Saeid Balaneshin

Great paper An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments By Elaheh Barati @elliee_ba and Xuewen Chen : arxiv.org/abs/1907.09466 #reinforcementlearning #neuralnetwork #neuralnetworks #DeepLearning

"Attentive Neural Architecture for Ad-hoc Structured Document Retrieval" w/ @sBalaneshin and Fedor Nikolaev accepted as full paper to #cikm2018

@CharlotteHase A lot of research is done BEFORE the literature review is conducted, so putting the related work at the end is a more honest way of reporting how the research was retrospectively fit into prior work. I call it "Ungrounded Theory": intuition & naivety can be innovative & powerful

Check out the website for LND4IR @sigir2018 lnd4ir.github.io #SIGIR2018 twitter.com/HamedZamani/st…

Join the @Strath_iSchool: Three Fully Funded Industrial PhDs are available to work on Machine Learning, Human Computer Interaction and Conversational Agents within my research group .@StrathCIS w/ .@martinhalvey bit.ly/PhDs-Azzopardi… starting 2018/2019 for EU/UK students.

Releasing Reptile, a Scalable Meta-Learning Algorithm: blog.openai.com/reptile/ - Try it out with our interactive tool for few-shot classification.

Thrilled to announce that @eugeneAgichtein (Associate Professor, @EmoryUniversity ) will be giving a Keynote talk on "Improving Search By Learning from (Evolving) User Interactions" at the #wsdm2018 Learn-IR workshop Friday 9th Feb Workshop: #program" target="_blank" rel="nofollow noopener">task-ir.github.io/wsdm2018-learn… @EmoryIRLab

Our #wsdm2018 Tutorial on metrics of user engagement -- Applications to Search & E- commerce with @hongliangjie ... The slides availlable at slideshare.net/mounialalmas/t… ... feedbacks and comment welcome.

Announcing Requests for Research 2.0, a new set of unsolved problems which have come up in the course of our research at OpenAI: blog.openai.com/requests-for-r…. Intended for newcomers and practitioners alike!

Announcing TensorFlow 1.5: Eager Execution, #TFLite, new GPU and more. Read the blog post ↓ goo.gl/Ata2kz

Congratulations Dr. Christophe! @cvangysel

Efficient Processing of Deep Neural Networks: A Tutorial and Survey arxiv.org/abs/1703.09039 good reading.

Our paper "Neural Ranking Models with Multiple Document Fields" accepted at #WSDM2018 w/ @UnderdogGeek, Song, Tiwary, @nick_craswell

Dataset: 100k chest X-rays from 30k unique patients with different forms of lung cancer. From NIH. Time to train. openaccess.thecvf.com/content_cvpr_2…

TensorFlow Agents available now! github.com/tensorflow/age… #deeprl #tensorflow #rl #ppo

A list of common mistakes made by newcomers to neural networks - additional suggestions welcome! theorangeduck.com/page/neural-ne…

ECIR 2018 Call for Papers - ecir2018.org/call-for-paper… Spread the news! #ECIR2018

WWW2018 "Web Search and Mining" track CFP now online. Abstracts due 10/26. Papers due 10/31. 🕸️🎃

Slides from my lecture today at CIFAR RL summer school: bit.ly/2szFUnr