2270 results for "earn" across all locations
San Francisco Attractions That Provide Kids With Interactive Experiences
Washington, DC: Exploring Hidden Gems on Capitol Hill
The Uber Driver app
Nobody knows the ins and outs of using the Uber Driver app better than you. So when we set out to build a better app experience, we asked for you help
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients
J. Lehman, J. Chen, J. Clune, K. Stanley
While neuroevolution (evolving neural networks) has a successful track record across a variety of domains from reinforcement learning to artificial life, it is rarely applied to large, deep neural networks. A central reason is that while random mutation generally works in low dimensions, a random perturbation of thousands or millions of weights is likely to break existing functionality, providing no learning signal even if some individual weight changes were beneficial. […] [PDF]
The Genetic and Evolutionary Computation Conference (GECCO), 2018
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks
P. Molino, H. Zheng, Y.-C. Wang
For a company looking to provide delightful user experiences, it is of paramount importance to take care of any customer issues. This paper proposes COTA, a system to improve speed and reliability of customer support for end users through automated ticket classification and answers selection for support representatives. […] [PDF]
ACM SIGKDD International Conference on Knowledge Discovery and Data Science (KDD), 2018
TorontoCity: Seeing the World With a Million Eyes
S. Wang; M. Bai; G. Mattyus; H. Chu; W. Luo; B. Yang; J. Liang; J. Cheverie; R. Urtasun; D. Lin.
Despite the substantial progress in recent years, the image captioning techniques are still far from being perfect. Sentences produced by existing methods, e.g. those based on RNNs, are often overly rigid and lacking in variability. […] [PDF]
International Conference on Computer Vision (ICCV), 2017
5 inspiring audiobooks to help you grow and succeed
A good audiobook can turn your downtime between trips into an empowering motivational session. Here are 5 to get you started.
5 Audiobooks Everyone Should Listen To
Go-Explore: a New Approach for Hard-Exploration Problems
A. Ecoffet, J. Huizinga, J. Lehman, K. Stanley, J. Clune
A grand challenge in reinforcement learning is intelligent exploration, especially when rewards are sparse or deceptive. Two Atari games serve as benchmarks for such hard-exploration domains: Montezuma’s Revenge and Pitfall. On both games, current RL algorithms perform poorly, even those with intrinsic motivation, which is the dominant method to improve performance on hard-exploration domains. […] [PDF]
2019
