Hot Tweets

@AndrewYNg
126 million miles away, Perseverance decelerated from 12,000 miles/hour to 0 miles/hour to land safely. Great job @NASA team!
2021-02-18 Super Hot
@karpathy
Tonight at 7pm @jcjohnss and I will hang out on Clubhouse for a quasi-CS231n-like reading group going through techn… https://t.co/HzFObpGVnt
2021-02-13 Super Hot
@MIT_CSAIL
VIDEO: MIT researcher shows how dangerously easy it is to create a deep-fake of anyone, from @taylorswift13 &… https://t.co/W61hy6mjze
2021-02-16 Super Hot
@AndrewYNg
Seeing these exuberant, cheering faces is a great reminder that Perseverance's technology success is also a human s… https://t.co/paopAao9rw
2021-02-18 Super Hot
@emollick
Study of 6 billion phone calls shows Dunbar’s Number: you have about 150 relationships. Roughly: 💏5 very close ones… https://t.co/TvpZbmIfGc
2021-02-20 Super Hot
@KirkDBorne
[UPDATED Free PDF] #DataScience Cheat Sheet covers concepts in Statistical Learning, #MachineLearning,… https://t.co/ssTp8JUKcu
2021-02-15 Hot
@MicrobiomDigest
Preprint: Learning to identify image manipulations in scientific publications https://t.co/ihIdKtG245 https://t.co/syFmAJ1jY6
2021-02-26 Hot
@AndrewYNg
Bearing is using AI to streamline maritime shipping operations. The shipping industry is a good example of a large,… https://t.co/mHCWfK1avu
2021-02-16 Hot
@AntonioParis
The more we learn about our own planet ...the more we understand #Mars. We call this "comparative planetology". Rea… https://t.co/vZTkLLZxCj
2021-02-13 Hot
@KirkDBorne
The 20 Best #DataScience eBooks (PDF Downloads) available FREE online: https://t.co/IuJFINp0mj ————— #BigData #AI… https://t.co/pLBCT0GazR
2021-02-15 Hot
@KirkDBorne
The Map of Artificial Intelligence (2020): https://t.co/OCgnkV3LKO by @AiTerritory #AI #MachineLearning… https://t.co/tU1E1oFbNA
2021-02-16 Hot
@ylecun
Yeah, English. WTF? https://t.co/E9yOhj3maO
2021-02-13 Hot
@KirkDBorne
Training #NeuralNetworks burns through a lot of energy. As the #AI field grows, AI researchers must work to keep it… https://t.co/J26MJp7YEk
2021-02-20 Hot
@SpirosMargaris
This #AI reads #children's #emotions as they learn https://t.co/veFYUHm7qP #fintech #ArtificialIntelligence… https://t.co/3tNqbBxByl
2021-02-17 Hot
@ylecun
Huge progress in protein contact prediction using transformer architectures whose input is not a single protein, bu… https://t.co/NNc8vE86pN
2021-02-16 Hot
@ylecun
Facebook AI announces a new partnership with University College London to fund PhD students in the UK. @egrefen,… https://t.co/8y2IURcAlx
2021-02-23 Hot
@ylecun
Not wrong. https://t.co/0xUwXf32ja
2021-02-13 Hot
@ylecun
Implicit shape rendering now available from PyTorch3D. https://t.co/5pDOxqqbMN
2021-02-23 Hot
@ylecun
Pie chart = camembert in French. A little-known fact, except for anyone who reads French. https://t.co/88Nlt6fQzo
2021-02-14 Hot
@KirkDBorne
"#AI for People and Business — Framework for Success" by @alexcastrounis 🟢The Trailer: https://t.co/UTemTbByyc 🟠The… https://t.co/8rCCHFHojD
2021-02-13 Hot
@ylecun
A cool visual explanation of convolutional networks. https://t.co/9ECK7wpP4B
2021-02-19 Hot
@ylecun
Living in a Republican state is bad for your health. The best predictor for the percentage of covid infections sinc… https://t.co/XKt8d4raGp
2021-02-21 Hot
@SpirosMargaris
Artificial Intelligence And The End Of #Work https://t.co/7ZJb06J6ia #fintech #futureofwork #AI… https://t.co/pExKYuZ4Gz
2021-02-16 Hot
@ylecun
Amazing video of Perseverance landing on Mars. https://t.co/OnULAER9Zy
2021-02-22 Hot
@googledevs
💭 Intro to #DeepLearning Tune in to #TFEverywhere 2021 North America on February 26 to hear @random_forests speak… https://t.co/aDDExsr76s
2021-02-19 Hot
@skdh
Paper about how to make sense of warp drives which I summarized in a video a few weeks ago… https://t.co/zw2SWg7rI9
2021-02-16 Hot
@yudapearl
I am in receipt of a draft of new ML book "PATTERNS, PREDICTIONS, AND ACTIONS: A story about machine learning" by M… https://t.co/Njr7mDmJYm
2021-02-14 Hot
@SpirosMargaris
Google has #invented a tool which allows you to #hear #colour https://t.co/eOncAp792b #fintech #AI… https://t.co/bfDjtgP7At
2021-02-24 Hot
@SciBry
Our exciting new discovery, led by Vikram Ravi and @hannahdykaar. We found a massive explosion, 480 million light y… https://t.co/OAYNxnIhkS
2021-02-22
@SpirosMargaris
In #AI (Can) We #Trust? https://t.co/80RaQ15ngD #fintech #ArtificialIntelligence #MachineLearning #DeepLearning… https://t.co/NggT5XVXhT
2021-02-21
@SpirosMargaris
A Bird’s Eye-View On Use Of #AI & #ML In #Airlines #Industry https://t.co/UVT2MqRqwU #fintech… https://t.co/FT03KLhM2I
2021-02-14
@SpirosMargaris
10 Ways #AI And #MachineLearning Are Improving #Marketing In 2021 https://t.co/zu4WarFYNg #fintech… https://t.co/NDNR85mbjo
2021-02-22
@KirkDBorne
#Jupyter Notebooks — Fundamentals of #MachineLearning and #DeepLearning: https://t.co/0cueGjpYOI ——————— #abdsc… https://t.co/SJxOpc2mXp
2021-02-14
@AndrewYNg
@insanedreamer @erikbryn @ESYudkowsky @chrmanning @FutureJurvetson @tegmark If GPT-3 reads The Matrix script and wr… https://t.co/OwxZ4bKb6p
2021-02-24
@SpirosMargaris
This @DeepMind #scientist's landmark #book on #AI #influenced hit #movie #ExMachina. Read it for #free.… https://t.co/H8gSpOX3ZV
2021-02-15
@ylecun
A Camembert of pie chart names. https://t.co/3lF7bKdIc2
2021-02-14
@ylecun
Third Habitat challenge launched. https://t.co/50OW0QbYy5
2021-02-17
@ClareCraigPath
The burden of proof for a test is critical to minimizing false positives. The more genes that need to be positive t… https://t.co/0dgFosfltm
2021-02-25
@KirkDBorne
Here are some of my favorite books & things: https://t.co/DBekUxD8JO ...covering #BigData #DataScience #AI #Bots… https://t.co/W5Bohgu8gb
2021-02-16
@SpirosMargaris
Why #Regulators and decisionmakers still don't 'get' #AI technology https://t.co/HDgOOdpUgj #fintech #insurtech… https://t.co/vko3qJeIn5
2021-02-26
@SpirosMargaris
This #QuantumBrain Would Mimic Our Own to Speed Up #AI https://t.co/MlrugxqTZ0 #fintech #ArtificialIntelligence… https://t.co/da5xnBrk2s
2021-02-13
@ylecun
Does anyone still believe whatever these people are saying? No one should. Believing them kills. https://t.co/bXQIqAiqnV
2021-02-22
@SpirosMargaris
Is #China Emerging as the Global Leader in #AI? https://t.co/uqSgFLErBC #fintech #ArtificialIntelligence… https://t.co/TN5bEg4AZP
2021-02-18
@SpirosMargaris
AI smashes #videogame high scores by remembering its past #success https://t.co/hmxS5rzlqg #fintech @Sparkes… https://t.co/Lki5EsCG7o
2021-02-25
@NandoDF
Highly deserved. It was a pleasure watching John in his regular standup meetings - energetic, smart, vision-driven,… https://t.co/4liHWRqehN
2021-02-18
@SpirosMargaris
Good read Who Should Stop #Unethical #AI? https://t.co/I1C5fIYZNh #fintech #ArtificialIntelligence… https://t.co/sL7Px6gXtD
2021-02-15
@ylecun
43 Republican senators cowardly prefer to kowtow to the authoritarian tendencies of their deluded base than to stan… https://t.co/FzurGBZaX0
2021-02-14
@SpirosMargaris
Good read Make way for #robots https://t.co/zhtRwjchRK #fintech @MIT #ArtificialIntelligence #MachineLearning… https://t.co/ufqLvB8xcV
2021-02-24
@ylecun
Explaining again that WhatsApp *cannot* read your private messages nor listen to your conversations because they en… https://t.co/wMXkIBkCKZ
2021-02-18
@CryptoSeq
1/ @MIT discussing the need for blockchain gateways to achieve interoperability across different blockchain network… https://t.co/QoxQ6k4I10
2021-02-13
@KirkDBorne
Awesome 296-page eBook >> "Patterns, predictions, and actions: A story about #MachineLearning"… https://t.co/GSLYZi0BJp
2021-02-16
@tdietterich
Every once in a while, something amazing comes out on @arxiv. Check out this cool new ML book by @mrtz and… https://t.co/2yN5SN41M3
2021-02-14
@NVIDIAAI
[email protected] Deep Learning Institute opens up its popular workshops to the public. Gain new skills in #deeplearning,… https://t.co/4HO4QMuxZq
2021-02-19
@ESYudkowsky
FYI, I don't think I've ever "self-described" as an "AI researcher", unless it was before my memory. The loftiest… https://t.co/UxN8ssIDs5
2021-02-13
@SpirosMargaris
Why #AI progress depends on us using #less #data, not more https://t.co/sr5w90lBZI #fintech… https://t.co/bUAUoWd00q
2021-02-14
@ylecun
@roydanroy ConvNets were under patent coverage between 1990 and 2007. Between 1996 and 2007, the patent was owned b… https://t.co/Dq0j931tf8
2021-02-18
@ylecun
Congrats Sarah and @ludo_righetti https://t.co/oB2730XLOk
2021-02-15
@SpirosMargaris
Spy agency: #ArtificialIntelligence is already a vital part of our missions https://t.co/qrI0yCxhtK #fintech #AI… https://t.co/sj15Xg0KHE
2021-02-26
@ylecun
@roydanroy @hardmaru Nope. The mid-life crisis thing to do is "second-hand AGI": pay people to work on AGI for you.
2021-02-23
@hardmaru
Hierarchical variational autoencoders are getting more powerful every day. This paper looks at ways to convert a VA… https://t.co/Di1vy9IYDS
2021-02-25
@SpirosMargaris
Can you #Hack #AI? Yes, and #DeepLearning is Being Used to Both Attack and #Defend https://t.co/u6swGhusw0… https://t.co/fglcQS7aJ7
2021-02-23
@JSEllenberg
On arXiv today: @mrtz and @beenwrekt's new textbook on machine learning. I learned a TON from this. https://t.co/vJdVMiTjJU
2021-02-14
@narita_yusuke
【市場が効率的ならP=NP】科学界最大の未解決問題P=NP予想。トレーダーや経済学者を惑わしつづける効率的市場仮説（=現在の価格は過去の情報をすべて反映している）。2つは同じ予想だとわかったそうです。市場が効率的なら、市場を使って… https://t.co/qKN7PKgKGu
2021-02-20
@MelMitchell1
New paper from me: "Abstraction and Analogy-Making in Artificial Intelligence": https://t.co/LJvjN7Q78C 🧵 (1/4)
2021-02-23
@SpirosMargaris
AI reads #children's #emotions as they learn https://t.co/S96P36CuX3 #fintech #ArtificialIntelligence… https://t.co/ZLSXeUAdfJ
2021-02-20
@SpirosMargaris
Outsmarting #MachineLearning #Biases: A Checklist https://t.co/sBOXSGJSXI #fintech #AI #ArtificialIntelligence… https://t.co/O606WgKbNm
2021-02-13
@wielandbr
Why is contrastive representation learning so useful? Our latest work shows that contrastive learning can invert th… https://t.co/4D2ONWclPr
2021-02-18
@SpirosMargaris
Can We #Trust #AI? When AI Asks For #Human #Help https://t.co/SYAYdjkE3e #fintech #ArtificialIntelligence… https://t.co/dpdLqyrbte
2021-02-23
@ylecun
@WaterFront8 @roydanroy You are soooooo wrong about this.
2021-02-23
@SpirosMargaris
AI profs: Beware “Black Ball” Tech That Could Destroy the Planet https://t.co/xZNpybCMyl #fintech #AI… https://t.co/ALpdrEnSVQ
2021-02-15
@fluffypony
Great paper by @ayeletmz & @Avivz78 quantifying the congestion attack against Lightning that was noted a few years… https://t.co/USV0jGBQRV
2021-02-20
@WikiResearch
"Volunteer contributions to #Wikipedia increased during COVID-19 mobility restrictions" Wikipedia community respond… https://t.co/dc0ra6aW4s
2021-02-22
@SpirosMargaris
This flying #AI #robot can pick fruit preventing waste in the process https://t.co/qmh6AUb5DG #fintech… https://t.co/fFKD6vE9aj
2021-02-20
@Esri
This blog post will be the first in a three-part series diving deeper into the #deeplearning process, starting with… https://t.co/yUBxwFavPL
2021-02-24
@dinabass
For those new to Mitchell and her work, this paper is a good place to start: https://t.co/EePtA5jWHo. It set up a w… https://t.co/VDbiGZxSeY
2021-02-19
@eigensteve
Very excited to announce a new review paper on "Modern Koopman Theory for Dynamical Systems" which was a great col… https://t.co/i1d2QM9hIX
2021-02-25
@stephanevw
O estudo foi feito nos EUA, pra quem quiser saber mais: https://t.co/cUz01YcgiB
2021-02-16
@ZFPhalanx
CVタスクのtransformer、TransReIDが自分の実験でも上手くいってるし、手法も面白い。 transformerはreidとvideo recognitionでは使うと思うけど、それ以外では使う理由が今のところない。… https://t.co/Gl6xP5YeeG
2021-02-21
@hillbig
NNのテスト誤差でデータサイズDとモデルサイズPに対しべき乗則が成り立つ現象に対し、訓練誤差や有限幅NNの分散が支配的な場合と、モデルの解像度が支配的で（こちらが一般的）、データの本質的な次元d上での最近傍事例までの距離D^{-1… https://t.co/MvHAC6Vjrx
2021-02-15
@KirkDBorne
This #AI explains how it solves Rubik’s Cube—and that’s a big deal: https://t.co/g85VVWcXqY #MachineLearning… https://t.co/JNRTy9OcxL
2021-02-19

Hot Papers

How to represent part-whole hierarchies in a neural network
Geoffrey Hinton
2021-02-25 Super Hot
Zero-Shot Text-to-Image Generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever
2021-02-24 Super Hot
TransGAN: Two Transformers Can Make One Strong GAN
Yifan Jiang, Shiyu Chang, Zhangyang Wang
2021-02-14 Super Hot
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Baptiste Roziere, Marie-Anne Lachaux, Marc Szafraniec, Guillaume Lample
2021-02-15 Super Hot
Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer
Ronghang Hu, Amanpreet Singh
2021-02-22 Super Hot
Abstraction and Analogy-Making in Artificial Intelligence
Melanie Mitchell
2021-02-22 Super Hot
LambdaNetworks: Modeling Long-Range Interactions Without Attention
Irwan Bello
2021-02-17 Super Hot
Do Transformer Modifications Transfer Across Implementations and Applications?
Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Fevry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel
2021-02-23 Super Hot
NeRF$--$: Neural Radiance Fields Without Known Camera Parameters
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu
2021-02-14 Super Hot
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao
2021-02-24 Super Hot
STEP: Segmenting and Tracking Every Pixel
Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixe, Liang-Chieh Chen
2021-02-23 Super Hot
Image Completion via Inference in Deep Generative Models
William Harvey, Saeid Naderiparizi, Frank Wood
2021-02-24 Super Hot
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
2021-02-18 Super Hot
IBRNet: Learning Multi-View Image-Based Rendering
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas Funkhouser
2021-02-25 Hot
MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks
Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani
2021-02-19 Hot
ShaRF: Shape-conditioned Radiance Fields from a Single View
Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari
2021-02-17 Hot
Centroid Transformers: Learning to Abstract with Attention
Lemeng Wu, Xingchao Liu, Qiang Liu
2021-02-17 Hot
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Giannis Daras, Joseph Dean, Ajil Jalal, Alexandros G. Dimakis
2021-02-15 Hot
Weakly Supervised Learning of Rigid 3D Scene Flow
Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal
2021-02-17 Hot
Improved Denoising Diffusion Probabilistic Models
Alex Nichol, Prafulla Dhariwal
2021-02-18 Hot
Reinforcement Learning with Prototypical Representations
Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
2021-02-22 Hot
Dynamic Neural Garments
Meng Zhang, Duygu Ceylan, Tuanfeng Wang, Niloy J. Mitra
2021-02-23 Hot
Towards Causal Representation Learning
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio
2021-02-22 Hot
Quantum field-theoretic machine learning
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
2021-02-18 Hot
Quantifying environment and population diversity in multi-agent reinforcement learning
Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
2021-02-16 Hot
Clockwork Variational Autoencoders for Video Prediction
Vaibhav Saxena, Jimmy Ba, Danijar Hafner
2021-02-18 Hot
Towards a mathematical theory of trajectory inference
Hugo Lavenant, Stephen Zhang, Young-Heon Kim, Geoffrey Schiebinger
2021-02-18 Hot
Deep Learning for Market by Order Data
Zihao Zhang, Bryan Lim, Stefan Zohren
2021-02-17 Hot
Synthetic Returns for Long-Term Credit Assignment
David Raposo, Sam Ritter, Adam Santoro, Greg Wayne, Theophane Weber, Matt Botvinick, Hado van Hasselt, Francis Song
2021-02-24 Hot
TransGAN: Two Transformers Can Make One Strong GAN
Yifan Jiang, Shiyu Chang, Zhangyang Wang
2021-02-16 Hot

Fresh Papers

Federated Multi-armed Bandits with Personalization
Chengshuai Shi, Cong Shen, Jing Yang
2021-02-25
Task-Agnostic Morphology Evolution
Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto
2021-02-25 Hot
Toward Instance-Optimal State Certification With Incoherent Measurements
Sitan Chen, Jerry Li, Ryan O'Donnell
2021-02-25
Quantitative approximation results for complex-valued neural networks
A. Caragea, D. G. Lee, J. Maly, G. Pfander, F. Voigtlaender
2021-02-25
IBRNet: Learning Multi-View Image-Based Rendering
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas Funkhouser
2021-02-25 Hot
On The Effect of Auxiliary Tasks on Representation Dynamics
Clare Lyle, Mark Rowland, Georg Ostrovski, Will Dabney
2021-02-25
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
Kenneth Borup, Lars N. Andersen
2021-02-25
Simple multi-dataset detection
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
2021-02-25
Towards Robust Graph Contrastive Learning
Nikola Jovanović, Zhao Meng, Lukas Faber, Roger Wattenhofer
2021-02-25
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion
Mariana-Iuliana Georgescu, Radu Tudor Ionescu
2021-02-25
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
Robin Vogel, Aurélien Bellet, Stephan Clémençon
2021-02-25
Quantization Algorithms for Random Fourier Features
Xiaoyun Li, Ping Li
2021-02-25
Benchmarking and Survey of Explanation Methods for Black Box Models
Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
2021-02-25
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians
Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora
2021-02-25
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan
2021-02-25
Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
Emmanuel Abbe, Shuangping Li, Allan Sly
2021-02-25
Parameter estimation in dynamical systems via Statistical Learning: a reinterpretation of Approximate Bayesian Computation applied to COVID-19 spread
Diego Marcondes
2021-02-25
Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo
Apostolos Chalkis, Vissarion Fisikopoulos, Marios Papachristou, Elias Tsigaridas
2021-02-25
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Xing
2021-02-25
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations
Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
2021-02-25
AGENT: A Benchmark for Core Psychological Reasoning
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
2021-02-25
Improving predictions of Bayesian neural nets via local linearization
Alexander Immer, Maciej Korzepa, Matthias Bauer
2021-02-25
MakeItTalk: Speaker-Aware Talking-Head Animation
Yang Zhou, Xintong Han, Eli Shechtman, Jose Echevarria, Evangelos Kalogerakis, Dingzeyu Li
2021-02-25
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
2021-02-25
Reddit Entity Linking Dataset
Nicholas Botzer, Yifan Ding, Tim Weninger
2021-02-25
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson
2021-02-25
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Remi Le Priol, Aaron Courville
2021-02-25
Learning Generalizable Visual Representations via Interactive Gameplay
Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
2021-02-25
SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs
Amuthan A. Ramabathiran, Prabhu Ramachandran
2021-02-25
AutoPreview: A Framework for Autopilot Behavior Understanding
Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Driggs Campbell
2021-02-25

reinforcement learning

Reinforcement Learning for IoT Security: A Comprehensive Survey
Aashma Uprety, Danda B. Rawat
2021-02-14
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar
2021-02-24
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning
Isaac J. Sledge, Darshan W. Bryner, Jose C. Principe
2021-02-24
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
Ngoc Duy Nguyen, Thanh Thi Nguyen, Doug Creighton, Saeid Nahavandi
2021-02-23
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou, Jiafan He, Quanquan Gu
2021-02-22
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
2021-02-15
Privacy-Preserving Teacher-Student Deep Reinforcement Learning
Parham Gohari, Bo Chen, Bo Wu, Matthew Hale, Ufuk Topcu
2021-02-18
Information Directed Reward Learning for Reinforcement Learning
David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause
2021-02-24
Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator
Sayak Mukherjee, Thanh Long Vu
2021-02-19
Semi-Supervised Off Policy Reinforcement Learning
Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee
2021-02-22
Semi-Supervised Off Policy Reinforcement Learning
Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee
2021-02-23
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards
Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro
2021-02-23
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
Yifang Chen, Simon S. Du, Kevin Jamieson
2021-02-13
Action Redundancy in Reinforcement Learning
Nir Baram, Guy Tennenholtz, Shie Mannor
2021-02-22
Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework
Ana Stanescu, Gaurav Pandey
2021-02-15
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
Vincent Zhuang, Yanan Sui
2021-02-25
Abstract Value Iteration for Hierarchical Reinforcement Learning
Kishor Jothimurugan, Osbert Bastani, Rajeev Alur
2021-02-25
Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees
Gregory Dexter, Kevin Bello, Jean Honorio
2021-02-16
Model-based Reinforcement Learning: A Survey
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
2021-02-25
Time Matters in Using Data Augmentation for Vision-based Deep Reinforcement Learning
Byungchan Ko, Jungseul Ok
2021-02-17
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents
Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar
2021-02-20
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning
Huan Chang, Yicheng Chen, Baochang Zhang, David Doermann
2021-02-14
GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning
Guy Tennenholtz, Nir Baram, Shie Mannor
2021-02-22
Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning
Brett Daley, Cameron Hickert, Christopher Amato
2021-02-22
Optimizing the Neural Architecture of Reinforcement Learning Agents
N. Mazyavkina, S. Moustafa, I. Trofimov, E. Burnaev
2021-02-15
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning
Roberta Raileanu, Max Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
2021-02-20
Causal Inference Q-Network: Toward Resilient Reinforcement Learning
Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen
2021-02-18
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
2021-02-17
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
2021-02-16 Hot
Towards Safe Continuing Task Reinforcement Learning
Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain
2021-02-24

language

Revisiting Language Encoding in Learning Multilingual Representations
Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu
2021-02-16
The first large scale collection of diverse Hausa language datasets
Isa Inuwa-Dutse
2021-02-16
The first large scale collection of diverse Hausa language datasets
Isa Inuwa-Dutse
2021-02-13
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages
Akshat Gupta, Xinjian Li, Sai Krishna Rallabandi, Alan W Black
2021-02-19
Bilingual Language Modeling, A transfer learning technique for Roman Urdu
Usama Khalid, Mirza Omer Beg, Muhammad Umair Arshad
2021-02-22
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
Prashanth Gurunath Shivakumar, Panayiotis Georgiou, Shrikanth Narayanan
2021-02-19
Ambiguity Hierarchy of Regular Infinite Tree Languages
Alexander Rabinovich, Doron Tiferet
2021-02-17
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection
Quang Huu Pham, Viet Anh Nguyen, Linh Bao Doan, Ngoc N. Tran, Ta Minh Thanh
2021-02-24
[email protected] at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Languages
Kushal Kedia, Abhilash Nandy
2021-02-14
Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu
Usama Khalid, Aizaz Hussain, Muhammad Umair Arshad, Waseem Shahzad, Mirza Omer Beg
2021-02-22
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Laria Reynolds, Kyle McDonell
2021-02-15 Hot
Factorization of Fact-Checks for Low Resource Indian Languages
Shivangi Singhal, Rajiv Ratn Shah, Ponnurangam Kumaraguru
2021-02-23
Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling?
Taraka Rama, Sowmya Vajjala
2021-02-25
A New Dataset and Proposed Convolutional Neural Network Architecture for Classification of American Sign Language Digits
Arda Mavi
2021-02-23
Multilingual Answer Sentence Reranking via Automatically Translated Data
Thuy Vu, Alessandro Moschitti
2021-02-20
[email protected]: Ensembling strategies for Transformer-based Offensive language Detection
Debjoy Saha, Naman Paharia, Debajit Chakraborty, Punyajoy Saha, Animesh Mukherjee
2021-02-19
SentenceMIM: A Latent Variable Language Model
Micha Livne, Kevin Swersky, David J. Fleet
2021-02-14
Re-Evaluating GermEval17 Using German Pre-Trained Language Models
M. Aßenmacher, A. Corvonato, C. Heumann
2021-02-24
Formal Language Theory Meets Modern NLP
William Merrill
2021-02-19 Hot
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language
Md. Rezaul Karim, Sumon Kanti Dey, Bharathi Raja Chakravarthi
2021-02-21
Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon
Hadi Veisi, Hawre Hosseini, Mohammad Mohammadamini, Wirya Fathy, Aso Mahmudi
2021-02-15
Creolizing the Web
Abhinav Tamaskar, Roy Rinberg, Sunandan Chakraborty, Bud Mishra
2021-02-24
Towards Neural Programming Interfaces
Zachary C. Brown, Nathaniel Robinson, David Wingate, Nancy Fulda
2021-02-18
[email protected]: Using Machine Learning for Detection of Hate Speech and Offensive Code-Mixed Social Media text
Varsha Pathak, Manish Joshi, Prasad Joshi, Monica Mundada, Tanmay Joshi
2021-02-19
Formal Language Theory Meets Modern NLP
William Merrill
2021-02-23
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
2021-02-16
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Baptiste Roziere, Marie-Anne Lachaux, Marc Szafraniec, Guillaume Lample
2021-02-15 Super Hot
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Baptiste Roziere, Marie-Anne Lachaux, Marc Szafraniec, Guillaume Lample
2021-02-16
Composing Pick-and-Place Tasks By Grounding Language
Oier Mees, Wolfram Burgard
2021-02-16
Automatic Code Generation using Pre-Trained Language Models
Luis Perez, Lizi Ottens, Sudharshan Viswanathan
2021-02-21