Tweetovi
- Tweetovi, trenutna stranica.
- Tweetovi i odgovori
Blokirali ste korisnika/cu @JianfengGao0217
Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @JianfengGao0217
-
Check out my latest article: MSR's new neurosymbolic models learn to encode and process neural symbols https://www.linkedin.com/pulse/msrs-new-neurosymbolic-models-learn-encode-process-neural-gao … via
@LinkedInHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jianfeng Gao proslijedio/la je Tweet
AI has largely moved from symbol-based systems to artificial neural network–based models. TP-Transformer and TP-N2F show how a neurosymbolic approach that merges the two via neural symbols can enhance performance and interpretability: https://aka.ms/AA6s9xm
#NeurIPS2019Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out my latest article: DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation https://www.linkedin.com/pulse/dialogpt-large-scale-generative-pre-training-response-jianfeng-gao … via
@LinkedInHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
MT-DNN-SMART creates the new SOTA result on GLUE https://www.linkedin.com/pulse/mt-dnn-smart-creates-new-sota-result-glue-jianfeng-gao … via
@LinkedInHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out my latest article: UniLM (v1) is released! https://www.linkedin.com/pulse/unilm-v1-released-jianfeng-gao … via
@LinkedInHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jianfeng Gao proslijedio/la je Tweet
Introducing unified Vision-Language Pre-training (VLP)! VLP is pre-trained on millions of image-text pairs and fine-tuned for captioning and VQA. We achieve SotA on COCO (C: 129), VQA 2.0 (Overall 71), all w/ a single model. https://lnkd.in/eARbUzU . Code: https://lnkd.in/eF9W3T5 pic.twitter.com/u3i8MRBmit
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jianfeng Gao proslijedio/la je Tweet
"New State of the Art AI Optimizer: Rectified Adam (RAdam). Improve your AI accuracy instantly versus Adam, & why it works" It's been a long time since we've seen a new optimizer reliably beat the old favorites; this looks like a very encouraging approach!https://link.medium.com/iN3d4LMpbZ
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jianfeng Gao proslijedio/la je Tweet
Congrats to the
@MSFTDynamics365 and@MSFTResearch AI team for being the first achieve the human performance estimate on the GLUE benchmark.https://blogs.msdn.microsoft.com/stevengu/2019/06/20/microsoft-achieves-human-performance-estimate-on-glue-benchmark/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out my latest article: The Multi-domain Task Completion track at DSTC8 https://www.linkedin.com/pulse/multi-domain-task-completion-track-dstc8-jianfeng-gao … via
@LinkedInHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out my latest article: ConvLab: Multi-Domain End-to-End Dialog System Platform https://www.linkedin.com/pulse/convlab-multi-domain-end-to-end-dialog-system-platform-jianfeng-gao … via
@LinkedInHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jianfeng Gao proslijedio/la je Tweet
They say a picture is worth a thousand words. Sure, but the real trick is realizing a bot that draws pictures is using only a dozen. Throw in an ability to visualize an entire story and one day this bot could be working in the movies: https://aka.ms/AA5c681
#CVPR2019Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jianfeng Gao proslijedio/la je Tweet
Natural language is tied to how humans interact with their environment. Can we build intelligent agents that can learn to communicate in different modalities as do humans? Microsoft researchers are using Vision-Language Navigation to find out: https://aka.ms/AA5d4zw
#CVPR2019Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jianfeng Gao proslijedio/la je Tweet
Our paper has just received Best Student Paper award at
#CVPR2019. Another fabulous MSR intern work! Congratulations@xwang_lk Qiuyuan Huang@JianfengGao0217 Lei Zhang@shendinghan . Read the blog post https://www.microsoft.com/en-us/research/blog/see-what-we-mean-visually-grounded-natural-language-navigation-is-going-places/ … for details!@MSFTResearchhttps://twitter.com/MSFTResearch/status/1141023556026789893 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The papers are being presented at
#cvpr19.https://twitter.com/MSFTResearch/status/1140660619114242048 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out my latest article: Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading https://www.linkedin.com/pulse/conversing-reading-contentful-neural-conversation-on-demand-gao … via
@LinkedInHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out my latest article: The ICML-2019 tutorial on Conversational AI; https://www.linkedin.com/pulse/icml-2019-tutorial-conversational-ai-jianfeng-gao … via
@LinkedInHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out my latest article: MT-DNN reaches human performance on General Language Understanding Evaluation (GLUE) https://www.linkedin.com/pulse/mt-dnn-reaches-human-performance-general-language-evaluation-gao … via
@LinkedInHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jianfeng Gao proslijedio/la je Tweet
Excited to announce our
#ACL2019 work on "Conversing by Reading" https://arxiv.org/abs/1906.02738 . To produce conversation responses that are grounded and contentful, we present a new end-to-end approach to that jointly models response generation and on-demand machine reading. 1/2pic.twitter.com/pajKjyunBq
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jianfeng Gao proslijedio/la je Tweet
We introduce a new large conversation dataset grounded in external web pages (2.8M turns, 7.4M sentences of grounding). Joint work w/ my MSR mentors
@JianfengGao0217, Michel Galley, collaborators@chris_brockett,@AllenLao, Xiang Gao, Bill Dolan, and my advisor@Yejin 2/2pic.twitter.com/J66R0qXm9U
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jianfeng Gao proslijedio/la je Tweet
Watch us compress multiple ensembled models into a single Multi-Task Deep Neural Network via knowledge distillation for learning robust and universal text representations across multiple natural language understanding tasks. We're talking SotA in GLUE: https://aka.ms/AA530e8
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.