2020顶级会议回顾 | 从这些最佳论文中总结研究趋势(文中附论文下载链接)

欢迎关注“ 计算机视觉研究院

今天, 我们就从各大顶会的最佳论文中一窥当前研究热点和趋势。

AAAI 2020

最佳论文: WinoGrande: An Adversarial Winograd Schema Challenge at Scale

论文链接:https://arxiv.org/abs/1907.10641

最佳论文提名:A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search

论文链接:https://ai.dmi.unibas.ch/research/reading_group/alcazar-et-al-aaai2020.pdf

CVPR 2020

最佳论文:Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

论文链接:https://arxiv.org/abs/1911.11130

模型结构如下所示:

ACL 2020

最佳论文:Beyond Accuracy: Behavioral Testing of NLP Models with CheckList

论文链接:https://www.aclweb.org/anthology/2020.acl-main.442.pdf

ICML 2020

杰出论文 1:On Learning Sets of Symmetric Elements

论文链接:https://arxiv.org/pdf/2002.08599.pdf

杰出论文 2:Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems

论文链接:https://arxiv.org/pdf/2002.09611.pdf

杰出论文荣誉提名 1:Efficiently sampling functions from Gaussian process posteriors

论文链接:https://arxiv.org/abs/2002.09309

杰出论文荣誉提名 2:Generative Pretraining From Pixels

论文链接:https://cdn.openai.com/papers/Generative_Pretraining_from_Pixels_V2.pdf

ECCV 2020

最佳论文:RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

论文链接:https://arxiv.org/abs/2003.12039

最佳论文荣誉提名 1:Towards Streaming Image Understanding

论文地址:https://arxiv.org/abs/2005.10420

最佳论文荣誉提名 2:NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

论文链接:https://arxiv.org/abs/2003.08934

ICRA 2020

最佳论文:Preference-Based Learning for Exoskeleton Gait Optimization

论文链接:https://arxiv.org/abs/1909.12316

CoRL 2020

最佳论文:Learning Latent Representations to Influence Multi-Agent Interaction

论文链接:https://arxiv.org/pdf/2011.06619.pdf

最佳系统论文:SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

论文链接:https://arxiv.org/pdf/2010.09776.pdf

最佳 Presentation 论文:Accelerating Reinforcement Learning with Learned Skill Priors

论文链接:https://arxiv.org/pdf/2010.11944.pdf

NeurIPS 2020

最佳论文 1:Language Models are Few-Shot Learners

论文链接:https://papers.nips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf

最佳论文 2:No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium

论文链接:https://proceedings.neurips.cc/paper/2020/file/5763abe87ed1938799203fb6e8650025-Paper.pdf

最佳论文 3:Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method

论文链接:https://proceedings.neurips.cc/paper/2020/file/342c472b95d00421be10e9512b532866-Paper.pdf

IJCAI 2020

杰出论文 1:Synthesizing Aspect-Driven Recommendation Explanations from Reviews

论文链接:https://www.ijcai.org/Proceedings/2020/0336.pdf

杰出论文 2:A Multi-Objective Approach to Mitigate Negative Side Effects

论文链接:https://www.ijcai.org/Proceedings/2020/0050.pdf

SIGIR 2020

最佳论文:Controlling Fairness and Bias in Dynamic Learning-to-Rank

论文链接:https://dl.acm.org/doi/pdf/10.1145/3397271.3401100

最佳论文荣誉提名奖:Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics

论文链接:https://dl.acm.org/doi/pdf/10.1145/3397271.3401162

KDD 2020

最佳论文:On Sampled Metrics for Item Recommendation

论文链接:http://walid.krichene.net/papers/KDD-sampled-metrics.pdf

参考内容:https://www.reddit.com/r/MachineLearning/comments/knai5q/r_a_list_of_best_papers_from_top_ai_conferences/

© THE END 

我们开创“ 计算机视觉协会 ”知识星球一年有余,也得到很多同学的认可,我们定时会推送实践型内容与大家分享,在星球里的同学可以随时提问,随时提需求,我们都会及时给予回复及给出对应的答复。

如果想加入我们“ 计算机视觉研究院 ”,请扫二维码加入我们。我们会按照你的需求将你拉入对应的学习群!

计算机视觉研究院 主要涉及 深度学习 领域,主要致力于 人脸检测、人脸识别,多目标检测、目标跟踪、图像分割等 研究方向。 研究院 接下来会不断分享最新的论文算法新框架,我们这次改革不同点就是,我们要着重” 研究 “。之后我们会针对相应领域分享实践过程,让大家真正体会 摆脱理论 的真实场景,培养爱动手编程爱动脑思考的习惯!

计算机视觉研究院

长按扫描二维码关注我们

计算机视觉研究院
我还没有学会写个人说明!
上一篇

资本不感冒,巨头不扎堆:共享停车有没有搞头?

下一篇

2021年,还有更多韩国古装剧等着上热搜

你也可能喜欢

评论已经被关闭。

插入图片