NeurIPS

Learning Distributions on Manifolds with Free-Form Flows

Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe

Comments NeurIPS 2024

Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling

Jingwei Zhao, Gus Xia, Ziyu Wang, Ye Wang

Comments Accepted by NeurIPS 2024; typos addressed

Auditing for Human Expertise

Rohan Alur, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah, Dennis Shung

Comments 30 pages, 10 figures. Appeared in the proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). 11/2024 replacement fixes typo in the definition of $τ_k$, as pointed out by Liuquan Nie

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation

Arvind Murari Vepa, Zukang Yang, Andrew Choi, Jungseock Joo, Fabien Scalzo, Yizhou Sun

Comments To be published in NeurIPS 2024

Nimbus: Secure and Efficient Two-Party Inference for Transformers

Zhengyi Li, Kang Yang, Jin Tan, Wen-jie Lu, Haoqi Wu, Xiao Wang, Yu Yu, Derun Zhao, Yancheng Zheng, Minyi Guo, Jingwen Leng

Comments Accepted by NIPS 2024

Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems

Emma Harvey, Emily Sheng, Su Lin Blodgett, Alexandra Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach

Comments NeurIPS 2024 Workshop on Evaluating Evaluations (EvalEval)

Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data

Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang

Comments Accepted by NeurIPS 2024

Lie-Equivariant Quantum Graph Neural Networks

Jogi Suda Neto, Roy T. Forestano, Sergei Gleyzer, Kyoungchul Kong, Konstantin T. Matchev, Katia Matcheva

Comments 10 pages, 5 figures, accepted to the Machine Learning with New Compute Paradigms (MLNCP) Workshop at NeurIPS 2024

SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training

Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao

Comments Accepted by NeurIPS 2024

Self-Distilled Depth Refinement with Noisy Poisson Fusion

Jiaqi Li, Yiran Wang, Jinghong Zheng, Zihao Huang, Ke Xian, Zhiguo Cao, Jianming Zhang

Comments Accepted by NeurIPS 2024

DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Xiaotong Li, Fan Zhang, Haiwen Diao, Yueze Wang, Xinlong Wang, Ling-Yu Duan

Comments Accepted by NeurIPS 2024. Project is available at https://github.com/baaivision/DenseFusion

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study

Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang

Comments NeurIPS 2024

Dynamic 3D Gaussian Fields for Urban Areas

Tobias Fischer, Jonas Kulhanek, Samuel Rota Bulò, Lorenzo Porzi, Marc Pollefeys, Peter Kontschieder

Comments NeurIPS'24 spotlight. Project page is available at https://tobiasfshr.github.io/pub/4dgf/

SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow

Chaoyang Wang, Xiangtai Li, Lu Qi, Henghui Ding, Yunhai Tong, Ming-Hsuan Yang

Comments NeurIPS 2024

A Careful Examination of Large Language Model Performance on Grade School Arithmetic

Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, Will Song, Tiffany Zhao, Pranav Raja, Charlotte Zhuang, Dylan Slack, Qin Lyu, Sean Hendryx, Russell Kaplan, Michele Lunati, Summer Yue

Comments 2024 NeurIPS Camera Ready (Datasets and Benchmarks Track)

FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge

Hanzhe Li, Jiaran Zhou, Yuezun Li, Baoyuan Wu, Bin Li, Junyu Dong

Comments Accepted by NeurIPS 2024

Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training

Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren

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

Efficient Lifelong Model Evaluation in an Era of Rapid Progress

Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel Bibi, Samuel Albanie

Comments Accepted as a conference paper at NeurIPS'24

LLMDFA: Analyzing Dataflow in Code with Large Language Models

Chengpeng Wang, Wuqi Zhang, Zian Su, Xiangzhe Xu, Xiaoheng Xie, Xiangyu Zhang

Comments 26 pages, 15 figures, 6 tables, NeurIPS 2024 poster

Understanding Model Selection For Learning In Strategic Environments

Tinashe Handina, Eric Mazumdar

Comments NeurIPS 2024

KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis

Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang

Comments NeurIPS 2024

Practical and Asymptotically Exact Conditional Sampling in Diffusion Models

Luhuan Wu, Brian L. Trippe, Christian A. Naesseth, David M. Blei, John P. Cunningham

Comments Code: https://github.com/blt2114/twisted_diffusion_sampler

Journal ref NeurIPS 2023

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems

Giung Nam, Juho Lee

Comments NeurIPS 2024

Applications of fractional calculus in learned optimization

Teodor Alexandru Szente, James Harrison, Mihai Zanfir, Cristian Sminchisescu

Comments NeurIPS Workshop on Optimization for Machine Learning

From Text to Pose to Image: Improving Diffusion Model Control and Quality

Clément Bonnet, Ariel N. Lee, Franck Wertel, Antoine Tamano, Tanguy Cizain, Pablo Ducru

Comments Published at the NeurIPS 2024 Workshop on Compositional Learning: Perspectives, Methods, and Paths Forward

ADOPT: Modified Adam Can Converge with Any $β_2$ with the Optimal Rate

Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

Comments Accepted at Neural Information Processing Systems (NeurIPS 2024)

Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation

Jintao Tong, Yixiong Zou, Yuhua Li, Ruixuan Li

Comments Accepted by NeurIPS 2024

Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting

Bong Gyun Kang, Dongjun Lee, HyunGi Kim, DoHyun Chung, Sungroh Yoon

Comments Co-first Author: Bong Gyun Kang, Dongjun Lee. NeurIPS 2024 (Conference on Neural Information Processing Systems)

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye

Comments Accepted at NeurIPS 2024. Our code and data are available at https://github.com/alibaba/thinking_bias.git

The Art of Saying No: Contextual Noncompliance in Language Models

Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi

Comments The first two authors are co-first authors; Accepted at NeurIPS 2024 Track on Datasets and Benchmarks