NeurIPS

Long Story Short: Omitted Variable Bias in Causal Machine Learning

Victor Chernozhukov, Carlos Cinelli, Whitney Newey, Amit Sharma, Vasilis Syrgkanis

Comments This is an extended version of the paper was prepared for the NeurIPS-2021 Workshop "Causal Inference & Machine Learning: Why now?"; 55 pages; 10 figures

CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization

Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Yi Fang, Zhizhong Han

Comments Accepted by TPAMI 2024 (extension) and NeurIPS 2022. Project page:https://junshengzhou.github.io/CAP-UDF. Code:https://github.com/junshengzhou/CAP-UDF

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data

Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszár

Comments camera-ready NeurIPS 2023

DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning

Sabariswaran Mani, Sreyas Venkataraman, Abhranil Chandra, Adyan Rizvi, Yash Sirvi, Soumojit Bhattacharya, Aritra Hazra

Comments NeurIPS 2023 Train Offline Test Online Workshop and Competition (Best Paper Oral Presentation / Winning Competition Submission)

Provable Training for Graph Contrastive Learning

Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi

Comments NeurIPS 2023 spotlight. Camera-ready version

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé, Furong Huang

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

Defining error accumulation in ML atmospheric simulators

Raghul Parthipan, Mohit Anand, Hannah M. Christensen, J. Scott Hosking, Damon J. Wischik

Comments Submitted to NeurIPS 2024. 27 pages (including appendices)

Error Bounds for Learning with Vector-Valued Random Features

Samuel Lanthaler, Nicholas H. Nelsen

Comments 28 pages, 1 table, 3 figures. NeurIPS 2023 spotlight

Journal ref Advances in Neural Information Processing Systems Vol. 36 (2023) pp. 71834-71861

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks

Kenza Amara, Rex Ying, Zitao Zhang, Zhihao Han, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang

Comments Published at the Learning on Graphs 2022 (LoG2022) and New Frontiers in Graph Learning Workshop (Neurips 2022)

Multi-Subject Personalization

Arushi Jain, Shubham Paliwal, Monika Sharma, Vikram Jamwal, Lovekesh Vig

Comments 2023 Conference on Neural Information Processing Systems

A Generative Model for Accelerated Inverse Modelling Using a Novel Embedding for Continuous Variables

Sébastien Bompas, Stefan Sandfeld

Comments 11 pages, 11 figures, NeurIPS 2023

Budgeting Counterfactual for Offline RL

Yao Liu, Pratik Chaudhari, Rasool Fakoor

Comments Published at NeurIPS 2023

Towards ethical multimodal systems

Alexis Roger, Esma Aïmeur, Irina Rish

Comments 5 pages, multimodal ethical dataset building, accepted in the NeurIPS 2023 MP2 workshop

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model

Zeyu Gao, Yao Mu, Chen Chen, Jingliang Duan, Shengbo Eben Li, Ping Luo, Yanfeng Lu

Comments 13 pages, 13 figures, 4 tables, this version is accepted by IEEE Transactions on Intelligent Transportation Systems, the workshop version can be found in NeurIPS Deep RL Workshop 2022

Improving Diffusion Models for Inverse Problems using Manifold Constraints

Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye

Comments NeurIPS 2022 camera-ready; 29 pages, 16 figures

4D Panoptic Scene Graph Generation

Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu

Comments Accepted as NeurIPS 2023. Code: https://github.com/Jingkang50/PSG4D Previous Series: PSG https://github.com/Jingkang50/OpenPSG and PVSG https://github.com/Jingkang50/OpenPVSG

Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images -- Nevus & Melanoma

Yi Cui, Yao Li, Jayson R. Miedema, Sharon N. Edmiston, Sherif Farag, J. S. Marron, Nancy E. Thomas

Comments 5 figures, NeurIPS 2022 Workshop

STAR: A Benchmark for Situated Reasoning in Real-World Videos

Bo Wu, Shoubin Yu, Zhenfang Chen, Joshua B Tenenbaum, Chuang Gan

Comments NeurIPS

GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models

Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana

Comments Spotlight Presentation at Goal-conditioned Reinforcement Learning Workshop at NeurIPS 2023

Journal ref Transactions on Machine Learning Research (05/2024)

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing

Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su

Comments NeurIPS 2023; Website: https://osu-nlp-group.github.io/MagicBrush/

The Hessian Screening Rule

Johan Larsson, Jonas Wallin

Comments 25 pages, 14 figures

Journal ref Advances in neural information processing systems 35 (eds. Koyejo, S. et al.) vol. 35 15823-15835 (Curran Associates, Inc., New Orleans, USA, 2022)

The Strong Screening Rule for SLOPE

Johan Larsson, Małgorzata Bogdan, Jonas Wallin

Comments 15 pages, 5 figures

Journal ref Advances in neural information processing systems 33 (eds. Larochelle, H. et al.) vol. 33 14592-14603 (Curran Associates, Inc., Virtual, 2020)

Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models

Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang

Comments Accepted at NeurIPS 2023

Benchmarking Educational Program Repair

Charles Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny

Comments 15 pages, 2 figures, 3 tables. Non-archival report presented at the NeurIPS'23 Workshop on Generative AI for Education (GAIED)

Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure

Ian Dunn, David Ryan Koes

Comments This paper appeared as a spotlight paper at the NeurIPS 2023 Generative AI and Biology Workshop

Convergence Analysis of Sequential Federated Learning on Heterogeneous Data

Yipeng Li, Xinchen Lyu

Comments Accepted at NeurIPS 2023. arXiv admin note: text overlap with arXiv:2302.01633

Structured Click Control in Transformer-based Interactive Segmentation

Long Xu, Yongquan Chen, Rui Huang, Feng Wu, Shiwu Lai

Comments 10 pages, 6 figures, submitted to NeurIPS 2024

Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning

Richard Bornemann, Gautier Hamon, Eleni Nisioti, Clément Moulin-Frier

Comments Published at the 2nd Agent Learning in Open-Endedness Workshop at NeurIPS 2023

Adversarial Examples Are Not Real Features

Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang

Comments NeurIPS 2023

HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count

Noah Wiederhold, Ava Megyeri, DiMaggio Paris, Sean Banerjee, Natasha Kholgade Banerjee

Comments NeurIPS 2023 Datasets and Benchmarks