NeurIPS 2023 Conference Submissions

Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations
Arun Jambulapati, Kevin Tian
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Exponential Lower Bounds for Fictitious Play in Potential Games
Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Analyzing Generalization of Neural Networks through Loss Path Kernels
Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam M. Nguyen, Tsui-Wei Weng
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs
Yao Ni, Piotr Koniusz
- Published: 21 Sept 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering
Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas Guibas, Ke Li
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
Saptarshi Roy, Raymond K. W. Wong, Yang Ni
- Published: 21 Sept 2023, Last Modified: 13 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities
Aleksandr Beznosikov, Sergey Samsonov, Marina Sheshukova, Alexander Gasnikov, Alexey Naumov, Eric Moulines
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Data-Informed Geometric Space Selection
Shuai Zhang, Wenqi Jiang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation
Jiawei Fan, Chao Li, Xiaolong Liu, Meina Song, Anbang Yao
- Published: 21 Sept 2023, Last Modified: 26 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Budgeting Counterfactual for Offline RL
Yao Liu, Pratik Chaudhari, Rasool Fakoor
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan
- Published: 21 Sept 2023, Last Modified: 02 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Towards Free Data Selection with General-Purpose Models
Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Decoupling Quantile Representations from Loss Function
Aditya Challa, Soma S Dhavala, Snehanshu Saha
- 09 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
Ruiying Lu, YuJie Wu, Long Tian, Dongsheng Wang, Bo Chen, Xiyang Liu, Ruimin Hu
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
Tongtong Fang, Nan Lu, Gang Niu, Masashi Sugiyama
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Provably (More) Sample-Efficient Offline RL with Options
Xiaoyan Hu, Ho-fung Leung
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo
- Published: 21 Sept 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Survival Permanental Processes for Survival Analysis with Time-Varying Covariates
Hideaki Kim
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems
Junyi Li, Feihu Huang, Heng Huang
- Published: 21 Sept 2023, Last Modified: 17 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
Yihong Sun, Bharath Hariharan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning
Junyi Li, Heng Huang
- Published: 21 Sept 2023, Last Modified: 17 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network
Bochen Lyu, Zhanxing Zhu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone