NeurIPS 2023 Conference Submissions

VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
- Published: 21 Sept 2023, Last Modified: 13 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Sampling weights of deep neural networks
Erik Lien Bolager, Iryna Burak, Chinmay Datar, Qing Sun, Felix Dietrich
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Towards Label Position Bias in Graph Neural Networks
Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Active Observing in Continuous-time Control
Samuel Holt, Alihan Hüyük, Mihaela van der Schaar
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren
- Published: 21 Sept 2023, Last Modified: 08 Dec 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Scaling Open-Vocabulary Object Detection
Matthias Minderer, Alexey A. Gritsenko, Neil Houlsby
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Neural Image Compression: Generalization, Robustness, and Spectral Biases
Kelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
Lisha Chen, Heshan Devaka Fernando, Yiming Ying, Tianyi Chen
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
How Does Adaptive Optimization Impact Local Neural Network Geometry?
Kaiqi Jiang, Dhruv Malik, Yuanzhi Li
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Streaming Algorithms and Lower Bounds for Estimating Correlation Clustering Cost
Sepehr Assadi, Vihan Shah, Chen Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Gaussian Differential Privacy on Riemannian Manifolds
Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
Fiona Lippert, Bart Kranstauber, E. Emiel van Loon, Patrick Forré
- Published: 21 Sept 2023, Last Modified: 22 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Auditing for Human Expertise
Rohan Alur, Loren Laine, Darrick K Li, Manish Raghavan, Devavrat Shah, Dennis Shung
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Norm-based Generalization Bounds for Sparse Neural Networks
Tomer Galanti, Mengjia Xu, Liane Galanti, Tomaso Poggio
- Published: 21 Sept 2023, Last Modified: 06 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Replicable Reinforcement Learning
ERIC EATON, Marcel Hussing, Michael Kearns, Jessica Sorrell
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
Yixing Lao, Xiaogang Xu, zhipeng cai, Xihui Liu, Hengshuang Zhao
- Published: 21 Sept 2023, Last Modified: 30 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
Yan Wang, Huaiqing Wu, Dan Nettleton
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Maximum Independent Set: Self-Training through Dynamic Programming
Lorenzo Brusca, Lars C.P.M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
Juan M Cardenas, Ben Adcock, Nick Dexter
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Zheng Zhang, Junxiang Wang, Liang Zhao
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
On the Importance of Exploration for Generalization in Reinforcement Learning
Yiding Jiang, J Zico Kolter, Roberta Raileanu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
3D-LLM: Injecting the 3D World into Large Language Models
Yining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du, Zhenfang Chen, Chuang Gan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone