Deep Learning Monitor - Find new Arxiv papers, tweets and Reddit posts for you

Jamie Deng, Yusen Wu, Hilary Hayssen, Brain Englum, Aman Kankaria, Minerva Mayorga-Carlin, Shalini Sahoo, John Sorkin, Brajesh Lal, Yelena Yesha, Phuong Nguyen

2023-09-21

A Constructive Approach to Function Realization by Neural Stochastic Differential Equations

Tanya Veeravalli, Maxim Raginsky

2023-09-21

Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain Classification

Firas Al-Hindawi, Md Mahfuzur Rahman Siddiquee, Teresa Wu, Han Hu, Ying Sun

2023-09-21

The Cambridge Law Corpus: A Corpus for Legal AI Research

Andreas Östling, Holli Sargeant, Huiyuan Xie, Ludwig Bull, Alexander Terenin, Leif Jonsson, Måns Magnusson, Felix Steffek

2023-09-21

The Impact of Incumbent/Opposition Status and Ideological Similitude on Emotions in Political Manifestos

Takumi Nishi

2023-09-21

Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications

Yusen Wu, Jamie Deng, Hao Chen, Phuong Nguyen, Yelena Yesha

2023-09-21

LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles

Shulin Huang, Shirong Ma, Yinghui Li, Mengzuo Huang, Wuhe Zou, Weidong Zhang, Hai-Tao Zheng

2023-09-21

On the Relationship between Skill Neurons and Robustness in Prompt Tuning

Leon Ackermann, Xenia Ohmer

2023-09-21

reinforcement learning

Dynamic control of self-assembly of quasicrystalline structures through reinforcement learning

Uyen Tu Lieu, Natsuhiko Yoshinaga

2023-09-13

State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards

Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro

2023-09-21

Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement

Petr Bobák, Ladislav Čmolík, Martin Čadík

2023-09-18

Chasing the Intruder: A Reinforcement Learning Approach for Tracking Intruder Drones

Shivam Kainth, Subham Sahoo, Rajtilak Pal, Shashi Shekhar Jha

2023-09-10

PEAR: Primitive enabled Adaptive Relabeling for boosting Hierarchical Reinforcement Learning

Utsav Singh, Vinay P Namboodiri

2023-09-20

Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning

Xiao Liu, Wubing Chen, Mao Tan

2023-09-12

Physics-informed reinforcement learning via probabilistic co-adjustment functions

Nat Wannawas, A. Aldo Faisal

2023-09-11

$λ$-AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces

Claas A Voelcker, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand

2023-09-20

PolicyCleanse: Backdoor Detection and Mitigation in Reinforcement Learning

Junfeng Guo, Ang Li, Cong Liu

2023-09-14

Global Convergence of the ODE Limit for Online Actor-Critic Algorithms in Reinforcement Learning

Ziheng Wang, Justin Sirignano

2023-09-18

Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence

Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Yuefeng Li

2023-09-18

Safe Hierarchical Reinforcement Learning for CubeSat Task Scheduling Based on Energy Consumption

Mahya Ramezani, M. Amin Alandihallaj, Jose Luis Sanchez-Lopez, Andreas Hein

2023-09-21

Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning

Lillian Muyama, Antoine Neuraz, Adrien Coulet

2023-09-12

Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach

Yigit Gurses, Kaan Buyukdemirci, Yildiray Yildiz

2023-09-17

Learning to Recover for Safe Reinforcement Learning

Haoyu Wang, Xin Yuan, Qinqing Ren

2023-09-21

Contrastive Initial State Buffer for Reinforcement Learning

Nico Messikommer, Yunlong Song, Davide Scaramuzza

2023-09-18

Contrastive Initial State Buffer for Reinforcement Learning

Nico Messikommer, Yunlong Song, Davide Scaramuzza

2023-09-20

Reasoning with Latent Diffusion in Offline Reinforcement Learning

Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John Dolan, Jeff Schneider, Glen Berseth

2023-09-12

DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning

Xiao-Yin Liu, Xiao-Hu Zhou, Xiao-Liang Xie, Shi-Qi Liu, Zhen-Qiu Feng, Hao Li, Mei-Jiang Gui, Tian-Yu Xiang, De-Xing Huang, Zeng-Guang Hou

2023-09-16

Projected Task-Specific Layers for Multi-Task Reinforcement Learning

Josselin Somerville Roberts, Julia Di

2023-09-15

Characterizing Speed Performance of Multi-Agent Reinforcement Learning

Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor Prasanna

2023-09-13

On Reducing Undesirable Behavior in Deep Reinforcement Learning Models

Ophir M. Carmel, Guy Katz

2023-09-11

Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads

Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan

2023-09-17

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Wang, Samuel Marks, Charbel-Raphaël Segerie, Micah Carroll, Andi Peng, Phillip Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Bıyık, Anca Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell

2023-09-11

Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving

Ege Onat Özsüer, Barış Akgün, Fatma Güney

2023-09-18

PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring

Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, U R Acharya, Raj Gururajan, Xujuan Zhou

2023-09-20

Safe Reinforcement Learning with Dual Robustness

Zeyang Li, Chuxiong Hu, Yunan Wang, Yujie Yang, Shengbo Eben Li

2023-09-13

PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring

Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, U R Acharya, Raj Gururajan, Xujuan Zhou

2023-09-19

Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration

Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan

2023-09-18

Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics

Jiayang Song, Zhehua Zhou, Jiawei Liu, Chunrong Fang, Zhan Shu, Lei Ma

2023-09-13

language

SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects

David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, Nikita Vassilyev, Jesujoba O. Alabi, Yanke Mao, Haonan Gao, Annie En-Shiun Lee

2023-09-14

ChatGPT MT: Competitive for High- (but not Low-) Resource Languages

Nathaniel R. Robinson, Perez Ogayo, David R. Mortensen, Graham Neubig

2023-09-14

Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages

Zheng-Xin Yong, Ruochen Zhang, Jessica Zosa Forde, Skyler Wang, Arjun Subramonian, Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Lintang Sutawika, Jan Christian Blaise Cruz, Yin Lin Tan, Long Phan, Rowena Garcia, Thamar Solorio, Alham Fikri Aji

2023-09-12

Unveiling the potential of large language models in generating semantic and cross-language clones

Palash R. Roy, Ajmain I. Alam, Farouq Al-omari, Banani Roy, Chanchal K. Roy, Kevin A. Schneider

2023-09-12

Visual Speech Recognition for Low-resource Languages with Automatic Labels From Whisper Model

Jeong Hun Yeo, Minsu Kim, Shinji Watanabe, Yong Man Ro

2023-09-15

Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning

Michalis Vlachos, Mircea Lungu, Yash Raj Shrestha, Johannes-Rudolf David

2023-09-10

BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision

Jinzhao Zhou, Yiqun Duan, Yu-Cheng Chang, Yu-Kai Wang, Chin-Teng Lin

2023-09-21

MasakhaNEWS: News Topic Classification for African languages

David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime, Jesujoba Alabi, Atnafu Lambebo Tonja, Christine Mwase, Odunayo Ogundepo, Bonaventure F. P. Dossou, Akintunde Oladipo, Doreen Nixdorf, Chris Chinenye Emezue, sana al-azzawi, Blessing Sibanda, Davis David, Lolwethu Ndolela, Jonathan Mukiibi, Tunde Ajayi, Tatiana Moteu, Brian Odhiambo, Abraham Owodunni, Nnaemeka Obiefuna, Muhidin Mohamed, Shamsuddeen Hassan Muhammad, Teshome Mulugeta Ababu, Saheed Abdullahi Salahudeen, Mesay Gemeda Yigezu, Tajuddeen Gwadabe, Idris Abdulmumin, Mahlet Taye, Oluwabusayo Awoyomi, Iyanuoluwa Shode, Tolulope Adelani, Habiba Abdulganiyu, Abdul-Hakeem Omotayo, Adetola Adeeko, Abeeb Afolabi, Anuoluwapo Aremu, Olanrewaju Samuel, Clemencia Siro, Wangari Kimotho, Onyekachi Ogbu, Chinedu Mbonu, Chiamaka Chukwuneke,

2023-09-20

PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan pre-trained language models

Zhou Mingjun, Daiqing Zhuoma, Qun Nuo, Nyima Tashi

2023-09-21

NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages

Samuel Cahyawijaya, Holy Lovenia, Fajri Koto, Dea Adhista, Emmanuel Dave, Sarah Oktavianti, Salsabil Maulana Akbar, Jhonson Lee, Nuur Shadieq, Tjeng Wawan Cenggoro, Hanung Wahyuning Linuwih, Bryan Wilie, Galih Pradipta Muridan, Genta Indra Winata, David Moeljadi, Alham Fikri Aji, Ayu Purwarianti, Pascale Fung

2023-09-19

NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages

2023-09-20

LLaSM: Large Language and Speech Model

Yu Shu, Siwei Dong, Guangyao Chen, Wenhao Huang, Ruihua Zhang, Daochen Shi, Qiqi Xiang, Yemin Shi

2023-09-16

LLaSM: Large Language and Speech Model

Yu Shu, Siwei Dong, Guangyao Chen, Wenhao Huang, Ruihua Zhang, Daochen Shi, Qiqi Xiang, Yemin Shi

2023-09-12

Multimodal Modeling For Spoken Language Identification

Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa

2023-09-19

A Latent Space Theory for Emergent Abilities in Large Language Models

Hui Jiang

2023-09-13

Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics

Patricio Vera, Pedro Moya, Lisa Barraza

2023-09-21

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, Hieu Man, Nghia Trung Ngo, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen

2023-09-18

Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish

Arda Uzunoğlu, Gözde Gül Şahin

2023-09-13

Multilingual Code Co-Evolution Using Large Language Models

Jiyang Zhang, Pengyu Nie, Junyi Jessy Li, Milos Gligoric

2023-09-11

Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite

Chan-Jan Hsu, Chang-Le Liu, Feng-Ting Liao, Po-Chun Hsu, Yi-Chang Chen, Da-shan Shiu

2023-09-15

FonMTL: Towards Multitask Learning for the Fon Language

Bonaventure F. P. Dossou, Iffanice Houndayi, Pamely Zantou, Gilles Hacheme

2023-09-11

Language-Conditioned Observation Models for Visual Object Search

Thao Nguyen, Vladislav Hrosinkov, Eric Rosen, Stefanie Tellex

2023-09-13

Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?

Rishav Hada, Varun Gumma, Adrian de Wynter, Harshita Diddee, Mohamed Ahmed, Monojit Choudhury, Kalika Bali, Sunayana Sitaram

2023-09-14

ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes

Ran Gong, Jiangyong Huang, Yizhou Zhao, Haoran Geng, Xiaofeng Gao, Qingyang Wu, Wensi Ai, Ziheng Zhou, Demetri Terzopoulos, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang

2023-09-11

Towards Practical and Efficient Image-to-Speech Captioning with Vision-Language Pre-training and Multi-modal Tokens

Minsu Kim, Jeongsoo Choi, Soumi Maiti, Jeong Hun Yeo, Shinji Watanabe, Yong Man Ro

2023-09-15

Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models

Levon Haroutunian, Zhuang Li, Lucian Galescu, Philip Cohen, Raj Tumuluri, Gholamreza Haffari

2023-09-21

Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels

Panatchakorn Anantaprayoon, Masahiro Kaneko, Naoaki Okazaki

2023-09-18

Testing the limits of natural language models for predicting human language judgments

Tal Golan, Matthew Siegelman, Nikolaus Kriegeskorte, Christopher Baldassano