DeepMind Introduces ‘Acme’ Research Framework for Distributed RL
DeepMind researchers introduce a framework that aims to solve the problem by enabling simple RL agent implementations to be run at different scales of execution.
Category: Machine Learning & Data Science
Pandemics don’t wait: How we built COVID-Net in under 7 days
Rather than simply treating AI as a tool to be leveraged, this approach reimagines AI as a collaborator that learns from a developer’s needs and subsequently proposes multiple design approaches with different trade-offs in order to enable a rapid and iterative approach to model building.
ICML 2020 Announces Accepted Papers
A total of 1,088 papers out of 4,990 submissions made it to the prestigious machine learning conference.
DeepMind Says Syntactic Biases ‘Helped BERT Do Better’
Researchers add syntactic biases to determine whether and where they can help BERT achieve better understanding.
Facebook AI’s DETR Applies Transformers to CV Tasks
Facebook this week released Detection Transformers (DETR), a new approach for object detection and panoptic segmentation tasks that uses a completely different architecture than previous object detection systems.
Bengio-Backed Startup Korbit Introduces STEM Intelligent Tutoring System
Canadian education technology startup Korbit Technologies has introduced a personalized AI-powered learning experience that it says can help all students learn faster and better in a cost-effective way.
Google Introduces BLEURT – a BERT-Based NLG Evaluation Metric
Google Research team proposes the automatic metric BLEURT which is based on the highly successful Google language model BERT.
Introducing Paddle Quantum: How Baidu’s Deep Learning Platform PaddlePaddle Empowers Quantum Computing
Paddle Quantum is developed based on Baidu’s deep learning platform PaddlePaddle, which has become the first and unique deep learning platform in China that supports quantum machine learning.
NVIDIA’s GameGAN Uses AI to Recreate Pac-Man and Other Game Environments
GameGAN, a generative model that learns to visually imitate video game environments by ingesting screenplay and keyboard actions during training.
Breakthrough Colourization Technique Enables Instance-Aware Treatment of Multiple Objects
The research team proposes that colourization performance can be improved dramatically at the instance level for a few reasons.
Tsinghua & UC Berkeley | A New Meta-Baseline for Few-Shot Learning
A new simple baseline for few-shot learning that achieves state-of-the-art performance.
ICLR 2020 | A Look at Three Interesting Papers on the Robustness of Neural Networks
A look at three ICLR papers to look at that fall under the topic of robustness
Cross-domain Correspondence Learning for Exemplar-based Image Translation
We present a general framework for exemplar-based image translation, which synthesizes a photo-realistic image from the input in a distinct domain, given an exemplar image.
Google Introduces ‘Meta-Dataset’ Benchmark for Few-Shot Learning
Google AI researchers introduce Meta-Dataset, a large-scale and diverse benchmark for measuring the ability of few-shot classification models.
Facebook’s Highly Efficient New Real-Time Text-To-Speech System Runs on CPUs
To deliver human-level voices to its platform’s billions of users while maintaining strict compute efficiency, Facebook AI researchers have deployed a new neural TTS system that works on CPU servers.
Bringing Old Photos Back to Life
The proposed method outperforms supervised methods and unsupervised translation methods on restoring real photos.
Self-Supervised ‘Plan2Explore’ RL Agent Achieves SOTA Zero-Shot and Adaptation Performance
Enter Plan2Explore — a self-supervised RL agent designed to quickly generalize to unseen tasks in a zero or few-shot manner.
Google ‘Data Echoing’ Accelerates Neural Network Training
A “data echoing” technique that enables these time-consuming upstream training stages to also benefit from accelerators.
Google Brain’s DRL Helps Robots ‘Think While Moving’
The proposed concurrent DRL algorithm enables robots to take a broader and more long-term view of tasks and behaviours, and decide on their next action before the current one is completed.
Cooperation Instead of Competition: Harvard & Microsoft Research Optimizes AI-Human Teamwork
A new paper explores the potentially richer optimizations that could result from a spirit of human-machine teamwork built on complementarity.
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
This paper proposes a novel graph-constrained generative adversarial network, whose generator and discriminator are built upon relational architecture.
AI2 & UW Researchers Propose ‘TL;DR’ Paper Summarization Task
A team from the Allen Institute for Artificial Intelligence and the University of Washington this week introduced TLDR generation, a new automatic summarization task for scientific papers.
Epic-Kitchens | Largest Egocentric Video Dataset Gets New Baselines
Researchers from the University of Bristol, the University of Toronto and the University of Catania explain how they created Epic-Kitchens and introduce new baselines that emphasize the multimodal nature of the largest such egocentric video benchmark.
New TTNet Table Tennis Model Accelerates DL in Sports Analysis
A team of researchers from Russian AI startup OSAI recently introduced the real-time neural network TTNet, designed for processing high-resolution table tennis videos with both temporal and spatial data.
Consistent Video Depth Estimation: Generating HQ Depth Maps From Single Video Input
Researchers from the University of Washington, Virginia Tech and Facebook have introduced an algorithm that can reconstruct dense, geometrically consistent depth for all pixels in monocular videos.
Facebook Says Its ‘Blender’ Chatbot Is the Most Humanlike Ever
This is the first chatbot to blend a diverse set of conversational skills — including empathy, knowledge, and personality — together in one system.
VidPress: Baidu’s New AI Tool Creating Videos from a URL with One-Click
VidPress is an AI-powered video synthesis tool Baidu Research recently developed in an effort to churn out sleek, professional video content in one click.
AI21 Labs Asks: How Much Does It Cost to Train NLP Models?
How much is this going to cost? And what are the main factors affecting that price tag?
Algorithms, Islands & Nook Miles: AI Workshop Will Be Held in ‘Animal Crossing’
Yesterday in the r/MachineLearning subreddit, a lighthearted announcement appeared from the “Animal Crossing Artificial Intelligence Workshop (ACAI)”calling for abstracts.
Clova AI Releases StarGAN v2 Code, Pretrained Models and Datasets
South Korea’s Naver Clova AI Research is one of the institutions behind the unsupervised generative network U-GAT-IT. The tech hasContinue Reading
New Study Tracks NLP Development and Direction Through a ‘World Scope’
Researchers “posit that the universes of knowledge and experience available to NLP models can be defined by successively larger world scopes: from a single corpus to a fully embodied and social context.”
Amazon Introduces ResNeSt: Strong, Split-Attention Networks
The latest ResNet improvement comes courtesy researchers from Amazon and UC Davis, who unveiled their Split-Attention Networks, ResNeSt.
Who Invented Backpropagation? Hinton Says He Didn’t, but His Work Made It Popular
Hinton, University Professor Emeritus at the University of Toronto, responded on Reddit, “I have never claimed that I invented backpropagation.
New Hinton Nature Paper Revisits Backpropagation, Offers Insights for Understanding Learning in the Cortex
Turing awardee and backpropagation pioneer Geoffrey Hinton recently co-authored a paper that takes a look back at backpropagation and explores its potential to contribute to understanding how the human cortex learns.
Google & DeepMind Unify Normalization and Activation Layers, Discover ‘EvoNorms’
Researchers unify DNN normalization layers and activation functions into a single computation graph.
PyTorch 1.5 Released: New APIs, Updated C++ Frontend and More
The PyTorch Team yesterday announced the release of PyTorch 1.5, along with new and updated libraries.
IJCAI – PRICAI 2020 | Papers Announced; Record Low 12.6% Acceptance Rate
The accepted papers have been announced for IJCAI – PRICAI 2020.
Creating ‘Yuru-Chara’ and a New Class Conditional GAN Approach For Small Datasets
Researchers have proposed a new and inexpensive method for automatically generating yuru-chara characters.
Landing AI ‘Social Distancing Detector’ Monitors Workplaces
Silicon Valley based Landing AI introduced a new AI-enabled social distancing detection tool designed to help monitor and enforce physical distancing protocols in workplaces.
Deflecting Adversarial Attacks
Researchers introduce the notion of deflecting adversarial attacks, which presents a step towards ending the battle between attacks and defenses.