NeurIPS 2023 Conference Submissions

Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
Berken Utku Demirel, Christian Holz
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-jie Lu, Runsheng Wang, Ru Huang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
GLIME: General, Stable and Local LIME Explanation
Zeren Tan, Yang Tian, Jian Li
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Robust and Actively Secure Serverless Collaborative Learning
Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Efficient Training of Energy-Based Models Using Jarzynski Equality
Davide Carbone, Mengjian Hua, Simon Coste, Eric Vanden-Eijnden
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Learning to Influence Human Behavior with Offline Reinforcement Learning
Joey Hong, Sergey Levine, Anca Dragan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi
- Published: 21 Sept 2023, Last Modified: 13 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
Yuki Kawana, Tatsuya Harada
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
Yuxin Cao, Yian Li, Yumeng Zhu, Derui Wang, Minhui Xue
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Federated Linear Bandits with Finite Adversarial Actions
Li Fan, Ruida Zhou, Chao Tian, Cong Shen
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Recommender Systems with Generative Retrieval
Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions
Zhaolu Liu, Robert Peach, Pedro A. M. Mediano, Mauricio Barahona
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Learning to Modulate pre-trained Models in RL
Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
Thomas Edward Yerxa, Yilun Kuang, Eero P Simoncelli, SueYeon Chung
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
Jon Donnelly, Srikar Katta, Cynthia Rudin, Edward P Browne
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee
Yuanshi Liu, Cong Fang, Tong Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
PDP: Parameter-free Differentiable Pruning is All You Need
Minsik Cho, Saurabh Adya, Devang Naik
- Published: 21 Sept 2023, Last Modified: 19 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
Huizong Yang, Yuxin Sun, Ganesh Sundaramoorthi, Anthony Yezzi
- Published: 21 Sept 2023, Last Modified: 07 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Efficient Beam Tree Recursion
Jishnu Ray Chowdhury, Cornelia Caragea
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Projection-Free Online Convex Optimization via Efficient Newton Iterations
Khashayar Gatmiry, Zakaria Mhammedi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
ANQ: Approximate Nearest-Neighbor Q Learning
Yiwen Chen, Chuheng Zhang, ZEDONG ZHANG, Li Zhao, Jiang Bian, HAOFENG LIU, Jiayi Tan, Marcelo H Ang Jr
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone