NeurIPS 2023 Conference Submissions

Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion
Jialin Chen, Shirley Wu, Abhijit Gupta, Zhitao Ying
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
An Adaptive Algorithm for Learning with Unknown Distribution Drift
Alessio Mazzetto, Eli Upfal
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach
Riccardo Poiani, Nicole Nobili, Alberto Maria Metelli, Marcello Restelli
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
Omar Chehab, Aapo Hyvarinen, Andrej Risteski
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
Jialin Chen, Zhitao Ying
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Knowledge Diffusion for Distillation
Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
- Published: 21 Sept 2023, Last Modified: 23 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
Xingdong Feng, Xin HE, Caixing Wang, Chao Wang, Jingnan Zhang
- Published: 21 Sept 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Regression with Cost-based Rejection
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Automatic Integration for Spatiotemporal Neural Point Processes
Zihao Zhou, Rose Yu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation
Susung Hong, Donghoon Ahn, Seungryong Kim
- Published: 21 Sept 2023, Last Modified: 19 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Hierarchical Randomized Smoothing
Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Direct Training of SNN using Local Zeroth Order Method
Bhaskar Mukhoty, Velibor Bojkovic, William de Vazelhes, Xiaohan Zhao, Giulia De Masi, Huan Xiong, Bin Gu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Disentangling Voice and Content with Self-Supervision for Speaker Recognition
Tianchi Liu, Kong Aik Lee, Qiongqiong Wang, Haizhou Li
- Published: 21 Sept 2023, Last Modified: 11 Mar 2024
- NeurIPS 2023 poster
- Readers: Everyone
Understanding and Improving Ensemble Adversarial Defense
Yian Deng, Tingting Mu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Aleksandar Stanić, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Theoretical and Practical Perspectives on what Influence Functions Do
Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
Yibo Yang, Stephan Eckstein, Marcel Nutz, Stephan Mandt
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
Lakshya Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K Lahiri, Sriram Rajamani
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
TRIAGE: Characterizing and auditing training data for improved regression
Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Generalization in the Face of Adaptivity: A Bayesian Perspective
Moshe Shenfeld, Katrina Ligett
- Published: 21 Sept 2023, Last Modified: 04 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets
Guanqiang Zhou, Ping Xu, Yue Wang, Zhi Tian
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields
Jiahua Dong, Yu-Xiong Wang
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone