BEGIN:VCALENDAR VERSION:2.0 PRODID:-//HasGeek//NONSGML Funnel//EN DESCRIPTION:On the current state of academic research\, practice and devel opment regarding Deep Learning and Artificial Intelligence. X-WR-CALDESC:On the current state of academic research\, practice and deve lopment regarding Deep Learning and Artificial Intelligence. NAME:Anthill Inside 2018 X-WR-CALNAME:Anthill Inside 2018 REFRESH-INTERVAL;VALUE=DURATION:PT12H SUMMARY:Anthill Inside 2018 TIMEZONE-ID:Asia/Kolkata X-PUBLISHED-TTL:PT12H X-WR-TIMEZONE:Asia/Kolkata BEGIN:VEVENT SUMMARY:Check-in and breakfast DTSTART:20180725T031500Z DTEND:20180725T035000Z DTSTAMP:20260421T144721Z UID:session/N5SemywgZuS3qJaZPoGZUg@hasgeek.com SEQUENCE:0 CREATED:20180409T052455Z DESCRIPTION:\n LAST-MODIFIED:20180409T052521Z LOCATION:Bangalore ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Check-in and breakfast in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Introduction to Anthill Inside and how to navigate schedule DTSTART:20180725T035000Z DTEND:20180725T040000Z DTSTAMP:20260421T144721Z UID:session/K637exKEnYjicDLXKGTFJd@hasgeek.com SEQUENCE:0 CREATED:20180409T052516Z DESCRIPTION:\n LAST-MODIFIED:20180409T052524Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Introduction to Anthill Inside and how to navigate schedule in Auditorium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:The sentimental computer: art and science of making computers unde rstand sentiment and emotion DTSTART:20180725T040000Z DTEND:20180725T044000Z DTSTAMP:20260421T144721Z UID:session/JTL37NqhYRq7gXu1EZDLUv@hasgeek.com SEQUENCE:2 CATEGORIES:Full talk,Advanced CREATED:20180717T052906Z DESCRIPTION:In the current presentation\, we will survey the state of the art and future directions in analysis and generation of sentiment and emo tion by computers. Some of the problems of utmost complexity like sarcasm\ , thwarting\, cross lingual sentiment will also be looked into.\n\n### Spe aker bio\n\nProf. Pushpak Bhattacharyya is the recent past President of AC L- the highest body guiding NLP and ML work (2016-17). He is the Director of IIT Patna and ex Vijay and Sita Vashi Chair Professor in IIT Bombay\, C omputer Science and Engineering Department. He was educated in IIT Kharagp ur (B.Tech)\, IIT Kanpur (M.Tech) and IIT Bombay (PhD). He has been visiti ng scholar and faculty in MIT\, Stanford\, UT Houston and University Josep h Fouriere (France). Prof. Bhattacharyya’s research areas are Natural La nguage Processing\, Machine Learning and AI. He has guided more than 250 s tudents (PhD\, masters and Bachelors)\, has published more than 300 resear ch papers and led government and industry projects of international and na tional importance. A significant contribution of his is Multilingual Lexic al Knowledge Bases and Projection. Author of the text book ‘Machine Tran slation’ Prof. Bhattacharyya is loved by his students for his inspiring teaching and mentorship. He is a Fellow of National Academy of Engineering \, Eminent Engineer awardee of Institute of Engineers India\, recipient o f Patwardhan Award of IIT Bombay and VNMM award of IIT Roorkey- both for t echnology development\, and faculty grants of IBM\, Microsoft\, Yahoo and United Nations.\n\nA recent web analysis places Prof. Bhattacharyya in the list of most prolific researchers on NLP and ML\nhttp://www.marekrei.com/ blog/ml-nlp-publications-in-2017/\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/the-sentimental-comput er-art-and-science-of-making-computers-understand-sentiment-and-emotion-JT L37NqhYRq7gXu1EZDLUv BEGIN:VALARM ACTION:display DESCRIPTION:The sentimental computer: art and science of making computers understand sentiment and emotion in Auditorium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Advice on Applying Machine Learning: War Stories et al. DTSTART:20180725T041000Z DTEND:20180725T043000Z DTSTAMP:20260421T144721Z UID:session/Kcf4hBPAKxF6swcAWGGqwo@hasgeek.com SEQUENCE:1 CREATED:20180723T104926Z DESCRIPTION:We will discuss some of the common anti-patterns in applying m achine learning to solve real-world problems: from mindset problems\, to s olutioning gotchas and project management challenges.\n LAST-MODIFIED:20230108T103046Z LOCATION:Auditorium 2 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Advice on Applying Machine Learning: War Stories et al. in Aud itorium 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Building and driving adoption for a robust semantic search system DTSTART:20180725T044000Z DTEND:20180725T052500Z DTSTAMP:20260421T144721Z UID:session/LbTimzAVMgZZMmWMhSf4cs@hasgeek.com SEQUENCE:2 CATEGORIES:Crisp Talk,Intermediate CREATED:20180717T053049Z DESCRIPTION:The CUI imperative\nWhat is Zelda?\nBottom-up analysis=insight s\nPrevious work\nWhat does business want?\nKey idea\nResults\nLearnings\n Open problems\nQnA: we’ll take questions towards the end\n\n### Speaker bio\n\nHrishi did his Master’s from Indian Institute of Science (IISc)\, Bangalore where he worked on Computer Vision for studying atomization in Cryogenic Rocket Engines. Post that he did a full-time MBA from IIM-Kozhik ode. He has been working in the ML/Analytics space for over 10 years and h as had long stints at Amazon Core ML and at Mu Sigma before joining Intuit 's IAT team. At Intuit\, he's working on NLP with a focus on creating algo rithms that are robust to noise in user input.\nAside of work he spends ti me playing with his 3-year-old daughter and in solving puzzles.\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 2 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/building-and-driving-a doption-for-a-robust-semantic-search-system-LbTimzAVMgZZMmWMhSf4cs BEGIN:VALARM ACTION:display DESCRIPTION:Building and driving adoption for a robust semantic search sys tem in Auditorium 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Birds Of Feather (BOF) session: Hubs and spokes of AI DTSTART:20180725T044000Z DTEND:20180725T054000Z DTSTAMP:20260421T144721Z UID:session/3iZrcUWo5BbW7BGHZSxPsB@hasgeek.com SEQUENCE:2 CATEGORIES:Off The Record session,Intermediate CREATED:20180717T060330Z DESCRIPTION:In this session\, we will discuss the ‘not-so-glamourous’ aspects of AI engineering. \n\nParticipants share the challenges they face d in following things and how they tackled each of them.\n\n* Acquiring da ta for training and cleaning it\n* Retrain the model such that it works wi th the old and new conditions\n* Training with very little data\n* Once de ployed in real world\n* Amount of human intervention\n\nThis session will be of one hour duration with facilitators from the industry leading the se ssion.\n\n### Speaker bio\n\nAnuj Gupta heads machine learning at Huawei t echnologies. \nSubir Mansukhani is the co-founder and chief data scientist at Intuition.AI\n LAST-MODIFIED:20230810T072606Z LOCATION:BOF area - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/birds-of-feather-bof-s ession-hubs-and-spokes-of-ai-3iZrcUWo5BbW7BGHZSxPsB BEGIN:VALARM ACTION:display DESCRIPTION:Birds Of Feather (BOF) session: Hubs and spokes of AI in BOF area in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Uncertainty in deep learning DTSTART:20180725T044000Z DTEND:20180725T052000Z DTSTAMP:20260421T144721Z UID:session/F99woLVJYhtSces4yRuBFr@hasgeek.com SEQUENCE:2 CATEGORIES:Full talk,Intermediate CREATED:20180717T055424Z DESCRIPTION:Problem: Deep Neural Networks are powerful function approximat ors. However\, it is well known that they are prone to overfitting and can be overconfident about their decisions.\n- examples of overfitting\n\nSol ution: Bayesian approach: Discuss recent research that provides model unce rtainty estimates of deep neural networks.\n- bayesian neural nets\n- weig ht uncertainty\n- variational approximation\n\nApplications of uncertainty estimates: Discuss the practical utility of the uncertainty estimates\n- active learning\n- exploration vs. exploitation\n\n### Speaker bio\n\nMadh u Gopinathan is currently Vice President\, Data Science at MakeMyTrip\, In dia's leading online travel company. He has extensive experience in develo ping large scale systems using machine learning and natural language proce ssing in both the Bay Area\, USA and India. He has been granted multiple U S patents\, holds a PhD in the mathematical modeling of systems from the I ndian Institute of Science\, Bangalore and an MS in computer science from the University of Florida\, Gainesville\, USA.\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/uncertainty-in-deep-le arning-F99woLVJYhtSces4yRuBFr BEGIN:VALARM ACTION:display DESCRIPTION:Uncertainty in deep learning in Auditorium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Morning beverage break DTSTART:20180725T052000Z DTEND:20180725T055000Z DTSTAMP:20260421T144721Z UID:session/HwaxJBvXsAs7qJXPzwZah9@hasgeek.com SEQUENCE:0 CREATED:20180717T053057Z DESCRIPTION:\n LAST-MODIFIED:20180717T053108Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Morning beverage break in Auditorium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Morning beverage break DTSTART:20180725T052500Z DTEND:20180725T055000Z DTSTAMP:20260421T144721Z UID:session/2EcciEyh8BtEjkHLVKKcsT@hasgeek.com SEQUENCE:0 CREATED:20180717T054447Z DESCRIPTION:\n LAST-MODIFIED:20180721T101110Z LOCATION:Auditorium 2 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Morning beverage break in Auditorium 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Birds Of Feather (BOF) session: AI - ethics and privacy DTSTART:20180725T055000Z DTEND:20180725T065000Z DTSTAMP:20260421T144721Z UID:session/DifrT6e7Q6PstD8nUR4uUD@hasgeek.com SEQUENCE:2 CATEGORIES:Intermediate CREATED:20180717T060408Z DESCRIPTION:In the aftermath of Cambridge Analytica issue\, now public is more conscious about privacy and companies are forced to follow some stand ards. It also opened a pandora box of issues that has been brewing for a w hile like bias in algorithms. \n\nResearch in fairness\, transparency and accountability of machine learning has to catch up with innovations taking in AI space. Add to this\, lack of awareness in the industry. In this BOF session\, we will talk about the state of AI Ethics and Privacy\, how to regulate it and how it is going to affect innovations in future.\n\n### S peaker bio\n\nSuchana Seth works on AI Ethics and Responsible ML. She is c urrently fellow at Harvard university. \nJyoti Panday is researcher and po licy analyst who works on politics and ethics of Internet governance and t he management of digital platforms.\nChris Stucchio is a former physicist\ , high frequency trader and software developer. He’s currently the head of data science at Simpl.\nSumod K Mohan is founder at AutoInfer and CV/ML Architect at Soliton Technologies\n LAST-MODIFIED:20230810T072606Z LOCATION:BOF area - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/birds-of-feather-bof-s ession-ai-ethics-and-privacy-DifrT6e7Q6PstD8nUR4uUD BEGIN:VALARM ACTION:display DESCRIPTION:Birds Of Feather (BOF) session: AI - ethics and privacy in BOF area in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Building knowledgeable machines DTSTART:20180725T055000Z DTEND:20180725T063500Z DTSTAMP:20260421T144721Z UID:session/Hx5DcMJS3oYxNNZRXe6P2v@hasgeek.com SEQUENCE:2 CATEGORIES:Full talk,Advanced CREATED:20180717T053349Z DESCRIPTION:In this talk\, I shall present an overview of my group's resea rch in this exciting and emerging area.\n\n### Speaker bio\n\nPartha Taluk dar is an Assistant Professor in the Department of Computational and Data Sciences (CDS) at the Indian Institute of Science (IISc)\, Bangalore. He i s also the founder of Kenome\, an AI startup helping enterprises make sens e of dark data using cutting edge machine learning\, NLP and deep learning . Previously\, he was a Postdoctoral Fellow in the Machine Learning Depart ment at Carnegie Mellon University\, working with Tom Mitchell on the NELL project. Partha received his PhD (2010) in CIS from the University of Pen nsylvania\, working under the supervision of Fernando Pereira\, Zack Ives\ , and Mark Liberman. Partha is broadly interested in Machine Learning\, Na tural Language Processing\, and Cognitive Neuroscience\, with particular i nterest in large-scale learning and inference. Partha is a recipient of IB M Faculty Award\, Google’s Focused Research Award\, and Accenture Open I nnovation Award. He is a co-author of a book on Graph-based Semi-Supervise d Learning published by Morgan Claypool Publishers. Homepage: http://taluk dar.net\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/building-knowledgeable -machines-Hx5DcMJS3oYxNNZRXe6P2v BEGIN:VALARM ACTION:display DESCRIPTION:Building knowledgeable machines in Auditorium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Going beyond what and asking why: explainability in Machine/Deep L earning DTSTART:20180725T063500Z DTEND:20180725T071500Z DTSTAMP:20260421T144721Z UID:session/RYwAHRemqPL2kszk9dL5nc@hasgeek.com SEQUENCE:2 CATEGORIES:Full talk,Intermediate CREATED:20180717T054758Z DESCRIPTION:- Motivation: Need for explainability in machine learning\n- W here do machine learning algorithms stand today in their explainability? A Review\n- Overview of efforts towards explainability in machine learning (focus on deep learning)\n- Our work on Grad-CAM++: Towards generalized vi sual explanations in CNNs\n- Our work on using causality for explanations in RNNs for time series analysis\n\n### Speaker bio\n\nVineeth N Balasubra manian is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology\, Hyderabad. His resear ch interests include deep learning\, machine learning\, computer vision\, non-convex optimization and real-world applications in these areas. He has around 60 research publications in premier peer-reviewed venues including CVPR\, ICCV\, KDD\, ICDM\, IEEE TPAMI and ACM MM\, 5 patents under review \, and an edited book on a recent development in machine learning called C onformal Prediction. His PhD dissertation at Arizona State University (com pleted in 2010) on the Conformal Predictions framework was nominated for t he Outstanding PhD Dissertation at the Department of Computer Science. He was also awarded the Gold Medals for Academic Excellence in the Bachelors program in Math in 1999\, and for his Masters program in Computer Science in 2003. He is an active reviewer/contributor at many conferences such as ICCV\, IJCAI\, ACM MM and ACCV\, as well as journals including IEEE TNNLS\ , Machine Learning and Pattern Recognition. He is a member of the IEEE\, A CM and currently serves as the Secretary of the AAAI India Chapter.\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 2 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/going-beyond-what-and- asking-why-explainability-in-machine-deep-learning-RYwAHRemqPL2kszk9dL5nc BEGIN:VALARM ACTION:display DESCRIPTION:Going beyond what and asking why: explainability in Machine/De ep Learning in Auditorium 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Learning Real-time Object Detection In The Absence of Large-scale Datasets DTSTART:20180725T063500Z DTEND:20180725T071500Z DTSTAMP:20260421T144721Z UID:session/AXhCQwk2jDoZYJ8FbAryk1@hasgeek.com SEQUENCE:2 CATEGORIES:Full talk,Intermediate CREATED:20180717T055533Z DESCRIPTION:1. Challenges in doing object detection beyond open source dat asets \n2. An end-to-end solution with an open design \n3. A detailed case study and related experiences of applying and comparing different object detection techniques in practice\n\n### Speaker bio\n\nVijay Gabale is CTO and co-founder of Infilect Technologies. Infilect offers several products in the domain of entertainment\, media\, and retail by leveraging visual data and providing visual intelligence. Vijay is a PhD from IIT Bombay\, a nd ex-research-scientist IBM Research.\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/learning-real-time-obj ect-detection-in-the-absence-of-large-scale-datasets-AXhCQwk2jDoZYJ8FbAryk 1 BEGIN:VALARM ACTION:display DESCRIPTION:Learning Real-time Object Detection In The Absence of Large-sc ale Datasets in Auditorium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Lunch break DTSTART:20180725T071500Z DTEND:20180725T081000Z DTSTAMP:20260421T144721Z UID:session/9aCX9wA2o21yAWrjKRq9Wv@hasgeek.com SEQUENCE:0 CREATED:20180717T054701Z DESCRIPTION:\n LAST-MODIFIED:20180723T105627Z LOCATION:Auditorium 2 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Lunch break in Auditorium 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Lunch break DTSTART:20180725T071500Z DTEND:20180725T081000Z DTSTAMP:20260421T144721Z UID:session/SXXsCwAVd1fHs4YETMbuHk@hasgeek.com SEQUENCE:0 CREATED:20180717T053950Z DESCRIPTION:\n LAST-MODIFIED:20180719T101021Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Lunch break in Auditorium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Deep learning in the browser: explorable explanations\, model infe rence and rapid prototyping DTSTART:20180725T081000Z DTEND:20180725T085000Z DTSTAMP:20260421T144721Z UID:session/G3BMzvyNjL3Zwvpxvjv12L@hasgeek.com SEQUENCE:2 CATEGORIES:Intermediate CREATED:20180717T054601Z DESCRIPTION:The browser is the most common end-point consumption of Deep l earning models. It is also the most ubiquitous platform for programming av ailable. The maturity of the client-side JavaScript ecosystem across the d eep learning process e.g. dataframe support (arrow.js)\, WebGl accelerated learning frameworks (deeplearn.js)\, declarative interactive visualisatio n (vega-lite.js)\, have made it easy to start playing with Deep Learning i n the browser.\n\nThis talk is designed in the "Show\, not Tell" format. W e will focus on showcasing three particular use case (live-demos) where de ep learning models can be used for explanations\, inference and training o n the browser directly. The demos will also show the application from thre e different types of data - tabular\, text and image.\n\n1. **Explorable E xplanations**: Explaining the DL model and allowing the users to build int uition on the model helps in generating insight. We showcase an *explorabl e explanation for loan default DL model*\, which allows the user to explor e the feature space and threshold boundaries using interactive visualisati ons to drive decision making.\n\n2. **Model Inference**: Inference is the most common use case and the browser allows you to 'bring your DL model to the data'. It also allows you test how the model works\, when executed on the edge. We showcase an *comments sentiment* application in the browser \, which can identify and warn about the toxicity of the comments as you t ype in a text box.\n\n3. **Rapid Prototyping**: Training of DL models is n ow possible in the browser itself\, if done smartly. We showcase a *rapid prototyping image classification* example which allows the user to play wi th transfer learning to build a model specific for a user-generated image input. \n\nWe will end the talk on how we see the ecosystems of tools for DL in the browser emerging and making it easy for everyone to start doing this.\n\nFor those more curious about how all these demos will actually h appen\, we will be leveraging the following newer libraries (and some trad itional ones like d3.js) in javascript.\n\n- [Tensorflow.js](https://js.te nsorflow.org/) for deep learning model training and inference.\n- [Ml.js]( https://github.com/mljs/) for traditional machine learning model training and inference.\n- [Vega and Vega-lite](https://vega.github.io/) for intera ctive dashboards.\n- [Arrow.js](https://github.com/apache/arrow/tree/maste r/js) for data loading\, and type inference \n\nThe working demos will be available on the web and open-source code on Github. An initial draft of t he slides is attached.\n\n### Speaker bio\n\nAmit Kapoor teaches the craft of telling visual stories with data. He conducts workshops and trainings on Data Science in Python\, R and Javascript\, as well as on Data Visualis ation topics. His background is in strategy consulting having worked with AT Kearney in India\, then with Booz & Company in Europe and more recently for startups in Bangalore. He did his B.Tech in Mechanical Engineering fr om IIT\, Delhi and PGDM (MBA) from IIM\, Ahmedabad. You can find more abou t him at http://amitkaps.com/ and tweet him at @amitkaps.\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 2 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/deep-learning-in-the-b rowser-explorable-explanations-model-inference-rapid-prototyping-G3BMzvyNj L3Zwvpxvjv12L BEGIN:VALARM ACTION:display DESCRIPTION:Deep learning in the browser: explorable explanations\, model inference and rapid prototyping in Auditorium 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Sarcasm detection: Achilles heel of sentiment analysis DTSTART:20180725T081000Z DTEND:20180725T085000Z DTSTAMP:20260421T144721Z UID:session/55C7G9bkd5XLBB3ABnF1yv@hasgeek.com SEQUENCE:2 CATEGORIES:Full talk,Intermediate CREATED:20180717T052758Z DESCRIPTION:Key take aways:\n + Challenges in sarcasm detection \n + Deep dive into a end to end solution using DL to build generic models for sarcasm detection \n + Short comings and road forward\n\n### Spe aker bio\n\nAnuj is currently working as Director - Machine Learning at Hu awei. He has headed ML efforts at a bunch of organizations. Prior to that\ , he dropped out of Phd to work with startups\, completed his master's wit h a specialization in theoretical computer science.\n\nSpeaker at various forums like Anthill\, Nvidia forums\, PyData\, Fifth Elephant\, ICDCN\, PO DC.\nMore about him - https://www.linkedin.com/in/anuj-gupta-15585792/\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/sarcasm-detection-achi lles-heel-of-sentiment-analysis-55C7G9bkd5XLBB3ABnF1yv BEGIN:VALARM ACTION:display DESCRIPTION:Sarcasm detection: Achilles heel of sentiment analysis in Audi torium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Birds Of Feather (BOF) session: AI and Product DTSTART:20180725T081000Z DTEND:20180725T091000Z DTSTAMP:20260421T144721Z UID:session/9w99d23r3YKXNvCXopSk7M@hasgeek.com SEQUENCE:2 CATEGORIES:Intermediate CREATED:20180717T060232Z DESCRIPTION:We will discuss some of the following topics related to buildi ng AI Products:\n\n1. Challenges getting the right talent on board for bui lding product\n2. Defining your business problem that is AI-Solvable today vs future\n3. Getting your starter dataset & Benefits for early users\n4. Product Timeline: AI Product vs Software Product\n5. Importance of domain knowledge in your team\n6. Challenges in scaling your AI business\n7. Get ting funded\n\n### Speaker bio\n\nVijay Gabale is CTO and co-founder of In filect Technologies. Infilect offers several products in the domain of ent ertainment\, media\, and retail by leveraging visual data and providing vi sual intelligence. Vijay is a PhD from IIT Bombay\, and ex-research-scient ist IBM Research.\n LAST-MODIFIED:20230810T072606Z LOCATION:BOF area - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/birds-of-feather-bof-s ession-ai-and-product-9w99d23r3YKXNvCXopSk7M BEGIN:VALARM ACTION:display DESCRIPTION:Birds Of Feather (BOF) session: AI and Product in BOF area in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:The evolution in AI thinking and products of the next decade DTSTART:20180725T085000Z DTEND:20180725T095000Z DTSTAMP:20260421T144721Z UID:session/8QDcc6Zw6s4Fz9HLH58Quk@hasgeek.com SEQUENCE:2 CATEGORIES:Full talk,Intermediate CREATED:20180724T094719Z DESCRIPTION:To be filled\n\n### Speaker bio\n\nTo be filled\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/the-evolution-in-ai-th inking-and-products-of-the-next-decade-8QDcc6Zw6s4Fz9HLH58Quk BEGIN:VALARM ACTION:display DESCRIPTION:The evolution in AI thinking and products of the next decade i n Auditorium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Neural-network field aware factorisation machines for online-behav iour prediction DTSTART:20180725T095000Z DTEND:20180725T103000Z DTSTAMP:20260421T144721Z UID:session/CPfNwBpFNnZiYis9mmMWFs@hasgeek.com SEQUENCE:2 CATEGORIES:Full talk,Advanced CREATED:20180717T055250Z DESCRIPTION:Why neural nets model\nFM\nFFM\nNFM\nDeepFM\nDeepFFM\nNFFM\n\n ### Speaker bio\n\nGunjan: Gunjan completed his Bachelor's degree from Ind ian Insititute of Technology\, Roorkee. He is currently working as Archite ct at InMobi where he looks over various recommendation systems\, Predicti on pipelines for the bidder\, along with the entire backend systems. Previ ous to this he has worked for Google Hyderabad and Facebook Menlo Park.\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 2 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/neural-network-field-a ware-factorisation-machines-for-online-behaviour-prediction-CPfNwBpFNnZiYi s9mmMWFs BEGIN:VALARM ACTION:display DESCRIPTION:Neural-network field aware factorisation machines for online-b ehaviour prediction in Auditorium 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Product Size Recommendation for Fashion E-commerce DTSTART:20180725T095000Z DTEND:20180725T101000Z DTSTAMP:20260421T144721Z UID:session/AX5YGXwgfM8kNmBFTs3Zh@hasgeek.com SEQUENCE:2 CATEGORIES:Crisp Talk,Intermediate CREATED:20180717T055151Z DESCRIPTION:I this talk\, I would like to give a brief overview of the siz e recommendation problem in the domain of fashion e-commerce\, discuss pos sible approaches and machine learning models to address this problem. \n\ nOutline: \nWhat is the size reecommendation problem\nWhat are the challen ges recommending size online\nPossible approaches / Size recommendation ML models\nExperimental results\nConclusions\n\nNote that the speaker is not currently with Amazon - though the talk is based on recent work by the sp eaker publilshed in WWW 2018 while at Amazon.\n\n### Speaker bio\n\nDr. La vanya Tekumalla is a Machine Learning Scientist/independant consultant. Sh e has worked in the industry for over 7 years in various roles at Amazon.c om (Seattle\, Bangalore)\, InMobi (Bangalore) and Myntra (Bangalore) that she thoroughly enjoyed. She has received a PhD from the Machine Learning L ab @ CSA\, IISc\, Bangalore and a masters in Computer Graphics from the Un iversity of Utah. Her research interests include Natural Language Understa nding\, Machine Learning - particularly Probabilistic Modeling and efficie nt techniques for approximate inference.\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/product-size-recommend ation-for-fashion-e-commerce-AX5YGXwgfM8kNmBFTs3Zh BEGIN:VALARM ACTION:display DESCRIPTION:Product Size Recommendation for Fashion E-commerce in Auditor ium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Evening beverage break DTSTART:20180725T101000Z DTEND:20180725T104000Z DTSTAMP:20260421T144721Z UID:session/MEZUGvSaCvzNy4z3dfYUZ@hasgeek.com SEQUENCE:0 CREATED:20180717T055207Z DESCRIPTION:\n LAST-MODIFIED:20180721T131451Z LOCATION:Auditorium 2 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Evening beverage break in Auditorium 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Evening beverage break DTSTART:20180725T103000Z DTEND:20180725T105000Z DTSTAMP:20260421T144721Z UID:session/EFtz2j2LGpNvqcK2a1tJVR@hasgeek.com SEQUENCE:0 CREATED:20180717T055550Z DESCRIPTION:\n LAST-MODIFIED:20180723T102330Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Evening beverage break in Auditorium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Looking beyond LSTM’s: alternatives to time series modelling usi ng neural nets DTSTART:20180725T104000Z DTEND:20180725T111000Z DTSTAMP:20260421T144721Z UID:session/d7nc3d6pPSpdP4yHycP11@hasgeek.com SEQUENCE:2 CATEGORIES:Crisp Talk,Intermediate CREATED:20180717T055643Z DESCRIPTION:Draft slides are included in the slides link. Mathematical and algorithmic details are removed for the talk to fit the material into a c risp format. Also attached is the link to our paper on related work.\n\n## # Speaker bio\n\nAditya Patel is the head of data science at Stasis and ha s 7+ years of experience spanning over the fields of Machine Learning and Signal Processing. He graduated with Dual Master's degree in Biomedical an d Electrical Engineering from University of Southern California. He has pr esented his work in Machine learning at multiple peer reviewed conferences concerning healthcare domain\, across the geography. He also contributed to first generation "Artificial Pancreas" project in Medtronic\, Los Angel es. In his current role he is leading the advent of smart hospitals in Ind ian healthcare.\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 1 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/looking-beyond-lstms-a lternatives-to-time-series-modelling-using-neural-nets-d7nc3d6pPSpdP4yHycP 11 BEGIN:VALARM ACTION:display DESCRIPTION:Looking beyond LSTM’s: alternatives to time series modelling using neural nets in Auditorium 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:What you cannot do with Machine Learning DTSTART:20180725T105000Z DTEND:20180725T111000Z DTSTAMP:20260421T144721Z UID:session/Vs94FpcidSh5siYpACCi8W@hasgeek.com SEQUENCE:2 CATEGORIES:Crisp Talk,Beginner CREATED:20180717T054915Z DESCRIPTION:To successfully solve a problem through machine learning\, 1. you need the _right_ kind of data for the given problem\, 2. you need suff icient amount of data corresponding to the complexity of the underlying pr oblem you are trying to solve. 3. the specific aspect of the problem you are trying to solve should be predictable 4. there should exist a "single" solution to the problem you are trying to solve. \n\nHere is the [link to draft slides](https://www.dropbox.com/s/0kl6nivbzejlzio/what-you-cannot-d o-with-ml.pdf?dl=0). In the actual presentation I hope to include more rea l world cases where people have tried to apply machine learning to problem s where machine learning isn't an appropriate solution and have failed.\n\ n### Speaker bio\n\nHarsh Gupta is an engineer at Nilenso\, India's first employee owned software cooperative. His background is in mathematics and computing and he has spent a fair amount of time thinking about aspects of fairness in machine learning as part of his master's thesis.\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 2 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/what-you-cannot-do-wit h-machine-learning-Vs94FpcidSh5siYpACCi8W BEGIN:VALARM ACTION:display DESCRIPTION:What you cannot do with Machine Learning in Auditorium 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Attention Mechanisms and Machine Reasoning DTSTART:20180725T111000Z DTEND:20180725T115500Z DTSTAMP:20260421T144721Z UID:session/FhwQewzwsNj1VtWjDMBnFX@hasgeek.com SEQUENCE:2 CATEGORIES:Full talk,Intermediate CREATED:20180719T105615Z DESCRIPTION:Attention Mechanisms have been popular for the past couple of years\, giving new insights in image and NLP applications using Recurrent Neural Networks. We would like to discuss advances in Attention Mecahnisms in this panel with specific emphasis on two new innovations\, Composition al Attention Networks (https://arxiv.org/abs/1803.03067) and Hierarchical Recurrent Attention Networks (https://arxiv.org/abs/1701.07149). Both the papers address a critical gap in Deep Neural Net architectures\, that of r easoning from first principles. We will discuss the applicability of Atten tion Mechanisms beyond the paper to address concept based reasoning.\n\n## # Speaker bio\n\nAshwin is a Data Scientist with interests in NLP\, AI and machine reasoning.\n LAST-MODIFIED:20230810T072606Z LOCATION:Auditorium 2 - NIMHANS Convention Centre\nBengaluru\nIN ORGANIZER;CN="Anthill Inside":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/anthillinside/2018/schedule/attention-mechanisms-a nd-machine-reasoning-FhwQewzwsNj1VtWjDMBnFX BEGIN:VALARM ACTION:display DESCRIPTION:Attention Mechanisms and Machine Reasoning in Auditorium 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT END:VCALENDAR