NeurIPS

A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time

Ranran Shen, Pan Peng

Comments To appear at NeurIPS'23

VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models

Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho

Comments Accepted by NeurIPS 2023, NeurIPS 2023 BUGS Workshop Oral

Optimizing Prompts for Text-to-Image Generation

Yaru Hao, Zewen Chi, Li Dong, Furu Wei

Comments Accepted by NeurIPS-23

SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks

Rainer Engelken

Comments 10 pages, 4 figures, accepted at NeurIPS

Tractable Function-Space Variational Inference in Bayesian Neural Networks

Tim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal

Comments Published in Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

InsActor: Instruction-driven Physics-based Characters

Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Xiao Ma, Liang Pan, Ziwei Liu

Comments NeurIPS 2023. Project page is at https://jiawei-ren.github.io/projects/insactor

Sparse PCA with Oracle Property

Quanquan Gu, Zhaoran Wang, Han Liu

Comments 16 pages, 1 table. In NIPS 2014

A Physics-Informed Variational Autoencoder for Rapid Galaxy Inference and Anomaly Detection

Alexander Gagliano, V. Ashley Villar

Comments Accepted to the "Machine Learning and the Physical Sciences" Workshop at NeurIPS 2023

MIM4DD: Mutual Information Maximization for Dataset Distillation

Yuzhang Shang, Zhihang Yuan, Yan Yan

Comments Accepted to NeurIPS 2023

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning

Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang

Comments 10 pages, 4 figures, accepted by Thirty-seventh Conference on Neural Information Processing Systems(NeurIPS 2023)

LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms

Aditi Jha, Sam Havens, Jeremy Dohmann, Alex Trott, Jacob Portes

Comments 36 pages, 12 figures, NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following

Attributing Learned Concepts in Neural Networks to Training Data

Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan Tu, Henry Kvinge, Davis Brown

Comments ATTRIB Workshop at NeurIPS 2023

PreDiff: Precipitation Nowcasting with Latent Diffusion Models

Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle Maddix, Yi Zhu, Mu Li, Yuyang Wang

Comments Published at NeurIPS 2023. Camera-ready version

AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator

Elysia Q. Smyers, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer

Comments Accepted to and presented at NeurIPS 2023, Datasets and Benchmarks Track; fixed link formatting in the abstract

How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget

Guy Hacohen, Daphna Weinshall

Journal ref Proceedings: 37th Conference on Neural Information Processing Systems (NeurIPS), Dec 2023

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

Comments NeurIPS 2023 Datasets and Benchmarks Track camera-ready version

Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks

Mingze Wang, Chao Ma

Comments 94 pages, NeurIPS 2023 Spotlight

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training

Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng

Comments NeurIPS 2023

Active Learning Through a Covering Lens

Ofer Yehuda, Avihu Dekel, Guy Hacohen, Daphna Weinshall

Journal ref Proceedings: 36th Conference on Neural Information Processing Systems (NeurIPS), Dec 2022

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns

Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song

Comments Accepted by NeurIPS 2023

LightGCN: Evaluated and Enhanced

Milena Kapralova, Luca Pantea, Andrei Blahovici

Comments Accepted at NeurIPS'23 Workshop on New in ML; 3 pages, 2 figures, 3 tables

Adversarial Model for Offline Reinforcement Learning

Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng

Comments Accepted at the Neural Information Processing Systems (NeurIPS), 2023. Mohak Bhardwaj and Tengyang Xie contributed equally to this work. arXiv admin note: text overlap with arXiv:2211.04538

Measuring Value Alignment

Fazl Barez, Philip Torr

Comments arXiv admin note: text overlap with arXiv:2110.09240 by other authors

Journal ref NeurIPS 2023 MP2 Workshop

Energy-based learning algorithms for analog computing: a comparative study

Benjamin Scellier, Maxence Ernoult, Jack Kendall, Suhas Kumar

Comments NeurIPS 2023

FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing

Mingyuan Zhang, Huirong Li, Zhongang Cai, Jiawei Ren, Lei Yang, Ziwei Liu

Comments Accepted to NeurIPS 2023

C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting

Shane Bergsma, Timothy Zeyl, Javad Rahimipour Anaraki, Lei Guo

Journal ref Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Neuromorphic Co-Design as a Game

Craig M. Vineyard, William M. Severa, James B. Aimone

Comments 8 pages, 2 figures, accepted to First Workshop on Machine Learning with New Compute Paradigms at NeurIPS 2023

Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers

Byung-Hoon Kim, Jungwon Choi, EungGu Yun, Kyungsang Kim, Xiang Li, Juho Lee

Comments NeurIPS 2023 Temporal Graph Learning Workshop

Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning

Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang

Comments Accepted by NeurIPS 2023

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou

Comments NeurIPS 2023 Datasets and Benchmarks Track