NeurIPS

Unleash Model Potential: Bootstrapped Meta Self-supervised Learning

Jingyao Wang, Zeen Song, Wenwen Qiang, Changwen Zheng

Comments submitted to NIPS

BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning

Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran

Comments Submitted to Neurips Datasets and Benchmarks Track 2023

PDSketch: Integrated Planning Domain Programming and Learning

Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

Comments Minor typo fixes. NeurIPS 2022. Project page: https://pdsketch.csail.mit.edu

Grammar-Based Grounded Lexicon Learning

Jiayuan Mao, Haoyue Shi, Jiajun Wu, Roger P. Levy, Joshua B. Tenenbaum

Comments Minor typo fixes. NeurIPS 2021. Project page: https://g2l2.csail.mit.edu/

Probable Domain Generalization via Quantile Risk Minimization

Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf

Comments NeurIPS 2022 camera-ready (+ minor corrections)

Active Exploration for Inverse Reinforcement Learning

David Lindner, Andreas Krause, Giorgia Ramponi

Comments Presented at Conference on Neural Information Processing Systems (NeurIPS), 2022

Learning to Learn Graph Topologies

Xingyue Pu, Tianyue Cao, Xiaoyun Zhang, Xiaowen Dong, Siheng Chen

Comments Accepted at NeurIPS 2021

Journal ref Advances in Neural Information Processing Systems 2021

Generative Pretraining for Black-Box Optimization

Siddarth Krishnamoorthy, Satvik Mehul Mashkaria, Aditya Grover

Comments International Conference for Machine Learning 2023 NeurIPS Workshop for Foundational Models for Decision Making (Oral) 2022

Robust and Provably Monotonic Networks

Ouail Kitouni, Niklas Nolte, Mike Williams

Comments 15 pages, 7 figures, v2 extended journal version, v1 presented at the Machine Learning and the Physical Sciences Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS) December 13, 2021

Fair Rank Aggregation

Diptarka Chakraborty, Syamantak Das, Arindam Khan, Aditya Subramanian

Comments A preliminary version of this paper appeared in NeurIPS 2022

Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs

Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal

Comments Accepted to NeurIPS 2022. arXiv admin note: substantial text overlap with arXiv:2201.08227

History Aware Multimodal Transformer for Vision-and-Language Navigation

Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid, Ivan Laptev

Comments Accepted in NeurIPS 2021; project page at https://cshizhe.github.io/projects/vln_hamt.html; corrected a typo

End-to-end Alternating Optimization for Real-World Blind Super Resolution

Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan

Comments Extension of our previous NeurIPS paper. Accepted to IJCV

Journal ref International Journal of Computer Vision (IJCV) 2023

Environment Diversification with Multi-head Neural Network for Invariant Learning

Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao, Shou-De Lin

Comments In Proceedings of 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Diffusion Models for Graphs Benefit From Discrete State Spaces

Kilian Konstantin Haefeli, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer

Comments Presented at the First Learning on Graphs Conference (LoG 2022) and the NeurIPS 2022 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2022)

Bayesian Physics-Informed Neural Network for the Forward and Inverse Simulation of Engineered Nano-particles Mobility in a Contaminated Aquifer

Shikhar Nilabh, Fidel Grandia

Comments To be submitted to a NeurIPS 2023 workshop. arXiv admin note: substantial text overlap with arXiv:2211.03525

Learning Distinct and Representative Styles for Image Captioning

Qi Chen, Chaorui Deng, Qi Wu

Comments NeurIPS 2022

Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning

Hyunwook Kang, Taehwan Kwon, Jinkyoo Park, James R. Morrison

Journal ref Neural Information Processing Systems (NeurIPS) 2022

MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education

Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Ben Graff, Dongwon Lee

Comments Accepted by NeurIPS 2021 MATHAI4ED Workshop (Best Paper)

Explain My Surprise: Learning Efficient Long-Term Memory by Predicting Uncertain Outcomes

Artyom Sorokin, Nazar Buzun, Leonid Pugachev, Mikhail Burtsev

Journal ref Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations

Manuel Pérez-Carrasco, Pavlos Protopapas, Guillermo Cabrera-Vives

Comments Accepted to NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications

MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning

Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong

Comments Accepted by NeurIPS 2022 as Spotlight

Towards an AI to Win Ghana's National Science and Maths Quiz

George Boateng, Jonathan Abrefah Mensah, Kevin Takyi Yeboah, William Edor, Andrew Kojo Mensah-Onumah, Naafi Dasana Ibrahim, Nana Sam Yeboah

Comments 7 pages. Under review at Deep Learning Indaba and Black in AI Workshop @NeurIPS 2023

Scope Loss for Imbalanced Classification and RL Exploration

Hasham Burhani, Xiao Qi Shi, Jonathan Jaegerman, Daniel Balicki

Comments 11 pages, 2 figures, under review for NeurIPS 2023

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning

Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Caglar Gulcehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Żołna, Julian Schrittwieser, David Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals

Comments 32 pages, 13 figures, previous version published as a NeurIPS 2021 workshop: https://openreview.net/forum?id=Np8Pumfoty

CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains

Julian Gebele, Bonifaz Stuhr, Johann Haselberger

Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, 22 pages, 11 figures

Take 5: Interpretable Image Classification with a Handful of Features

Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn

Journal ref Progress and Challenges in Building Trustworthy Embodied AI @NeurIPS, December 2022

Intelligent Sight and Sound: A Chronic Cancer Pain Dataset

Catherine Ordun, Alexandra N. Cha, Edward Raff, Byron Gaskin, Alex Hanson, Mason Rule, Sanjay Purushotham, James L. Gulley

Comments Published as conference paper at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks

Journal ref 2021, Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track

MARLIM: Multi-Agent Reinforcement Learning for Inventory Management

Rémi Leluc, Elie Kadoche, Antoine Bertoncello, Sébastien Gourvénec

Comments Accepted at NeurIPS 2022 Workshop: Reinforcement Learning for Real Life (https://nips.cc/virtual/2022/workshop/50014)

Self-Supervised Learning Through Efference Copies

Franz Scherr, Qinghai Guo, Timoleon Moraitis

Comments Accepted at NeurIPS 2022

Journal ref Advances in Neural Information Processing Systems, 35, 4543-4557 (2022)