NeurIPS

FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models

Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao

Comments Accepted by NeurIPS 2023

Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction

Zechuan Zhang, Li Sun, Zongxin Yang, Ling Chen, Yi Yang

Comments Accepted by NeurIPS 2023. Update appendix. Project page: https://river-zhang.github.io/GTA-projectpage/

Regularizing Neural Networks with Meta-Learning Generative Models

Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima

Comments Accepted to NeurIPS 2023

Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification

Rui Wang, Peipei Li, Huaibo Huang, Chunshui Cao, Ran He, Zhaofeng He

Comments Accepted by NeurIPS 2023

Segment Anything in High Quality

Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu

Comments NeurIPS 2023. We propose HQ-SAM to upgrade SAM for high-quality zero-shot segmentation. Github: https://github.com/SysCV/SAM-HQ

LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections

M. Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Mateusz Kozinski, Horst Possegger, Rogerio Feris, Horst Bischof

Comments NeurIPS 2023 (Camera Ready) - Project Page: https://jmiemirza.github.io/LaFTer/

The Crucial Role of Normalization in Sharpness-Aware Minimization

Yan Dai, Kwangjun Ahn, Suvrit Sra

Comments 30 pages, Published in 37th Neural Information Processing Systems (NeurIPS 2023)

Evaluating Open-QA Evaluation

Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang

Comments Accepted by Neurips-2023 Datasets and Benchmarks track; 28 pages

Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization

Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli

Comments NeurIPS 2023

Revisiting the Evaluation of Image Synthesis with GANs

Mengping Yang, Ceyuan Yang, Yichi Zhang, Qingyan Bai, Yujun Shen, Bo Dai

Comments NeurIPS 2023 datasets and benchmarks track

Learning curves for deep structured Gaussian feature models

Jacob A. Zavatone-Veth, Cengiz Pehlevan

Comments 14+18 pages, 2+1 figures. NeurIPS 2023 Camera Ready

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

The Geometry of Neural Nets' Parameter Spaces Under Reparametrization

Agustinus Kristiadi, Felix Dangel, Philipp Hennig

Comments NeurIPS 2023

On the Ability of Graph Neural Networks to Model Interactions Between Vertices

Noam Razin, Tom Verbin, Nadav Cohen

Comments Accepted to NeurIPS 2023

NVIDIA FLARE: Federated Learning from Simulation to Real-World

Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng

Comments Accepted at the International Workshop on Federated Learning, NeurIPS 2022, New Orleans, USA (https://federated-learning.org/fl-neurips-2022); Revised version v2: added Key Components list, system metrics for homomorphic encryption experiment; Extended v3 for journal submission

Journal ref IEEE Data Eng. Bull., Vol. 46, No. 1, 2023

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions

Leonidas Tsepenekas, Ivan Brugere, Freddy Lecue, Daniele Magazzeni

Comments Accepted at NeurIPS 2023

Harnessing Hard Mixed Samples with Decoupled Regularizer

Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li

Comments NeurIPS'2023 Camera Ready. The source code is available at https://github.com/Westlake-AI/openmixup

Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images

Wei Lou, Xinyi Yu, Chenyu Liu, Xiang Wan, Guanbin Li, Siqi Liu, Haofeng Li

Comments The second place in NeurIPS 2022 cell segmentation challenge (https://neurips22-cellseg.grand-challenge.org/), released code: https://github.com/lhaof/CellSeg

You Only Condense Once: Two Rules for Pruning Condensed Datasets

Yang He, Lingao Xiao, Joey Tianyi Zhou

Comments Accepted by NeurIPS 2023

Learning Motion Refinement for Unsupervised Face Animation

Jiale Tao, Shuhang Gu, Wen Li, Lixin Duan

Comments NeurIPS 2023

Fast Approximation of Similarity Graphs with Kernel Density Estimation

Peter Macgregor, He Sun

Comments Spotlight paper at NeurIPS'23

Improving Molecular Properties Prediction Through Latent Space Fusion

Eduardo Soares, Akihiro Kishimoto, Emilio Vital Brazil, Seiji Takeda, Hiroshi Kajino, Renato Cerqueira

Comments 8 Pages, 4 Figures - Submited to the AI4Science Workshop - Neurips 2023

Neural Sampling in Hierarchical Exponential-family Energy-based Models

Xingsi Dong, Si Wu

Comments NeurIPS 2023

Towards Stable Backdoor Purification through Feature Shift Tuning

Rui Min, Zeyu Qin, Li Shen, Minhao Cheng

Comments NeurIPS 2023 paper. The first two authors contributed equally

Incentivized Communication for Federated Bandits

Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang

Comments 25 pages, 4 figures. Accepted at NeurIPS 2023

Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition

Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng

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

UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction

Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong

Comments NeurIPS 2023 Track on Datasets and Benchmarks

Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping

Jia-Qi Yang, De-Chuan Zhan, Le Gan

Comments NeurIPS'23. https://github.com/ThyrixYang/group_calibration

Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Dataset

Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li

Comments Accepted by NeurIPS 2023 Datasets and Benchmarks Track

Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data

Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan

Comments Accepted by NeurIPS 2023

Disentanglement via Latent Quantization

Kyle Hsu, Will Dorrell, James C. R. Whittington, Jiajun Wu, Chelsea Finn

Comments NeurIPS 2023 camera-ready. 26 pages, 15 figures. Code available at https://github.com/kylehkhsu/latent_quantization