#deeplearning4search search results
Some free goodies for the attendees of the #DeepLearning4Search session. Thanks to Now publishers for donating the free copies for #AFIRM2019.
Next: @xxEmineYilmazxx presenting IR approaches using word embeddings. #AFIRM2019 #DeepLearning4Search
Had a lot of fun talking about #DeepLearning4Search at #AFIRM2019. Looking forward to the hands-on lab sessions in the afternoon.
#DeepLearning4Search tutorial continues after the coffee break with #LearningToRank by @xxEmineYilmazxx. #AFIRM2019
.@spacemanidol putting the finishing touches on #DeepLearning4Search labs by talking about #MSMarco dataset for passage ranking. msmarco.org
The slides from today's #DeepLearning4Search session @ #AFIRM2019 is available here: bit.ly/DeepLearning4S….
Unexpected excitement at #AFIRM2019 as the fire alarm testing interrupts @xxEmineYilmazxx's talk. This #DeepLearning4Search session is figuratively on fire! 😂
All the material we are presenting today at the #DeepLearning4Search session is based on our recent overview article on #NeuralIR. #AFIRM2019 Download: bit.ly/fntir-neural
microsoft.com
An Introduction to Neural Information Retrieval - Microsoft Research
Neural ranking models for information retrieval (IR) use shallow or deep neural networks to rank search results in response to a query. Traditional learning to rank models employ supervised machine...
.@spacemanidol putting the finishing touches on #DeepLearning4Search labs by talking about #MSMarco dataset for passage ranking. msmarco.org
Some free goodies for the attendees of the #DeepLearning4Search session. Thanks to Now publishers for donating the free copies for #AFIRM2019.
Had a lot of fun talking about #DeepLearning4Search at #AFIRM2019. Looking forward to the hands-on lab sessions in the afternoon.
Unexpected excitement at #AFIRM2019 as the fire alarm testing interrupts @xxEmineYilmazxx's talk. This #DeepLearning4Search session is figuratively on fire! 😂
#DeepLearning4Search tutorial continues after the coffee break with #LearningToRank by @xxEmineYilmazxx. #AFIRM2019
Next: @xxEmineYilmazxx presenting IR approaches using word embeddings. #AFIRM2019 #DeepLearning4Search
All the material we are presenting today at the #DeepLearning4Search session is based on our recent overview article on #NeuralIR. #AFIRM2019 Download: bit.ly/fntir-neural
microsoft.com
An Introduction to Neural Information Retrieval - Microsoft Research
Neural ranking models for information retrieval (IR) use shallow or deep neural networks to rank search results in response to a query. Traditional learning to rank models employ supervised machine...
The slides from today's #DeepLearning4Search session @ #AFIRM2019 is available here: bit.ly/DeepLearning4S….
Next: @xxEmineYilmazxx presenting IR approaches using word embeddings. #AFIRM2019 #DeepLearning4Search
Some free goodies for the attendees of the #DeepLearning4Search session. Thanks to Now publishers for donating the free copies for #AFIRM2019.
Had a lot of fun talking about #DeepLearning4Search at #AFIRM2019. Looking forward to the hands-on lab sessions in the afternoon.
#DeepLearning4Search tutorial continues after the coffee break with #LearningToRank by @xxEmineYilmazxx. #AFIRM2019
.@spacemanidol putting the finishing touches on #DeepLearning4Search labs by talking about #MSMarco dataset for passage ranking. msmarco.org
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