NeurIPS 2023 Conference Submissions

Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval
Xiaoshuai Hao, Wanqian Zhang
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing
Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Dan Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Collaborative Learning via Prediction Consensus
Dongyang Fan, Celestine Mendler-Dünner, Martin Jaggi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Principled Weight Initialisation for Input-Convex Neural Networks
Pieter-Jan Hoedt, Günter Klambauer
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Large Language Models are Visual Reasoning Coordinators
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
Yotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Spontaneous symmetry breaking in generative diffusion models
Gabriel Raya, Luca Ambrogioni
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale
Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, Ying Shan
- Published: 21 Sept 2023, Last Modified: 07 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
One-step differentiation of iterative algorithms
Jerome Bolte, Edouard Pauwels, Samuel Vaiter
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation
Jiuhn Song, Seonghoon Park, Honggyu An, Seokju Cho, Min-Seop Kwak, Sungjin Cho, Seungryong Kim
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Learning Generalizable Agents via Saliency-guided Features Decorrelation
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
- Published: 21 Sept 2023, Last Modified: 22 Dec 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
R-divergence for Estimating Model-oriented Distribution Discrepancy
Zhilin Zhao, Longbing Cao
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Kernelized Reinforcement Learning with Order Optimal Regret Bounds
Sattar Vakili, Julia Olkhovskaya
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
Kaipeng Zheng, Huishuai Zhang, Weiran Huang
- Published: 21 Sept 2023, Last Modified: 26 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
AIMS: All-Inclusive Multi-Level Segmentation for Anything
Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Segment Anything in 3D with NeRFs
Jiazhong Cen, Zanwei Zhou, Jiemin Fang, chen yang, Wei Shen, Lingxi Xie, Dongsheng Jiang, XIAOPENG ZHANG, Qi Tian
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
- Published: 21 Sept 2023, Last Modified: 22 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory
Shida Wang, Beichen Xue
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Optimization or Architecture: How to Hack Kalman Filtering
Ido Greenberg, Netanel Yannay, Shie Mannor
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks
Jongseok Park, Kyungmin Bin, Gibum Park, Sangtae Ha, Kyunghan Lee
- Published: 21 Sept 2023, Last Modified: 21 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks
Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Improving Adversarial Robustness via Information Bottleneck Distillation
Huafeng Kuang, Hong Liu, YONGJIAN WU, Shin'ichi Satoh, Rongrong Ji
- Published: 21 Sept 2023, Last Modified: 27 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone