Hot Tweets

@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
@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
@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
@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
997-page book "Dive into #DeepLearning" teaches the ideas, #mathematics, and #coding that power it. Learn more:… https://t.co/xfJWUkun1f
2020-09-26 Hot
@NandoDF
So glad to see the value of scientific software frameworks being properly recognised. https://t.co/8B195hCkin
2020-09-17 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
@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
@SpirosMargaris
This #AI Turns #Celebrities into Incredible #Cartoon #Characters https://t.co/gRkvyyxJu3 #fintech @nerdist… https://t.co/wp3V9H5fdz
2020-09-26 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
@ylecun
Pointers to resources on graph neural nets. https://t.co/VJDUz8XKmi
2020-09-17 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
@ylecun
Une interview compacte avec Konbini sur l'histoire (folle!) du Deep Learning et sur ma trajectoire. https://t.co/son1E4fZtp
2020-09-28 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
@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
[Free 479-page PDF eBook] The #Mathematics and #Statistics Foundations of #DataScience: https://t.co/7lYeig5OhE ———… https://t.co/XQc0THf3Oe
2020-09-25 Hot
@KirkDBorne
[UPDATED this year] Free PDF #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/JCSt27PyLR
2020-09-17 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
@KirkDBorne
The #DataScience Landscape: https://t.co/awGU58lMSH ———— #BigData #AI #MachineLearning #DeepLearning #Analytics… https://t.co/2EPwqgHpsM
2020-09-24 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
@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
@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 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
@KirkDBorne
50 Shades of Data #AI #Analytics #BI #BigData #Database #DataEngineering #DataLake #DataScience #DataWarehouse… https://t.co/QZgZmE36rP
2020-09-27 Hot
@KirkDBorne
[UPDATED] Free PDF #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/HDO8J5JjKz
2020-09-27 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
@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
@burcinunlu
Phys 201 (Elektrik ve Manyetizma) dersini almış ve Gauss yasasını iyi öğrendiğini düşünen öğrencilerimiz için çok e… https://t.co/skZhWw4nR2
2020-09-28 Hot
@ylecun
@johncarlosbaez Intellectual debates on Facebook are considerably more civilized than on Twitter.
2020-09-15 Hot
@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
@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
@hillbig
CNNが形状でなくテクスチャを見て分類するため汎化しにくいと報告されていたが、CNN自体は形状で分類することができ、問題はランダムクロップによる学習にあった。センタークロップを使い、色歪みやガウシアンブラー等のデータオーグメンテー… https://t.co/TuOBCfdFY6
2020-09-27
@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
@ylecun
Notre livre sur l'intelligence, sous forme de dialogue, désormais disponible en format livre de poche. https://t.co/MoobcVWZfQ
2020-09-26
@KirkDBorne
88 FREE #DataScience Resources to power the #DataScientist career, covers #MachineLearning #DeepLearning… https://t.co/zLWXyJxLML
2020-09-16
@ylecun
Grrrr. https://t.co/uli80YEE18
2020-09-26
@KirkDBorne
[NEW Book] Practical Natural Language Processing — A Comprehensive Guide to Building Real-World #NLProc Systems:… https://t.co/jmtFVvpvxy
2020-09-15
@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
@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
@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
@KirkDBorne
Difference Between #DeepLearning and #MachineLearning in one Infographic: https://t.co/bpqHbWDQns ————— #BigData… https://t.co/HdAc4799fz
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
@NandoDF
Brain-inspired variant of memory replay https://t.co/98bJWjENUt
2020-09-23
@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
@KonstDaskalakis
Min-max optimization (used among other applications in GANs, and adversarial training more broadly) is empirically… https://t.co/KSA12QC1OR
2020-09-24
@huggingface
We're excited to announce the🤗Transformers release of the Retrieval-Augmented Generation model in collaboration wit… https://t.co/N5yJ2GEb1U
2020-09-28
@_rockt
Our paper "The NetHack Learning Environment" will be presented at @NeurIPSConf 2020! 🧙‍♂️🧝‍♀️ Code:… https://t.co/Rr7QA5e0uH
2020-09-28
@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
@KirkDBorne
Free online eBook — #MachineLearning from Scratch: https://t.co/VAgDA0v78O by Daniel Friedman via @DataScienceCtrl… https://t.co/pSJQ1GFc1D
2020-09-21
@KirkDBorne
FREE 185-page PDF: A Comprehensive Guide to #MachineLearning → https://t.co/iZsREscT9v —————— #BigData #DataScience… https://t.co/tVSrBI9vP6
2020-09-17
@joisino_
NeurIPS 2020 に主著論文が採択されました🎉🎉🎉 https://t.co/pjt1P79wu3
2020-09-26
@MSFTResearch
New features released today in Microsoft ML for Apache Spark include unsupervised outlier detection, cybersecurity,… https://t.co/5kJydSnb12
2020-09-21
@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
Redefining #Leadership in the Age of #ArtificialIntelligence https://t.co/oHegqe2Cqk #fintech #AI… https://t.co/R4tgsfPduZ
2020-09-26
@KirkDBorne
Free online eBook — #MachineLearning from Scratch: https://t.co/VAgDA0v78O by Daniel Friedman via @DataScienceCtrl… https://t.co/rGgpWoEsQ1
2020-09-25
@SpirosMargaris
Rebooting the post- #pandemic enterprise with #AI automation https://t.co/kjkGd5RZRi #fintech… https://t.co/nYHly8xg7R
2020-09-25
@KirkDBorne
Free online eBook — #MachineLearning from Scratch: https://t.co/VAgDA0v78O by Daniel Friedman via @DataScienceCtrl… https://t.co/N7sCUxoDE4
2020-09-16
@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
Comprehensive Guide to Stochastic Gradient Descent #Algorithms: https://t.co/rLFGoXZCoB by @GiuseppeB —————… https://t.co/ejb4AH5nMn
2020-09-24
@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
@SpirosMargaris
Here’s why #AI needs a more diverse #workforce https://t.co/KeDn9bwTR5 #fintech #ArtificialIntelligence… https://t.co/9iIWJwPd8E
2020-09-21
@fcain
A balloon mission that could try to confirm life on Venus - https://t.co/V2ocrthKAq https://t.co/BQBr6yEoBO
2020-09-25
@mark_riedl
This paper is 🔥 https://t.co/JIe4RSfb2O
2020-09-17
@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
@SpirosMargaris
Artificial Intelligence for #PrecisionMedicine and Better #Healthcare https://t.co/Qn9SxVCrRu #fintech… https://t.co/r7TlCcU087
2020-09-28
@ylecun
@roydanroy Tons of those in France when I grew up.
2020-09-18
@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
@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
@ylecun
Advocating for whole mouse brain connectomics, with many distinguished colleagues. https://t.co/TDz3vChifb
2020-09-17

Hot Papers

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
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi
2020-09-21 Super 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 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
Weird AI Yankovic: Generating Parody Lyrics
Mark Riedl
2020-09-25 Hot
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2020-09-27 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
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul
2020-09-25 Hot
RDF2Vec Light -- A Lightweight Approachfor Knowledge Graph Embeddings
Jan Portisch, Michael Hladik, Heiko Paulheim
2020-09-16 Hot
Overfit Neural Networks as a Compact Shape Representation
Thomas Davies, Derek Nowrouzezahrai, Alec Jacobson
2020-09-17 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
Texture Memory-Augmented Deep Patch-Based Image Inpainting
Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy
2020-09-28 Hot
EvolGAN: Evolutionary Generative Adversarial Networks
Baptiste Roziere, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jeremy Rapin, Mariia Zameshina, Olivier Teytaud
2020-09-28 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
Structure Aware Negative Sampling in Knowledge Graphs
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose
2020-09-23 Hot
Path Planning using Neural A* Search
Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki
2020-09-16 Hot
Local Context Attention for Salient Object Segmentation
Jing Tan, Pengfei Xiong, Yuwen He, Kuntao Xiao, Zhengyi Lv
2020-09-24 Hot
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
Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News
Reuben Tan, Kate Saenko, Bryan A. Plummer
2020-09-16 Hot
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
SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal
Daichi Horita, Kiyoharu Aizawa
2020-09-16 Hot
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro
2020-09-21 Hot
MStream: Fast Streaming Multi-Aspect Group Anomaly Detection
Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
2020-09-17 Hot

Fresh Papers

Learning Deep ReLU Networks Is Fixed-Parameter Tractable
Sitan Chen, Adam R. Klivans, Raghu Meka
2020-09-28
A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions
Esteban Wilfredo Vilca Zuñiga, Liang Zhao
2020-09-28
On the Round Complexity of the Shuffle Model
Amos Beimel, Iftach Haitner, Kobbi Nissim, Uri Stemmer
2020-09-28
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languages
Daniel J Wu, Andrew C Yang, Vinay U Prabhu
2020-09-28
Graph Adversarial Networks: Protecting Information against Adversarial Attacks
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey Gordon, Stefanie Jegelka, Ruslan Salakhutdinov
2020-09-28
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon
Zihan Zhang, Xiangyang Ji, Simon S. Du
2020-09-28
EIS -- a family of activation functions combining Exponential, ISRU, and Softplus
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2020-09-28
A priori estimates for classification problems using neural networks
Weinan E, Stephan Wojtowytsch
2020-09-28
Parameter Experimental Analysis of the Reservoirs Observers using Echo State Network Approach
Diana C. Roca Arroyo, Josimar E. Chire Saire
2020-09-28
Efficient estimation of the ANOVA mean dimension, with an application to neural net classification
Christopher Hoyt, Art B. Owen
2020-09-28
High-Resolution Poverty Maps in Sub-Saharan Africa
Kamwoo Lee, Jeanine Braithwaite
2020-09-28
Mehler's Formula, Branching Process, and Compositional Kernels of Deep Neural Networks
Tengyuan Liang, Hai Tran-Bach
2020-09-28
ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge
Punit Rathore, James C. Bezdek, Paolo Santi, Carlo Ratti
2020-09-28
Siamese Capsule Network for End-to-End Speaker Recognition In The Wild
Amirhossein Hajavi, Ali Etemad
2020-09-28
Student Engagement Detection Using Emotion Analysis, Eye Tracking and Head Movement with Machine Learning
Prabin Sharma, Shubham Joshi, Subash Gautam, Sneha Maharjan, Vitor Filipe, Manuel J. C. S. Reis
2020-09-28
Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation
Matthew James Vowels, Necati Cihan Camgoz, Richard Bowden
2020-09-28
Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning
Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek
2020-09-28
A complete character recognition and transliteration technique for Devanagari script
Jasmine Kaur, Vinay Kumar
2020-09-28
Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking
Kiran Raja, Matteo Ferrara, Annalisa Franco, Luuk Spreeuwers, Illias Batskos, Florens de Wit Marta Gomez-Barrero, Ulrich Scherhag, Daniel Fischer, Sushma Venkatesh, Jag Mohan Singh, Guoqiang Li, Loïc Bergeron, Sergey Isadskiy, Raghavendra Ramachandra, Christian Rathgeb, Dinusha Frings, Uwe Seidel, Fons Knopjes, Raymond Veldhuis, Davide Maltoni, Christoph Busch
2020-09-28
ConvSequential-SLAM: A Sequence-based, Training-less Visual Place Recognition Technique for Changing Environments
Mihnea-Alexandru Tomită, Mubariz Zaffar, Michael Milford, Klaus McDonald-Maier, Shoaib Ehsan
2020-09-28
Energy-based Surprise Minimization for Multi-Agent Value Factorization
Karush Suri, Xiao Qi Shi, Konstantinos Plataniotis, Yuri Lawryshyn
2020-09-28
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders
Mo Han, Ozan Ozdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2020-09-28
Towards a Modular Ontology for Space Weather Research
Cogan Shimizu, Ryan McGranaghan, Aaron Eberhart, Adam C. Kellerman
2020-09-28
Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2020
Salvatore Giorgi, Sharath Chandra Guntuku, Muhammad Rahman, McKenzie Himelein-Wachowiak, Amy Kwarteng, Brenda Curtis
2020-09-28
Arabic Handwritten Character Recognition based on Convolution Neural Networks and Support Vector Machine
Mahmoud Shams, Amira. A. Elsonbaty, Wael. Z. ElSawy
2020-09-28
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks
Arash Rahnama, Andrew Tseng
2020-09-28
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020-09-28
Variance Reduced Advantage Estimation with $δ$ Hindsight Credit Assignment
Kenny Young
2020-09-28
Why resampling outperforms reweighting for correcting sampling bias
Jing An, Lexing Ying, Yuhua Zhu
2020-09-28
The Smart Parking Management System
Amira. A. Elsonbaty, Mahmoud Shams
2020-09-28

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
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon
Zihan Zhang, Xiangyang Ji, Simon S. Du
2020-09-28
Modeling 3D Shapes by Reinforcement Learning
Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner
2020-09-17
Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning
Lin Guan, Mudit Verma, Sihang Guo, Ruohan Zhang, Subbarao Kambhampati
2020-09-25
RL STaR Platform: Reinforcement Learning for Simulation based Training of Robots
Tamir Blum, Gabin Paillet, Mickael Laine, Kazuya Yoshida
2020-09-21
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund
2020-09-24 Hot
Continual Model-Based Reinforcement Learning with Hypernetworks
Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti
2020-09-25
Deep Reinforcement Learning for Process Synthesis
Laurence Illing Midgley
2020-09-23
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
2020-09-26
Virtual Experience to Real World Application: Sidewalk Obstacle Avoidance Using Reinforcement Learning for Visually Impaired
Faruk Ahmed, Md Sultan Mahmud, Kazi Ashraf Moinuddin, Mohammed Istiaque Hyder, Mohammed Yeasin
2020-09-27
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
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach
Beltran-Hernandez Cristian Camilo, Damien Petit, Ixchel G. Ramirez-Alpizar, Kensuke Harada
2020-09-25
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
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control
Ibrahim Ahmed, Marcos Quinones-Grueiro, Gautam Biswas
2020-09-26
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 Hot
Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
Feng Tao, Yongcan Cao
2020-09-22
Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
Feng Tao, Yongcan Cao
2020-09-21
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
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning
William Agnew, Pedro Domingos
2020-09-28
A Contraction Approach to Model-based Reinforcement Learning
Ting-Han Fan, Peter J. Ramadge
2020-09-18

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
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT
Alexandra Chronopoulou, Dario Stojanovski, Alexander Fraser
2020-09-25
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
Unsupervised Translation of Programming Languages
Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, Guillaume Lample
2020-09-22
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 Hot
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
RobBERT: a Dutch RoBERTa-based Language Model
Pieter Delobelle, Thomas Winters, Bettina Berendt
2020-09-16
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
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
Towards a Natural Language Query Processing System
Chantal Montgomery, Haruna Isah, Farhana Zulkernine
2020-09-25
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
Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning
Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek
2020-09-28
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick, Hinrich Schütze
2020-09-15 Hot
Chart-based Zero-shot Constituency Parsing on Multiple Languages
Taeuk Kim, Bowen Li, Sang-goo Lee
2020-09-22
Grounded Compositional Outputs for Adaptive Language Modeling
Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith
2020-09-24 Hot
Multi-timescale representation learning in LSTM Language Models
Shivangi Mahto, Vy A. Vo, Javier S. Turek, Alexander G. Huth
2020-09-27
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
Shuhei Kurita, Kyunghyun Cho
2020-09-16 Hot
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
Shuhei Kurita, Kyunghyun Cho
2020-09-23
RecoBERT: A Catalog Language Model for Text-Based Recommendations
Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
2020-09-25
SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge
Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang
2020-09-24
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh
2020-09-23
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
Novel Keyword Extraction and Language Detection Approaches
Malgorzata Pikies, Andronicus Riyono, Junade Ali
2020-09-24 Hot
On the Ability of Self-Attention Networks to Recognize Counter Languages
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
2020-09-23 Hot
Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
Ehsan Doostmohammadi, Minoo Nassajian
2020-09-22
Latin BERT: A Contextual Language Model for Classical Philology
David Bamman, Patrick J. Burns
2020-09-21
iNLTK: Natural Language Toolkit for Indic Languages
Gaurav Arora
2020-09-26
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Sam Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith
2020-09-24 Hot