NeurIPS

AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang

Comments Accepted by NeurIPS 2024

Strategic Linear Contextual Bandits

Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu

Comments To appear at NeurIPS 2024

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping

Junyoung Seo, Kazumi Fukuda, Takashi Shibuya, Takuya Narihira, Naoki Murata, Shoukang Hu, Chieh-Hsin Lai, Seungryong Kim, Yuki Mitsufuji

Comments Accepted to NeurIPS 2024 / Project page: https://GenWarp-NVS.github.io

Efficient Combinatorial Optimization via Heat Diffusion

Hengyuan Ma, Wenlian Lu, Jianfeng Feng

Comments After the rebuttal version for NeurIPS 2024 (poster). Code is available in https://github.com/AwakerMhy/HeO

SlimSAM: 0.1% Data Makes Segment Anything Slim

Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang

Comments Accepted by NeurIPS 2024

Assumption violations in causal discovery and the robustness of score matching

Francesco Montagna, Atalanti A. Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, Francesco Locatello

Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination

Xihuai Wang, Shao Zhang, Wenhao Zhang, Wentao Dong, Jingxiao Chen, Ying Wen, Weinan Zhang

Comments Accepted in NeurIPS 2024 Dataset and Benchmark Track

Learning to Receive Help: Intervention-Aware Concept Embedding Models

Mateo Espinosa Zarlenga, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik

Comments Accepted as a spotlight at the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection

Xuefeng Du, Chaowei Xiao, Yixuan Li

Comments NeurIPS 2024 Spotlight

On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks

Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra

Comments Accepted to NeurIPS 2024

Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning

Zhixiang Shen, Shuo Wang, Zhao Kang

Comments Appear in NeurIPS 2024

ChatCam: Empowering Camera Control through Conversational AI

Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang

Comments Paper accepted to NeurIPS 2024

In-Context Learning with Representations: Contextual Generalization of Trained Transformers

Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi

Comments Accepted by NeurIPS 2024

Generative Adversarial Model-Based Optimization via Source Critic Regularization

Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob Gardner, James C. Gee, Osbert Bastani

Comments 31 pages, Accepted to NeurIPS 2024

TaskMet: Task-Driven Metric Learning for Model Learning

Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos

Comments NeurIPS 2023

When Is Inductive Inference Possible?

Zhou Lu

Comments Neurips 2024, spotlight

Robust Online Classification: From Estimation to Denoising

Changlong Wu, Ananth Grama, Wojciech Szpankowski

Comments Presentation has been improved, and new results have been added. A conference version, titled "Information-Theoretic Limits of Online Classification with Noisy Labels," will appear in NeurIPS 2024

Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts

Mohammad Sadil Khan, Sankalp Sinha, Talha Uddin Sheikh, Didier Stricker, Sk Aziz Ali, Muhammad Zeshan Afzal

Comments Accepted in NeurIPS 2024 (Spotlight)

Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks

Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De

Comments Published at NeurIPS 2023

Journal ref Advances in Neural Information Processing Systems, 36 (2024)

Experimental Designs for Heteroskedastic Variance

Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain

Journal ref Conference on Neural Information Processing Systems (NeurIPS'23), New Orleans, pp. 65967-66005, 2023

On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples

Pk Douglas, Farzad Vasheghani Farahani

Comments 2 figures

Journal ref Med NeurIPS 2019

What you say or how you say it? Predicting Conflict Outcomes in Real and LLM-Generated Conversations

Priya Ronald D'Costa, Evan Rowbotham, Xinlan Emily Hu

Comments Submitted to the NeurIPS 2024 Workshop on Behavioral ML

Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization

Runqi Lin, Chaojian Yu, Tongliang Liu

Comments Accepted by NeurIPS 2023

Harnessing the Power of Federated Learning in Federated Contextual Bandits

Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen

Comments Accepted to Transactions on Machine Learning Research (07/2024); a preliminary version appeared in the Multi-Agent Security Workshop at NeurIPS 2023

Triadic Temporal Exponential Random Graph Models (TTERGM)

Yifan Huang, Clayton Barham, Eric Page, PK Douglas

Journal ref 36th Conference on Neural Information Processing Systems (NeurIPS) 2022 Temporal Graph Learning Workshop

Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics

Koen Minartz, Yoeri Poels, Simon Koop, Vlado Menkovski

Comments Accepted to NeurIPS 2023

FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression

Youguang Chen, George Biros

Comments Accepted at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Exploring User-level Gradient Inversion with a Diffusion Prior

Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley Malin, Kieran Parsons, Ye Wang

Comments Presented at the International Workshop on Federated Learning in the Age of Foundation Models in conjunction with NeurIPS 2023

Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures

Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters

Comments Accepted at NeurIPS 2023. 35 pages, 6 figures

Journal ref Published paper: https://openreview.net/forum?id=TXoZiUZywf | Oral presentation: https://neurips.cc/virtual/2023/oral/73845

Fitting trees to $\ell_1$-hyperbolic distances

Joon-Hyeok Yim, Anna C. Gilbert

Comments 12 pages, 2 figures, 14 pages supplementary. 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Journal ref Advances in Neural Information Processing Systems (2023) 7263-7288