Anthill Inside 2018
On the current state of academic research, practice and development regarding Deep Learning and Artificial Intelligence.
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
On the current state of academic research, practice and development regarding Deep Learning and Artificial Intelligence.
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
##About the conference and topics for submitting talks:
In 2016, The Fifth Elephant branched into a separate conference on Deep Learning. The Deep Learning Conference has grown in to a large community under the brand Anthill Inside.
Anthill Inside features talks, panels and Off The Record (OTR) sessions on current research, technologies and developments around Artificial Intelligence (AI) and Deep Learning. Submit proposals for talks and workshops on the following topics:
##Perks for submitting proposals:
Submitting a proposal, especially with our process, is hard work. We appreciate your effort.
We offer one conference ticket at discounted price to each proposer, and a t-shirt.
We only accept one speaker per talk. This is non-negotiable. Workshops may have more than one instructor.
In case of proposals where more than one person has been mentioned as collaborator, we offer the discounted ticket and t-shirt only to the person with who the editorial team corresponded directly during the evaluation process.
##Target audience:
We invite beginner and advanced participants from:
to participate in Anthill Inside. At the 2018 edition, tracks will be curated separately for beginner and advanced audiences.
Developer evangelists from organizations which want developers to use their APIs and technologies for deep learning and AI should participate, speak and/or sponsor Anthill Inside.
##Format:
Anthill Inside is a two-day conference with two tracks on each day. Track details will be announced with a draft schedule in February 2018.
We are accepting sessions with the following formats:
##Selection criteria:
The first filter for a proposal is whether the technology or solution you are referring to is open source or not. The following criteria apply for closed source talks:
The criteria for selecting proposals, in the order of importance, are:
No one submits the perfect proposal in the first instance. We therefore encourage you to:
Our editorial team helps potential speakers in honing their speaking skills, fine tuning and rehearsing content at least twice - before the main conference - and sharpening the focus of talks.
##How to submit a proposal (and increase your chances of getting selected):
The following guidelines will help you in submitting a proposal:
To summarize, we do not accept talks that gloss over details or try to deliver high-level knowledge without covering depth. Talks have to be backed with real insights and experiences for the content to be useful to participants.
##Passes and honorarium for speakers:
We pay an honararium of Rs. 3,000 to each speaker and workshop instructor at the end of their talk/workshop. Confirmed speakers and instructors also get a pass to the conference and networking dinner. We do not provide free passes for speakers’ colleagues and spouses.
##Travel grants for outstation speakers:
Travel grants are available for international and domestic speakers. We evaluate each case on its merits, giving preference to women, people of non-binary gender, and Africans. If you require a grant, request it when you submit your proposal in the field where you add your location. Anthill Inside is funded through ticket purchases and sponsorships; travel grant budgets vary.
##Last date for submitting proposals is: 15 April 2018.
You must submit the following details along with your proposal, or within 10 days of submission:
##Contact details:
For information about the conference, sponsorships and tickets contact support@hasgeek.com or call 7676332020. For queries on talk submissions, write to anthillinside.editorial@hasgeek.com
Hosted by
Gaurav Goswami
@gauravgoswami
Submitted Apr 12, 2018
Deep learning algorithms are highly popular and being applied to solve various problems with high accuracies. However, they are not infallible and are, in fact, highly susecptible to adversarial attacks. These attacks can manifest in the form of synthetically generated data or perturbed data which mean one thing to a human observer and something completely different to the deep network. Thereby, such attacks make the predictions provided by deep networks less robust and unreliable for practical deployment. In this talk, I will provide an introduction to deep learning, adversarial perturbations, types of adversarial attacks, and defenses against such attacks.
Key takeaways:
Draft slides are included in the slides link. Mathematical and algorithmic detail will be removed for the talk to fit the material into a crisp format.
Gaurav Goswami is a researcher primarily working in the areas of artificial intelligence, machine learning, computer vision, and face recognition. He is the author of more than 20 articles in reputed international peer-reviewed journals, conferences, and book chapters and has filed 3 US patents for his contributions in AI methodologies. He is the recipient of the 2015-16 IBM Ph.D. fellowship award, 3rd at the IDRBT Doctoral Colloquium 2014, best Doctoral Consortium award at IJCB 2014, and the best poster presentation award at the BTAS conference in 2013. He joined IBM in 2017 as an Artificial Intelligence/Machine Learning expert and has been working on real-life problems in AI with both established companies and startups. As part of his role at IBM, he has also delivered various sessions on topics in AI and ML in various conferences, meetups, and events.
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
Hosted by
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