NeurIPS

Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance

Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar

Comments accepted as a poster at NeurIPS 2024

ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods

MaryBeth Defrance, Maarten Buyl, Tijl De Bie

Comments Accepted at NeurIPS 2024 Datasets and Benchmarks Track

Is Your HD Map Constructor Reliable under Sensor Corruptions?

Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, Hui Zhang, Yi Zhou, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang

Comments NeurIPS 2024; 40 pages, 17 figures, 23 tables; Code at https://mapbench.github.io/

Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees

Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David Blei

Comments NeurIPS 2024

Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner

Xing Cui, Peipei Li, Zekun Li, Xuannan Liu, Yueying Zou, Zhaofeng He

Comments Accepted by NeurIPS 2024

4Diffusion: Multi-view Video Diffusion Model for 4D Generation

Haiyu Zhang, Xinyuan Chen, Yaohui Wang, Xihui Liu, Yunhong Wang, Yu Qiao

Comments NeurIPS 2024. Project Page: https://aejion.github.io/4diffusion/

Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective

Akiyoshi Tomihari, Issei Sato

Comments Accepted at NeurIPS 2024

Thinking Forward: Memory-Efficient Federated Finetuning of Language Models

Kunjal Panchal, Nisarg Parikh, Sunav Choudhary, Lijun Zhang, Yuriy Brun, Hui Guan

Comments Accepted to NeurIPS 2024

Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu

Comments NeurIPS 2024 Spotlight

Variational Delayed Policy Optimization

Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang

Comments NeurIPS 2024 (Spotlight)

Context and Geometry Aware Voxel Transformer for Semantic Scene Completion

Zhu Yu, Runmin Zhang, Jiacheng Ying, Junchen Yu, Xiaohai Hu, Lun Luo, Si-Yuan Cao, Hui-Liang Shen

Comments NIPS 2024 Spotlight

DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation

Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn

Comments Accepted at NeurIPS 2024

SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning

Jiying Zhang, Zijing Liu, Yu Wang, Yu Li

Comments 31 pages

Journal ref NeurIPS 2024

Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning

Haoyi Zhu, Yating Wang, Di Huang, Weicai Ye, Wanli Ouyang, Tong He

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover

Comments Neural Information Processing Systems (NeurIPS 2024)

Community Detection Guarantees Using Embeddings Learned by Node2Vec

Andrew Davison, S. Carlyle Morgan, Owen G. Ward

Comments Camera ready version for Neurips 2024

Soft ascent-descent as a stable and flexible alternative to flooding

Matthew J. Holland, Kosuke Nakatani

Comments Revised version accepted to NeurIPS 2024

3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors

Xi Liu, Chaoyi Zhou, Siyu Huang

Comments Accepted by NeurIPS 2024 Spotlight

Quantum Algorithms for Non-smooth Non-convex Optimization

Chengchang Liu, Chaowen Guan, Jianhao He, John C. S. Lui

Comments Accepted by NeurIPS 2024

Towards Combating Frequency Simplicity-biased Learning for Domain Generalization

Xilin He, Jingyu Hu, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Muhammad Haris Khan, Linlin Shen

Comments Accepted by NeurIPS 2024

Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension

Nicholas Konz, Maciej A. Mazurowski

Comments Published in NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning (SciForDL)

AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

Louis Serrano, Thomas X Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari

Journal ref Conference on Neural Information Processing Systems (NeurIPS) 2024

Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP

Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi

Comments NeurIPS 2024, 31 pages, 15 figures

SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents

Ethan Rathbun, Christopher Amato, Alina Oprea

Comments 23 pages, 14 figures, NeurIPS

TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White

Comments NeurIPS 2024 Poster

GFlowNets for Hamiltonian decomposition in groups of compatible operators

Isaac L. Huidobro-Meezs, Jun Dai, Guillaume Rabusseau, Rodrigo A. Vargas-Hernández

Comments 8 pages, 2 figures. Accepted for Machine Learning and the Physical Sciences Workshop, NeurIPS 2024. Submission Number: 167

Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly

Junsheng Zhou, Yu-Shen Liu, Zhizhong Han

Comments To appear at NeurIPS 2024. Project page: https://junshengzhou.github.io/DeepPriorAssembly

Mitigating Object Hallucination via Concentric Causal Attention

Yun Xing, Yiheng Li, Ivan Laptev, Shijian Lu

Comments To appear at NeurIPS 2024. Code is available at https://github.com/xing0047/cca-llava

Random Token Fusion for Multi-View Medical Diagnosis

Jingyu Guo, Christos Matsoukas, Fredrik Strand, Kevin Smith

Comments Originally published at the NeurIPS 2024 Workshop on Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond (AIM-FM)

The effect of fine-tuning on language model toxicity

Will Hawkins, Brent Mittelstadt, Chris Russell

Comments To be presented at NeurIPS 2024 Safe Generative AI Workshop