NeurIPS

Rethinking Variational Inference for Probabilistic Programs with Stochastic Support

Tim Reichelt, Luke Ong, Tom Rainforth

Comments Accepted to NeurIPS 2022

Coop: Memory is not a Commodity

Jianhao Zhang, Shihan Ma, Peihong Liu, Jinhui Yuan

Comments NeurIPS 2023 spotlight

CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders

Anthony Fuller, Koreen Millard, James R. Green

Comments NeurIPS 2023 Camera Ready

Comparing Optimization Targets for Contrast-Consistent Search

Hugo Fry, Seamus Fallows, Ian Fan, Jamie Wright, Nandi Schoots

Comments Socially Responsible Language Modelling Research (SoLaR) NeurIPS 2023

NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks

Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon

Comments 10 pages, 4 figures, accepted by 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function

Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han

Comments Accepted by NeurIPS 2023

Adversarially Robust Distributed Count Tracking via Partial Differential Privacy

Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang

Comments NeurIPS 2023

Multi-task Representation Learning for Pure Exploration in Bilinear Bandits

Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert Nowak

Comments Accepted in 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation

Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee

Comments Accepted in Socially Responsible Language Modelling Research (SoLaR) 2023 at NeurIPS 2023; the first two authors contribute equally

Implicit biases in multitask and continual learning from a backward error analysis perspective

Benoit Dherin

Comments Accepted in Mathematics of Modern Machine Learning Workshop at NeurIPS 2023

StableFDG: Style and Attention Based Learning for Federated Domain Generalization

Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon

Comments Accepted at NeurIPS 2023, 19 pages

ChatGPT-Powered Hierarchical Comparisons for Image Classification

Zhiyuan Ren, Yiyang Su, Xiaoming Liu

Comments Neurips 2023 Poster

Backdoor Threats from Compromised Foundation Models to Federated Learning

Xi Li, Songhe Wang, Chen Wu, Hao Zhou, Jiaqi Wang

Comments This paper has been accepted by FL@FM-NeurIPS 23 (International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023). The corresponding author is Jiaqi Wang (jqwang@psu.edu)

Bandit-Driven Batch Selection for Robust Learning under Label Noise

Michal Lisicki, Mihai Nica, Graham W. Taylor

Comments WANT@NeurIPS 2023 & OPT@NeurIPS 2023

Seeking Truth and Beauty in Flavor Physics with Machine Learning

Konstantin T. Matchev, Katia Matcheva, Pierre Ramond, Sarunas Verner

Comments 10 pages, 6 figures; Accepted by "AI for Science" NeurIPS 2023 Workshop

Estimating Propensity for Causality-based Recommendation without Exposure Data

Zhongzhou Liu, Yuan Fang, Min Wu

Comments 18 pages, 6 figures (including appendices), accepted as poster at NeurIPS 2023

Learning to Discover Skills through Guidance

Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo

Comments 29 pages, 18 figures, published at NeurIPS 2023

Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model

Maximilien Dreveton, Felipe S. Fernandes, Daniel R. Figueiredo

Journal ref NeurIPS 2023

Disentangling Voice and Content with Self-Supervision for Speaker Recognition

Tianchi Liu, Kong Aik Lee, Qiongqiong Wang, Haizhou Li

Comments Accepted to NeurIPS 2023 (main track)

MOFO: MOtion FOcused Self-Supervision for Video Understanding

Mona Ahmadian, Frank Guerin, Andrew Gilbert

Comments Accepted at the NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice

Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory

Ankur Sikarwar, Mengmi Zhang

Comments Conference on Neural Information Processing Systems (NeurIPS 2023)

Meta-Learning Adversarial Bandit Algorithms

Mikhail Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Zhiwei Steven Wu

Comments Merger of arXiv:2205.14128 and arXiv:2205.15921, with some additional improvements; to appear in NeurIPS 2023

Neural Algorithmic Reasoning Without Intermediate Supervision

Gleb Rodionov, Liudmila Prokhorenkova

Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems

Morteza Boroun, Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh

Comments Accepted to NeurIPS 2023

SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding

Paul-Edouard Sarlin, Eduard Trulls, Marc Pollefeys, Jan Hosang, Simon Lynen

Comments NeurIPS 2023, code available at https://github.com/google-research/snap

Optimal Transport Model Distributional Robustness

Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Phung

Comments Accepted at NeurIPs 2023

Journal ref Advances in Neural Information Processing Systems, 2023

Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows

Alexandre Verine, Benjamin Negrevergne, Muni Sreenivas Pydi, Yann Chevaleyre

Comments NeurIPS 2023

Online Nonstochastic Model-Free Reinforcement Learning

Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan

Comments Camera-ready version for NeurIPS 2023

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee

Comments NeurIPS 2023

PTQD: Accurate Post-Training Quantization for Diffusion Models

Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

Comments Accepted by NeurIPS 2023