New Google & Oxford Model Time-Shifts People in Videos
A group of researchers from Google Research and the University of Oxford have introduced a novel technique that can “retiming” people’s movements in videos.
Category: Research
Technical review of the newest machine intelligence research.
After 15 Long Years, a NumPy Paper Finally Appears!
NumPy is the foundation upon which the scientific Python ecosystem is constructed.
New DeepMind Approach ‘Bootstraps’ Self-Supervised Learning of Image Representations
From an augmented view of an image, the researchers trained the online network to predict the target network representation of the same image under a different augmented view.
Czech Tech Does the Monster Mash: Animating 3D Models in Seconds
Monster Mash, a novel AI-powered 3D modelling and animation tool, aims to make these arduous 3D animation processes a whole lot easier.
Facebook AI Enables Automatic Closed Captions for Facebook Live
Facebook AI researchers and engineers just made live video content more accessible by enabling automatic closed captions for Facebook Live and Workplace Live.
Human Feedback Improves OpenAI Model Summarizations
OpenAI sets out to advance methods for training large-scale language models on objectives that more closely capture human preferences.
Microsoft Democratizes DeepSpeed With Four New Technologies
Microsoft has released four additional DeepSpeed technologies to enable even faster training times, whether on supercomputers or a single GPU.
A Closer Look at the Generalization Gap in Large Batch Training of Neural Networks
This research addresses a well-known phenomenon regarding large batch sizes during training and the generalization gap.
Argo AI Model Jointly Plots Vehicle Pose and Shape From LiDAR Data
Researchers have introduced a novel network architecture for jointly estimating the shape and pose of vehicles even from partial LiDAR observations.
OpenAI ‘GPT-f’ Delivers SOTA Performance in Automated Mathematical Theorem Proving
OpenAI researchers introduce GPT-f, an automated prover and proof assistant for the Metamath formalization language.
TinySpeech: Novel Attention Condensers Enable Deep Recognition Networks on Edge Devices
Novel attention condensers designed to enable the building of low-footprint, highly-efficient deep neural networks for on-device speech recognition on the edge.
New Multitask Benchmark Suggests Even the Best Language Models Don’t Have a Clue What They’re Doing
Researchers introduce a test covering topics such as elementary mathematics, designed to measure language models’ multitask accuracy.
Virginia Tech & Facebook Video Completion Algorithm Achieves SOTA Results
Researchers introduced a novel flow-based video completion algorithm that compares favourably with the state-of-the-art in the field.
Huawei and University of Toronto | All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling
This research proposes an efficient and cost-effective solution for multi-frame video interpolation.
A Look at IGLOO: Slicing the Features Space to Represent Sequences
The ReDNA Labs research team has devised a new lightweight approach called IGLOO which allows to deal with sequences up to 25,000 steps long.
Is OpenAI’s GPT-3 API Beta Pricing Too Rich for Researchers?
Although OpenAI hasn’t yet officially announced the GRT-3 pricing scheme, Branwen’s sneak peek has piqued the interest of the NLP community.
DeepMind Uses GNNs to Boost Google Maps ETA Accuracy by up to 50%
DeepMind unveiled a partnership with Google Maps that has leveraged advanced GNNs to improve ETA accuracy.
IIIT Hyperbad’s ‘Wav2Lip’ Boosts Lip-Sync Video Performance
“Wav2Lip,” a novel lip-synchronization model that outperforms current approaches by a large margin in both quantitative metrics and human evaluations.
High-Speed Privacy Protection: Facebook Opacus Trains PyTorch Models With DP
Facebook AI this week released a new high-speed library called Opacus.
Microsoft Researcher Single-Handedly Surveys the SOTA in Sign Language Recognition
Researcher composes a quantitative survey of the SOTA in sign language recognition (SLR).
AMBERT: BERT with Multi-Grained Tokenization Achieves SOTA Results on English and Chinese NLU Tasks
AMBERT (A Multigrained BERT) leverages both fine-grained and coarse-grained tokenizations to achieve SOTA performance on English and Chinese language tasks.
Computer-aided Systems May Speed up New Anticancer Drug Development
Researchers analyzed different subareas of CADD process with a focus on anticancer drugs.
Facebook One-Shot, On-Device Model Efficiently Transforms Smartphone Pics Into 3D Images
Facebook has introduced a model that turns common two-dimensional pictures into 3D photos.
Elon Musk’s Neuralink Demos Brain-Computer Link in Live Pigs
Last Wednesday, Elon Musk caught the AI community’s attention with a tweet announcing an upcoming “Live webcast of working @Neuralink device…” On Friday, the billionaire tech entrepreneur delivered. With pigs.
Deep Claim: Payer Response Prediction from Claims Data with Deep Learning
The paper outlines a predictive model we’ve developed that has the potential to help significantly reduce wasteful healthcare spending.
Salesforce’s AI-Powered Economist Seeks to Optimize Income Equality and Productivity
The AI Economist uses a two-level RL framework where a collection of AI agents simulate how humans might react to various taxes in a principled economic simulation.
Can AI Reimagine City Configuration and Automate Urban Planning?
Researchers propose reducing the workloads of urban planners by introducing deep learning systems to handle some of their responsibilities.
Introducing Qian Yan, Baidu’s New Plan to Build 100 Chinese NLP Datasets in Three Years
Qian Yan, a plan to jointly develop the world’s largest Chinese natural language processing database.
Novel Algorithm Proposed for Sensory Event Detection via Flexible Film Electrodes
Researchers proposed an optimized deep learning algorithm for detecting sensory events occurring during stimulation of the nerves using a stretchable and flexible electrocorticography (ECoG) electrode.
Intel Lab Transforms Your Phone into a Robot for $50
Intel Labs researchers have proposed a novel method for building a robot called “OpenBot” on just a US$50 budget.
Detecting Deepfakes: MIT CSAIL Model Identifies Manipulations Using Local Artifacts
Researchers proposed a new model that is designed to spot deepfakes by looking at subtle visual artifacts.
Fewer Cameras and Faster Processing: USC Proposes Monocular Real-Time Volumetric Performance Capture
A novel volumetric capture system that is capable of fully capturing clothed human bodies in real-time using only a single RGB webcam.
ECCV 2020 Best Paper Award Goes to Princeton Team
The 16th European Conference on Computer Vision (ECCV) kicked off on Sunday as a fully online conference. In the Conference Opening Session this morning, the ECCV organizing committee announced the conference’s paper submission stats and Best Paper selections.
CUHK & Facebook Demonstrate SOTA Monocular 3D Hand Motion Capture Method ‘FrankMocap’
Researchers from The Chinese University of Hong Kong, Facebook Reality Labs, and Facebook AI Research have unveiled a state-of-the-art monocular 3D hand motion capture method, FrankMocap, which can estimate both 3D hand and body motions from in-the-wild monocular inputs with faster speed and better accuracy than previous approaches.
Sepp Hochreiter on Parallels Between Attention Mechanisms and Modern Hopfield Networks
Researchers argue that “attention mechanism is the update rule of a modern Hopfield network with continuous states.”
New ML Algorithm Tunes Quantum Devices Faster Than Human Experts
The proposed algorithm is approximately 180 times faster than an automated random search of the parameter space.
Using Deep RL to Model Human Locomotion Control in Neuromechanical Simulations
Researchers from Stanford University, UC Berkeley and CMU review neuromechanical simulations and DRL, with a focus on modelling the control of human locomotion.
MRI Study Reveals Arterial Culprit Plaque Characteristics
Researchers developed a head-neck combined HR-MRVWI technique that could potentially provide remarkable suppression of cerebrospinal fluid signals.
Fast and Furious! DRL-Fuelled Agents Grab Pole Position in Gran Turismo Sport
University of Zurich and ETH Zurich’s deep reinforcement learning agents have achieved superhuman performance in the time trials of popular racing simulator game Gran Turismo Sport.
Tesla Video Data Processing Supercomputer ‘Dojo’ – Building a 4D System Aiming at L5 Self-Driving
Elon Musk tweeted that Tesla is recruiting AI or chip talents for the company’s neural network training supercomputer project “Dojo.”