Week Ending 12.09.18
RESEARCH WATCH: 12.09.18
Over the past week, 237 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was "ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst" by Mayank Bansal et al (Dec 2018), which was referenced 45 times, including in the article Elon Musk promises Autopilot update to allow for “no driver input at all” in ArsTechnica.
Leading researcher Oriol Vinyals (DeepMind) published "Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning".
Over the past week, 92 new papers were published in "Computer Science - Artificial Intelligence".
The paper discussed most in the news over the past week was "Thats Mine! Learning Ownership Relations and Norms for Robots" by Zong Xuan Tan et al (Dec 2018), which was referenced 5 times, including in the article Yale teaches robots not to mess with people’s stuff in The Next Web.
Leading researcher Sergey Levine (University of California, Berkeley) came out with "Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 260 new papers.
The paper discussed most in the news over the past week was "ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst" by Mayank Bansal et al (Dec 2018), which was referenced 46 times, including in the article Elon Musk promises Autopilot update to allow for “no driver input at all” in ArsTechnica.
Leading researcher Oriol Vinyals (DeepMind) came out with "Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning".
Over the past week, 29 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was by a team at IBM researcher: "AI Fairness for People with Disabilities Point of View" by Shari Trewin (Nov 2018), which was referenced 3 times, including in the article Creating a Better Workplace and World for People with Disabilities in WebWire. The paper author, Shari Trewin(IBM researcher), was quoted saying "AI Fairness for People with Disabilities: Point of View."
This week was active for "Computer Science - Learning", with 230 new papers.
The paper discussed most in the news over the past week was "Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware" by Peter Blouw et al (Dec 2018), which was referenced 19 times, including in the article Dec 6, 2018, 7:47 am EST Applied Brain Research Inc. shows Nengo Spiking, Real-Time, AI Deep-Learning Networks on Intel Loihi Use 38x Less Energy than on NVIDIA Quadro K4000 GPU in The Business Journals. The paper author, Peter Suma, was quoted saying "In this study, ABR has delivered strong empirical evidence that the long-sought-after efficiencies of computing with spiking neurons now can be realized in commercially valuable applications using Nengo DL on Loihi".
Leading researcher Yoshua Bengio (Université de Montréal) published "The effects of negative adaptation in Model-Agnostic Meta-Learning".
Over the past week, 34 new papers were published in "Computer Science - Robotics".
The paper discussed most in the news over the past week was "ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst" by Mayank Bansal et al (Dec 2018), which was referenced 46 times, including in the article Elon Musk promises Autopilot update to allow for “no driver input at all” in ArsTechnica.
Leading researcher Sergey Levine (University of California, Berkeley) came out with "Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control".