NeurIPS

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

Patrick Emami, Abhijeet Sahu, Peter Graf

Comments NeurIPS 2023 Datasets & Benchmarks Track camera-ready version. 35 pages. Code available at https://github.com/NREL/BuildingsBench/ and data available at https://data.openei.org/submissions/5859

Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination

Yuchen Bai, Jean-Baptiste Durand, Grégoire Vincent, Florence Forbes

Comments Accepted to NeurIPS 2023

Journal ref Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing

Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme

Comments Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks

SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning

Hector A. Gonzalez, Jiaxin Huang, Florian Kelber, Khaleelulla Khan Nazeer, Tim Langer, Chen Liu, Matthias Lohrmann, Amirhossein Rostami, Mark Schöne, Bernhard Vogginger, Timo C. Wunderlich, Yexin Yan, Mahmoud Akl, Christian Mayr

Comments Submitted at the Workshop on Machine Learning with New Compute Paradigms at NeurIPS 2023 (MLNPCP 2023)

Data Augmentations for Improved (Large) Language Model Generalization

Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei

Comments Published at NeurIPS 2023

Weakly Supervised 3D Open-vocabulary Segmentation

Kunhao Liu, Fangneng Zhan, Jiahui Zhang, Muyu Xu, Yingchen Yu, Abdulmotaleb El Saddik, Christian Theobalt, Eric Xing, Shijian Lu

Comments Accepted to NeurIPS 2023

Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design

Ibrahim Alabdulmohsin, Xiaohua Zhai, Alexander Kolesnikov, Lucas Beyer

Comments 10 pages, 7 figures, 9 tables. Version 2: Layout fixes

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

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies

Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian

Comments Accepted in NeurIPS 2023

General-Purpose In-Context Learning by Meta-Learning Transformers

Louis Kirsch, James Harrison, Jascha Sohl-Dickstein, Luke Metz

Comments Published at the NeurIPS 2022 Workshop on Meta-Learning. Full version currently under review

Robust Calibration For Improved Weather Prediction Under Distributional Shift

Sankalp Gilda, Neel Bhandari, Wendy Mak, Andrea Panizza

Comments Presented at the Bayesian Deep Learning workshop at NeurIPS 2021

FABind: Fast and Accurate Protein-Ligand Binding

Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan

Comments Accepted by Neural Information Processing Systems 2023 (NeurIPS 2023)

A foundation for exact binarized morphological neural networks

Theodore Aouad, Hugues Talbot

Comments Accepted at conference ICCV 2023 Workshop LBQNN. Same work, different format, accepted at conference NeurIPS 2023 Workshop WANT. 8 pages, 17 pages appendix

A deep learning framework for jointly extracting spectra and source-count distributions in astronomy

Florian Wolf, Florian List, Nicholas L. Rodd, Oliver Hahn

Comments 8 pages, 1 figure, NeurIPS 2023, Accepted at NeurIPS 2023 ML4PS workshop

SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning

Dohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee

Comments Published as a conference paper at NeurIPS 23

Cross-modal Active Complementary Learning with Self-refining Correspondence

Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu

Comments This paper is accepted by NeurIPS 2023

Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors

Pengchong Hu, Zhizhong Han

Comments NeurIPS 2023

Federated Multi-Objective Learning

Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma

Comments Accepted in NeurIPS 2023

AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation

Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Ya Zhang, Yanfeng Wang

Comments Accepted to NeurIPS 2023

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto

Comments Spotlight at NeurIPS 2023

Can Language Models Solve Graph Problems in Natural Language?

Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov

Comments NeurIPS 2023 Spotlight

Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings

Tongzhou Wang, Phillip Isola

Comments NeurIPS 2022 NeurReps Workshop Proceedings Track

Entry Dependent Expert Selection in Distributed Gaussian Processes Using Multilabel Classification

Hamed Jalali, Gjergji Kasneci

Comments A condensed version of this work has been accepted at the Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems workshop during NeurIPS 2022

Missing Value Chain in Generative AI Governance China as an example

Yulu Pi

Comments Workshop on Regulatable Machine Learning at the 37th Conference on Neural Information Processing Systems (RegML @ NeurIPS 2023)

Zero-shot Microclimate Prediction with Deep Learning

Iman Deznabi, Peeyush Kumar, Madalina Fiterau

Journal ref Tackling Climate Change with Machine Learning: workshop at NeurIPS 2023

Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks

Jinyung Hong, Theodore P. Pavlic

Comments 10 pages, 7 figures, 1 table, Appear in NeurIPS 2023

Automated Classification of Model Errors on ImageNet

Momchil Peychev, Mark Niklas Müller, Marc Fischer, Martin Vechev

Comments NeurIPS 2023

Diffusion Models as Masked Audio-Video Learners

Elvis Nunez, Yanzi Jin, Mohammad Rastegari, Sachin Mehta, Maxwell Horton

Comments Camera-ready version for the Machine Learning for Audio Workshop at NeurIPS 2023

PoET: A generative model of protein families as sequences-of-sequences

Timothy F. Truong, Tristan Bepler

Journal ref Advances in Neural Information Processing Systems (Vol. 36), 2023

Slot-guided Volumetric Object Radiance Fields

Di Qi, Tong Yang, Xiangyu Zhang

Comments NeurIPS 2023

Stress-testing the coupled behavior of hybrid physics-machine learning climate simulations on an unseen, warmer climate

Jerry Lin, Mohamed Aziz Bhouri, Tom Beucler, Sungduk Yu, Michael Pritchard

Comments 4 Pages, 3 Figures. Accepted to NeurIPS 2023 Climate Change AI Workshop. See https://www.climatechange.ai/papers/neurips2023/62