NeurIPS

Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning

Dongsu Lee, Minhae Kwon

Comments NeurIPS 2024 (Web: https://sites.google.com/view/eftm-neurips2024)

FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection

Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng

Comments NeurIPS 2024

Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning

Chia-Hsiang Kao, Bharath Hariharan

Comments Accepted at NeurIPS 2024. Code available at https://github.com/IandRover/CCL-NeurIPS24

Towards Croppable Implicit Neural Representations

Maor Ashkenazi, Eran Treister

Comments Accepted to NeurIPS 2024

Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler

Kunyu Peng, Di Wen, Kailun Yang, Ao Luo, Yufan Chen, Jia Fu, M. Saquib Sarfraz, Alina Roitberg, Rainer Stiefelhagen

Comments Accepted to NeurIPS 2024. The source code is publicly available at https://github.com/KPeng9510/EBiL-HaDS

Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning

Debargha Ganguly, Srinivasan Iyengar, Vipin Chaudhary, Shivkumar Kalyanaraman

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024) System 2 Reasoning At Scale Workshop

Harmonizing Visual Text Comprehension and Generation

Zhen Zhao, Jingqun Tang, Binghong Wu, Chunhui Lin, Shu Wei, Hao Liu, Xin Tan, Zhizhong Zhang, Can Huang, Yuan Xie

Comments accepted by NeurIPS 2024

Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs

Rui Yang, Ruomeng Ding, Yong Lin, Huan Zhang, Tong Zhang

Comments NeurIPS 2024

CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting

Jianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong

Comments Accepted by NeurIPS 2024, the project can be found at https://github.com/RafaDD/CondTSF

Quantifying the Gain in Weak-to-Strong Generalization

Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur

Comments 19 pages; NeurIPS 2024 camera-ready version with additional experiments, references and discussion

Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models

Wenshan Wu, Shaoguang Mao, Yadong Zhang, Yan Xia, Li Dong, Lei Cui, Furu Wei

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Few-Shot Adversarial Prompt Learning on Vision-Language Models

Yiwei Zhou, Xiaobo Xia, Zhiwei Lin, Bo Han, Tongliang Liu

Comments NeurIPS 2024

Do causal predictors generalize better to new domains?

Vivian Y. Nastl, Moritz Hardt

Comments 118 pages, 55 figures, accepted at NeurIPS'24

Explaining Chest X-ray Pathology Models using Textual Concepts

Vijay Sadashivaiah, Pingkun Yan, James A. Hendler

Comments Accepted at NeurIPS'24 workshop on Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond (AIM-FM)

Aligning Individual and Collective Objectives in Multi-Agent Cooperation

Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan

Comments 20 pages; Accepted by NeurIPS 2024

Towards Reliable Evaluation of Behavior Steering Interventions in LLMs

Itamar Pres, Laura Ruis, Ekdeep Singh Lubana, David Krueger

Comments Accepted to the NeurIPS 2024 - Workshop on Foundation Model Interventions

Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy

Benedict Aaron Tjandra, Muhammed Razzak, Jannik Kossen, Kunal Handa, Yarin Gal

Comments Accepted to NeurIPS Safe Generative AI Workshop 2024

Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability

Nina Gubina, Andrei Dmitrenko, Gleb Solovev, Lyubov Yamshchikova, Oleg Petrov, Ivan Lebedev, Nikita Serov, Grigorii Kirgizov, Nikolay Nikitin, Vladimir Vinogradov

Comments Accepted at 38th Conference on Neural Information Processing Systems (NeurIPS)

Sample-efficient Bayesian Optimisation Using Known Invariances

Theodore Brown, Alexandru Cioba, Ilija Bogunovic

Comments Accepted as a poster at NeurIPS 2024

Klein Model for Hyperbolic Neural Networks

Yidan Mao, Jing Gu, Marcus C. Werner, Dongmian Zou

Comments Accepted to NeurIPS 2024 Symmetry and Geometry in Neural Representations Workshop

One-Step Diffusion Distillation through Score Implicit Matching

Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-jun Qi

Comments Accepted by NeurIPS 2024

Journal ref NeurIPS 2024

DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model

Zhixiong Nan, Xianghong Li, Tao Xiang, Jifeng Dai

Comments 16 pages, 3 figures, Conference on Neural Information Processing Systems

Promoting cross-modal representations to improve multimodal foundation models for physiological signals

Ching Fang, Christopher Sandino, Behrooz Mahasseni, Juri Minxha, Hadi Pouransari, Erdrin Azemi, Ali Moin, Ellen Zippi

Comments NeurIPS 2024 AIM-FM Workshop

Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government

Amol Khanna, Adam McCormick, Andre Nguyen, Chris Aguirre, Edward Raff

Comments 2nd Workshop on Regulatable ML at NeurIPS 2024

On conditional diffusion models for PDE simulations

Aliaksandra Shysheya, Cristiana Diaconu, Federico Bergamin, Paris Perdikaris, José Miguel Hernández-Lobato, Richard E. Turner, Emile Mathieu

Comments Accepted at NeurIPS 2024

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models

Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola Borislavov Kovachki, Arash Vahdat

Comments Accepted in NeurIPS 2024

Fully Explicit Dynamic Gaussian Splatting

Junoh Lee, Chang-Yeon Won, Hyunjun Jung, Inhwan Bae, Hae-Gon Jeon

Comments Accepted at NeurIPS 2024

DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain

Kun Wang, Zhiqiang Yan, Junkai Fan, Wanlu Zhu, Xiang Li, Jun Li, Jian Yang

Comments Accepted by NeurIPS-2024

Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation

Chengting Yu, Lei Liu, Gaoang Wang, Erping Li, Aili Wang

Comments Accepted by NeurIPS 2024

Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization

Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li

Comments Accepted at NeurIPS 2024. arXiv admin note: text overlap with arXiv:2309.13391