04 11 2014
IMAGENET Large Scale Visual Recognition Challenge 2014 (ILSVRC2014) (Starts in April/May)
Introduction
This challenge evaluates algorithms for object detection and image classification at large scale. This year there will be two competitions:
A PASCAL style detection challenge on fully labeled data for 200 categories of objects, and
An image classification plus object localization challenge with 1000 categories.
NEW: This year all participants are encouraged to submit object localization results; in past challenges, submissions to classification and classification with localization tasks were accepted separately.
One high level motivation is to allow researchers to compare progress in detection across a wider variety of objects taking advantage of the quite expensive labeling effort. Another motivation is to measure the progress of computer vision for large scale image indexing for retrieval and annotation.
History
ILSVRC 2013
ILSVRC 2012
ILSVRC 2011
ILSVRC 2010
image net.org
25 10 2014
LinkedIn Economic Graph Challenge, Deadline: 15 December 2014, $25,000 research award
Eligibility
The LinkedIn Economic Graph Challenge is open to all U.S. residents (including citizens, permanent residents and visa holders) ages 18 and up. Team entries are allowed, but entries on behalf of a company are not allowed. Teams may have up to five individuals. Only one proposal (either team or individual) per person. Sorry, current LinkedIn employees, contractors, affiliates or interns are not eligible to enter.
Selection
Proposals are due by midnight Pacific Time on December 15, 2014. Each entry must be an idea or process designed to create positive economic opportunity and impact for members of the global workforce, so dream big. Proposals will be evaluated on a combination of three factors, all equally weighted:
Novelty: Takes into account the thoughtfulness and originality of the entry, including its unique approach to taking advantage of data from the Economic Graph.
Impact: Considers the potential benefits to the region, country and the world, as well as the extensibility of the proposal.
Feasibility: This criterion will weigh the practicality of the submission, measuring the likelihood it can be researched and implemented within a reasonable time period and the types of data from LinkedIn that will be necessary for the proposed research.
A diverse panel of judges will evaluate and select winning proposals.
Research Award Recipients
LinkedIn will select up to three proposals as winners of the LinkedIn Economic Graph Challenge. Selected winners will be notified in early 2015. Each winning submission will receive:
A one time $25,000 (USD) research award.
Round trip travel and accommodations to LinkedIn headquarters in Mountain View, CA to participate in the LinkedIn Economic Challenge Research Reception (early 2015) and Final Presentation (Fall 2015).
The potential to receive research resources to execute proposal including a LinkedIn employee collaborator, access to select data from LinkedIn, and equipment for use during the six month research period.
Research award recipients will have six months to conduct their research, and will return to Mountain View, CA, for a final presentation in Fall 2015. Research award recipients must sign agreements covering intellectual property and non disclosure of information, and may not publish results without written consent from LinkedIn Corporation.
economicgraphchallenge.linkedin.com
Links before 24 oct 2014
ChaLearn
Mission:
Machine Learning is the science of building hardware or software that can achieve tasks by learning from examples. The examples often come as {input, output} pairs. Given new inputs a trained machine can make predictions of the unknown output.
Examples of machine learning tasks include:
• automatic reading of handwriting
• assisted medical diagnosis
• automatic text classification (classification of web pages; spam filtering)
• financial predictions
We organize challenges to stimulate research in this field. The web sites of past challenges remain open for post challenge submission as ever going benchmarks.
ChaLearn is a tax exempt organization under section 501(c)(3) of the US IRS code. DLN: 17053090370022.
www.chalearn.org
Kaggle
Kaggle is the world's largest community of data scientists. They compete with each other to solve complex data science problems, and the top competitors are invited to work on the most interesting and sensitive business problems from some of the world’s biggest companies through Masters competitions.
www.kaggle.com
Kaggle Competition Past Solutions
We learn more from code, and from great code. Not necessarily always the 1st ranking solution, because we also learn what makes a stellar and just a good solution. I will post solutions I came upon so we can all learn to become better!
I collected the following source code and interesting discussions from the Kaggle held competitions for learning purposes. Not all competitions are listed because I am only manually collecting them, also some competitions are not listed due to no one sharing. I will add more as time goes by. Thank you.
www.chioka.in
Solution to the Galaxy Zoo Challenge
benanne.github.io
github.com
Winning 2 Kaggle in class competitions on spam
mlwave.com
Matlab Benchmark for Packing Santa’s Sleigh translated in Python
beatingthebenchmark.blogspot.co.uk
TEDx San Francisco, Jeremy Howard talk (Connecting Devices with Algorithms)
tedxsf.org
CrowdANALYTICS
crowdanalytix.com
Challenges for governmental applications
challenge.gov
InnoCentive Challenge Center
www.innocentive.com
TunedIT
tunedit.org
Ants, AI Challenge, sponsored by Google, 2011
The AI Challenge is all about creating artificial intelligence, whether you are a beginning programmer or an expert. Using one of the easy to use starter kits, you will create a computer program (in any language) that controls a colony of ants which fight against other colonies for domination.
ants.aichallenge.org
International Collegial Programming Contest
The ACM International Collegiate Programming Contest (ICPC) is the premiere global programming competition conducted by and for the world’s universities. The competition operates under the auspices of ACM, is sponsored by IBM, and is headquartered at Baylor University. For nearly four decades, the ICPC has grown to be a game changing global competitive educational program that has raised aspirations and performance of generations of the world’s problem solvers in the computing sciences and engineering.
icpc.baylor.edu
Dream challenges
The Dialogue on Reverse Engineering Assessment and Methods (DREAM) project is an initiative to advance the field of systems biology through the organization of Challenges to foster the development of predictive models that allow scientists to better understand human disease. Challenges engage broad and diverse communities of scientists to competitively solve a specific problem in a given time period. The concept fosters collaboration between scientists through shared data and approaches.
DREAM has developed by “Challenge” concept by launching 27 successful challenges over the past seven years. Sage Bionetworks and DREAM merged in early 2013 in order to develop Challenges engage a broader participation of the research community in open science projects hosted on Synapse, and that provide a meaningful impact to both discovery and clinical research. By presenting the research community with well formulated questions that usually involve complex data, we effectively enable the sharing and improvement of predictive models, accelerating many fold the transformation of this data into useful scientific knowledge. Our ultimate goal is to foster collaborations of like minded researchers that together will find the solution for vexing problems that matter most to citizens and patients.
www.synapse.org
Texata
Welcome to the Official 2014 TEXATA Big Data Analytics World Championships. This global event is a fun, innovative and challenging competition for students and professionals to develop and test their Big Data Analytics skills against their friends, colleagues and top data experts from around the world.
TEXATA 2014 is a World Championship Event independently organized and administered by the Professional Services Champions League (PSCL).
www.texata.com
Predictive Modeling Competitions, French
RATP OpenDataLab results
data.ratp.fr
Predictive Modeling Competitions, Russian
Russian AI Cup, Competition Programming Artificial Intelligence, 2013
Open competition Programming Artificial Intelligence. Try your hand at programming strategy game! It's simple, clear and fun!
Championship second Russian AI Cup called CodeTroopers. You have to program the AI to the detachment of soldiers. Your strategy will battle each other in the Sandbox and the championship. You can use any of the programming languages: C + +, Java, C #, Python or Pascal. Sandbox is already open. Good luck!
To participate in the competition are invited as novice programmers, students and students and professionals alike. Does not require any special knowledge, fairly basic programming skills.
russianaicup.ru
More to be added ...
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