NeurIPS

Molecular Fingerprints for Robust and Efficient ML-Driven Molecular Generation

Ruslan N. Tazhigulov, Joshua Schiller, Jacob Oppenheim, Max Winston

Comments 7 pages, 5 figures. To be presented in the Machine Learning and the Physical Sciences workshop, NeurIPS 2022, New Orleans, United States, December 3, 2022, https://ml4physicalsciences.github.io/2022/

New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction

Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis

Comments This NeurIPS 2022 GLFrontiers workshop paper summarizes results from the following journal article: arXiv:2202.00961. arXiv admin note: text overlap with arXiv:2205.14651

Giving Feedback on Interactive Student Programs with Meta-Exploration

Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn

Comments Advances in Neural Information Processing Systems (NeurIPS 2022). Selected as Oral

Can Strategic Data Collection Improve the Performance of Poverty Prediction Models?

Satej Soman, Emily Aiken, Esther Rolf, Joshua Blumenstock

Comments Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions

Zhening Li, Gabriel Poesia, Omar Costilla-Reyes, Noah Goodman, Armando Solar-Lezama

Comments 10 pages, 2 figures; to appear in 2nd MATH-AI Workshop at NeurIPS'22

Improved techniques for deterministic l2 robustness

Sahil Singla, Soheil Feizi

Comments NeurIPS 2022. arXiv admin note: text overlap with arXiv:2108.04062

An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods

Yanli Liu, Kaiqing Zhang, Tamer Başar, Wotao Yin

Comments NeurIPS 2020 (improve the proof of Lemma B.1 and Proposition G.1.)

Journal ref Advances in Neural Information Processing Systems 33 (2020): 7624-7636

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization

Lei Song, Ke Xue, Xiaobin Huang, Chao Qian

Comments NeurIPS 2022 accept

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection

Hangjie Yuan, Jianwen Jiang, Samuel Albanie, Tao Feng, Ziyuan Huang, Dong Ni, Mingqian Tang

Comments Accepted to NeurIPS 2022 as a Spotlight paper

COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images

Hayden Gunraj, Tia Tuinstra, Alexander Wong

Comments 6 pages, MED-NeurIPS 2022 workshop

Flamingo: a Visual Language Model for Few-Shot Learning

Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan

Comments 54 pages. In Proceedings of Neural Information Processing Systems (NeurIPS) 2022

Achieving Low Complexity Neural Decoders via Iterative Pruning

Vikrant Malik, Rohan Ghosh, Mehul Motani

Comments Machine Learning For Systems Workshop at NeurIPS 2021

Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge

Ziyun Li, Xinshao Wang, Di Hu, Neil M. Robertson, David A. Clifton, Christoph Meinel, Haojin Yang

Comments NeurIPS 2022 Workshop(Trustworthy and Socially Responsible Machine Learning) paper

Participation Interfaces for Human-Centered AI

Sean McGregor

Comments 4 pages, 2 figures. To be published in Human-Centered AI Workshop at NeurIPS 2022

Non-Linear Coordination Graphs

Yipeng Kang, Tonghan Wang, Xiaoran Wu, Qianlan Yang, Chongjie Zhang

Comments Authors are listed in alphabetical order

Journal ref NeurIPS 2022

On the Performance of Direct Loss Minimization for Bayesian Neural Networks

Yadi Wei, Roni Khardon

Comments I Cant Believe It is Not Better Workshop at NeurIPS 2022

Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction

Ali Behrouz, Margo Seltzer

Comments NeurIPS 2022 Temporal Graph Learning Workshop (Spotlight)

Identification of medical devices using machine learning on distribution feeder data for informing power outage response

Paraskevi Kourtza, Maitreyee Marathe, Anuj Shetty, Diego Kiedanski

Comments To appear in the Tackling Climate Change with Machine Learning workshop at NeurIPS 2022 (Proposals Track) 6 pages, 3 figures

PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning

Jelle Luijkx, Zlatan Ajanovic, Laura Ferranti, Jens Kober

Comments Accepted to NeurIPS 2022 Workshop on Robot Learning; 8 pages; 4 figures; partnr-learn.github.io

Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification

Joseph Early, Ying-Jung Deweese, Christine Evers, Sarvapali Ramchurn

Comments 14 pages total (4 main content; 2 acknowledgments + citations; 8 appendices); 8 figures (2 main; 6 appendix); published at "Tackling Climate Change with Machine Learning: Workshop at NeurIPS 2022"

Neural Bayesian Network Understudy

Paloma Rabaey, Cedric De Boom, Thomas Demeester

Comments 12 pages, submitted to NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022)

Build generally reusable agent-environment interaction models

Jun Jin, Hongming Zhang, Jun Luo

Comments Accepted in Foundation Models for Decision Making Workshop at Neural Information Processing Systems, 2022. Slides: https://docs.google.com/presentation/d/1PMS2xwTcztP2pPk1bsjqkQscI39Wy5tpmoE5-_ZC7Fo/edit?usp=sharing

Differentially Private Sampling from Distributions

Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith, Marika Swanberg

Comments 44 pages, preliminary version in NeurIPS 2021

Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes

Seth D. Axen, Alexandra Gessner, Christian Sommer, Nils Weitzel, Álvaro Tejero-Cantero

Comments 8 pages, 4 figures, Accepted at 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems (GPSMDMS)

Contextual Transformer for Offline Meta Reinforcement Learning

Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang

Comments Accepted by Foundation Models for Decision Making Workshop at Neural Information Processing Systems, 2022

MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack

Yunrui Yu, Xitong Gao, Cheng-Zhong Xu

Comments To appear in NeurIPS 2022. Project repository: https://github.com/lafeat/mora

Automatic Evaluation of Excavator Operators using Learned Reward Functions

Pranav Agarwal, Marek Teichmann, Sheldon Andrews, Samira Ebrahimi Kahou

Comments 11 pages, 5 figures, Accepted at Reinforcement Learning for Real Life (RL4RealLife) Workshop at NeurIPS 2022

Byzantine Spectral Ranking

Arnhav Datar, Arun Rajkumar, John Augustine

Comments 24 pages, accepted at NeurIPS 22

(When) Are Contrastive Explanations of Reinforcement Learning Helpful?

Sanjana Narayanan, Isaac Lage, Finale Doshi-Velez

Comments Accepted to NeurIPS 2022 workshop on Human in the Loop Learning

Do Neural Networks Trained with Topological Features Learn Different Internal Representations?

Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge

Comments To appear at NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations (NeurReps)