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导语:NeurIPS,神经信息处理系统大会(Conferenceon Neural Information Processing Systems,简称NeurIPS),是机器学习领域的顶级国际会议,会议固定在每年的12月举行。NeurIPS2020提交数再次创新高,共计达到9454篇,总接收1900篇;接收率是20.09%,相对于去年来说接受率有所下降。 看到好的论文想要了解背后的代码原理,却不知道在哪里找?网上论文信息鱼龙混杂,无法全面获取会议论文信息?想要第一时间了解会议论文更新状态,想要知道都有那些会议论文值得关注,那请关注我们公众号(AMiner科技)或者AMiner网站。在NeurIPS2020的1900篇论文中,我们整理了部分已经开源的论文,整理成文档,并且后期也会整理成论文集供大家下载,敬请关注! 重点:论文持续更新中!
1.论文标题:Detecting Hands and Recognizing Physical Contact in the Wild 论文链接:https://www.aminer.cn/pub/5f7fdd328de39f0828397d88?conf=neurips2020 GitHub链接:https://github.com/cvlab-stonybrook/ContactHands
2.论文标题:Latent Template Induction with Gumbel-CRFs 论文链接:https://www.aminer.cn/pub/5f7fdd328de39f0828397ab3?conf=neurips2020 GitHub链接:https://github.com/FranxYao/Gumbel-CRf
3.论文标题:Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation 论文链接:https://www.aminer.cn/pub/5f7fdd328de39f0828397b31?conf=neurips2020 GitHub链接:https://github.com/yogeshbalaji/robustOT
4.论文标题:Neural Sparse Voxel Fields 论文链接:https://www.aminer.cn/pub/5f197a7c91e01182befeec17?conf=neurips2020 GitHub链接:https://github.com/facebookresearch/NSVF
5.论文标题:Self-Adaptive Training: beyond Empirical Risk Minimization 论文链接:https://www.aminer.cn/pub/5e54f1813a55acae32a25fa9?conf=neurips2020 GitHub链接:https://github.com/LayneH/self-adaptive-training
6.论文标题:Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect 论文链接:https://www.aminer.cn/pub/5f75b6d591e0111c1eb4d4a7?conf=neurips2020 GitHub链接:https://github.com/KaihuaTang/Long-Tailed-Recognition.pytorch
7.论文标题:Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients 论文链接:https://www.aminer.cn/pub/5f7c46ee91e0117ac2a78a66?conf=neurips2020 GitHub链接:https://github.com/wsmoses/Enzyme.jl
8.论文标题:Causal Intervention for Weakly Supervised Semantic Segmentation 论文链接:https://www.aminer.cn/pub/5f75a27f91e0111c1eb4d2eb?conf=neurips2020 GitHub链接:https://github.com/ZHANGDONG-NJUST/CONTA
9.论文标题:Pruning Filter in Filter 论文链接:https://www.aminer.cn/pub/5f75ed6391e0111c1eb4da32?conf=neurips2020 GitHub链接:https://github.com/fxmeng/Pruning-Filter-in-Filter
10.论文标题:Automatic Curriculum Learning through Value Disagreement 论文链接:https://www.aminer.cn/pub/5eede0b091e0116a23aafa91?conf=neurips2020 GitHub链接:https://github.com/zzyunzhi/vds
11.论文标题:AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows 论文链接:https://www.aminer.cn/pub/5f10204d91e01168a7d6fc08?conf=neurips2020 GitHub链接:https://github.com/hmdolatabadi/AdvFlow
12.论文标题:Incorporating BERT into Parallel Sequence Decoding with Adapters 论文链接:https://www.aminer.cn/pub/5f7fdd328de39f0828397a63?conf=neurips2020 GitHub链接:https://github.com/lemmonation/abnet
13.论文标题:MeshSDF: Differentiable Iso-Surface Extraction 论文链接:https://www.aminer.cn/pub/5edf5dd891e011bc656decd4?conf=neurips2020 GitHub链接:https://github.com/cvlab-epfl/MeshSDF
14.论文标题:Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation 论文链接:https://www.aminer.cn/pub/5f7fdd328de39f0828397c5c?conf=neurips2020 GitHub链接:https://github.com/Jacobew/AutoPanoptic
15.论文标题:Dual Instrumental Variable Regression 论文链接:https://www.aminer.cn/pub/5f7fdd328de39f08283979a1?conf=neurips2020 GitHub链接:https://github.com/krikamol/DualIV-NeurIPS2020
16.论文标题:A Ranking based, Balanced Loss Function Unifying Classification and Localisation in Object Detection 论文链接:https://www.aminer.cn/pub/5f7fdd328de39f08283979e3?conf=neurips2020 GitHub链接:https://github.com/kemaloksuz/aLRPLoss
17.论文标题:Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID 论文链接:https://www.aminer.cn/pub/5eda19d991e01187f5d6db61?conf=neurips2020 GitHub链接: https://github.com/yxgeee/SpCL https://github.com/open-mmlab/OpenUnReID
论文实现代码持续更新中,扫描下方二维码,关注AMiner-NeurIPS2020会议专题页面,即可第一时间获取所有会议信息。
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