NeurIPS 2023 Conference Submissions

Boosting Adversarial Transferability by Achieving Flat Local Maxima
Zhijin Ge, Hongying Liu, Xiaosen Wang, Fanhua Shang, Yuanyuan Liu
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Taylor TD-learning
Michele Garibbo, Maxime Robeyns, Laurence Aitchison
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression
Jing Xu, Jiaye Teng, Yang Yuan, Andrew C Yao
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
How do Minimum-Norm Shallow Denoisers Look in Function Space?
Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete
Daniel Bertschinger, Christoph Hertrich, Paul Jungeblut, Tillmann Miltzow, Simon Weber
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions
Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
On the Minimax Regret for Online Learning with Feedback Graphs
Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari, Nicolò Cesa-Bianchi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Optimal cross-learning for contextual bandits with unknown context distributions
Jon Schneider, Julian Zimmert
- Published: 21 Sept 2023, Last Modified: 03 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising
Hyeonsu Kim, Jeheon Woo, SEONGHWAN KIM, Seokhyun Moon, Jun Hyeong Kim, Woo Youn Kim
- Published: 21 Sept 2023, Last Modified: 08 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
Nived Rajaraman, Fnu Devvrit, Aryan Mokhtari, Kannan Ramchandran
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Approximate inference of marginals using the IBIA framework
Shivani Bathla, Vinita Vasudevan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo
Maxence Noble, Valentin De Bortoli, Alain Durmus
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Unified Framework for Rank-based Loss Minimization
Rufeng Xiao, Yuze Ge, Rujun Jiang, Yifan Yan
- Published: 21 Sept 2023, Last Modified: 03 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
On Evaluating Adversarial Robustness of Large Vision-Language Models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-man Cheung, Min Lin
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence
Hao Zheng, Hui Lin, Rong Zhao
- Published: 21 Sept 2023, Last Modified: 05 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance
Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
LICO: Explainable Models with Language-Image COnsistency
Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks
Changhyeon Lee, Seulki Lee
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Data Curation for Image Captioning with Text-to-Image Generative Models
Wenyan Li, Jonas F. Lotz, Chen Qiu, Desmond Elliott
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Active Learning-Based Species Range Estimation
Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Jaemoo Choi, Jaewoong Choi, Myungjoo Kang
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
The Utility of “Even if” Semifactual Explanation to Optimise Positive Outcomes
Eoin M. Kenny, Weipeng Fuzzy Huang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions
Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone