Hot Tweets

@KirkDBorne
100+ Free #DataScience eBooks (downloadable PDF) for Beginners and for Experts — via @TheInsaneApp —————… https://t.co/KRFDR0ZvV2
2022-09-18 Super Hot
@ylecun
Rumors of my change of heart about deep learning are greatly exaggerated! In fact, they are completely baseless. My… https://t.co/Gcodn5l6To
2022-09-26 Super Hot
@AndrewYNg
I’d like to address the serious matter of some newcomers to AI experiencing imposter syndrome, where someone wonder… https://t.co/666e2K82l4
2022-09-29 Super Hot
@KirkDBorne
Free 449-page PDF eBook >> Understanding #MachineLearning — From Theory to #Algorithms: https://t.co/jKYKvxFbSH ———… https://t.co/QOYez89qIM
2022-09-22 Super Hot
@ylecun
It had to happen: Generating video from a textual description or from a photo. From Meta-FAIR… https://t.co/b1d6V0KSOm
2022-09-29 Super Hot
@ylecun
Looks like people stopped wanting cherries on cakes. https://t.co/E1j4aRCrDb
2022-09-16 Super Hot
@ylecun
"Let's be environmentally conscious by shutting down a zero-emission nuclear power plant and replacing it with non-… https://t.co/fccICXnP40
2022-09-24 Super Hot
@DeepMind
Acme, a framework for distributed RL research, has been updated to be cleaner, more modular, and to support more ag… https://t.co/JTmvI8SuQa
2022-09-23 Super Hot
@ylecun
Hilarious. But I want to stress that I have *never* worn a jacket and tie in my life. Certainly not at Bell Labs.… https://t.co/FT3SJSjOuc
2022-09-22 Super Hot
@KirkDBorne
Math for #MachineLearning and #Artificialintelligence — FREE 479-page PDF eBook on The #Mathematics & #Statistics F… https://t.co/Sfd5HV7gSC
2022-09-17 Hot
@KirkDBorne
“Data Science From Scratch”, plus more #DataScience books to help you go deeper: https://t.co/MGaKkj9etQ —————… https://t.co/H0ryYLurha
2022-09-24 Hot
@KirkDBorne
[Download 211-page PDF] The conceptual #mathematics behind #MachineLearning with example-based learning:… https://t.co/bJHP6aHiWY
2022-09-26 Hot
@ylecun
@mustafasuleymn I am always surprised by the incomprehensibly large number of people who believe the myth that huma… https://t.co/LWRqHQdGxt
2022-09-24 Hot
@KirkDBorne
7 Best Intermediate #DataScience Courses in 2022 — compiled by @tut_ml ————- #DataScientists #BigData #AI… https://t.co/4iXU6AtjPu
2022-09-18 Hot
@KirkDBorne
7 Best Intermediate #DataScience Courses in 2022 — compiled by @tut_ml ————- #DataScientists #BigData #AI… https://t.co/sIcLh2cPqR
2022-09-23 Hot
@navinram999
Great paper from Toshiba Bristol Lab. It’s scary how quickly the protocol has progressed - many of these componen… https://t.co/xEJjblpyAU
2022-09-17 Hot
@ylecun
@hardmaru Hilarious. But I want to stress that I have *never* worn a jacket and tie in my life. Certainly not at w… https://t.co/uP7bmQ5TOK
2022-09-22 Hot
@ylecun
Video of my colloquium talk at Berkeley EECS yesterday. "A path towards autonomous machine intelligence" https://t.co/EVobXFl1s8
2022-09-28 Hot
@ylecun
@GaryMarcus Look, I'm interested in moving progress forward, which occurs through concrete proposals, implentations… https://t.co/4DcbCnsr3R
2022-09-27 Hot
@KirkDBorne
A Survey of #MachineLearning and #DeepLearning Applications in #Mobile & Wireless Networking:… https://t.co/EDIuWFgR3V
2022-09-24 Hot
@zacharylipton
Do pretraining’s big wins in NLP really involve “knowledge transfer”? Are upstream corpora even needed? *Not always… https://t.co/UEnVzeAKpN
2022-09-30 Hot
@ylecun
AudioGen Text->general Audio generation (not speech). From Meta-FAIR. https://t.co/63nR9UHamH
2022-09-30 Hot
@ylecun
Reminder. https://t.co/WdpMKBrf0W
2022-09-26 Hot
@navinram999
@bitcoininfo #IOTA2 #Shimmer Nakamoto leaderless consensus on a DAG. Fixed supply. Fair distribution. I think you… https://t.co/chLOnJeRXp
2022-09-18 Hot
@ImAI_Eruel
機械学習の実応用に関するサーベイですが、大企業の機械学習エンジニアなど、18人に実際にインタビューした内容をもとに書かれており、かなり気合が入った論文です https://t.co/jUvryYsYFt 機械学習の実装に関わる人た… https://t.co/wVicXivOQZ
2022-09-24 Hot
@ylecun
Fame! https://t.co/Ios0OO3Y6H
2022-09-23 Hot
@ylecun
Rumors of Deep Leaning's demise are greatly exaggerated. In fact, rumors of a mere "rough week" for deep learning a… https://t.co/a6f6MeqvnP
2022-09-26 Hot
@NathieVR
It is not perfect yet but promising. As of right now there are some challenges such as latency and more. You can re… https://t.co/SVkNTkURum
2022-09-23 Hot
@ylecun
Some countries have high economic freedom *and* fiscal policies with large income transfer (from rich to poor). The… https://t.co/6WFb4ktSx5
2022-09-18 Hot
@KirkDBorne
Check out this “ML from A to Z” book — I have a copy & I love it! >> "Mastering #MachineLearning #Algorithms" (2nd… https://t.co/rGvJSyeNQe
2022-09-25 Hot
@ylecun
@github Synertek VIM-1, 1978. 1MHz 6502, 1KB RAM https://t.co/NdUBjbNx1Y
2022-09-18 Hot
@_akhaliq
MDM: Human Motion Diffusion Model abs: https://t.co/RLzq7XRr42 project page: https://t.co/k9IzPNpRFP https://t.co/loVyY8lGix
2022-09-30 Hot
@ylecun
Fun meeting with young scientists from all over the world at the @HLForum ! https://t.co/bwk2SszcI3
2022-09-20 Hot
@ylecun
Me. https://t.co/9P7aOHfLKr
2022-09-17 Hot
@WifeyAlpha
Trading Signals In VIX Futures https://t.co/8yTwINByW3 https://t.co/AHkaL6Aw74
2022-09-25 Hot
@ylecun
Indeed, as @davidchalmers42 points out, I really have not changed my basic view of the way forward in AI. It's sti… https://t.co/Vjafq8pDoW
2022-09-26 Hot
@KirkDBorne
Math for #MachineLearning and #Artificialintelligence — FREE 479-page PDF eBook on The #Mathematics & #Statistics F… https://t.co/A8fS36W1MZ
2022-09-26 Hot
@ylecun
@francoisfleuret And both remarks are made by the very same person.
2022-09-29 Hot
@ylecun
@0majors @hardmaru @JP_GHIBLI New prompt suggestion: "Yann LeCun as Totoro"
2022-09-23 Hot
@losslessdefi
Is it just us or has @Stanford offered the Lossless Protocol as #web3's safety solution against hacks? 🤔 Their pap… https://t.co/lvMZYWoEfS
2022-09-25
@ykfrs1217
薬を飲んだ後は右側を下にして横になると、仰向けで寝たり座ったりしてるよりも１回の蠕動（胃腸の運動）あたり２倍以上の薬剤が溶解されて十二指腸に届く＝早く効くかも。数値シミュレーションなのでエビデンスレベルは低めだけれど、ツライときは… https://t.co/oU9zbIozGm
2022-09-19
@ylecun
@MFordFuture In case this could be misinterpreted: - Deep Learning is the foundation of future progress. - supervis… https://t.co/SLvmaKg72q
2022-09-27
@KirkDBorne
100+ Free #DataScience eBooks (downloadable PDF) for Beginners and for Experts — via @TheInsaneApp —————… https://t.co/SaTGflRhrS
2022-09-22
@TechCrunch
A chilling discovery by an #AI researcher finds that the “latent space” comprising a #deeplearning model’s memory i… https://t.co/gJBkO2XTan
2022-09-18
@ylecun
@hardmaru I look so young! It got the blue sweater right.
2022-09-23
@IBJIYONGI
NEW ON THE ARXIV!!! It’s late here in EDT but check it out: two years of intensive work as a topical convener for… https://t.co/fDTQYu4zrn
2022-09-20
@KirkDBorne
[Download 211-page PDF] The conceptual #mathematics behind #MachineLearning with example-based learning:… https://t.co/EK6A3WfrTW
2022-09-19
@ylecun
Details here. https://t.co/7ZgRtLIQWY
2022-09-26
@ylecun
Giving a keynote at @ECMLPKDD in 20 minutes.
2022-09-23
@ylecun
The concept of representing tensors this way, with a separate storage structure and (possibly multiple) tensor acce… https://t.co/qXRmuCBqVU
2022-09-30
@ylecun
@davidchalmers42 Can an LLM figure this out: In front of us are six gears numbered 1 to 6, mounted on axles in a ro… https://t.co/UYQUJ1MtBE
2022-09-21
@KirkDBorne
Free 449-page PDF eBook >> Understanding #MachineLearning — From Theory to #Algorithms: https://t.co/jKYKvxFbSH ———… https://t.co/olBppI7xy4
2022-09-29
@ylecun
I, for one, welcome our future high-resolution, heroic, insomniac, water-resistant, luminiferous, robotic overlords. https://t.co/LtwGbOaHxF
2022-09-30
@NandoDF
This is a brilliant step in learning to learn. Generative models are one of the most general and powerful ideas in… https://t.co/MHAbPH1ogw
2022-09-28
@rasbt
How can you beat XGBoost, CatBoost, and TabNet on tabular data? Use a cocktail of 13 modern regularization techniq… https://t.co/PbE6rTzZNa
2022-09-21
@ylecun
I should say the #3 includes graph neural nets, which I see as a major conceptual advance (albeit somewhat subsumed be transformers).
2022-09-16
@Abebab
New paper with @wsisaac, @vinodkpg, @blahtino, @m_c_elish, @IasonGabriel & @shakir_za "Power to the People? O… https://t.co/dwoMSW6cei
2022-09-19
@KirkDBorne
See some of my favorite books & things: https://t.co/DBekUxlxle ...covering #BigData #DataScience #AI #Bots… https://t.co/pu3QJqtOod
2022-09-30
@ylecun
@francoisfleuret Haha! We'll do the experiment. On April 1st.
2022-09-26
@ylecun
A panel on AI at the @HLForum starting any minute now. https://t.co/EbstCe1QQ6
2022-09-20
@ylecun
@yudapearl @GaryMarcus @TiernanRayTech 1. I respectfully suggest that you form opinions about my work from my own w… https://t.co/mllTuAH8Rz
2022-09-26
@ylecun
I totally need this to hear anyone at the table in one of those noisy NYC restaurants. https://t.co/80bTrLbQsb
2022-09-20
@ylecun
@SebastienBubeck It's not a problem, it's a feature. Over-parameterized models have easy-to-find degenerate solutio… https://t.co/tbo8XzZiws
2022-09-20
@ylecun
Those new details (Joint Embedding Architecture, non-contrastive SSL, planning/reasoning as latent variable inferen… https://t.co/QlTQL7bnr6
2022-09-26
@Jeande_d
The Principles of Deep Learning Theory "An effective theory approach to understanding deep neural networks of prac… https://t.co/cum3zr0B6s
2022-09-26
@ylecun
I, for one, welcome our animated canine overlords. https://t.co/Rj4pIPuOwp
2022-09-27
@ylecun
@demishassabis @DeepMind Congrats Demis!
2022-09-22
@comma_ai
How many bits of information are there in a driving scene? Our current models use about 700. The dream of "Learni… https://t.co/H4yuxexHQ3
2022-09-30
@ylecun
Slides: https://t.co/tj2eAS3j3N Paper: https://t.co/7ZgRtM0rOw
2022-09-28
@ylecun
@wellingmax @RichardSSutton Some authoritarian idiot, regardless of the claimed ideology (fascism, communism, religious extremism, etc)
2022-09-17
@ylecun
Indeed! https://t.co/IpG04fsbXN
2022-09-27
@MATLAB
Use MATLAB and the new Medical Imaging Toolbox for data preparation in #AI workflows ➟ https://t.co/YmDti6sfH7… https://t.co/THZfbH4lvn
2022-09-28
@Xavi_Bros
Waiting future data from the JWST about the Trappist system & its planet "e". It seems to have an iron core (… https://t.co/elBVOwzTdt
2022-09-17
@stevenstrogatz
The model is described in detail in https://t.co/LtXlAX3axW. A new node enters. It picks an existing node at random… https://t.co/mOvwW6OuWQ
2022-09-20
@KirkDBorne
👉FREE 1024-page #DeepLearning eBook PDF (updated August 2022) at https://t.co/FOW0eGTCYl ➕ 👉Interactive Multi-Frame… https://t.co/NsGiYepR9e
2022-09-22
@Xavi_Bros
A Sun-like star orbiting a black hole! The 0.9 suns mass star is situated only 1560 lightyears far. With GAIA data… https://t.co/f4G0V4FJ8P
2022-09-18
@ylecun
Congratulations @koraykv !!! https://t.co/keh8IM5iZK
2022-09-22
@ylecun
New preprint: VICReg and SimCLR in the kernel regime, with some theory. https://t.co/7T3Z2Phz70
2022-09-30
@spacy_io
This insightful paper by @adyantalamadhya and Ramya Balasubramanian challenges standard NER practices and performs… https://t.co/Z5uX7N8NpR
2022-09-16
@PHuenermund
We just posted a substantially expanded version of our paper "On the Nuisance of Control Variables in Regression An… https://t.co/DC7wEdTZfC
2022-09-28

Hot Papers

Human Motion Diffusion Model
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Amit H. Bermano, Daniel Cohen-Or
2022-09-29 Super Hot
Operationalizing Machine Learning: An Interview Study
Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
2022-09-16 Super Hot
VToonify: Controllable High-Resolution Portrait Video Style Transfer
Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
2022-09-22 Super Hot
Learning to Learn with Generative Models of Neural Network Checkpoints
William Peebles, Ilija Radosavovic, Tim Brooks, Alexei A. Efros, Jitendra Malik
2022-09-26 Super Hot
Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
Zhaoxi Chen, Guangcong Wang, Ziwei Liu
2022-09-20 Super Hot
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler
2022-09-22 Super Hot
NeuralMarker: A Framework for Learning General Marker Correspondence
Zhaoyang Huang, Xiaokun Pan, Weihong Pan, Weikang Bian, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li
2022-09-19 Super Hot
QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars
Alexander Winkler, Jungdam Won, Yuting Ye
2022-09-20 Hot
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok, Rosanne Liu
2022-09-20 Hot
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations
Ahmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar, Richard Higgins, Sanja Fidler, David Fouhey, Dima Damen
2022-09-27 Hot
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru R. Zhang
2022-09-22 Hot
Relaxed Attention for Transformer Models
Timo Lohrenz, Björn Möller, Zhengyang Li, Tim Fingscheidt
2022-09-20 Hot
TVLT: Textless Vision-Language Transformer
Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal
2022-09-28 Hot
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery
Jiaqing Zhang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Qian Du
2022-09-27 Hot
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
2022-09-22 Hot
Batch Normalization Explained
Randall Balestriero, Richard G. Baraniuk
2022-09-29 Hot
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall, Nils Reimers, Unso Eun Seo Jo, Luke Bates, Daniel Korat, Moshe Wasserblat, Oren Pereg
2022-09-22 Hot
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-Min Hu
2022-09-18 Hot
A Generalist Neural Algorithmic Learner
Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković
2022-09-22 Hot
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim
2022-09-27 Hot
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation
Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang
2022-09-21 Hot
Exploring Low Rank Training of Deep Neural Networks
Siddhartha Rao Kamalakara, Acyr Locatelli, Bharat Venkitesh, Jimmy Ba, Yarin Gal, Aidan N. Gomez
2022-09-27 Hot
WeLM: A Well-Read Pre-trained Language Model for Chinese
Hui Su, Xiao Zhou, Houjing Yu, Yuwen Chen, Zilin Zhu, Yang Yu, Jie Zhou
2022-09-21 Hot
Compositional Semantic Parsing with Large Language Models
Andrew Drozdov, Nathanael Schärli, Ekin Akyuürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
2022-09-29 Hot
Poisson Flow Generative Models
Yilun Xu, Ziming Liu, Max Tegmark, Tommi Jaakkola
2022-09-22 Hot
Generate rather than Retrieve: Large Language Models are Strong Context Generators
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
2022-09-21 Hot
Space-time tradeoffs of lenses and optics via higher category theory
Bruno Gavranović
2022-09-19 Hot
Dilated Neighborhood Attention Transformer
Ali Hassani, Humphrey Shi
2022-09-29 Hot
Optimization of Annealed Importance Sampling Hyperparameters
Shirin Goshtasbpour, Fernando Perez-Cruz
2022-09-27 Hot
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2022-09-28 Hot

Fresh Papers

Understanding Collapse in Non-Contrastive Learning
Alexander C. Li, Alexei A. Efros, Deepak Pathak
2022-09-29
Effective Vision Transformer Training: A Data-Centric Perspective
Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang
2022-09-29
Compositional Semantic Parsing with Large Language Models
Andrew Drozdov, Nathanael Schärli, Ekin Akyuürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
2022-09-29 Hot
Dilated Neighborhood Attention Transformer
Ali Hassani, Humphrey Shi
2022-09-29 Hot
Extracting Dynamical Models from Data
Michael F. Zimmer
2022-09-29
REST: REtrieve & Self-Train for generative action recognition
Adrian Bulat, Enrique Sanchez, Brais Martinez, Georgios Tzimiropoulos
2022-09-29
Optimistic MLE -- A Generic Model-based Algorithm for Partially Observable Sequential Decision Making
Qinghua Liu, Praneeth Netrapalli, Csaba Szepesvari, Chi Jin
2022-09-29
Multiple Modes for Continual Learning
Siddhartha Datta, Nigel Shadbolt
2022-09-29
Equivariant maps from invariant functions
Ben Blum-Smith, Soledad Villar
2022-09-29
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
Fan Chen, Yu Bai, Song Mei
2022-09-29
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
2022-09-29 Hot
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"
Nicholas Carlini, Vitaly Feldman, Milad Nasr
2022-09-29
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging
Jean Kaddour
2022-09-29
Enumeration of max-pooling responses with generalized permutohedra
Laura Escobar, Patricio Gallardo, Javier González-Anaya, José L. González, Guido Montúfar, Alejandro H. Morales
2022-09-29
Transformer Meets Boundary Value Inverse Problems
Ruchi Guo, Shuhao Cao, Long Chen
2022-09-29
Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications
Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Jiebo Luo
2022-09-29
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Yewen Fan, Nian Si, Kun Zhang
2022-09-29
Statistical Learning and Inverse Problems: An Stochastic Gradient Approach
Yuri S. Fonseca, Yuri F. Saporito
2022-09-29
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment
Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljoša Ošep, Laura Leal-Taixé, Daniel Cremers
2022-09-29
Time-uniform central limit theory, asymptotic confidence sequences, and anytime-valid causal inference
Ian Waudby-Smith, David Arbour, Ritwik Sinha, Edward H. Kennedy, Aaditya Ramdas
2022-09-29
Single-Node Attacks for Fooling Graph Neural Networks
Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon
2022-09-29
Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning
Yuandong Tian
2022-09-29
Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals
Piotr Mirowski, Kory W. Mathewson, Jaylen Pittman, Richard Evans
2022-09-29 Hot
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
Haoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis, Navid Azizan
2022-09-29
EiHi Net: Out-of-Distribution Generalization Paradigm
Qinglai Wei, Beiming Yuan, Diancheng Chen
2022-09-29
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans
John J Nay
2022-09-29
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual and Language Learning
Yanmin Wu, Xinhua Cheng, Renrui Zhang, Zesen Cheng, Jian Zhang
2022-09-29
Reinforcement Learning Algorithms: An Overview and Classification
Fadi AlMahamid, Katarina Grolinger
2022-09-29
Physics-informed neural networks for solving parametric magnetostatic problems
Andrés Beltrán-Pulido, Ilias Bilionis, Dionysios Aliprantis
2022-09-29
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers
Valentin Leplat, Daniil Merkulov, Aleksandr Katrutsa, Daniel Bershatsky, Ivan Oseledets
2022-09-29

reinforcement learning

On stabilizing reinforcement learning without Lyapunov functions
Pavel Osinenko, Grigory Yaremenko, Georgiy Malaniya
2022-09-20
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments
Ryan Sullivan, J. K. Terry, Benjamin Black, John P. Dickerson
2022-09-21
Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions
Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois Knoll
2022-09-21
Reinforcement Learning Algorithms: An Overview and Classification
Fadi AlMahamid, Katarina Grolinger
2022-09-29
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning
Paul Rolland, Luca Viano, Norman Schuerhoff, Boris Nikolov, Volkan Cevher
2022-09-22
Locally Constrained Representations in Reinforcement Learning
Somjit Nath, Samira Ebrahimi Kahou
2022-09-20
Bias-reduced Multi-step Hindsight Experience Replay for Efficient Multi-goal Reinforcement Learning
Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li
2022-09-26
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning
William Wong, Praneet Dutta, Octavian Voicu, Yuri Chervonyi, Cosmin Paduraru, Jerry Luo
2022-09-16
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning
Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022-09-26
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
2022-09-26
DCE: Offline Reinforcement Learning With Double Conservative Estimates
Chen Zhao, Kai Xing Huang, Chun yuan
2022-09-27
Stochastic Inverse Reinforcement Learning
Ce Ju
2022-09-23
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning
Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng
2022-09-25
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning
Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng
2022-09-19
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk
Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu
2022-09-17
DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning
Simeon Adebola, Satvik Sharma, Kaushik Shivakumar
2022-09-26
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Lin Liu, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang
2022-09-18
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao
2022-09-24
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu, Zuxin Liu, Peide Huang, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao
2022-09-16
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu, Erik-Jan van Kampen, Guido C. H. E. de Croon
2022-09-24
Exploiting Transformer in Reinforcement Learning for Interpretable Temporal Logic Motion Planning
Hao Zhang, Hao Wang, Zhen Kan
2022-09-27
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
2022-09-24
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control
Yunbo Qiu, Yue Jin, Jian Wang, Xudong Zhang
2022-09-17
Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks
Marzieh Sadat Esmaeeli, Hamed Malek
2022-09-18
Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning
Atsumoto Ohashi, Ryuichiro Higashinaka
2022-09-16
A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret
Sheelabhadra Dey, Sumedh Pendurkar, Guni Sharon, Josiah P. Hanna
2022-09-20
Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction
Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
2022-09-27
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting
Berend Jelmer Dirk Gort, Xiao-Yang Liu, Xinghang Sun, Jiechao Gao, Shuaiyu Chen, Christina Dan Wang
2022-09-23
Reward Learning using Structural Motifs in Inverse Reinforcement Learning
Raeid Saqur
2022-09-25
Acme: A Research Framework for Distributed Reinforcement Learning
Matthew W. Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Nikola Momchev, Danila Sinopalnikov, Piotr Stańczyk, Sabela Ramos, Anton Raichuk, Damien Vincent, Léonard Hussenot, Robert Dadashi, Gabriel Dulac-Arnold, Manu Orsini, Alexis Jacq, Johan Ferret, Nino Vieillard, Seyed Kamyar Seyed Ghasemipour, Sertan Girgin, Olivier Pietquin, Feryal Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Abe Friesen, Ruba Haroun, Alex Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas
2022-09-20

language

PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen, Xiao Wang, Soravit Changpinyo, AJ Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
2022-09-16
Effects of language mismatch in automatic forensic voice comparison using deep learning embeddings
Dávid Sztahó, Attila Fejes
2022-09-26
LGDN: Language-Guided Denoising Network for Video-Language Modeling
Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu
2022-09-23
Improving Multilingual Neural Machine Translation System for Indic Languages
Sudhansu Bala Das, Atharv Biradar, Tapas Kumar Mishra, Bidyut Kumar Patra
2022-09-27
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram
William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao
2022-09-23
CINO: A Chinese Minority Pre-trained Language Model
Ziqing Yang, Zihang Xu, Yiming Cui, Baoxin Wang, Min Lin, Dayong Wu, Zhigang Chen
2022-09-21
Towards Interactive Language Modeling
Maartje ter Hoeve, Evgeny Kharitonov, Dieuwke Hupkes, Emmanuel Dupoux
2022-09-28
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval
Robert Litschko, Ivan Vulić, Goran Glavaš
2022-09-16
Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages
Zeming Wei, Xiyue Zhang, Meng Sun
2022-09-27
ClimateBert: A Pretrained Language Model for Climate-Related Text
Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, Markus Leippold
2022-09-26
Smells like Teen Spirit: An Exploration of Sensorial Style in Literary Genres
Osama Khalid, Padmini Srinivasan
2022-09-26
Taking a Language Detour: How International Migrants Speaking a Minority Language Seek COVID-Related Information in Their Host Countries
Ge Gao, Jian Zheng, Eun Kyoung Choe, Naomi Yamashita
2022-09-27
A first-order logic characterization of safety and co-safety languages
Alessandro Cimatti, Luca Geatti, Nicola Gigante, Angelo Montanari, Stefano Tonetta
2022-09-19
ArNLI: Arabic Natural Language Inference for Entailment and Contradiction Detection
Khloud Al Jallad, Nada Ghneim
2022-09-28 Hot
Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval
Zheng Li, Caili Guo, Xin Wang, Zerun Feng, Jenq-Neng Hwang, Zhongtian Du
2022-09-28
ImmunoLingo: Linguistics-based formalization of the antibody language
Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, Victor Greiff
2022-09-26
Facilitating Global Team Meetings Between Language-Based Subgroups: When and How Can Machine Translation Help?
Yongle Zhang, Dennis Asamoah Owusu, Marine Carpuat, Ge Gao
2022-09-27
NLP for Language Varieties of Italy: Challenges and the Path Forward
Alan Ramponi
2022-09-20
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment
Hongwei Xue, Yuchong Sun, Bei Liu, Jianlong Fu, Ruihua Song, Houqiang Li, Jiebo Luo
2022-09-23
Assessing Digital Language Support on a Global Scale
Gary F. Simons, Abbey L. Thomas, Chad K. White
2022-09-27
How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input?
Lovisa Hagström, Richard Johansson
2022-09-19
Entailment Semantics Can Be Extracted from an Ideal Language Model
William Merrill, Alex Warstadt, Tal Linzen
2022-09-26
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling
Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser
2022-09-21 Hot
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling
Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser
2022-09-22
RepsNet: Combining Vision with Language for Automated Medical Reports
Ajay Kumar Tanwani, Joelle Barral, Daniel Freedman
2022-09-27
Gamma Sampling: Fine-grained Controlling Language Models without Training
Shangda Wu, Maosong Sun
2022-09-17
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training
Jong Hak Moon, Hyungyung Lee, Woncheol Shin, Young-Hak Kim, Edward Choi
2022-09-21
The first neural machine translation system for the Erzya language
David Dale
2022-09-19
WeLM: A Well-Read Pre-trained Language Model for Chinese
Hui Su, Xiao Zhou, Houjing Yu, Yuwen Chen, Zilin Zhu, Yang Yu, Jie Zhou
2022-09-21 Hot
WeLM: A Well-Read Pre-trained Language Model for Chinese
Hui Su, Xiao Zhou, Houjing Yu, Yuwen Chen, Zilin Zhu, Yang Yu, Jie Zhou
2022-09-22