NeurIPS 2023 Conference Submissions

Localized Symbolic Knowledge Distillation for Visual Commonsense Models
Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Collaboratively Learning Linear Models with Structured Missing Data
Chen Cheng, Gary Cheng, John Duchi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Bi-Level Offline Policy Optimization with Limited Exploration
Wenzhuo Zhou
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
Aaron J Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Learning Nonparametric Latent Causal Graphs with Unknown Interventions
Yibo Jiang, Bryon Aragam
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Contextual Gaussian Process Bandits with Neural Networks
Haoting Zhang, Jinghai He, Rhonda Righter, Zuo-Jun Shen, Zeyu Zheng
- Published: 21 Sept 2023, Last Modified: 07 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
Frederik Rahbæk Warburg, Marco Miani, Silas Brack, Søren Hauberg
- Published: 21 Sept 2023, Last Modified: 14 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Learning to Receive Help: Intervention-Aware Concept Embedding Models
Mateo Espinosa Zarlenga, Katherine M. Collins, Krishnamurthy Dj Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Uncovering Meanings of Embeddings via Partial Orthogonality
Yibo Jiang, Bryon Aragam, Victor Veitch
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Riemannian Projection-free Online Learning
Zihao Hu, Guanghui Wang, Jacob Abernethy
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
VeriX: Towards Verified Explainability of Deep Neural Networks
Min Wu, Haoze Wu, Clark Barrett
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Online robust non-stationary estimation
Abishek Sankararaman, Murali Balakrishnan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Scaling laws for language encoding models in fMRI
Richard Antonello, Aditya Vaidya, Alexander Huth
- Published: 21 Sept 2023, Last Modified: 04 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
LIMA: Less Is More for Alignment
Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, LILI YU, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Gradient-Based Feature Learning under Structured Data
Alireza Mousavi-Hosseini, Denny Wu, Taiji Suzuki, Murat A Erdogdu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
Quan Xiao, Songtao Lu, Tianyi Chen
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries
Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
OKRidge: Scalable Optimal k-Sparse Ridge Regression
Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
Guanlin Liu, Lifeng Lai
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks
Jules Berman, Benjamin Peherstorfer
- Published: 21 Sept 2023, Last Modified: 06 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
Jialu Li, Mohit Bansal
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
The s-value: evaluating stability with respect to distributional shifts
Suyash Gupta, Dominik Rothenhaeusler
- Published: 21 Sept 2023, Last Modified: 06 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone