NeurIPS

FDAPT: Federated Domain-adaptive Pre-training for Language Models

Lekang Jiang, Filip Svoboda, Nicholas D. Lane

Comments Accepted at International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023

Metropolis Sampling for Constrained Diffusion Models

Nic Fishman, Leo Klarner, Emile Mathieu, Michael Hutchinson, Valentin de Bortoli

Comments NeurIPS 2023

Facing Off World Model Backbones: RNNs, Transformers, and S4

Fei Deng, Junyeong Park, Sungjin Ahn

Comments NeurIPS 2023. Added instantiation with S5. Project page: https://fdeng18.github.io/s4wm

ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image

Senthil Purushwalkam, Nikhil Naik

Comments Advances in Neural Information Processing Systems (NeurIPS 2023)

Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding

Jay Gala, Sauradip Nag, Huichou Huang, Ruirui Liu, Xiatian Zhu

Comments Accepted at the TCCML Workshop at NeurIPS 2023

Personalized Online Federated Learning with Multiple Kernels

Pouya M. Ghari, Yanning Shen

Comments Published at NeurIPS 2022

Journal ref in Advances in Neural Information Processing Systems, volume 35, pages 33316--33329, 2022

Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications

Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui

Comments Short version appears at 37th Conference on Neural Information Processing Systems (NeurIPS 2023), Workshop on Distribution Shifts (DistShift)

Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine

Emma Chen, Aman Kansal, Julie Chen, Boyang Tom Jin, Julia Rachel Reisler, David A Kim, Pranav Rajpurkar

Comments Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track

Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language

Eghbal A. Hosseini, Evelina Fedorenko

Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023). 20 pages, 5 main figures, 7 supplementary figures

A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation

Qitao Zhao, Ce Zheng, Mengyuan Liu, Chen Chen

Comments Accepted to NeurIPS 2023

Can We Reliably Improve the Robustness to Image Acquisition of Remote Sensing of PV Systems?

Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint-Drenan, Philippe Blanc

Comments 16 pages, 11 figures, 4 tables. Camera ready version accepted for the Tackling Climate Change with Machine Learning workshop at NeurIPS 2023. Note: Appendix B.1. overlaps with arXiv:2305.14979 (Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain)

Non-Convex Bilevel Optimization with Time-Varying Objective Functions

Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness Shroff

Journal ref NeurIPS 2023

Learning to Group Auxiliary Datasets for Molecule

Tinglin Huang, Ziniu Hu, Rex Ying

Comments Accepted at NeurIPS 2023, Camera Ready Version

TD Convergence: An Optimization Perspective

Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor

Comments Accepted at Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

Intervention Generalization: A View from Factor Graph Models

Gecia Bravo-Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva

Comments Camera ready version (NeurIPS 2023)

Differentiable Random Partition Models

Thomas M. Sutter, Alain Ryser, Joram Liebeskind, Julia E. Vogt

Comments Accepted at Neurips 2023. Code release will follow

Contrastive Training of Complex-Valued Autoencoders for Object Discovery

Aleksandar Stanić, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber

Comments accepted to NeurIPS 2023

Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain

Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint Drenan, Philippe Blanc

Comments 18 pages, 10 figures, 3 tables. Camera-ready version accepted at the XAI in action workshop at NeurIPS 2023

Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy

Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li

Comments Accepted by NeurIPS 2023

Counterfactually Comparing Abstaining Classifiers

Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas

Comments Accepted to NeurIPS 2023. Preliminary work presented at the ICML 2023 Workshop on Counterfactuals in Minds and Machines. Code available at https://github.com/yjchoe/ComparingAbstainingClassifiers

Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback

Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

Comments To appear at NeurIPS 2023

Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense

Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu

Comments NeurIPS 2023

Efficient Activation Function Optimization through Surrogate Modeling

Garrett Bingham, Risto Miikkulainen

Comments NeurIPS 2023. 28 pages, 16 figures, 6 tables

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

Zhaocheng Zhu, Xinyu Yuan, Mikhail Galkin, Sophie Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang

Comments NeurIPS 2023

Bayesian multi-band fitting of alerts for kilonovae detection

Biswajit Biswas, Junpeng Lao, Eric Aubourg, Alexandre Boucaud, Axel Guinot, Emille E. O. Ishida, Cécile Roucelle

Comments 7 pages, accepted submission to the NeurIPS 2023 Machine Learning and the Physical Sciences Workshop

Hierarchically Gated Recurrent Neural Network for Sequence Modeling

Zhen Qin, Songlin Yang, Yiran Zhong

Comments NeurIPS 2023 Spotlight. Zhen Qin and Songlin Yang contribute equally to this paper. Yiran Zhong is the corresponding author. The source code is available at https://github.com/OpenNLPLab/HGRN

Social Motion Prediction with Cognitive Hierarchies

Wentao Zhu, Jason Qin, Yuke Lou, Hang Ye, Xiaoxuan Ma, Hai Ci, Yizhou Wang

Comments NeurIPS 2023

Byzantine-Tolerant Methods for Distributed Variational Inequalities

Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takáč, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov

Comments NeurIPS 2023; 69 pages, 12 figures

Regression with Cost-based Rejection

Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng

Comments Accepted by NeurIPS 2023

Evaluating Uncertainty Quantification approaches for Neural PDEs in scientific applications

Vardhan Dongre, Gurpreet Singh Hora

Comments 8 pages, 4 figures, 1 table, AI for Science Workshop Attention Track, neurips 2023