NeurIPS
December 06 - 14, 2021
NeurIPS-21
Online
Overview
In an effort to provide a safe, productive, and worthwhile forum for both attendees and sponsors alike, the annual NeurIPS conference will remain fully virtual for 2021. NeurIPS-2021 is hosting a complimentary careers website for companies, non-profits and academics to post jobs, postdoctoral positions, or fellowships.
Recruit information
Senior Research Scientist
Robotics
Full Time | Tokyo
Robotics Engineer
Robotics
Full Time | Tokyo
AI Engineer
Machine Learning
Full Time | United States (location flexible)
Project Manager
Management Role
Full Time | Tokyo
Senior Research Scientist
Computer Vision
Full Time | Tokyo
Research Scientist (Computer Vision and Algorithmic Fairness)
Computer Vision, AI Ethics
Full Time | United States (location flexible)
Research Intern (Privacy-Preserving Machine Learning)
Machine Learning, Computer Vision
Internship | Location Flexible
Project Lead – AI Ethics: AI Ethics Office (AEO), Sony Group Corporation
Full Time | Tokyo, Japan
Lead Research Scientist Machine Learning for Gastronomy
Machine Learning
Full Time | Barcelona or Tokyo
Related Publications
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Backdoor attack has emerged as a major security threat to deep neural networks(DNNs). While existing defense methods have demonstrated promising results on detecting and erasing backdoor triggers, it is still not clear if measures can be taken to avoid the triggers from bein…
Collaborative machine learning provides a promising framework for different agents to pool their resources (e.g., data) for a common learning task. In realistic settings where agents are self-interested and not altruistic, they may be unwilling to share data or model without…
When humans play virtual racing games, they use visual environmental information on the game screen to understand the rules within the environments. In contrast, a state-of-the-art realistic racing game AI agent that outperforms human players does not use image-based environ…
In this paper, we introduce d3rlpy, an open-sourced offline deep reinforcement learning (RL) library for Python. d3rlpy supports a number of offline deep RL algorithms as well as online algorithms via a user-friendly API. To assist deep RL research and development projects, …
SATNet is an award-winning MAXSAT solver that can be used to infer logical rules and integrated as a differentiable layer in a deep neural network. It had been shown to solve Sudoku puzzles visually from examples of puzzle digit images, and was heralded as an impressive achi…
Understanding the relationships between biomedical terms like viruses, drugs, and symptoms is essential in the fight against diseases. Many attempts have been made to introduce the use of machine learning to the scientific process of hypothesis generation (HG), which refers …
We propose firefly neural architecture descent, a general framework for progressively and dynamically growing neural networks to jointly optimize the networks' parameters and architectures. Our method works in a steepest descent fashion, which iteratively finds the best netw…
We examine the problem of transferring a policy learned in a source environment to a target environment with different dynamics, particularly in the case where it is critical to reduce the amount of interaction with the target environment during learning. This problem is par…
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