NeurIPS

Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models

Zhong Yi Wan, Ricardo Baptista, Yi-fan Chen, John Anderson, Anudhyan Boral, Fei Sha, Leonardo Zepeda-Núñez

Comments NeurIPS 2023 (spotlight)

Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees

Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad, Nicolas Le Roux

Comments NeurIPS 2023

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks

Kexin Huang, Ying Jin, Emmanuel Candès, Jure Leskovec

Comments Published at NeurIPS 2023

Perception Test: A Diagnostic Benchmark for Multimodal Video Models

Viorica Pătrăucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alex Frechette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira

Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks

Attacks on Online Learners: a Teacher-Student Analysis

Riccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti

Comments 19 pages, 10 figures

Journal ref NeurIPS 2023

Unlimiformer: Long-Range Transformers with Unlimited Length Input

Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley

Comments NeurIPS 2023

OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, Sotiris Anagnostidis, Zhi-Rui Tam, Keith Stevens, Abdullah Barhoum, Nguyen Minh Duc, Oliver Stanley, Richárd Nagyfi, Shahul ES, Sameer Suri, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick

Comments Published in NeurIPS 2023 Datasets and Benchmarks

Your representations are in the network: composable and parallel adaptation for large scale models

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless Fowlkes, Ashwin Swaminathan, Stefano Soatto

Comments Accepted to NeurIPS 2023

The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks

Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro

Comments 42 pages; NeurIPS 2023 camera ready

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu

Comments Accepted to NeurIPS 2023

Joint Training of Deep Ensembles Fails Due to Learner Collusion

Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar

Comments To appear in the Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases

Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi

Comments Accepted to NeurIPS '23 (Spotlight). Camera ready version

SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization

Hao Dong, Ismail Nejjar, Han Sun, Eleni Chatzi, Olga Fink

Comments NeurIPS 2023

Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP

Qi Qian, Yuanhong Xu, Juhua Hu

Comments accepted by NeurIPS'23

A Path to Simpler Models Starts With Noise

Lesia Semenova, Harry Chen, Ronald Parr, Cynthia Rudin

Comments NeurIPS 2023

Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness

Jacy Reese Anthis, Victor Veitch

Comments Published at NeurIPS 2023

Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection

Noah Ziems, Gang Liu, John Flanagan, Meng Jiang

Comments Accepted to NeurIPS XAIA Workshop 2023

Optimal testing using combined test statistics across independent studies

Botond Szabó, Aad van der Vaart, Lasse Vuursteen, Harry van Zanten

Comments NeuRIPS 2023. 27 pages, 3 figures

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans

Kyowoon Lee, Seongun Kim, Jaesik Choi

Comments NeurIPS 2023. First two authors contributed equally. Code at http://github.com/leekwoon/rgg

Color Equivariant Convolutional Networks

Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert

Comments NeurIPS 2023. Code available on https://github.com/Attila94/ceconv

Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective

Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang

Comments Accepted by NeurIPS 2023

Label-Only Model Inversion Attacks via Knowledge Transfer

Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

Comments Accepted to Neurips 2023. The first two authors contributed equally

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery

Jialin Chen, Rex Ying

Comments Accepted at NeurIPS 2023, Camera Ready Version

D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion

Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying

Comments Accepted at NeurIPS 2023, Camera Ready Version

Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes

Cai Zhou, Xiyuan Wang, Muhan Zhang

Comments Accepted by NeurIPS 2023

NPCL: Neural Processes for Uncertainty-Aware Continual Learning

Saurav Jha, Dong Gong, He Zhao, Lina Yao

Comments Accepted as a poster at NeurIPS 2023

A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture

Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong

Comments Accepted by NeurIPS 2023, Datasets and Benchmarks Track

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union

Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko

Comments NeurIPS 2023

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI

Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen

Comments 21 pages, 11 figures, 9 tables. Accepted by NeurIPS 2023

Knolling bot 2.0: Enhancing Object Organization with Self-supervised Graspability Estimation

Yuhang Hu, Zhizhuo Zhang, Hod Lipson

Comments This paper has been accepted by the NeurIPS 2023 Robot Learning Workshop