Pixel2Style2Pixel: Novel Encoder Architecture Boosts Facial Image-To-Image Translation
Researchers from Penta-AI and Tel-Aviv University introduce a generic image-to-image translation framework dubbed Pixel2Style2Pixel (pSp).
AI Technology & Industry Review
Global machine intelligence updates.
Researchers from Penta-AI and Tel-Aviv University introduce a generic image-to-image translation framework dubbed Pixel2Style2Pixel (pSp).
Researchers introduced an ensemble-based deep learning pipeline to automatically assess the distal radius and ulna (DRU) maturity from left-hand radiographs.
ArXiv announced that all of its research papers are now available on Kaggle.
Researchers conducted a thorough empirical study of hyperparameter selection for offline RL, aiming to identify and develop more reliable and effective approaches.
“Unselfie,” a novel photographic transformation model that can automatically translate selfies into neutral-pose portraits.
A Seoul National University Master’s student and developer has trained a face generating model to transfer normal face photographs into cartoon images in the distinctive style of Lee Mal-nyeon.
OpenAI’s 175 billion parameter language model GPT-3 has gone viral once again.
BigBird is shown to dramatically improve performance across long-context NLP tasks, producing SOTA results in question answering and summarization.
Researchers proposed a new transformer architecture called “Performer” — based on what they call fast attention via orthogonal random features (FAVOR).
Genderify is an AI-powered tool designed to identify a person’s gender by analyzing their name, username or email address.
PFRL succeeds ChainerRL as comprehensive library with cutting-edge deep reinforcement learning algorithms and features.
The industry-standard MLPerf benchmark today released the results of the third round of its ongoing ML Training Systems competition.
Unlike previous work that suggested fully-connected networks can only deliver subpar performance, Neyshabur’s experiments showed a significant performance jump.
This framework can generate high-quality cartoonized images with much-improved controllability.
The researchers say the approach produces motions that are visually and physically much more plausible than state-of-the-art methods.
Chinese tech giant Tencent has proposed to acquire all of the Sogou’s outstanding ordinary shares for a cash price of US$9 per share.
The process of applying machine learning methods in medical image analysis is called medical image computation. This post will introduce SIAT’s work in medical image synthesis, classification, and segmentation.
New research from UK based AI company and research lab DeepMind is enabling AI agents to perceive dynamic real-world environments more like humans do.
Despite being less accurate on ImageNet, adversarially robust neural networks can match or improve their standard counterparts’ transfer performance.
Researchers introduce a joint Spatial-Temporal Transformer Network (STTN) to tackle such video inpainting challenges.
Researchers have developed a new technique for self-supervised training of convolutional networks used for image classification and other computer vision tasks.
Google researchers propose an “AutoML-Zero” approach designed to automatically search for machine learning (ML) algorithms from scratch, requiring minimal human expertise or input.
Researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot, a multilingual and multimodal news reporter.
Fujitsu has developed the world’s first AI technology that accurately captures the characteristics of high-dimensional data without labeled training data.
A team of Google researchers recently proposed a novel “complete and label” domain adaptation approach.
This paper carefully engineers artificial-language learning experiments to replicate sources of information infants learn from and under what conditions.
NVIDIA researchers propose a novel vid2vid framework that utilizes all past generated frames during rendering.
Microsoft announced it would spin off its chatbot business XiaoIce, with all associated technologies licensed to a newly formed independent company.
NeurIPS desk-rejects (papers passed over without review) has become “a super noisy process,” complains a post in the Reddit Machine Learning group.
Researchers launched the ProtTrans Project, which provides an outstanding model for protein pretraining.
PLATO-2, a open-domain chatbot model, can talk about anything in Chinese and English and engage in deep conversations.
TaBERT-powered neural semantic parsers showed performance improvements on the challenging benchmark WikiTableQuestions and demonstrated competitive performance on the text-to-SQL dataset Spider.
Researchers proposed a Taylor Expansion Policy Optimization (TayPO) framework that combines two leading algorithmic improvement methods.
Insilico Medicine announced a spin-off of its aging biomarker and deep aging clock business.
The acceptance rate of 21.8 percent is slightly lower than 2019’s 22.6 percent (774 accepted papers from 3,424 submissions).
DeepMind introduced a new approach designed to improve the generalizability and efficiency of algorithms represented by neural networks.
Microsoft today announced it will divest its XiaoIce business into an independent company, with Harry Shum appointed as the Chairman of the board.
To promote fairer ML systems, the team introduced a collaborative causal theory formation that incorporates diverse stakeholder perspectives for discovering and considering societal context.
DeepMind researchers call attention to another “fundamentally novel” development in AI research — deep reinforcement learning (deep RL) — which they believe also has vital implications for neuroscience and deserves more attention from neuroscientists.
The post highlights perceived peer-review problems, the reproducibility crisis, and ethics and diversity issues.