NeurIPS 2023 Conference Submissions

Achieving Cross Modal Generalization with Multimodal Unified Representation
Yan Xia, Hai Huang, Jieming Zhu, Zhou Zhao
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Generator Identification for Linear SDEs with Additive and Multiplicative Noise
Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong
- Published: 21 Sept 2023, Last Modified: 01 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Robust Representation Learning via Asymmetric Negative Contrasting and Reverse Attention
Nuoyan Zhou, Decheng Liu, Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Zero-Shot Robustification of Zero-Shot Models with Auxiliary Foundation Models
Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Promises and Pitfalls of Threshold-based Auto-labeling
Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
On the Overlooked Structure of Stochastic Gradients
Zeke Xie, Qian-Yuan Tang, Mingming Sun, Ping Li
- Published: 21 Sept 2023, Last Modified: 04 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Private Everlasting Prediction
Moni Naor, Kobbi Nissim, Uri Stemmer, Chao Yan
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 oral
- Readers: Everyone
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning
Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Train 'n Trade: Foundations of Parameter Markets
Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
In-Context Learning Unlocked for Diffusion Models
Zhendong Wang, Yifan Jiang, Yadong Lu, yelong shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
- Published: 21 Sept 2023, Last Modified: 23 Dec 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
MGDD: A Meta Generator for Fast Dataset Distillation
Songhua Liu, Xinchao Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
Neel Guha, Mayee F Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Re
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Proximity-Informed Calibration for Deep Neural Networks
Miao Xiong, Ailin Deng, Pang Wei Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
Chih-Yu Lai, Fan-Keng Sun, Zhengqi Gao, Jeffrey Lang, Duane S Boning
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance
Bo Jiang, Ya-Feng Liu
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Zirui Zhao, Wee Sun Lee, David Hsu
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy
Zuhao Yang, Yingfang Yuan, Yang Xu, SHUO ZHAN, Huajun Bai, Kefan Chen
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing
Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J Lim
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
$L_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting
Xiaotong Yuan, Ping Li
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Federated Spectral Clustering via Secure Similarity Reconstruction
Dong Qiao, Chris Ding, Jicong Fan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Neural Graph Generation from Graph Statistics
Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte
- Published: 21 Sept 2023, Last Modified: 03 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone