtlkHKe
2020-02-16 Hot
@NandoDF
Powerful antibiotic discovered using machine learning for first time. https://t.co/cxiF3sceYS
2020-02-22 Hot
@hardmaru
GANILLA: Generative Adversarial Networks for Image to Illustration Translation https://t.co/iHjYU1mzVx code/pre-t… https://t.co/mqSaGSoy9y
2020-02-16
@EricTopol
There's so much in those circulating tumor cells that humans can't see, but machines can. And it helps predict pati… https://t.co/LTpBcAIUzp
2020-02-10
@random_walker
This is one of the most high-profile applications of differential privacy to date. Two documents by researchers who… https://t.co/zsgXlibDeJ
2020-02-13
@KirkDBorne
Understanding #NeuralNetworks — from Neurons to RNN (Recurrent NN) to CNN (Convolutional NN) to #DeepLearning — and… https://t.co/nSChW4726W
2020-02-11
@NandoDF
By harnessing AI responsibly and compassionately we could help solve humanity’s biggest challenges, delivering clea… https://t.co/pm8sf7d58L
2020-02-22
@KirkDBorne
📈📊🌟Download this free 185-page PDF — A Comprehensive Guide to #MachineLearning 👉 https://t.co/iZsREscT9v ——————————… https://t.co/Eb0xqVAx3c
2020-02-16
@QAnonNotables
A mysterious radio source located in a galaxy 500 million light years from Earth is pulsing on a 16-day cycle, acco… https://t.co/igouF5Ag3a
2020-02-09
@MATLAB
Learn how to prepare a dataset for designing object detection #deeplearning models https://t.co/NKcSqEH78k https://t.co/8SO4Cq3rnH
2020-02-17
@starstrickenSF
thread inspired by my research on Betelgeuse, boredom as I wait for my code to run, and this fantastic paper posted… https://t.co/U030mDwDf0
2020-02-13
@ylecun
@KyleCranmer Every ConvNet is a gigantic fully-connected net with lots zeros weights. It's like cheating at the lottery.
2020-02-11
@SpirosMargaris
"World's strongest" #robotic #hand can also gracefully play the #piano https://t.co/Kciw9Hw4VN #fintech #AI… https://t.co/SfIjQ7SQRh
2020-02-11
@hillbig
正確なシミュレーターは遅く、高速なNNで模倣しようにも十分な量の学習データを作れない。ネットワークアーキテクチャ探索を組み合わせ、問題を正しく表現できるようにすることで少ない学習データでも正確に模倣できるようになる。広い問題で成功… https://t.co/CkNSUapBi3
2020-02-17
@johncarlosbaez
There's a new book on 2-dimensional mathematics, free on the arXiv: https://t.co/edtOEgZwxV With this you can bre… https://t.co/bwH9TxVg8T
2020-02-17
@SpirosMargaris
Good read 15 Best #MachineLearning #Books for 2020 https://t.co/0h5WI854Z3 #fintech #AI #ArtificialIntelligence… https://t.co/YbCYe4TC14
2020-02-14
@KirkDBorne
Excellent review of Unsupervised Learning — discovers patterns & detects outliers in data, and could lead to genera… https://t.co/IUNmii1Slm
2020-02-18
@lovecryption
>cosmic background radiation, assumed to be uniform throughout the universe, actually is aligned PRECISELY with Ear… https://t.co/8QUQm6gfNZ
2020-02-20
@KirkDBorne
The top Artificial Intelligence Books for reading, learning, and growing your knowledge in 2020:… https://t.co/0bpAsyMEZI
2020-02-15
@ylecun
@MartyKemka Research at FAIR is driven by scientists, bottom up. When a project start being promising, with potent… https://t.co/z8qxpCDYRk
2020-02-22
@KirkDBorne
#DeepLearning founders Bengio, Hinton, and LeCun say the field can fix its flaws — the big idea shared by all three… https://t.co/7AlCyFavjt
2020-02-11
@erikbryn
A cool new paper shows how Neural Networks can speed up simulations by billions of times. https://t.co/TVXpm18yeg… https://t.co/U91pMW8k0f
2020-02-17
@NLESDCA
A excited & dedicated group of #LearningLeaders have come together today focused on student engagement &… https://t.co/7a76AFoBkC
2020-02-13
@NandoDF
Deep Neural Networks Reconstruct Mysterious Image Hidden in Picasso Painting https://t.co/GpkjyvUZyr
2020-02-15
@ylecun
@nkoumchatzky The second blasphemy is the ketchup.
2020-02-17
@hsss_sa
#الآن ولأول مرة ، وجد علماء الفلك انفجار راديو سريع (FRB) من أعماق الفضاء يتكرر في دورة منتظمة. كل 16.35 يومًا . ا… https://t.co/Nb7ItfLOc0
2020-02-10
@thiagosgbr
Querem ver o primeiro artigo do @luidhysantana ? Nosso trabalho sobre o ambiente de galáxias análogas! Olha essa im… https://t.co/4YWbuzgs9i
2020-02-20
@JAMA_current
Researchers at @GoogleHealth et al developed a #deeplearning #AI model for identifying #breastcancer using screenin… https://t.co/IdKjfyeA0L
2020-02-13
@SpirosMargaris
How #Deepfake Technology Actually Works https://t.co/W1ZcfoLc9D #fintech #insurtech #election #cybersecurity… https://t.co/bKrGqTfB8t
2020-02-22
@hillbig
対比学習による画像表現の教師なし学習では次が重要。SOTA性能を大幅に更新 1)クロップ、色歪みのデータオーグメンションの組み合わせ 2) 表現に非線形変換適用後に対比 3) 温度付きクロスエントロピー損失 4) 教師あり学習より… https://t.co/gxKhFxvIAv
2020-02-16
@SpirosMargaris
The top 10 #TechTrends for 2020 https://t.co/TfgNfU8n9C #fintech #AI #ArtificialIntelligence #MachineLearning… https://t.co/MuzeWuK9Je
2020-02-18
@KirkDBorne
New book, I now have my copy and I love it! >> "Mastering #MachineLearning #Algorithms" (Second Edition):… https://t.co/PRbBsfTZ4m
2020-02-19
@SpirosMargaris
Good read The #DataScience Puzzle — 2020 Edition https://t.co/nyTKepJ0uL #fintech #AI #BigData #MachineLearning… https://t.co/OBDqlG59j5
2020-02-10
@SpirosMargaris
There is still one domain which #machines can’t take over: Human #creativity https://t.co/vnd7YyTXi0 #fintech #AI… https://t.co/mHfMImyOFY
2020-02-16
@NandoDF
DeepMind trains robots to insert USB keys and stack colored blocks https://t.co/4yXzMT6ltg
2020-02-12
@KirkDBorne
#MachineLearning Technical Landscape — #ML and #DeepLearning frameworks & libraries for large-scale #DataMining:… https://t.co/QOZLjvMFic
2020-02-12
@SpirosMargaris
Why #AI systems should be recognized as #inventors https://t.co/bNHk0VFOsY #fintech #ArtificialIntelligence… https://t.co/0uXl4HRZdS
2020-02-18
@astrotemp
It makes me a bit sad that I never celebrated my first paper, but today saw I'VE BEEN CITED! 1 stranger has maybe… https://t.co/N19XFzP4uF
2020-02-10
@KirkDBorne
Congratulations @SASsoftware @databricks @alteryx @MathWorks @TIBCO @dataiku on being named Leaders in @Gartner_inc… https://t.co/DkUEtpuc5n
2020-02-17
@preskill
"Joseph Polchinski ranks among the greatest theoretical physicists of his generation." And one of the most admired… https://t.co/SuPiyh5OEF
2020-02-09
@malhamid
ورقة بحثية نشرت قبل يومين، استمتعت بقراءتها و انصح المهتمين بالاطلاع عليها #الذكاء_الاصطناعي #تعلم_الآلة "The Nex… https://t.co/cNy1YzWvPk
2020-02-19
@ylecun
@mmbronstein Haha!
2020-02-15
@erfan_kasraie
یک) خبر کشف یک سیگنال رادیویی مرموز که که هر ۱۶ روز تکرار می‌شود (https://t.co/WV5r2inTTP)، هیجان انگیز و تکان دهند… https://t.co/7krMz6wU5N
2020-02-13
@ylecun
@syhw @le_roux_nicolas @JeffDean You can make money with software. But with pizza, you make real dough.
2020-02-14
@quocleix
Last week we released the checkpoints for SOTA ImageNet models trained by NoisyStudent. Due to popular demand, we’v… https://t.co/mNSMbAUKtA
2020-02-17
@NandoDF
From models of galaxies to atoms, simple AI shortcuts speed up simulations by billions of times https://t.co/Kv1bt0LCeE
2020-02-12
@ylecun
@adjiboussodieng This is not special to ML. It's true of every field of science. In fact, it's less true in ML beca… https://t.co/EYmrD9pbr3
2020-02-20
@hardmaru
This type of thinking can lead to cool research like Neural Turing Machines https://t.co/RPVkf4cuXy https://t.co/Yf9E959DWs
2020-02-09
@TansuDaylan
Bugünkü makalemizde 3 mini-Neptün’ün keşfini duyuruyoruz. Çalışmaya liderlik yapan MIT PhD öğrencisi Mariona’ya teb… https://t.co/q41vsxAShB
2020-02-11
@hardmaru
Deep Reinforcement Learning for Playing 2.5D Fighting Games Someone made an OpenAI gym environment with for “Littl… https://t.co/WHXROEKhmv
2020-02-10

Hot Papers

Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Andrew Gordon Wilson, Pavel Izmailov
2020-02-20 Super Hot
GANILLA: Generative Adversarial Networks for Image to Illustration Translation
Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu
2020-02-13 Super Hot
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah Smith
2020-02-15 Super Hot
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Andrey Voynov, Artem Babenko
2020-02-10 Super Hot
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Neil Zeghidour, David Grangier
2020-02-20 Super Hot
fastai: A Layered API for Deep Learning
Jeremy Howard, Sylvain Gugger
2020-02-11 Super Hot
On the Discrepancy between Density Estimation and Sequence Generation
Jason Lee, Dustin Tran, Orhan Firat, Kyunghyun Cho
2020-02-17 Super Hot
MonoLayout: Amodal scene layout from a single image
Kaustubh Mani, Swapnil Daga, Shubhika Garg, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna
2020-02-19 Super Hot
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
Gary Marcus
2020-02-14 Super Hot
Gradient Boosting Neural Networks: GrowNet
Sarkhan Badirli, Xuanqing Liu, Zhengming Xing, Avradeep Bhowmik, Sathiya S. Keerthi
2020-02-19 Super Hot
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset
Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto
2020-02-20 Hot
Speech-to-Singing Conversion in an Encoder-Decoder Framework
Jayneel Parekh, Preeti Rao, Yi-Hsuan Yang
2020-02-16 Hot
Improved Consistency Regularization for GANs
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
2020-02-11 Hot
Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE
Isaac Robinson, Emma Pierce-Hoffman
2020-02-13 Hot
Image-to-Image Translation with Text Guidance
Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz
2020-02-12 Hot
Invariant Risk Minimization Games
Kartik Ahuja, Karthikeyan Shanmugam, Kush Varshney, Amit Dhurandhar
2020-02-11 Hot
StickyPillars: Robust feature matching on point clouds using Graph Neural Networks
Martin Simon, Kai Fischer, Stefan Milz, Christian Tobias Witt, Horst-Michael Gross
2020-02-10 Hot
Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling
Will Grathwohl, Kuan-Chieh Wang, Jorn-Henrik Jacobsen, David Duvenaud, Richard Zemel
2020-02-13 Hot
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Sebastian Raschka, Joshua Patterson, Corey Nolet
2020-02-12 Hot
The Geometry of Sign Gradient Descent
Lukas Balles, Fabian Pedregosa, Nicolas Le Roux
2020-02-19 Hot
Kalman meets Bellman: Improving Policy Evaluation through Value Tracking
Shirli Di-Castro Shashua, Shie Mannor
2020-02-17 Hot
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou
2020-02-19 Hot
Self-Supervised Linear Motion Deblurring
Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, Andreas Geiger
2020-02-10 Hot
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang, Laurent Dinh, Aaron Courville
2020-02-17 Hot
Transformers as Soft Reasoners over Language
Peter Clark, Oyvind Tafjord, Kyle Richardson
2020-02-14 Hot
Subclass Distillation
Rafael Müller, Simon Kornblith, Geoffrey Hinton
2020-02-10 Hot
Fast Differentiable Sorting and Ranking
Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga
2020-02-20 Hot
Generating Automatic Curricula via Self-Supervised Active Domain Randomization
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo, Liam Paull
2020-02-18 Hot
Replacing Mobile Camera ISP with a Single Deep Learning Model
Andrey Ignatov, Luc Van Gool, Radu Timofte
2020-02-13 Hot
DeepMutation: A Neural Mutation Tool
Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk
2020-02-12 Hot

Fresh Papers

Higher-order algorithms and implicit regularization for nonlinearly parameterized adaptive control
Nicholas M. Boffi, Jean-Jacques E. Slotine
2020-02-20
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients
Ruilin Li, Xin Wang, Hongyuan Zha, Molei Tao
2020-02-20
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models
Adarsh Subbaswamy, Suchi Saria
2020-02-20
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
2020-02-20
Implicit differentiation of Lasso-type models for hyperparameter optimization
Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2020-02-20
Penalty Method for Inversion-Free Deep Bilevel Optimization
Akshay Mehra, Jihun Hamm
2020-02-20
Randomized Exploration for Non-Stationary Stochastic Linear Bandits
Baekjin Kim, Ambuj Tewari
2020-02-20
Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence
Shuoguang Yang, Shatian Wang, Van-Anh Truong
2020-02-20
Nyström Subspace Learning for Large-scale SVMs
Weida Li, Mingxia Liu, Daoqiang Zhang
2020-02-20
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders
Ari Heljakka, Arno Solin, Juho Kannala
2020-02-20
Meta-learning for mixed linear regression
Weihao Kong, Raghav Somani, Zhao Song, Sham Kakade, Sewoong Oh
2020-02-20
Strategy to Increase the Safety of a DNN-based Perception for HAD Systems
Timo Sämann, Peter Schlicht, Fabian Hüger
2020-02-20
The Limitations of Stylometry for Detecting Machine-Generated Fake News
Tal Schuster, Roei Schuster, Darsh J Shah, Regina Barzilay
2020-02-20
Online high rank matrix completion
Jicong Fan, Madeleine Udell
2020-02-20
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Neil Zeghidour, David Grangier
2020-02-20 Super Hot
Regret Analysis of Causal Bandit Problems
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan
2020-02-20
On Gradient-Based Learning in Continuous Games
Eric Mazumdar, Lillian J. Ratliff, S. Shankar Sastry
2020-02-20
Multi-step Online Unsupervised Domain Adaptation
J. H. Moon, Debasmit Das, C. S. George Lee
2020-02-20
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
Rob Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet
2020-02-20
Regularized Autoencoders via Relaxed Injective Probability Flow
Abhishek Kumar, Ben Poole, Kevin Murphy
2020-02-20
Imputer: Sequence Modelling via Imputation and Dynamic Programming
William Chan, Chitwan Saharia, Geoffrey Hinton, Mohammad Norouzi, Navdeep Jaitly
2020-02-20 Hot
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion
Zixuan Huang, Junming Fan, Shenggan Cheng, Shuai Yi, Xiaogang Wang, Hongsheng Li
2020-02-20
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels
Matthew Willetts, Stephen J Roberts, Christopher C Holmes
2020-02-20
Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?
Aidan Boyd, Adam Czajka, Kevin Bowyer
2020-02-20 Hot
Measuring Social Biases in Grounded Vision and Language Embeddings
Candace Ross, Boris Katz, Andrei Barbu
2020-02-20 Hot
Second-order Conditional Gradients
Alejandro Carderera, Sebastian Pokutta
2020-02-20 Hot
Reliable Distributed Clustering with Redundant Data Assignment
Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat
2020-02-20
Deep Network Classification by Scattering and Homotopy Dictionary Learning
John Zarka, Louis Thiry, Tomás Angles, Stéphane Mallat
2020-02-20
The Fluidity of Concept Representations in Human Brain Signals
Eva Hendrikx, Lisa Beinborn
2020-02-20 Hot
A continuum limit for the PageRank algorithm
Amber Yuan, Jeff Calder, Braxton Osting
2020-02-20

reinforcement learning

Social diversity and social preferences in mixed-motive reinforcement learning
Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
2020-02-12
RLCard: A Toolkit for Reinforcement Learning in Card Games
Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu
2020-02-14
Provable Self-Play Algorithms for Competitive Reinforcement Learning
Yu Bai, Chi Jin
2020-02-10 Hot
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
Yannick Schroecker, Charles Isbell
2020-02-15
PCGRL: Procedural Content Generation via Reinforcement Learning
Ahmed Khalifa, Philip Bontrager, Sam Earle, Julian Togelius
2020-02-18
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020-02-18
Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning
Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar
2020-02-12
Behaviour Suite for Reinforcement Learning
Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepesvari, Satinder Singh, Benjamin Van Roy, Richard Sutton, David Silver, Hado Van Hasselt
2020-02-14
Curriculum in Gradient-Based Meta-Reinforcement Learning
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Chris J. Pal, Liam Paull
2020-02-19
Hyper-Meta Reinforcement Learning with Sparse Reward
Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2020-02-11
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
Che Wang, Keith Ross
2020-02-10
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization
Hong Wu, Jiahai Wang, Zizhen Zhang
2020-02-13 Hot
Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning
Yanchao Sun, Furong Huang
2020-02-16
First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning
Yiming Zhang, Quan Vuong, Keith W. Ross
2020-02-16
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee
2020-02-15
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell
2020-02-11
SparseIDS: Learning Packet Sampling with Reinforcement Learning
Maximilian Bachl, Fares Meghdouri, Joachim Fabini, Tanja Zseby
2020-02-10
Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning
Borja G. León, Francesco Belardinelli
2020-02-14
Learning Structured Communication for Multi-agent Reinforcement Learning
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2020-02-11
Federated Deep Reinforcement Learning
Hankz Hankui Zhuo, Wenfeng Feng, Yufeng Lin, Qian Xu, Qiang Yang
2020-02-09
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Martin Riedmiller
2020-02-19 Hot
Objective Mismatch in Model-based Reinforcement Learning
Nathan Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
2020-02-11
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning
Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2020-02-10
Making Sense of Reinforcement Learning and Probabilistic Inference
Brendan O'Donoghue, Ian Osband, Catalin Ionescu
2020-02-14
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
Julien Roy, Paul Barde, Félix G. Harvey, Derek Nowrouzezahrai, Christopher Pal
2020-02-11
Model-Based Reinforcement Learning for Atari
Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski
2020-02-19
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics
Taras Khakhulin, Roman Schutski, Ivan Oseledets
2020-02-20
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves
2020-02-11
Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing
Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed Chi
2020-02-12
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic
Yangang Ren, Jingliang Duan, Yang Guan, Shengbo Eben Li
2020-02-13 Hot

language

BAS: An Answer Selection Method Using BERT Language Model
Jamshid Mozafari, Afsaneh Fatemi, Mohammad Ali Nematbakhsh
2020-02-11
Limits of Detecting Text Generated by Large-Scale Language Models
Lav R. Varshney, Nitish Shirish Keskar, Richard Socher
2020-02-09 Hot
From English To Foreign Languages: Transferring Pre-trained Language Models
Ke Tran
2020-02-18 Hot
Compositional Languages Emerge in a Neural Iterated Learning Model
Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby
2020-02-17
Unsupervised Separation of Native and Loanwords for Malayalam and Telugu
Sridhama Prakhya, Deepak P
2020-02-12 Hot
Comparison of Turkish Word Representations Trained on Different Morphological Forms
Gökhan Güler, A. Cüneyd Tantuğ
2020-02-13 Hot
Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition
Shuai Zhang, Jiangyan Yi, Zhengkun Tian, Jianhua Tao, Ye Bai
2020-02-19
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
Huaishao Luo, Lei Ji, Botian Shi, Haoyang Huang, Nan Duan, Tianrui Li, Xilin Chen, Ming Zhou
2020-02-15 Hot
Pre-Training for Query Rewriting in A Spoken Language Understanding System
Zheng Chen, Xing Fan, Yuan Ling, Lambert Mathias, Chenlei Guo
2020-02-13 Hot
CBAG: Conditional Biomedical Abstract Generation
Justin Sybrandt, Ilya Safro
2020-02-13
Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language
Kohei Matsuura, Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara
2020-02-19
Measuring Social Biases in Grounded Vision and Language Embeddings
Candace Ross, Boris Katz, Andrei Barbu
2020-02-20 Hot
Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language
Kohei Matsuura, Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara
2020-02-16 Hot
Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework
Chiranjib Sur
2020-02-16
Abductive Commonsense Reasoning
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi
2020-02-14
Transformers as Soft Reasoners over Language
Peter Clark, Oyvind Tafjord, Kyle Richardson
2020-02-14 Hot
Exploring Chemical Space using Natural Language Processing Methodologies for Drug Discovery
Hakime Öztürk, Arzucan Özgür, Philippe Schwaller, Teodoro Laino, Elif Ozkirimli
2020-02-10
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou
2020-02-19 Hot
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models
Wangchunshu Zhou, Ke Xu
2020-02-12
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang
2020-02-19
A Data Efficient End-To-End Spoken Language Understanding Architecture
Marco Dinarelli, Nikita Kapoor, Bassam Jabaian, Laurent Besacier
2020-02-14 Hot
Adjusting Image Attributes of Localized Regions with Low-level Dialogue
Tzu-Hsiang Lin, Alexander Rudnicky, Trung Bui, Doo Soon Kim, Jean Oh
2020-02-11
Deep compositional robotic planners that follow natural language commands
Yen-Ling Kuo, Boris Katz, Andrei Barbu
2020-02-12 Hot
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing
Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang
2020-02-14 Hot
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu
2020-02-19
HuggingFace's 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
2020-02-11
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages
J. C. Vásquez-Correa, T. Arias-Vergara, C. D. Rios-Urrego, M. Schuster, J. Rusz, J. R. Orozco-Arroyave, E. Nöth
2020-02-11
Exploring Neural Models for Parsing Natural Language into First-Order Logic
Hrituraj Singh, Milan Aggrawal, Balaji Krishnamurthy
2020-02-16
Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges
Clément Moulin-Frier, Pierre-Yves Oudeyer
2020-02-20
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu
2020-02-13