NeurIPS

Distributive Pre-Training of Generative Modeling Using Matrix-Product States

Sheng-Hsuan Lin, Olivier Kuijpers, Sebastian Peterhansl, Frank Pollmann

Comments 7+2 pages, 1+2 figures; Position paper in QTNML Workshop, NeurIPS 2021; See NeurIPS2021/accepted_papers/MPS_MNIST.pdf" target="_blank" rel="noopener">https://tensorworkshop.github.io/NeurIPS2021/accepted_papers/MPS_MNIST.pdf

Enhancing Mapless Trajectory Prediction through Knowledge Distillation

Yuning Wang, Pu Zhang, Lei Bai, Jianru Xue

Comments submitted to NeurIPS 2023

Towards Out-of-Distribution Adversarial Robustness

Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger, Pouya Bashivan

Comments Version of NeurIPS 2023 submission

Probabilistic Bias Mitigation in Word Embeddings

Hailey Joren, David Alvarez-Melis

Comments 4 pages, 4 figures, Workshop on Human-Centric Machine Learning at NeurIPS 2019

On Scalable Testing of Samplers

Yash Pote, Kuldeep S. Meel

Comments Appeared at NeurIPS 2022

Bounding and Approximating Intersectional Fairness through Marginal Fairness

Mathieu Molina, Patrick Loiseau

Comments 33 pages, 7 figures

Journal ref NeurIPS 2022 Proceedings (main conference track), pages 16796--16807, volume 35

Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently

Haoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis, Navid Azizan

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

OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion

Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin

Comments This manuscript has been accepted by NeurIPS 2022 dataset and benchmark track

S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process

Chulin Wang, Kyongmin Yeo, Xiao Jin, Andres Codas, Levente J. Klein, Bruce Elmegreen

Comments 9 pages, 8 figures

Journal ref Neural Information Processing Systems (NeurIPS 2021) Workshop

Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables

Jakob Runge

Comments 41 pages, published as spotlight paper in 35th Conference on Neural Information Processing Systems (NeurIPS 2021); this version has an updated Supplementary Material with corrected proofs (also updated in NeurIPS proceedings)

Journal ref In Advances in Neural Information Processing Systems 34 (NeurIPS 2021, Curran Associates, 2021)

Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback

Hang Wang, Sen Lin, Junshan Zhang

Comments NeurIPS 2021

RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training

Zui Chen, Lei Cao, Sam Madden

Comments 6 pages, 3 figures, NeurIPS 2022 Table Representation Learning workshop

Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery

Wiebke Günther, Urmi Ninad, jonas Wahl, Jakob Runge

Journal ref Advances in Neural Information Processing Systems 35 (2022) 16191-16202

Semi-supervised Relation Extraction via Data Augmentation and Consistency-training

Komal K. Teru

Comments Previously published at INTERPOLATE @ NeurIPS 2022 workshop

Journal ref Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023, 1112--1124

AdaFocal: Calibration-aware Adaptive Focal Loss

Arindam Ghosh, Thomas Schaaf, Matthew R. Gormley

Comments Published in NeurIPS 2022. Official code: https://github.com/3mcloud/adafocal

Journal ref Advances in Neural Information Processing Systems, volume 35, 2022, pages 1583-1595

Probing Classifiers are Unreliable for Concept Removal and Detection

Abhinav Kumar, Chenhao Tan, Amit Sharma

Journal ref Advances in Neural Information Processing Systems, Year 2022, Volume 35, Pages 17994-18008

Biologically Inspired Dynamic Thresholds for Spiking Neural Networks

Jianchuan Ding, Bo Dong, Felix Heide, Yufei Ding, Yunduo Zhou, Baocai Yin, Xin Yang

Comments https://proceedings.neurips.cc/paper_files/paper/2022/hash/2858f8c8683aaa8c12d487354cf328dc-Abstract-Conference.html

Journal ref Advances in Neural Information Processing Systems 35 (2022): 6090-6103

Robust Anytime Learning of Markov Decision Processes

Marnix Suilen, Thiago D. Simão, David Parker, Nils Jansen

Comments Accepted at NeurIPS 2022

Learning to Combine Per-Example Solutions for Neural Program Synthesis

Disha Shrivastava, Hugo Larochelle, Daniel Tarlow

Comments NeurIPS 2021 (camera-ready version)

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings

Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alex Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine Heller, Silvia Chiappa, Alexander D'Amour

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

One-Shot Learning of Visual Path Navigation for Autonomous Vehicles

Zhongying CuiZhu, Francois Charette, Amin Ghafourian, Debo Shi, Matthew Cui, Anjali Krishnamachar, Iman Soltani

Comments Machine Learning for Autonomous Driving Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS 20222), New Orleans, USA

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification

Qitian Wu, Wentao Zhao, Zenan Li, David Wipf, Junchi Yan

Comments Published in NeurIPS 2022. 26 pages in total with the appendix

Learning Manifold Dimensions with Conditional Variational Autoencoders

Yijia Zheng, Tong He, Yixuan Qiu, David Wipf

Comments Published in NeurIPS 2022

Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems

Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma

Comments NeurIPS 2022 CML4Impact Workshop, NeurIPS 2022 DistShift Workshop

The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization

Mufan Bill Li, Mihai Nica, Daniel M. Roy

Comments 48 pages, 10 figures. Advances in Neural Information Processing Systems (2022)

Entropic Issues in Likelihood-Based OOD Detection

Anthony L. Caterini, Gabriel Loaiza-Ganem

Comments Accepted to the NeurIPS 2021 ICBINB Workshop. Extended the result in expectation to a result with high probability

Deep-pretrained-FWI: combining supervised learning with physics-informed neural network

Ana Paula O. Muller, Clecio R. Bom, Jessé C. Costa, Matheus Klatt, Elisângela L. Faria, Marcelo P. de Albuquerque, Márcio P. de Albuquerque

Comments Paper present at machine Learning and the Physical Sciences workshop, NeurIPS 2022

Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark

Łukasz Augustyniak, Szymon Woźniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda, Mikołaj Morzy, Tomasz Kajdanowicz

Comments submitted to NeurIPS 2023 Datasets and Benchmarks track. Dataset: https://huggingface.co/datasets/Brand24/mms Code: https://github.com/Brand24-AI/mms_benchmark

Exact Solutions of a Deep Linear Network

Liu Ziyin, Botao Li, Xiangming Meng

Comments NeurIPS 2022

Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach

Qitian Wu, Chenxiao Yang, Junchi Yan

Comments Accepted to NeurIPS 2021 conference. The implementation codes are public available at https://github.com/qitianwu/FATE