NeurIPS 2023 Conference Submissions

Training Private Models That Know What They Don’t Know
Stephan Rabanser, Anvith Thudi, Abhradeep Guha Thakurta, Krishnamurthy Dj Dvijotham, Nicolas Papernot
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Improving Diffusion-Based Image Synthesis with Context Prediction
Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin CUI
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork
Bipasha Sen, Gaurav Singh, Aditya Agarwal, Rohith Agaram, Madhava Krishna, Srinath Sridhar
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Deep Momentum Multi-Marginal Schrödinger Bridge
Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos Theodorou
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu
- Published: 21 Sept 2023, Last Modified: 27 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Using persistent homology to understand dimensionality reduction in resting-state fMRI
Ty O Easley, Kevin Freese, Elizabeth Munch, Janine Diane Bijsterbosch
- 07 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
BanditPAM++: Faster $k$-medoids Clustering
Mo Tiwari, Ryan Kang, Donghyun Lee, Sebastian Thrun, Ilan Shomorony, Martin Jinye Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
False Discovery Proportion control for aggregated Knockoffs
Alexandre Blain, Bertrand Thirion, Olivier Grisel, Pierre Neuvial
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Max-Margin Token Selection in Attention Mechanism
Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Efficient Post-Processing for Equal Opportunity in Fair Multi-Class Classification
Ruicheng Xian, Han Zhao
- 07 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Diffusion Schrödinger Bridge Matching
Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet
- Published: 21 Sept 2023, Last Modified: 02 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Video Prediction Models as Rewards for Reinforcement Learning
Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
Zhaocheng Zhu, Xinyu Yuan, Mikhail Galkin, Sophie Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Spectral Evolution and Invariance in Linear-width Neural Networks
Zhichao Wang, Andrew William Engel, Anand Sarwate, Ioana Dumitriu, Tony Chiang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Agnostic Multi-Group Active Learning
Nicholas Rittler, Kamalika Chaudhuri
- Published: 21 Sept 2023, Last Modified: 07 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
DropCompute: simple and more robust distributed synchronous training via compute variance reduction
Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Yehuda Levy, Daniel Soudry
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Post Hoc Explanations of Language Models Can Improve Language Models
Satyapriya Krishna, Jiaqi Ma, Dylan Z Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju
- Published: 21 Sept 2023, Last Modified: 07 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Dynamic Pricing and Learning with Bayesian Persuasion
Shipra Agrawal, Yiding Feng, Wei Tang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
Yiyou Sun, Zhenmei Shi, Yixuan Li
- Published: 21 Sept 2023, Last Modified: 25 Dec 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Learning Unseen Modality Interaction
Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
Eric Neyman, Tim Roughgarden
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone