NeurIPS

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Model counting artifact for NeurIPS 20'

Implementation of algorithms described in: Alan Kuhnle. Nearly Linear-Time, Deterministic Algorithm for Maximizing (Non-Monotone) Submodular Functions under Cardinality Constraint. Neural and Information Processing Systems (NeurIPS), 2019.

NeurIPS 2018: AI for Prosthetics Challenge

Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

this is the correct one

[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

机器之心报道 编辑：泽南、张倩 你中了吗？ 9 月 29 日凌晨，全球人工智能顶会 NeurIPS 2021 放出了今年的论文接收列表。 据大会官方统计，今年 NeurIPS 共有 9122 篇有效论文投稿，总接收率 26%，只有 3% 被接收为 Spotlight 论文。 相比去年，今年的论文投稿