NeurIPS 2023 Conference Submissions

DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
Konstantinos P. Panousis, Sotirios Chatzis
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Efficient Activation Function Optimization through Surrogate Modeling
Garrett Bingham, Risto Miikkulainen
- Published: 21 Sept 2023, Last Modified: 09 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory
Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain
- Published: 21 Sept 2023, Last Modified: 13 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Replicable Clustering
Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Scale-Space Hypernetworks for Efficient Biomedical Image Analysis
Jose Javier Gonzalez Ortiz, John Guttag, Adrian V Dalca
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
EDGI: Equivariant Diffusion for Planning with Embodied Agents
Johann Brehmer, Joey Bose, Pim De Haan, Taco Cohen
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
Minghua Liu, Chao Xu, Haian Jin, Linghao Chen, Mukund Varma T, Zexiang Xu, Hao Su
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Smoothed Online Learning for Prediction in Piecewise Affine Systems
Adam Block, Max Simchowitz, Russ Tedrake
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Optimization of Inter-group criteria for clustering with minimum size constraints
Eduardo Sany Laber, Lucas Murtinho
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Kiki or Bouba? Sound Symbolism in Vision-and-Language Models
Morris Alper, Hadar Averbuch-Elor
- Published: 21 Sept 2023, Last Modified: 08 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
On the Constrained Time-Series Generation Problem
Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks
Rainer Engelken
- Published: 21 Sept 2023, Last Modified: 17 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians
Rainer Engelken
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
TransHP: Image Classification with Hierarchical Prompting
Wenhao Wang, Yifan Sun, Wei Li, Yi Yang
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Subject-driven Text-to-Image Generation via Apprenticeship Learning
Wenhu Chen, Hexiang Hu, YANDONG LI, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
Josephine Lamp, Mark Derdzinski, Christopher Hannemann, Joost Van der Linden, Lu Feng, Tianhao Wang, David Evans
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
GUOJUN XIONG, Jian Li
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning
Huiyang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Gao Peifeng, Qingming Huang
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior
Luke Travis, Kolyan Ray
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Directional diffusion models for graph representation learning
Run Yang, Yuling Yang, Fan Zhou, Qiang Sun
- Published: 21 Sept 2023, Last Modified: 23 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation
yatong sun, Bin Wang, Zhu Sun, Xiaochun Yang, Yan Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
CLadder: Assessing Causal Reasoning in Language Models
Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng LYU, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
What Truly Matters in Trajectory Prediction for Autonomous Driving?
Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone