NeurIPS 2023 Conference Submissions

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Continuous-Time Functional Diffusion Processes
Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
João B. S. Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M. Buhmann
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion
Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori Yamada, Vijaya B Kolachalama, Venkatesh Saligrama
- Published: 21 Sept 2023, Last Modified: 22 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Unified Detection Framework for Inference-Stage Backdoor Defenses
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Finding Local Minima Efficiently in Decentralized Optimization
Wenhan Xian, Heng Huang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Counterfactual Memorization in Neural Language Models
Chiyuan Zhang, Daphne Ippolito, Katherine Lee, Matthew Jagielski, Florian Tramèr, Nicholas Carlini
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Improving neural network representations using human similarity judgments
Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew Kyle Lampinen, Simon Kornblith
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Jigsaw: Learning to Assemble Multiple Fractured Objects
Jiaxin Lu, Yifan Sun, Qixing Huang
- Published: 21 Sept 2023, Last Modified: 20 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Sparsity-Preserving Differentially Private Training of Large Embedding Models
Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Passive learning of active causal strategies in agents and language models
Andrew Kyle Lampinen, Stephanie C.Y. Chan, Ishita Dasgupta, Andrew Joohun Nam, Jane X Wang
- Published: 21 Sept 2023, Last Modified: 05 Feb 2025
- NeurIPS 2023 poster
- Readers: Everyone
On the choice of Perception Loss Function for Learned Video Compression
Sadaf Salehkalaibar, Truong Buu Phan, Jun Chen, Wei Yu, Ashish J Khisti
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
PrObeD: Proactive Object Detection Wrapper
Vishal Asnani, Abhinav Kumar, Suya You, Xiaoming Liu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Refined Mechanism Design for Approximately Structured Priors via Active Regression
Christos Boutsikas, Petros Drineas, Marios Mertzanidis, Alexandros Psomas, Paritosh Verma
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
CAT-Walk: Inductive Hypergraph Learning via Set Walks
Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
Quanqi Hu, Dixian Zhu, Tianbao Yang
- Published: 21 Sept 2023, Last Modified: 10 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization
Yuanyuan Liu, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Weijie Gan, Shirin Shoushtari, Yuyang Hu, Jiaming Liu, Hongyu An, Ulugbek Kamilov
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, Hongtu Zhu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant
Li-Yue Sun
- 09 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Self-Consistent Velocity Matching of Probability Flows
Lingxiao Li, Samuel Hurault, Justin Solomon
- Published: 21 Sept 2023, Last Modified: 21 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
An Inverse Scaling Law for CLIP Training
Xianhang Li, Zeyu Wang, Cihang Xie
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb
Jacob A Zavatone-Veth, Paul Masset, William Lingxiao Tong, Joseph Zak, Venkatesh N Murthy, Cengiz Pehlevan
- Published: 21 Sept 2023, Last Modified: 13 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone