NeurIPS

Scalable Infomin Learning

Yanzhi Chen, Weihao Sun, Yingzhen Li, Adrian Weller

Comments 10 pages, accepted to NeurIPS 2022, slightly improved version

Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space

Jonatha Anselmi, Bruno Gaujal, Louis-Sébastien Rebuffi

Journal ref NeurIPS 2022 - 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States

An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation

Yichao Lu

Comments The NeurIPS 2022 Traffic4cast Workshop

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu

Comments Accepted by NeurIPS (spotlight) 2022

Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering

An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua

Comments In Proceedings of Neurips 2022

Contrastive Learning as Goal-Conditioned Reinforcement Learning

Benjamin Eysenbach, Tianjun Zhang, Ruslan Salakhutdinov, Sergey Levine

Comments NeurIPS 2022. Code is available on the website: https://ben-eysenbach.github.io/contrastive_rl

Imitating Past Successes can be Very Suboptimal

Benjamin Eysenbach, Soumith Udatha, Sergey Levine, Ruslan Salakhutdinov

Comments NeurIPS 2022

Teachable Reinforcement Learning via Advice Distillation

Olivia Watkins, Trevor Darrell, Pieter Abbeel, Jacob Andreas, Abhishek Gupta

Comments Published at NeurIPS 2021

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

Benjamin Eysenbach, Alexander Khazatsky, Sergey Levine, Ruslan Salakhutdinov

Comments NeurIPS 2022

Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification

Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu

Journal ref 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks., NeurIPS, Nov 2022, New Orleans, United States

Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Xiangyang Ju, Steven Farrell, Paolo Calafiura, Daniel Murnane, Prabhat, Lindsey Gray, Thomas Klijnsma, Kevin Pedro, Giuseppe Cerati, Jim Kowalkowski, Gabriel Perdue, Panagiotis Spentzouris, Nhan Tran, Jean-Roch Vlimant, Alexander Zlokapa, Joosep Pata, Maria Spiropulu, Sitong An, Adam Aurisano, V Hewes, Aristeidis Tsaris, Kazuhiro Terao, Tracy Usher

Comments Presented at NeurIPS 2019 Workshop "Machine Learning and the Physical Sciences"

Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors

Bilal Thonnam Thodi, Sai Venkata Ramana Ambadipudi, Saif Eddin Jabari

Journal ref Fifth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2022)

Cluster and Aggregate: Face Recognition with Large Probe Set

Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu

Comments To appear in NeurIPS 2022

A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity

Seo Taek Kong, Soomin Jeon, Dongbin Na, Jaewon Lee, Hong-Seok Lee, Kyu-Hwan Jung

Comments NeurIPS 2022

Effective Dimension in Bandit Problems under Censorship

Gauthier Guinet, Saurabh Amin, Patrick Jaillet

Comments 45 pages, 5 figures, NeurIPS 2022

Journal ref 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Robust Scheduling with GFlowNets

David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan

Comments Published at International Conference on Learning Representations (ICLR) 2023; an earlier version appeared at the NeurIPS 2022 workshop ML4Systems

Ordered Memory Baselines

Daniel Borisov, Matthew D'Iorio, Jeffrey Hyacinthe

Comments 9 pages, 6 figures. Submitted for the NeurIPS 2019 Reproducibility Challenge

On Narrative Information and the Distillation of Stories

Dylan R. Ashley, Vincent Herrmann, Zachary Friggstad, Jürgen Schmidhuber

Comments presented in the Information-Theoretic Principles in Cognitive Systems Workshop at the 36th Conference on Neural Information Processing Systems; 4 pages in main text + 2 pages of references + 8 pages of appendices, 2 figures in main text + 3 in appendices, 1 table in main text, 2 algorithms in appendices; source code available at https://github.com/dylanashley/story-distiller

GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng

Comments Accepted at NeurIPS 2022

Geodesic Graph Neural Network for Efficient Graph Representation Learning

Lecheng Kong, Yixin Chen, Muhan Zhang

Comments Accepted by NeurIPS 2022

TwiBot-22: Towards Graph-Based Twitter Bot Detection

Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo

Comments NeurIPS 2022, Datasets and Benchmarks Track

A Neural Corpus Indexer for Document Retrieval

Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang

Comments 19 pages, 6 figures, accepted by NeurIPS 2022

On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints

Abhishek K. Umrawal, Joshua C. C. Chan

Comments 9 pages, 6 figures, Accepted for presentation at MLECON: Machine Learning meets Econometrics workshop. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia

On the equivalence between graph isomorphism testing and function approximation with GNNs

Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna

Comments Strengthened Theorem 4 with a modified proof; Updated Figure 2 to include results from the later literature; Made other minor edits to improve clarity. 22 pages

Journal ref Original version published at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)

Confidence-based Reliable Learning under Dual Noises

Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu

Comments NeurIPS 2022

Hierarchical classification at multiple operating points

Jack Valmadre

Comments To appear at NeurIPS 2022

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher

Comments Accepted in NeurIPS 2022

Stochastic Multiple Target Sampling Gradient Descent

Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung

Comments Accepted to Advances in Neural Information Processing Systems (NeurIPS) 2022. 27 pages, 10 figures, 5 tables

Polynomial Neural Fields for Subband Decomposition and Manipulation

Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas Funkhouser, Bharath Hariharan, Serge Belongie

Comments Accepted to NeurIPS 2022

(Re)Defining Expertise in Machine Learning Development

Mark Díaz, Angela D. R. Smith

Comments NeurIPS 2022 Workshop on Data-Centric AI, 2 pages