Hot Tweets

@ProfBrianCox
Some exciting physics. It is possible that the Black Hole information paradox has been solved; the solution, mind b… https://t.co/cAQ0R5PVx6
2020-09-13 Super Hot
@ylecun
I am one of 24 American Turing Award Laureates to endorse the Biden/Harris ticket. Immigration & Science-based pol… https://t.co/rRprzE3D2J
2020-09-18 Super Hot
@ylecun
#detectron2 in action. https://t.co/BD0BGypsKe
2020-09-21 Super Hot
@ylecun
@adjiboussodieng Reinforcement learning!
2020-09-13 Super Hot
@tarciziosilva
De onde vem as fotos que populam as bases de imagens que treinam os sistemas? Shreya Shankar e colaboradores anali… https://t.co/QUJoyLa0BH
2020-09-20 Super Hot
@NandoDF
So glad to see the value of scientific software frameworks being properly recognised. https://t.co/8B195hCkin
2020-09-17 Hot
@AndrewYNg
Come join @goodfellow_ian, @AnimaAnandkumar, Alexei Efros, @realSharonZhou and me at GANs for Good, an online panel… https://t.co/8rmiX0NmMR
2020-09-25 Hot
@AndrewYNg
@goodfellow_ian, @AnimaAnandkumar, Alexei Efros, @realSharonZhou and I will be speaking at GANs for Good, an online… https://t.co/Ko9E5om0L0
2020-09-24 Hot
@DeepMind
The source code and checkpoints for BYOL are now available along with an updated version of the BYOL paper - includ… https://t.co/fJJB1CreTB
2020-09-15 Hot
@ylecun
Dynabench: a framework to test ML system by asking adversarial human annotators to break it. A good way to evaluat… https://t.co/1t63k2wP5a
2020-09-24 Hot
@KirkDBorne
One of my all-time favorites >> The Most Complete List of the Best Cheat Sheets for #DataScientists — great learnin… https://t.co/VHYl3CUqQd
2020-09-14 Hot
@demishassabis
Fantastic to have teamed up with former world chess champion Vladimir Kramnik to explore interesting and creative c… https://t.co/ZVaMUX5XTm
2020-09-15 Hot
@ylecun
Pointers to resources on graph neural nets. https://t.co/VJDUz8XKmi
2020-09-17 Hot
@ylecun
Very cool work from UCL+FAIR-London on neural architectures for reasoning that learn to generate and select rules. https://t.co/vgCcbDWAPj
2020-09-16 Hot
@PlanetDr
And although no one asked, we have looked for phosphine (PH3) in Titan's atmosphere. We didn't find it, but we also… https://t.co/3HyKecjMDs
2020-09-14 Hot
@KirkDBorne
FREE 185-page PDF: A Comprehensive Guide to #MachineLearning → https://t.co/iZsREscT9v —————— #BigData #DataScience… https://t.co/7aHn5RYxBi
2020-09-19 Hot
@SpirosMargaris
This #AI Turns #Celebrities into Incredible #Cartoon #Characters https://t.co/gRkvyyxJu3 #fintech @nerdist… https://t.co/wp3V9H5fdz
2020-09-26 Hot
@KirkDBorne
See some of my favorite books & things here: https://t.co/fmHsJvad9P …covers #BigData #DataScience #AI #Bots… https://t.co/haOqOnJsKK
2020-09-19 Hot
@KirkDBorne
Here are some of my favorite books & things: https://t.co/fmHsJvad9P …covers #BigData #DataScience #AI #Bots… https://t.co/VqpBTFKeXf
2020-09-13 Hot
@rainforestbook
Love seeing this casebook scientific method at work. October 2019: “If we found phosphine on another planet, that… https://t.co/Cakxus7hsh
2020-09-13 Hot
@KirkDBorne
[Free 479-page PDF eBook] The #Mathematics and #Statistics Foundations of #DataScience: https://t.co/7lYeig5OhE ———… https://t.co/XQc0THf3Oe
2020-09-25 Hot
@ylecun
The version I heard has an engineering student in France: Bad eng school graduates: it doesn't work, and you don't… https://t.co/GH0u8EDXKv
2020-09-26 Hot
@KirkDBorne
[UPDATED this year] Free PDF #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/JCSt27PyLR
2020-09-17 Hot
@KirkDBorne
The #DataScience Landscape: https://t.co/awGU58lMSH ———— #BigData #AI #MachineLearning #DeepLearning #Analytics… https://t.co/2EPwqgHpsM
2020-09-24 Hot
@AntonioParis
Follow the evidence: Proposed Miami Impact Crater Identified as a Solutional Doline of Oolictic Limestone. SAO/NASA… https://t.co/j616NBttKT
2020-09-24 Hot
@MATLAB
See the new #AI capabilities in R2020b! Download the latest MATLAB release https://t.co/AEuK6zB5ZV #deeplearning… https://t.co/oGhb1YetoZ
2020-09-22 Hot
@chrislintott
Astronomers: we can stand down. Avi Loeb has written a paper about phosphine on Venus. https://t.co/Csttaw5Q3v
2020-09-17 Hot
@KirkDBorne
Learn #MachineLearning Terminology with an 18-page Glossary (downloadable PDF) and with this #ML Mindmap:… https://t.co/827vGyNFrt
2020-09-19 Hot
@ylecun
@adjiboussodieng I'm getting dangerously close to retirement age and only have about 25 NeurIPS papers since 1987. I need to catch up quick!
2020-09-26 Hot
@AntonioParis
The use of drones on earth has advanced planetary #science. Here is our latest research ... thanks to our drone: "A… https://t.co/mi059wrtn7
2020-09-24 Hot
@KirkDBorne
#DataScience from Scratch — First Principles with #Python (2nd Edition): https://t.co/QOjYC7PuMs by @joelgrus —————… https://t.co/TWzCyggf6B
2020-09-18 Hot
@KirkDBorne
[Free 479-page PDF eBook] The #Mathematics and #Statistics Foundations of #DataScience 👉https://t.co/7lYeig5OhE ———… https://t.co/pvw0zxxoQV
2020-09-13 Hot
@ylecun
@boredyannlecun My top 2 most-cited papers were co-authored with Yoshua Yoshua's top 2 most-cited papers were co-au… https://t.co/69YKVgwdie
2020-09-25 Hot
@ninadhora
Neste artigo, investigaram práticas problemáticas e consequências de conjuntos de dados de visão em grande escala.… https://t.co/2qLEzzhzcd
2020-09-20 Hot
@lisaharveysmith
Astronomers have found a single dip in the brightness of x-rays emitted by a pair of stars (a massive star and a st… https://t.co/JavyA1jnNA
2020-09-22 Hot
@ylecun
@johncarlosbaez Intellectual debates on Facebook are considerably more civilized than on Twitter.
2020-09-15 Hot
@KirkDBorne
#DeepLearning Chatbot — Everything You Need to Know to build your own, for the easy user questions and especially t… https://t.co/18NLqjwLSQ
2020-09-13
@KirkDBorne
Artificial Intelligence and #DeepLearning for Decision-Makers — Growth Hacker's Guide to Cutting Edge Technologies:… https://t.co/SIn8mLNy0k
2020-09-20
@TahaYasseri
Prefer to finish a task alone rather than w someone else when it's too complex? You should do that if you're good!… https://t.co/FAiLho7N7H
2020-09-24
@KirkDBorne
987-page book "Dive into #DeepLearning" teaches the ideas, #mathematics, and #coding that power it. Learn more:… https://t.co/fNWx59mafM
2020-09-14
@KardOnIce
@socrates1024 @bascule No, Twitter decides the cropping via the actual data, not the metadata, to try to pick out t… https://t.co/quswuu85cb
2020-09-19
@ylecun
Very cool paper on training Siamese nets to identify whether two states of a physical system belong to the same tra… https://t.co/8FrNxLMMod
2020-09-26
@KirkDBorne
88 FREE #DataScience Resources to power the #DataScientist career, covers #MachineLearning #DeepLearning… https://t.co/zLWXyJxLML
2020-09-16
@KirkDBorne
[NEW Book] Practical Natural Language Processing — A Comprehensive Guide to Building Real-World #NLProc Systems:… https://t.co/jmtFVvpvxy
2020-09-15
@DSzymborski
Seriously, I keep posting this research. https://t.co/rJfhNLDKei TLDR: To match the "better team advancing" rate… https://t.co/FO4lQA8REj
2020-09-16
@rasbt
had no idea the DL is already so heavily involved in Software Engineering, incl. program repair and detecting code… https://t.co/g8sdgPmSLE
2020-09-26
@SpirosMargaris
We’re not ready for #AI, says #ReginaBarzilay, the #winner of a new $1m #AI prize https://t.co/wrPeJ80tt0… https://t.co/h29p2km7Gs
2020-09-23
@ylecun
@roydanroy The article talks about this. 3 are too old/too sick, 3 have positions incompatible with political endo… https://t.co/CTEyTabcMc
2020-09-18
@jefrankle
Several methods have recently been proposed for pruning neural networks at initialization. In our new paper (… https://t.co/h7rmagU0y7
2020-09-21
@KirkDBorne
Difference Between #DeepLearning and #MachineLearning in one Infographic: https://t.co/bpqHbWDQns ————— #BigData… https://t.co/HdAc4799fz
2020-09-18
@KirkDBorne
[UPDATED this year] Free PDF #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/9O8wIKKIyB
2020-09-13
@KirkDBorne
Articles & Tutorials for #DataScientists = 18 on #PredictiveAnalytics, 10 on Outliers, 21 on #TimeSeries, and much… https://t.co/73Q0X7zFih
2020-09-16
@KirkDBorne
Another great resource for #MachineLearning Engineers — See this best-seller: https://t.co/PXOynRFovw —————… https://t.co/UPrHgLArGp
2020-09-23
@NandoDF
Brain-inspired variant of memory replay https://t.co/98bJWjENUt
2020-09-23
@KonstDaskalakis
Min-max optimization (used among other applications in GANs, and adversarial training more broadly) is empirically… https://t.co/KSA12QC1OR
2020-09-24
@KirkDBorne
Free online eBook — #MachineLearning from Scratch: https://t.co/VAgDA0v78O by Daniel Friedman via @DataScienceCtrl… https://t.co/pSJQ1GFc1D
2020-09-21
@jaygambetta
It is always nice to see how much can change in 10 years. Here is our recent IBM Quantum Hummingbird processor (65… https://t.co/f1b931dyOo
2020-09-13
@NandoDF
@DeepMind’s #intern applications starting again! I’m looking forward to all applications, and I hope to see many fr… https://t.co/44MKZltkqW
2020-09-26
@KirkDBorne
FREE 185-page PDF: A Comprehensive Guide to #MachineLearning → https://t.co/iZsREscT9v —————— #BigData #DataScience… https://t.co/tVSrBI9vP6
2020-09-17
@MSFTResearch
New features released today in Microsoft ML for Apache Spark include unsupervised outlier detection, cybersecurity,… https://t.co/5kJydSnb12
2020-09-21
@ylecun
It was a pleasure chatting with you and answering questions from your viewers. The future of science and technology… https://t.co/gwu5g4DaPW
2020-09-25
@joisino_
NeurIPS 2020 に主著論文が採択されました🎉🎉🎉 https://t.co/pjt1P79wu3
2020-09-26
@galaxygarden23
Checkout our #CCS2020 #PPMLP paper w/ @sahib_me @iamtrask @openminedorg : "Neither Private Nor Fair" where we dig… https://t.co/93GrJZertM
2020-09-25
@KirkDBorne
Artificial Intelligence with #Python — Your complete guide to building intelligent apps: https://t.co/KMlC9PZJvt… https://t.co/X9yw0XubiZ
2020-09-15
@SpirosMargaris
Rebooting the post- #pandemic enterprise with #AI automation https://t.co/kjkGd5RZRi #fintech… https://t.co/nYHly8xg7R
2020-09-25
@SpirosMargaris
Google’s #NeuralMachine translation system most popular #AI #tweet in August 2020 https://t.co/BXeyvwDLPa… https://t.co/0OGrAHbyRr
2020-09-22
@KirkDBorne
Free online eBook — #MachineLearning from Scratch: https://t.co/VAgDA0v78O by Daniel Friedman via @DataScienceCtrl… https://t.co/N7sCUxoDE4
2020-09-16
@tomatoha831
「彼女の話ばっかりするな。物理の話しろ」と言われましても... 日頃から彼女と過ごす時間が長い分エピソードも彼女のものばかりになるのは勘弁してくれませんか。しかし、期待を裏切って申し訳ないので物理の話が見られるサイトを載せておきま… https://t.co/QD2ga4XzP2
2020-09-23
@KirkDBorne
Free online eBook — #MachineLearning from Scratch: https://t.co/VAgDA0v78O by Daniel Friedman via @DataScienceCtrl… https://t.co/rGgpWoEsQ1
2020-09-25
@KirkDBorne
Comprehensive Guide to Stochastic Gradient Descent #Algorithms: https://t.co/rLFGoXZCoB by @GiuseppeB —————… https://t.co/ejb4AH5nMn
2020-09-24
@SpirosMargaris
Here’s why #AI needs a more diverse #workforce https://t.co/KeDn9bwTR5 #fintech #ArtificialIntelligence… https://t.co/9iIWJwPd8E
2020-09-21
@KirkDBorne
Explaining #DeepLearning Results and Artificial Intelligence Outputs: https://t.co/qsijvjrPeV ————— #abdsc #BigData… https://t.co/L0huuxS2z4
2020-09-14
@fcain
A balloon mission that could try to confirm life on Venus - https://t.co/V2ocrthKAq https://t.co/BQBr6yEoBO
2020-09-25
@COsweda
"It is shown that [anti-jamming protection] capacity is positive, and then equals the common randomness assisted (C… https://t.co/r0qxxqVlfg
2020-09-23
@rleshner
Economists just published a paper analyzing Compound & #DeFi interest rate markets 📈 DeFi Protocols for Loanable F… https://t.co/78kypVGQie
2020-09-25
@mark_riedl
This paper is 🔥 https://t.co/JIe4RSfb2O
2020-09-17
@ylecun
@roydanroy Tons of those in France when I grew up.
2020-09-18
@VC31415
Just came across this beautiful paper on NNs for causal inference under un-confoundedness: https://t.co/stpYH0BtWv… https://t.co/429uuwtCyd
2020-09-26
@learn_ng
New work with @kchonyc and @MarzyehGhassemi! arxiv: https://t.co/ApaaP3xNkf code: https://t.co/th47UxaxLT We pro… https://t.co/WbYZHZcCtG
2020-09-23
@ylecun
Notre livre sur l'intelligence, sous forme de dialogue, désormais disponible en format livre de poche. https://t.co/MoobcVWZfQ
2020-09-26

Hot Papers

The Hardware Lottery
Sara Hooker
2020-09-14 Super Hot
Layered Neural Rendering for Retiming People in Video
Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein
2020-09-16 Super Hot
Towards Fast, Accurate and Stable 3D Dense Face Alignment
Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li
2020-09-21 Super Hot
Efficient Transformers: A Survey
Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
2020-09-14 Super Hot
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi
2020-09-21 Super Hot
Old Photo Restoration via Deep Latent Space Translation
Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen
2020-09-14 Super Hot
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick, Hinrich Schütze
2020-09-15 Hot
MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video
Donglai Xiang, Fabian Prada, Chenglei Wu, Jessica Hodgins
2020-09-22 Hot
Distributional Generalization: A New Kind of Generalization
Preetum Nakkiran, Yamini Bansal
2020-09-17 Hot
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
R. Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
2020-09-17 Hot
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
2020-09-24 Hot
RDF2Vec Light -- A Lightweight Approachfor Knowledge Graph Embeddings
Jan Portisch, Michael Hladik, Heiko Paulheim
2020-09-16 Hot
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA
Ieva Staliūnaitė, Ignacio Iacobacci
2020-09-17 Hot
PP-OCR: A Practical Ultra Lightweight OCR System
Yuning Du, Chenxia Li, Ruoyu Guo, Xiaoting Yin, Weiwei Liu, Jun Zhou, Yifan Bai, Zilin Yu, Yehua Yang, Qingqing Dang, Haoshuang Wang
2020-09-21 Hot
X-DC: Explainable Deep Clustering based on Learnable Spectrogram Templates
Chihiro Watanabe, Hirokazu Kameoka
2020-09-18 Hot
Deep Learning for 3D Point Cloud Understanding: A Survey
Haoming Lu, Humphrey Shi
2020-09-18 Hot
Target Conditioning for One-to-Many Generation
Marie-Anne Lachaux, Armand Joulin, Guillaume Lample
2020-09-21 Hot
Path Planning using Neural A* Search
Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki
2020-09-16 Hot
GraphCodeBERT: Pre-training Code Representations with Data Flow
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou
2020-09-17 Hot
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro
2020-09-21 Hot
A Human-Computer Duet System for Music Performance
Yuen-Jen Lin, Hsuan-Kai Kao, Yih-Chih Tseng, Ming Tsai, Li Su
2020-09-16 Hot
MStream: Fast Streaming Multi-Aspect Group Anomaly Detection
Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
2020-09-17 Hot
Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News
Reuben Tan, Kate Saenko, Bryan A. Plummer
2020-09-16 Hot
An Intuitive Tutorial to Gaussian Processes Regression
Jie Wang
2020-09-22 Hot
Generating Label Cohesive and Well-Formed Adversarial Claims
Pepa Atanasova, Dustin Wright, Isabelle Augenstein
2020-09-17 Hot
DanceIt: Music-inspired Dancing Video Synthesis
Xin Guo, Jia Li, Yifan Zhao
2020-09-17 Hot
High-Resolution Deep Image Matting
Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi
2020-09-14 Hot
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning
Lorijn Zaadnoordijk, Tarek R. Besold, Rhodri Cusack
2020-09-17 Hot
Lessons Learned from Applying off-the-shelf BERT: There is no SilverBullet
Victor Makarenkov, Lior Rokach
2020-09-15 Hot
Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts
Cheng-Che Lee, Wan-Yi Lin, Yen-Ting Shih, Pei-Yi Patricia Kuo, Li Su
2020-09-17 Hot

Fresh Papers

Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection
Yue Wang, Alireza Fathi, Jiajun Wu, Thomas Funkhouser, Justin Solomon
2020-09-24 Hot
How Many Factors Influence Minima in SGD?
Victor Luo, Yazhen Wang
2020-09-24 Hot
Learning Equality Constraints for Motion Planning on Manifolds
Giovanni Sutanto, Isabel M. Rayas Fernández, Peter Englert, Ragesh K. Ramachandran, Gaurav S. Sukhatme
2020-09-24
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
Nihad Karim Chowdhury, Md. Muhtadir Rahman, Noortaz Rezoana, Muhammad Ashad Kabir
2020-09-24
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
2020-09-24 Hot
A Gradient Flow Framework For Analyzing Network Pruning
Ekdeep Singh Lubana, Robert P. Dick
2020-09-24 Hot
Novel Keyword Extraction and Language Detection Approaches
Malgorzata Pikies, Andronicus Riyono, Junade Ali
2020-09-24
Semi-supervised sequence classification through change point detection
Nauman Ahad, Mark A. Davenport
2020-09-24 Hot
Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-based Deep Models
Ching-Yuan Bai, Buo-Fu Chen, Hsuan-Tien Lin
2020-09-24
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha Talukdar
2020-09-24
Attribute Propagation Network for Graph Zero-shot Learning
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020-09-24 Hot
Identifying noisy labels with a transductive semi-supervised leave-one-out filter
Bruno Klaus de Aquino Afonso, Lilian Berton
2020-09-24
Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles
Sanghyun Kim, Jongmin Park, Jae-Kwan Yun, Jiwon Seo
2020-09-24
From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning
Florent Dewez, Benjamin Guedj, Vincent Vandewalle
2020-09-24
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences
Boon Peng Yap, Andrew Koh Jin Jie, Eng Siong Chng
2020-09-24 Hot
On the Detection of Digital Face Manipulation
Hao Dang, Feng Liu, Joel Stehouwer, Xiaoming Liu, Anil Jain
2020-09-24
Neural Identification for Control
Priyabrata Saha, Saibal Mukhopadhyay
2020-09-24
Artificial neural networks for neuroscientists: A primer
Guangyu Robert Yang, Xiao-Jing Wang
2020-09-24
Policies for elementary link generation in quantum networks
Sumeet Khatri
2020-09-24
$t$-$k$-means: A Robust and Stable $k$-means Variant
Yiming Li, Yang Zhang, Qingtao Tang, Weipeng Huang, Yong Jiang, Shu-Tao Xia
2020-09-24
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan
2020-09-24
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang
2020-09-24
Secure Data Sharing With Flow Model
Chenwei Wu, Chenzhuang Du, Yang Yuan
2020-09-24
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths
Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang
2020-09-24 Hot
Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning
Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek
2020-09-24
BreachRadar: Automatic Detection of Points-of-Compromise
Miguel Araujo, Miguel Almeida, Jaime Ferreira, Luis Silva, Pedro Bizarro
2020-09-24
Adaptive Experimental Design for Efficient Treatment Effect Estimation
Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita
2020-09-24
Learning Graph Normalization for Graph Neural Networks
Yihao Chen, Xin Tang, Xianbiao Qi, Chun-Guang Li, Rong Xiao
2020-09-24 Hot
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
Rui Yu, Zhenyuan Yuan, Minghui Zhu, Zihan Zhou
2020-09-24
A Comprehensive Analysis of Deep Regression
Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud
2020-09-24

reinforcement learning

Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems
Ziming Li, Julia Kiseleva, Maarten de Rijke
2020-09-21 Hot
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
2020-09-17
Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning
Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
2020-09-21
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning
Sahil Sharma, Aravind Srinivas, Balaraman Ravindran
2020-09-21
A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn
Anjukan Kathirgamanathan, Kacper Twardowski, Eleni Mangina, Donal Finn
2020-09-22
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing
Yi Shi, Yalin E. Sagduyu, Tugba Erpek
2020-09-14
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin
2020-09-14
Modeling 3D Shapes by Reinforcement Learning
Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner
2020-09-17
RL STaR Platform: Reinforcement Learning for Simulation based Training of Robots
Tamir Blum, Gabin Paillet, Mickael Laine, Kazuya Yoshida
2020-09-21
Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles
Sanghyun Kim, Jongmin Park, Jae-Kwan Yun, Jiwon Seo
2020-09-24
Towards Behavior-Level Explanation for Deep Reinforcement Learning
Xuan Chen, Zifan Wang, Yucai Fan, Bonan Jin, Piotr Mardziel, Carlee Joe-Wong, Anupam Datta
2020-09-17 Hot
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
2020-09-16
Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management
Zhi Chen, Lu Chen, Xiaoyuan Liu, Kai Yu
2020-09-22
Structure-Guided Processing Path Optimization with Deep Reinforcement Learning
Johannes Dornheim, Lukas Morand, Samuel Zeitvogel, Tarek Iraki, Norbert Link, Dirk Helm
2020-09-21
SUMBT+LaRL: End-to-end Neural Task-oriented Dialog System with Reinforcement Learning
Hwaran Lee, Seokhwan Jo, HyungJun Kim, Sangkeun Jung, Tae-Yoon Kim
2020-09-22
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning
Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
2020-09-16
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning
Andrew Silva, Matthew Gombolay
2020-09-23
CertRL: Formalizing Convergence Proofs for Value and Policy Iteration in Coq
Koundinya Vajjha, Avraham Shinnar, Vasily Pestun, Barry Trager, Nathan Fulton
2020-09-23
Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
Feng Tao, Yongcan Cao
2020-09-21
Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
Feng Tao, Yongcan Cao
2020-09-22
Quantum enhancements for deep reinforcement learning in large spaces
Sofiene Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel, Vedran Dunjko
2020-09-22
A Contraction Approach to Model-based Reinforcement Learning
Ting-Han Fan, Peter J. Ramadge
2020-09-18
Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning
Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn
2020-09-24
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning
Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2020-09-13
Robust Reinforcement Learning using Adversarial Populations
Eugene Vinitsky, Yuqing Du, Kanaad Parvate, Kathy Jang, Pieter Abbeel, Alexandre Bayen
2020-09-22
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning
Jian Hu, Seth Austin Harding, Haibin Wu, Shih-wei Liao
2020-09-15
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory
Jakob Struye, Kevin Mets, Steven Latré
2020-09-18
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
Jin Wang, Jia Hu, Geyong Min, Albert Y. Zomaya, Nektarios Georgalas
2020-09-14
Munchausen Reinforcement Learning
Nino Vieillard, Olivier Pietquin, Matthieu Geist
2020-09-15
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL
Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang
2020-09-15

language

Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models
Isabel Papadimitriou, Dan Jurafsky
2020-09-23
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding
Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu
2020-09-17
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT
Alexandra Chronopoulou, Dario Stojanovski, Alexander Fraser
2020-09-16 Hot
Unsupervised Translation of Programming Languages
Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, Guillaume Lample
2020-09-22
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches
Juan Cruz-Benito, Sanjay Vishwakarma, Francisco Martin-Fernandez, Ismael Faro
2020-09-16 Hot
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification
Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing
2020-09-24
RobBERT: a Dutch RoBERTa-based Language Model
Pieter Delobelle, Thomas Winters, Bettina Berendt
2020-09-16
FarsTail: A Persian Natural Language Inference Dataset
Hossein Amirkhani, Mohammad Azari Jafari, Azadeh Amirak, Zohreh Pourjafari, Soroush Faridan Jahromi, Zeinab Kouhkan
2020-09-18 Hot
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
2020-09-17 Hot
Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning
Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek
2020-09-24
Chart-based Zero-shot Constituency Parsing on Multiple Languages
Taeuk Kim, Bowen Li, Sang-goo Lee
2020-09-22
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick, Hinrich Schütze
2020-09-15 Hot
Grounded Compositional Outputs for Adaptive Language Modeling
Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith
2020-09-24 Hot
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
2020-09-21
Differentially Private Language Models Benefit from Public Pre-training
Gavin Kerrigan, Dylan Slack, Jens Tuyls
2020-09-13
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
Shuhei Kurita, Kyunghyun Cho
2020-09-23
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
Shuhei Kurita, Kyunghyun Cho
2020-09-16 Hot
Novel Keyword Extraction and Language Detection Approaches
Malgorzata Pikies, Andronicus Riyono, Junade Ali
2020-09-24
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh
2020-09-23
On the Ability of Self-Attention Networks to Recognize Counter Languages
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
2020-09-23 Hot
Latin BERT: A Contextual Language Model for Classical Philology
David Bamman, Patrick J. Burns
2020-09-21
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si
2020-09-20
Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
Ehsan Doostmohammadi, Minoo Nassajian
2020-09-22
SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge
Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang
2020-09-24
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Sam Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith
2020-09-24 Hot
Retrofitting Structure-aware Transformer Language Model for End Tasks
Hao Fei, Yafeng Ren, Donghong Ji
2020-09-16
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi
Rajesh Kumar Mundotiya, Shantanu Kumar, Ajeet kumar, Umesh Chandra Chaudhary, Supriya Chauhan, Swasti Mishra, Praveen Gatla, Anil Kumar Singh
2020-09-14
A Visual Language for Composable Inductive Programming
Edward McDaid, Sarah McDaid
2020-09-18
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
2020-09-18
Visual Methods for Sign Language Recognition: A Modality-Based Review
Bassem Seddik, Najoua Essoukri Ben Amara
2020-09-22