Hot Tweets

@ylecun
1. Self-Supervised Learning 2. ResNets (not intellectually deep, but useful) 3. Gating -> Attention -> Dynamic conn… https://t.co/fU3s43vYgb
2022-09-15 Super Hot
@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
The open way that Stable Diffusion's image generation model was released -- allowing users to it on their own machi… https://t.co/juvoNGcFBY
2022-09-15 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
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
@ylecun
@davidchalmers42 1. Self-Supervised Learning 2. ResNets (not intellectually deep, but useful) 3. Gating -> Attentio… https://t.co/pNPkuR9nEs
2022-09-15 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
@nntaleb
The bitcoin black paper https://t.co/HWE66WFH6Z https://t.co/fQtYH5p34O
2022-09-15 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
@GaryMarcus Look, I'm interested in moving progress forward, which occurs through concrete proposals, implentations… https://t.co/4DcbCnsr3R
2022-09-27 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
@KirkDBorne
A Survey of #MachineLearning and #DeepLearning Applications in #Mobile & Wireless Networking:… https://t.co/EDIuWFgR3V
2022-09-24 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
@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
@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
@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
@KirkDBorne
100+ Free #DataScience eBooks (downloadable PDF) for Beginners and for Experts — via @TheInsaneApp —————… https://t.co/SaTGflRhrS
2022-09-22
@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
What happened in AI research in the 10 years since AlexNet. https://t.co/XhuJ9yqZQe
2022-09-15
@ylecun
Giving a keynote at @ECMLPKDD in 20 minutes.
2022-09-23
@ylecun
Details here. https://t.co/7ZgRtLIQWY
2022-09-26
@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
@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
@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
@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
@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
@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
@demishassabis @DeepMind Congrats Demis!
2022-09-22
@ylecun
Suction. There is no water between the hourglass and the top (then bottom) of the cylinder. It takes a while for wa… https://t.co/G8lhhn8Bum
2022-09-15
@ylecun
@francoisfleuret And both remarks are made by the very same person.
2022-09-29
@ylecun
@francoisfleuret Why stochastic gradient works so well to train complex networks with highly non-convex loss is far… https://t.co/KPujIIYmJt
2022-09-15
@ylecun
I, for one, welcome our animated canine overlords. https://t.co/Rj4pIPuOwp
2022-09-27
@ylecun
@wellingmax @RichardSSutton Some authoritarian idiot, regardless of the claimed ideology (fascism, communism, religious extremism, etc)
2022-09-17
@ylecun
@ntraft - Memory networks https://t.co/3CrhlDJJom - End-to-end MemNets https://t.co/2lkKPlwhI0 - Key-Value MemNets… https://t.co/U4gkmkpmXJ
2022-09-15
@ylecun
Indeed! https://t.co/IpG04fsbXN
2022-09-27
@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
@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
@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
Indeed ! https://t.co/rDNhch3lIT
2022-09-15
@ylecun
Slides: https://t.co/tj2eAS3j3N Paper: https://t.co/7ZgRtM0rOw
2022-09-28
@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
@spacy_io
This insightful paper by @adyantalamadhya and Ramya Balasubramanian challenges standard NER practices and performs… https://t.co/Z5uX7N8NpR
2022-09-16
@KirkDBorne
MIT Researchers Create Tool to Forecast Multivariate Time Series: https://t.co/6qMT22IzrG ➕ The Research Paper:… https://t.co/my3ZEoPaMQ
2022-09-24
@WifeyAlpha
Closed-End Formula for options linked to Target Volatility Strategies https://t.co/Cyu5ReifEv https://t.co/1tY4IWwfcC
2022-09-26

Hot Papers

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
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
Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
Zhaoxi Chen, Guangcong Wang, Ziwei Liu
2022-09-20 Super Hot
Hydra Attention: Efficient Attention with Many Heads
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
2022-09-15 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
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
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
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
LAVIS: A Library for Language-Vision Intelligence
Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi
2022-09-15 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
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
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
Omar Montasser, Steve Hanneke, Nathan Srebro
2022-09-15 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
Poisson Flow Generative Models
Yilun Xu, Ziming Liu, Max Tegmark, Tommi Jaakkola
2022-09-22 Hot
Space-time tradeoffs of lenses and optics via higher category theory
Bruno Gavranović
2022-09-19 Hot
Test-Time Training with Masked Autoencoders
Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros
2022-09-15 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
Optimization of Annealed Importance Sampling Hyperparameters
Shirin Goshtasbpour, Fernando Perez-Cruz
2022-09-27 Hot
MetaPrompting: Learning to Learn Better Prompts
Yutai Hou, Hongyuan Dong, Xinghao Wang, Bohan Li, Wanxiang Che
2022-09-23 Hot
Promptagator: Few-shot Dense Retrieval From 8 Examples
Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang
2022-09-23 Hot
Open-vocabulary Queryable Scene Representations for Real World Planning
Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler
2022-09-20 Hot

Fresh Papers

Conformal Prediction is Robust to Label Noise
Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano
2022-09-28
Proceedings of the AI-HRI Symposium at AAAI-FSS 2022
Zhao Han, Emmanuel Senft, Muneeb I. Ahmad, Shelly Bagchi, Amir Yazdani, Jason R. Wilson, Boyoung Kim, Ruchen Wen, Justin W. Hart, Daniel Hernández García, Matteo Leonetti, Ross Mead, Reuth Mirsky, Ahalya Prabhakar, Megan L. Zimmerman
2022-09-28
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2022-09-28 Hot
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations
Zoey Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox
2022-09-28
Multilingual Search with Subword TF-IDF
Artit Wangperawong
2022-09-28
Causal Proxy Models for Concept-Based Model Explanations
Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts
2022-09-28
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
Yu-Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
2022-09-28
Audio Retrieval with WavText5K and CLAP Training
Soham Deshmukh, Benjamin Elizalde, Huaming Wang
2022-09-28
Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results
Lukas Christ, Shahin Amiriparian, Alexander Kathan, Niklas Müller, Andreas König, Björn W. Schuller
2022-09-28
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments
Peng Yin, Haowen Lai, Shiqi Zhao, Ruijie Fu, Ivan Cisneros, Ruohai Ge, Ji Zhang, Howie Choset, Sebastian Scherer
2022-09-28
On the Generalization of Deep Reinforcement Learning Methods in the Problem of Local Navigation
Victor R. F. Miranda, Armando A. Neto, Gustavo M. Freitas, Leonardo A. Mozelli
2022-09-28
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
Deborah Pereg, Martin Villiger, Brett Bouma, Polina Golland
2022-09-28
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
2022-09-28
360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance
Shreyas Kulkarni, Peng Yin, Sebastian Scherer
2022-09-28 Hot
A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks
Chau Pham, Trung Dang, Peter Chin
2022-09-28
Is Your Model Sensitive? SPeDaC: A New Benchmark for Detecting and Classifying Sensitive Personal Data
Gaia Gambarelli, Aldo Gangemi, Rocco Tripodi
2022-09-28
A Survey on Physical Adversarial Attack in Computer Vision
Donghua Wang, Wen Yao, Tingsong Jiang, Guijiang Tang, Xiaoqian Chen
2022-09-28
Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks
Yingjie Li, Ruiyang Chen, Weilu Gao, Cunxi Yu
2022-09-28
B2B Advertising: Joint Dynamic Scoring of Account and Users
Atanu R. Sinha, Gautam Choudhary, Mansi Agarwal, Shivansh Bindal, Abhishek Pande, Camille Girabawe
2022-09-28
Score Modeling for Simulation-based Inference
Tomas Geffner, George Papamakarios, Andriy Mnih
2022-09-28
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr
2022-09-28
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Michael I. Jordan, Tianyi Lin, Emmanouil-Vasileios Vlatakis-Gkaragkounis
2022-09-28
A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks
Kevin Hector, Mathieu Dumont, Pierre-Alain Moellic, Jean-Max Dutertre
2022-09-28
Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments
Mehmetcan Kaymaz, Nazim Kemal Ure
2022-09-28
Road Rutting Detection using Deep Learning on Images
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto
2022-09-28
Online Subset Selection using $α$-Core with no Augmented Regret
Sourav Sahoo, Samrat Mukhopadhyay, Abhishek Sinha
2022-09-28
Re-contextualizing Fairness in NLP: The Case of India
Shaily Bhatt, Sunipa Dev, Partha Talukdar, Shachi Dave, Vinodkumar Prabhakaran
2022-09-28
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
2022-09-28
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation
Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022-09-28
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging
Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal-Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Phil Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2022-09-28

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
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
2022-09-19
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning
Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng
2022-09-25
ProAPT: Projection of APT Threats with Deep Reinforcement Learning
Motahareh Dehghan, Babak Sadeghiyan, Erfan Khosravian, Alireza Sedighi Moghaddam, Farshid Nooshi
2022-09-15
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
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning
Jaber R. Mianroodi, Nima H. Siboni, Dierk Raabe
2022-09-22

language

OmniVL:One Foundation Model for Image-Language and Video-Language Tasks
Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan
2022-09-15 Hot
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
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training
Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, Tsung-Hui Chang
2022-09-15
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
Towards Interactive Language Modeling
Maartje ter Hoeve, Evgeny Kharitonov, Dieuwke Hupkes, Emmanuel Dupoux
2022-09-28
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
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval
Robert Litschko, Ivan Vulić, Goran Glavaš
2022-09-16
ClimateBert: A Pretrained Language Model for Climate-Related Text
Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, Markus Leippold
2022-09-26
Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages
Zeming Wei, Xiyue Zhang, Meng Sun
2022-09-27
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
Smells like Teen Spirit: An Exploration of Sensorial Style in Literary Genres
Osama Khalid, Padmini Srinivasan
2022-09-26
Assessing Digital Language Support on a Global Scale
Gary F. Simons, Abbey L. Thomas, Chad K. White
2022-09-27
Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge
Zhihong Chen, Guanbin Li, Xiang Wan
2022-09-15
Entailment Semantics Can Be Extracted from an Ideal Language Model
William Merrill, Alex Warstadt, Tal Linzen
2022-09-26
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
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
A first-order logic characterization of safety and co-safety languages
Alessandro Cimatti, Luca Geatti, Nicola Gigante, Angelo Montanari, Stefano Tonetta
2022-09-19
Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model
Xuan-Phi Nguyen, Shafiq Joty, Wu Kui, Ai Ti Aw
2022-09-15
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
LAVIS: A Library for Language-Vision Intelligence
Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi
2022-09-15 Hot
How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input?
Lovisa Hagström, Richard Johansson
2022-09-19
Sign Language Video Retrieval with Free-Form Textual Queries
Amanda Duarte, Samuel Albanie, Xavier Giró-i-Nieto, Gül Varol
2022-09-15
Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora
Flor Miriam Plaza-del-Arco, María-Teresa Martín-Valdivia, Roman Klinger
2022-09-15
NLP for Language Varieties of Italy: Challenges and the Path Forward
Alan Ramponi
2022-09-20
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
ArNLI: Arabic Natural Language Inference for Entailment and Contradiction Detection
Khloud Al Jallad, Nada Ghneim
2022-09-28
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