NIPS 2018

NIPS 2018 Expo Dec. 2, 2018

Talks Introduction begins at 9:00 am
Coffee Break: 10:20 am
Lunch Break: 12:05-1:35 pm
Coffee Break: 3:00 pm
Reception Start: 6:00 pm @ East Exhibition Hall A & Ballrooms B + C

Timezone: »

Start Time	Room 510 ABCD	Room 511 A	Room 511 B	Room 511 C	Room 511 E	Room 511 F	Room 517 C	Room 517 D
Sun 08:00 a.m.	V7: Graphotate - Models and plugin tools to quickly annotate datasets for scientific research. Habana Labs: Performance Breakthrough with Habana’s AI Inference Processor SAS Institute Inc.: Real-time Defect Detection with SAS Deep Learning and Event Stream Processing Imagia: Creative Minds Reimagining Healthcare Intel AI: Accelerating TensorFlow performance with nGraph Amazon: Amazon’s internal hosted notebook service accelerating ML adoption, collaboration, and education Alibaba Group: FPGA based CNN system for video analytics Twenty Billion Neurons: TwentyBN’s Avatar: A life-like personable AI experience IBM Research AI: Automatic Generation of Factsheets for Trusted AI in a Runtime Environment	Baidu: Common Model Infrastructure	Pony.ai: Machine Learning for Autonomous Driving: Recent Advances and Research Opportunities (MLAuto)	Nvidia: NVIDIA AI Tech Workshop	Alibaba Group: Video Understanding in Youku	QuantumBlack: Fairness and Explainability: From ideation to implementation	XPRIZE: AI for Good in Action	IBM Research AI: IBM Project Debater
Sun 09:00 a.m.							Google AI: How Algorithmic Fairness influences the Product Development Lifecycle	Capital One Services,: Eno's Deep Learning-Powered Natural Language Understanding
Sun 10:30 a.m.							Wayfair: Deep learning in e-commerce: Building a deep learning capability & driving strong results	Alibaba Group: AI at Alibaba
Sun 11:30 a.m.							IVADO: The Montréal Declaration Responsible AI approach	Ouster, Inc.: Native camera imaging on LIDAR and novel deep learning enablement
Sun 02:00 p.m.	Tencent AI Lab: Real-Time Mobile Pose Estimation Based on a Teacher-Student Training Strategy Microsoft: ML on Resource Constrained Edge Devices – GesturePod! Insilico Medicine, Inc.: End-to-end machine learning engine for drug discovery SigOpt: How Performing Orchestration and Optimization Together Leads to Better Outcomes Baidu: Simultaneous Translation MathWorks: Using MATLAB with Keras and ONNX Didi Chuxing: Deep RL for Online Order Dispatching and Driver Repositioning Facebook, Inc: High Performance Research (to Production) using PyTorch 1.0	Facebook, Inc: Research to Production in NLP Applications at Facebook	NetEase Fuxi Lab: Make reinforcement learning in touch with industry	NAVER│LINE: Beyond Jarvis: From AI Assistant to Ambient Intelligence	Insilico Medicine, Inc.: Machine Learning for Drug discovery and Biomarker development	Amazon: Driving ML Adoption through Education in an Industry Setting	Insilico Medicine, Inc.: Generative Models for Drug Discovery	Didi Chuxing: DL and RL in Intelligent Transportation Systems
Sun 03:00 p.m.							NextAI / NEXT: From Lab to Startup - How to Commercialize your AI Research	Hudson River Trading: Inside the Black Box: Machine Learning and Optimization at HRT
Sun 04:30 p.m.							BenevolentAI: Artificial Intelligence for target identification in drug discovery	Hearst: Image Retrieval and Video Editing pipeliens in Media Companies
Sun 05:30 p.m.							Element AI: Governance of AI - a Human Rights Approach	Intel AI: Intel nGraph: Unlocking Next-Generation Performance with Deep Learning Compilers