Hot Tweets

@AndrewYNg
No we're not, Mr. President. Living in California, I will keep working to benefit all Americans and all people ever… https://t.co/3P0m0HwUUH
2020-10-12 Super Hot
@AndrewYNg
Fun article about my amazing father, who has completed 146 online courses! (I also talk about this in today's editi… https://t.co/wITh0vGaY6
2020-10-14 Super Hot
@AndrewYNg
What are your favorite AI technology breakthroughs or demos from the past year? Would love to hear particularly if… https://t.co/8jqUdhstKG
2020-10-11 Super Hot
@c_drosten
Ein wichtiger Beitrag aus der Gruppe von Viola Priesemann. https://t.co/VxnREbAEkb
2020-10-16 Super Hot
@ylecun
Videos, Jupyter notebooks, and transcripts in 11 languages of my NYU course on Deep Learning, taught with @alfcnz l… https://t.co/zvH4WYFqmD
2020-10-07 Super Hot
@ylecun
Using deep learning to find new compounds that can catalyze the production of hydrogen and fight climate change. A… https://t.co/ZM1z56hchP
2020-10-14 Super Hot
@ylecun
Code can now be attached to ArXiv papers through a partnership between ArXiv and FB's @paperswithcode https://t.co/4QyEaY6UGU
2020-10-08 Super Hot
@ylecun
It's become so common and standard that you don't need to mention the name any more. As in, we don't say "electroni… https://t.co/h2FJI6pOlO
2020-10-08 Hot
@ylecun
An open-source PyTorch library for Graph Transformer Networks. Allows you to build DL systems that perform operati… https://t.co/keFzNAA90Y
2020-10-08 Hot
@ylecun
Energy-Based Models FTW. https://t.co/Uvbxs9N6MN
2020-10-09 Hot
@ylecun
Facebook AI's "Papers with Code" partnered with ArXiv on a new feature to attach code to an arXiv paper. https://t.co/HgtXDyYSkw
2020-10-08 Hot
@fcain
The amino acid glycine has been detected in the atmosphere of the Venus - https://t.co/SDk8FZYplv https://t.co/xtms4LoMUI
2020-10-14 Hot
@ylecun
@drkatedevlin The news, good or bad, are: (1) FB, indeed, does *not* listen to your conversations. (2) FB can do… https://t.co/x6oyawgMjD
2020-10-08 Hot
@ylecun
Republicans are bad for your health. (total Covid cases per capita in US states with the most cases). https://t.co/D7WSP6l3H2
2020-10-13 Hot
@DeepMind
While language models are capable of generating coherent texts, they can internalise social biases present in the t… https://t.co/WC7CW4CAqL
2020-10-16 Hot
@KirkDBorne
Make Your Twitter Feed Artificial Intelligence-Friendly: https://t.co/wMFozoC82I —————— #BigData #DataScience #AI… https://t.co/847dJRa1mG
2020-10-17 Hot
@SpirosMargaris
AI #cameras introduced in #London to monitor #socialdistancing and lockdown restrictions… https://t.co/XxShFFOqUs
2020-10-09 Hot
@engineers_feed
Astronomers Report That Venus’ Atmosphere Contains an Amino Acid Found in DNA. Amino acids are considered to be pri… https://t.co/3PL4IhSxlM
2020-10-18 Hot
@ylecun
M2M-100 open-source translation system from Facebook AI. Translates to and from 100 languages directly. https://t.co/FhxxkJYzy2
2020-10-20 Hot
@AntonioParis
Our latest research concluded lava tubes on #Mars can be leveraged as natural radiation shelters and habitats for a… https://t.co/yq6h3oOlGj
2020-10-14 Hot
@NandoDF
The Next Generation Of Artificial Intelligence: on self-supervised learning, federated learning and transformers https://t.co/NwCubzJcn8
2020-10-13 Hot
@KirkDBorne
50 Shades of Data #AI #Analytics #BI #BigData #Database #DataEngineering #DataLake #DataScience #DataWarehouse… https://t.co/bMpYvdBe9u
2020-10-11 Hot
@skdh
"Our results are in conflict with the cosmological principle, a foundational assumption of the concordance LambdaCD… https://t.co/UjH7AOwm1Z
2020-10-07 Hot
@ylecun
Better understanding of momentum methods in deep learning, by Aaron Defazio. https://t.co/NotNM16TSm
2020-10-16 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/VOgA0wB8pE
2020-10-14 Hot
@SpirosMargaris
Facebook's nudity-spotting #AI #mistook a #photo of some onions for 'sexually suggestive' content… https://t.co/TGAAgNbb9p
2020-10-10 Hot
@KirkDBorne
[UPDATED] Free PDF #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/LMSNV3xAcx
2020-10-16 Hot
@nntaleb
2) My papers: a) original https://t.co/hHkbsAaGAW b) debate https://t.co/V8iyaFMV1R
2020-10-16 Hot
@KirkDBorne
Useful Comparison Tables for #AI, #MachineLearning, #DeepLearning, #Algorithms, #DataScience, #IoT, #RPA, and more:… https://t.co/CY41L4IZ9t
2020-10-20 Hot
@ylecun
Teaching your car to drive with PyTorch. https://t.co/MuNyaDsEbZ
2020-10-07 Hot
@NandoDF
Bridging the gap between causal inference with neural networks and off policy evaluation in deep RL ⁦@yudapearl⁩… https://t.co/FcPeSRNS6b
2020-10-15 Hot
@skdh
F. J. Dyson: The Man who would make Patterns and Disturb the Universe https://t.co/tih3i67rrS
2020-10-16 Hot
@SpirosMargaris
The #AI landscape is shifting from #data to #knowledge. Here’s why that matters https://t.co/4tfrWijywp #fintech… https://t.co/rDLnwgQdWs
2020-10-19 Hot
@KirkDBorne
FREE 185-page PDF: A Comprehensive Guide to #MachineLearning → https://t.co/iZsREscT9v —————— #BigData #DataScience… https://t.co/423kBda7Bc
2020-10-16 Hot
@ylecun
Covid: some countries have done better than others. One country has done nothing. https://t.co/nOPkMxXVIp
2020-10-18 Hot
@ylecun
Exactly. A convergence between ConvNets, Transformers viewed as graph NN. https://t.co/Zyy8UijdyD
2020-10-08
@nntaleb
The ungated version of "On single point forecasts for fat-tailed variables" is here https://t.co/0MASA5N0MS
2020-10-20
@Esri
We're bringing ready-to-use #deeplearning models to our user community through @ArcGISOnline. Get to know the first… https://t.co/89RvyheDpo
2020-10-14
@nsaphra
My weird obsession with catching an LSTM “in the act” of building syntax—explaining how the training process has an… https://t.co/NXBM0ED1m9
2020-10-12
@SpirosMargaris
Robots Use #AI to ‘Feel’ #Pain and #SelfRepair https://t.co/zu2kfsq9GN #fintech #ArtificialIntelligence… https://t.co/euk4IL1PTv
2020-10-18
@KirkDBorne
Free online eBook — #MachineLearning from Scratch: https://t.co/VAgDA0v78O by Daniel Friedman via @DataScienceCtrl… https://t.co/byypndC18i
2020-10-09
@SpirosMargaris
Why #Students must 'learn how to learn' as #skills become obsolete within two years, says technologist… https://t.co/Ev831pGmgu
2020-10-13
@KirkDBorne
[Slide deck] Infrastructure for Extreme Scale #MachineLearning within the #ApacheKafka Open Source Ecosystem:… https://t.co/6S68WBXaVq
2020-10-17
@KirkDBorne
Free online eBook — #MachineLearning from Scratch: https://t.co/VAgDA0v78O by Daniel Friedman via @DataScienceCtrl… https://t.co/pJZgZtwiMG
2020-10-07
@ylecun
Obviously. https://t.co/Tw2RUkIf3I
2020-10-07
@svlevine
I recorded an extended version of my offline RL talk, as practice for a live presentation earlier this week:… https://t.co/aJtrTJKx4k
2020-10-20
@ylecun
A new bot from FAIR that plays Diplomacy at human level. Congrats @polynoamial ! https://t.co/9EHS5HKn8c
2020-10-08
@mgeha
Three years ago we sketched a plot on a whiteboard at @FlatironCCA that I really wanted to see. @accidentalnova p… https://t.co/csceuwyAJw
2020-10-08
@PlanetDr
🤔 https://t.co/nRsCgU36wK
2020-10-21
@upura0
2020年8月にarXiv投稿された「Top2Vec」 https://t.co/LpQIHYMzsG の紹介記事。トピックモデルの一種らしい。GitHubのREADME https://t.co/sGYoydHxHE が詳しい。… https://t.co/8Tch1y9EQW
2020-10-18
@ylecun
Facebook parternaire de l'Institut Montaigne pour former les français aux bases de l'IA. https://t.co/KzGRrCg3zt
2020-10-13
@KirkDBorne
Artificial Intelligence with #Python — Your complete guide to building intelligent apps: https://t.co/KMlC9PI8DV… https://t.co/0qhRe6Bpab
2020-10-07
@ylecun
@PrabhhavSharma @AndrewYNg The kudos go to my FAIR & NYU colleagues who worked on the project. I deserve no credit.
2020-10-12
@KirkDBorne
Difference Between #DeepLearning and #MachineLearning in one Infographic: https://t.co/bpqHbWDQns ————— #BigData… https://t.co/gKS2YJAZtT
2020-10-13
@KirkDBorne
Sentiment Analysis using #DeepLearning: https://t.co/mqog3I8OHy ———— #abdsc #BigData #TextAnalytics #DataScience… https://t.co/cZ2DoDa4tZ
2020-10-07
@SpirosMargaris
Top #Twitter Accounts On #ArtificialIntelligence One Must Follow https://t.co/4R9YEATtO0 #fintech #AI… https://t.co/e6FHoR8i2z
2020-10-07
@HayatoChiba
https://t.co/k0YmjZNv7v 数年ぶりにパンルヴェ方程式の論文を書いた。組み合わせ論的な自然数のデータだけからパンルヴェ方程式を分類しようという試み。試んだだけで実験数学の域を出ていないけど、分類表は見ていて飽きない。
2020-10-20
@sjmielke
"Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!" EMNLP short pap… https://t.co/jsy2zbnyO2
2020-10-13
@KirkDBorne
Make Your Twitter Feed Artificial Intelligence-Friendly: https://t.co/wMFozoC82I —————— #BigData #DataScience #AI… https://t.co/sxvzQYl3bP
2020-10-20
@chemaalonso
El lado del mal - Machine Learning: Protección de redes neuronales en algoritmos de Deep Learning frente a los ataq… https://t.co/HYZ3lHcQz4
2020-10-10
@nizumical
https://t.co/TTekGsAc5I Self-supervised Learning: Generative or Contrastive 全フィールドの自己教師あり学習手法が網羅された論文、この表だけ見ていただくと分… https://t.co/H1Xy1l5vnh
2020-10-11
@Noahpinion
Amazing trolling here https://t.co/44gQBSKqvJ https://t.co/SNRg0rcPGN
2020-10-14
@AkiraTOSEI
https://t.co/7juK0Hum76 CNNのフィルターを１フィルターが1つのカテゴリを担当するような制約をかけることで、解釈性能を向上させる研究。最終層のフィルターに[0,1]の学習可能な行列をかけることにより各フィル… https://t.co/DIuzYPu909
2020-10-08
@ylecun
@mmoyr @KyleCranmer ML is like many things: you can always do it wrong.
2020-10-09
@WikiResearch
"Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from… https://t.co/3igGVddk3J
2020-10-07
@SpirosMargaris
Artificial Intelligence #Governance: How To Get It Right https://t.co/fhvPOvgNak #fintech #AI… https://t.co/VmSbxdSKru
2020-10-14
@duetosymmetry
ICYMI: Sam is feeling feisty https://t.co/uNuG8j2JSp https://t.co/yOazo2WTxV
2020-10-20
@RanjitJhala
I’m excited (and TBH, exhausted) to report that @nikivazou and I wrote a “nanopass style” tutorial on how to imple… https://t.co/Uga4APcwVa
2020-10-16
@Hakim770
أدق نظرية في الفيزياء (وفي تاريخ العلم كله) هي النظرية الكمية الكهروديناميكية QED، حيث أن تنبؤاتها النظرية تتطابق م… https://t.co/DkZ1CdqI3P
2020-10-17
@SpirosMargaris
Deep Learning for Virtual Try On #Clothes #Challenges and #Opportunities https://t.co/VzZUl7Cdyk #fintech #AI… https://t.co/kCIIPvvQPL
2020-10-17
@arxiv
New #arXivLabs feature provides instant access to code, thanks to @paperswithcode https://t.co/iCUANTVspp
2020-10-08
@SpirosMargaris
In a battle of AI versus #AI, #researchers are preparing for the coming wave of #deepfake propaganda… https://t.co/f4mFq6gKDR
2020-10-10
@Link4Universe
C'è una pubblicazione scientifica, ANCORA DA VERIFICARE, in cui un gruppo di ricercatori annunciano di aver trovato… https://t.co/9TwaOwBwNa
2020-10-15
@thomaskipf
We have released the code for Slot Attention (incl. pre-trained model checkpoints on CLEVR) Code:… https://t.co/2hxWNpGchX
2020-10-15
@SpirosMargaris
Voice of the Machine: #AI and the Language of Power https://t.co/8tR817tfXg #fintech #ArtificialIntelligence… https://t.co/Q5cY5jSOJk
2020-10-10
@yoavgo
finally someone did it! WFST library + backprop. very cool! (even though coming from facebook) https://t.co/4j7Nht09yN
2020-10-08
@KirkDBorne
#Google API can train smaller, faster #AI models: https://t.co/9XizXxW19F by @Kyle_L_Wiggers —————— #BigData… https://t.co/3OOMT1RNXS
2020-10-20
@hillbig
AdaBeliefは勾配が現在の予測方とあえば大きなステップ幅をとる。Adamのような適応型の速い収束、SGDの良い汎化性能、GANの安定学習を同時に達成する。 勾配をg、その移動指数平均（EMA）をmとした時、mを(g-m)^2… https://t.co/hSuMxqn52g
2020-10-18
@hardmaru
CoSE: Compositional Stroke Embeddings By treating doodles as a collection of strokes, they can use a relational mo… https://t.co/cBjh0Sj29x
2020-10-09
@KirkDBorne
Detect Fraud with #DeepLearning: https://t.co/47NCnj2Dfb ——— +See #FraudAnalytics book: https://t.co/MBKg6KN9cH ———… https://t.co/vCHVH4yrbN
2020-10-09

Hot Papers

Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision
Hao Tan, Mohit Bansal
2020-10-14 Super Hot
Resolution Dependant GAN Interpolation for Controllable Image Synthesis Between Domains
Justin N. M. Pinkney, Doron Adler
2020-10-11 Super Hot
Neural Databases
James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Halevy
2020-10-14 Super Hot
What Can We Do to Improve Peer Review in NLP?
Anna Rogers, Isabelle Augenstein
2020-10-08 Super Hot
The Cone of Silence: Speech Separation by Localization
Teerapat Jenrungrot, Vivek Jayaram, Steve Seitz, Ira Kemelmacher-Shlizerman
2020-10-12 Super Hot
Deep SVBRDF Estimation on Real Materials
Louis-Philippe Asselin, Denis Laurendeau, Jean-François Lalonde
2020-10-08 Super Hot
LaND: Learning to Navigate from Disengagements
Gregory Kahn, Pieter Abbeel, Sergey Levine
2020-10-09 Hot
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
Will Grathwohl, Jacob Kelly, Milad Hashemi, Mohammad Norouzi, Kevin Swersky, David Duvenaud
2020-10-08 Hot
Asset Price Forecasting using Recurrent Neural Networks
Hamed Vaheb
2020-10-10 Hot
High-Fidelity 3D Digital Human Creation from RGB-D Selfies
Xiangkai Lin, Yajing Chen, Linchao Bao, Haoxian Zhang, Sheng Wang, Xuefei Zhe, Xinwei Jiang, Jue Wang, Dong Yu, Zhengyou Zhang
2020-10-12 Hot
The Deep Bootstrap: Good Online Learners are Good Offline Generalizers
Preetum Nakkiran, Behnam Neyshabur, Hanie Sedghi
2020-10-16 Hot
Video Action Understanding: A Tutorial
Matthew Hutchinson, Vijay Gadepally
2020-10-13 Hot
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wüthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer
2020-10-08 Hot
NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun
2020-10-15 Hot
GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering
Alex Trevithick, Bo Yang
2020-10-09 Hot
Non-saturating GAN training as divergence minimization
Matt Shannon, Ben Poole, Soroosh Mariooryad, Tom Bagby, Eric Battenberg, David Kao, Daisy Stanton, RJ Skerry-Ryan
2020-10-15 Hot
Differentiable Causal Discovery Under Unmeasured Confounding
Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser
2020-10-14 Hot
Large Product Key Memory for Pretrained Language Models
Gyuwan Kim, Tae-Hwan Jung
2020-10-08 Hot
Deep Learning for Procedural Content Generation
Jialin Liu, Sam Snodgrass, Ahmed Khalifa, Sebastian Risi, Georgios N. Yannakakis, Julian Togelius
2020-10-09 Hot
Light Stage Super-Resolution: Continuous High-Frequency Relighting
Tiancheng Sun, Zexiang Xu, Xiuming Zhang, Sean Fanello, Christoph Rhemann, Paul Debevec, Yun-Ta Tsai, Jonathan T. Barron, Ravi Ramamoorthi
2020-10-17 Hot
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!
Jack Hessel, Lillian Lee
2020-10-13 Hot
KrigHedge: GP Surrogates for Delta Hedging
Mike Ludkovski, Yuri Saporito
2020-10-16 Hot
With Little Power Comes Great Responsibility
Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
2020-10-13 Hot
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020-10-11 Hot
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
Lukas von Stumberg, Patrick Wenzel, Nan Yang, Daniel Cremers
2020-10-13 Hot
Maximum Reward Formulation In Reinforcement Learning
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar
2020-10-08 Hot
A Human Ear Reconstruction Autoencoder
Hao Sun, Nick Pears, Hang Dai
2020-10-07 Hot
Learning Deep Features in Instrumental Variable Regression
Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
2020-10-14 Hot
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
Najoung Kim, Tal Linzen
2020-10-12 Hot
Unconstrained Text Detection in Manga
Julián Del Gobbo, Rosana Matuk Herrera
2020-10-07 Hot

Fresh Papers

SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey
2020-10-20
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition
Yu Zhang, James Qin, Daniel S. Park, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Quoc V. Le, Yonghui Wu
2020-10-20
Dual Averaging is Surprisingly Effective for Deep Learning Optimization
Samy Jelassi, Aaron Defazio
2020-10-20
Natural Language Inference with Mixed Effects
William Gantt, Benjamin Kane, Aaron Steven White
2020-10-20
Optimal Subarchitecture Extraction For BERT
Adrian de Wynter, Daniel J. Perry
2020-10-20 Hot
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
2020-10-20
Dataset-Level Attribute Leakage in Collaborative Learning
Wanrong Zhang, Shruti Tople, Olga Ohrimenko
2020-10-20
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine, Aviral Kumar, George Tucker, Justin Fu
2020-10-20
FishNet: A Unified Embedding for Salmon Recognition
Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell, Håkon Måløy, Edvard Schreiner Sjøblom
2020-10-20
Towards Maximizing the Representation Gap between In-Domain \& Out-of-Distribution Examples
Jay Nandy, Wynne Hsu, Mong Li Lee
2020-10-20
Regret-optimal control in dynamic environments
Gautam Goel, Babak Hassibi
2020-10-20
UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree
Kacper Kania, Maciej Zięba, Tomasz Kajdanowicz
2020-10-20
Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages
Yiyuan Li, Antonios Anastasopoulos, Alan W Black
2020-10-20
Investigating Cross-Domain Losses for Speech Enhancement
Sherif Abdulatif, Karim Armanious, Jayasankar T. Sajeev, Karim Guirguis, Bin Yang
2020-10-20
Are All Good Word Vector Spaces Isomorphic?
Ivan Vulić, Sebastian Ruder, Anders Søgaard
2020-10-20
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters
Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu
2020-10-20
A practical algorithm to calculate Cap Discrepancy
Milad Bakhshizadeh, Ali Kamalinejad, Mina Latifi
2020-10-20
Modeling Content and Context with Deep Relational Learning
Maria Leonor Pacheco, Dan Goldwasser
2020-10-20
Effective models and predictability of chaotic multiscale systems via machine learning
Francesco Borra, Angelo Vulpiani, Massimo Cencini
2020-10-20
Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions
Rafal Pytel, Osman Semih Kayhan, Jan C. van Gemert
2020-10-20
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang
2020-10-20
Semi-parametric $γ$-ray modeling with Gaussian processes and variational inference
Siddharth Mishra-Sharma, Kyle Cranmer
2020-10-20
Superposition for Lambda-Free Higher-Order Logic
Alexander Bentkamp, Jasmin Blanchette, Simon Cruanes, Uwe Waldmann
2020-10-20
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar
2020-10-20
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin
2020-10-20
COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach
Vishal Sharma, Curtis Dyreson
2020-10-20
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
Peng Qi, Yuhao Zhang, Christopher D. Manning
2020-10-20
Open Question Answering over Tables and Text
Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Wang, William W. Cohen
2020-10-20
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz
2020-10-20
A Lane Merge Coordination Model for a V2X Scenario
Luis Sequeira, Adam Szefer, Jamie Slome, Toktam Mahmoodi
2020-10-20

reinforcement learning

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine, Aviral Kumar, George Tucker, Justin Fu
2020-10-20
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach
Huixin Zhan, Feng Tao, Yongcan Cao
2020-10-15
An Alternative to Backpropagation in Deep Reinforcement Learning
Stephen Chung
2020-10-15 Hot
OR-Gym: A Reinforcement Learning Library for Operations Research Problems
Christian D. Hubbs, Hector D. Perez, Owais Sarwar, Nikolaos V. Sahinidis, Ignacio E. Grossmann, John M. Wassick
2020-10-17
The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI
Samuel Allen Alexander
2020-10-20
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou, Jiafan He, Quanquan Gu
2020-10-07
Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective
Dylan J. Foster, Alexander Rakhlin, David Simchi-Levi, Yunzong Xu
2020-10-07
Joint State-Action Embedding for Efficient Reinforcement Learning
Paul J. Pritz, Liang Ma, Kin K. Leung
2020-10-12
Joint State-Action Embedding for Efficient Reinforcement Learning
Paul J. Pritz, Liang Ma, Kin K. Leung
2020-10-09
Maximum Reward Formulation In Reinforcement Learning
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar
2020-10-08 Hot
Local Differentially Private Regret Minimization in Reinforcement Learning
Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
2020-10-15
Nearly Minimax Optimal Reward-free Reinforcement Learning
Zihan Zhang, Simon S. Du, Xiangyang Ji
2020-10-12
Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning
Michael Zhang
2020-10-09 Hot
Average Cost Optimal Control of Stochastic Systems Using Reinforcement Learning
Jing Lai, Junlin Xiong
2020-10-13
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier
2020-10-18
Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control
Taku Yamagata, Aisling O'Kane, Amid Ayobi, Dmitri Katz, Katarzyna Stawarz, Paul Marshall, Peter Flach, Raúl Santos-Rodríguez
2020-10-13
Nonstationary Reinforcement Learning with Linear Function Approximation
Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan
2020-10-08
Language Inference with Multi-head Automata through Reinforcement Learning
Alper Şekerci, Özlem Salehi
2020-10-20
Policy Optimization Reinforcement Learning with Entropy Regularization
Jingbin Liu, Xinyang Gu, Shuai Liu
2020-10-16
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations
Alvaro Cabrejas-Egea, Colm Connaughton
2020-10-17
Safe Reinforcement Learning with Natural Language Constraints
Tsung-Yen Yang, Michael Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
2020-10-11 Hot
Learning-Driven Exploration for Reinforcement Learning
Muhammad Usama, Dong Eui Chang
2020-10-16
Learning Retrospective Knowledge with Reverse Reinforcement Learning
Shangtong Zhang, Vivek Veeriah, Shimon Whiteson
2020-10-18
Regularized Inverse Reinforcement Learning
Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau
2020-10-07 Hot
Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li
2020-10-15 Hot
Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies
Christina X. Ji, Michael Oberst, Sanjat Kanjilal, David Sontag
2020-10-08
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Arnu Pretorius, Scott Cameron, Elan van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir
2020-10-15
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning
Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng
2020-10-19
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning
Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng
2020-10-16
Hierarchical Reinforcement Learning for Optimal Control of Linear Multi-Agent Systems: the Homogeneous Case
Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty
2020-10-16

language

From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?
Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe
2020-10-14 Hot
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision
Hao Tan, Mohit Bansal
2020-10-14 Super Hot
Exploiting Spectral Augmentation for Code-Switched Spoken Language Identification
Pradeep Rangan, Sundeep Teki, Hemant Misra
2020-10-14 Hot
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization
Shiyue Zhang, Benjamin Frey, Mohit Bansal
2020-10-09
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only
Ziyi Liu, Giannis Karamanolakis, Daniel Hsu, Luis Gravano
2020-10-11
Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification using Pre-trained Language Models
Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang, Yu Sun
2020-10-07
Reference Language based Unsupervised Neural Machine Translation
Zuchao Li, Hai Zhao, Rui Wang, Masao Utiyama, Eiichiro Sumita
2020-10-09
Complete Multilingual Neural Machine Translation
Markus Freitag, Orhan Firat
2020-10-20
Multilingual Factual Knowledge Retrieval from Pretrained Language Models
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig
2020-10-13 Hot
RNNs can generate bounded hierarchical languages with optimal memory
John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning
2020-10-15 Hot
Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource Language
Dan John Velasco
2020-10-13
The Grammar of Emergent Languages
Oskar van der Wal, Silvan de Boer, Elia Bruni, Dieuwke Hupkes
2020-10-09
Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource Language
Dan John Velasco
2020-10-14
Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages
Yiyuan Li, Antonios Anastasopoulos, Alan W Black
2020-10-20
Towards Machine Translation for the Kurdish Language
Sina Ahmadi, Mariam Masoud
2020-10-12
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig
2020-10-14
Safe Reinforcement Learning with Natural Language Constraints
Tsung-Yen Yang, Michael Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
2020-10-11 Hot
Detecting ESG topics using domain-specific language models and data augmentation approaches
Tim Nugent, Nicole Stelea, Jochen L. Leidner
2020-10-16
Scenic: A Language for Scenario Specification and Data Generation
Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
2020-10-13
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
2020-10-08
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
Nikunj Saunshi, Sadhika Malladi, Sanjeev Arora
2020-10-07 Hot
BioMegatron: Larger Biomedical Domain Language Model
Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani
2020-10-12 Hot
Data and Representation for Turkish Natural Language Inference
Emrah Budur, Rıza Özçelik, Tunga Güngör, Christopher Potts
2020-10-20
Detect All Abuse! Toward Universal Abusive Language Detection Models
Kunze Wang, Dong Lu, Soyeon Caren Han, Siqu Long, Josiah Poon
2020-10-09
Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking
Elliot Schumacher, James Mayfield, Mark Dredze
2020-10-19
BioMegatron: Larger Biomedical Domain Language Model
Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani
2020-10-14
Toward Cross-Lingual Definition Generation for Language Learners
Cunliang Kong, Liner Yang, Tianzuo Zhang, Qinan Fan, Zhenghao Liu, Yun Chen, Erhong Yang
2020-10-12
Detect All Abuse! Toward Universal Abusive Language Detection Models
Kunze Wang, Dong Lu, Soyeon Caren Han, Siqu Long, Josiah Poon
2020-10-08 Hot
Word Level Language Identification in English Telugu Code Mixed Data
Sunil Gundapu, Radhika Mamidi
2020-10-09
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
Shuhei Kurita, Kyunghyun Cho
2020-10-08