NeurIPS 2023 Conference Submissions

RDumb: A simple approach that questions our progress in continual test-time adaptation
Ori Press, Steffen Schneider, Matthias Kuemmerer, Matthias Bethge
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima
Dongkuk Si, Chulhee Yun
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Streaming PCA for Markovian Data
Syamantak Kumar, Purnamrita Sarkar
- Published: 21 Sept 2023, Last Modified: 10 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Lookaround Optimizer: $k$ steps around, 1 step average
Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
Jacob Lindbäck, Zesen Wang, Mikael Johansson
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation
Yuxiang Lai, Xinghong Liu, Tao Zhou, Yi Zhou
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Template-free Articulated Neural Point Clouds for Reposable View Synthesis
Lukas Uzolas, Elmar Eisemann, Petr Kellnhofer
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time
Sayan Bhattacharya, Martin Costa, Silvio Lattanzi, Nikos Parotsidis
- Published: 21 Sept 2023, Last Modified: 20 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Connecting Certified and Adversarial Training
Yuhao Mao, Mark Niklas Mueller, Marc Fischer, Martin Vechev
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Toward Understanding Generative Data Augmentation
Chenyu Zheng, Guoqiang Wu, Chongxuan Li
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Analyzing and Improving Greedy 2-Coordinate Updates For Equality-Constrained Optimization via Steepest Descent in the 1-Norm
Amrutha Varshini Ramesh, Aaron Mishkin, Mark Schmidt, Yihan Zhou, Jonathan Wilder Lavington, Jennifer She
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Provable Training for Graph Contrastive Learning
Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
- Published: 21 Sept 2023, Last Modified: 08 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Learning Layer-wise Equivariances Automatically using Gradients
Tycho F.A. van der Ouderaa, Alexander Immer, Mark van der Wilk
- Published: 21 Sept 2023, Last Modified: 14 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Decision Tree for Locally Private Estimation with Public Data
Yuheng Ma, Han Zhang, Yuchao Cai, Hanfang Yang
- Published: 21 Sept 2023, Last Modified: 01 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Transforming to Yoked Neural Networks to Improve ANN Structure
Xinshun Liu, Yizhi Fang, Yichao Jiang
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Equivariant flow matching
Leon Klein, Andreas Krämer, Frank Noe
- Published: 21 Sept 2023, Last Modified: 25 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Implicit Manifold Gaussian Process Regression
Bernardo Fichera, Viacheslav Borovitskiy, Andreas Krause, Aude Billard
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
Ben Dai, Yixuan Qiu
- Published: 21 Sept 2023, Last Modified: 02 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction
Zechuan Zhang, Li Sun, Zongxin Yang, Ling Chen, Yi Yang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
Ryan Thompson, Amir Dezfouli, Robert Kohn
- Published: 21 Sept 2023, Last Modified: 02 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
Zixing Song, Yifei Zhang, Irwin King
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Deep Insights into Noisy Pseudo Labeling on Graph Data
Botao WANG, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
- Published: 21 Sept 2023, Last Modified: 05 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone