BC BUSINESS
Saved by @jay_millerjay

Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:

1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!

 Integrating prediction in mean-variance portfolio optimization

https://t.co/QWaryyQzam
Corporate Social Responsibility and Corporate Governance: A cognitive approach

https://t.co/7S7MkxrJEH
The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?

https://t.co/ykUEv6isZQ
Sustainable and Resilient Systems for Intergenerational Justice

https://t.co/1pPKDEh85z
A Core of E-Commerce Customer Experience based on Conversational Data using Network Text Methodology

https://t.co/2CgOY7mZH9
Deep Learning for Market by Order Data

https://t.co/Nzs544G9ST
The economic dependency of the Bitcoin security

https://t.co/UxdJQn9HKg
On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning

https://t.co/f53jC2V5cz
LATE for History

https://t.co/lLy6UBfMvc
Supportive 5G infrastructure policies are essential for universal 6G: Evidence from an open-source techno-economic simulation model using remote sensing

https://t.co/1WMHwXyhtT
Integrating Floor Plans into Hedonic Models for Rent Price Appraisal

https://t.co/01tmCxtBpg
Personality Traits and the Marriage Market

https://t.co/JiXL2IJPxd
Time-varying properties of asymmetric volatility and multifractality in Bitcoin

https://t.co/rTtGE7PUe8
REST: Relational Event-driven Stock Trend Forecasting

https://t.co/FDAoNZgxNd
How Misuse of Statistics Can Spread Misinformation: A Study of Misrepresentation of COVID-19 Data

https://t.co/yisQnqgax1
Aggregate Modeling and Equilibrium Analysis of the Crowdsourcing Market for Autonomous Vehicles

https://t.co/VVnZYkLenh
The corruptive force of AI-generated advice

https://t.co/JxplsShpnJ
The Golden Age of the Mathematical Finance

https://t.co/5UWtrMLuFX
Deep Reinforcement Learning for Portfolio Optimization using Latent Feature State Space (LFSS) Module

https://t.co/9210MxNh8Y
Hedging of Financial Derivative Contracts via Monte Carlo Tree Search

https://t.co/Zrj7YsDivl
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football

https://t.co/ArOFaGcoIK
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

https://t.co/587J7vurn6
Clockwork Variational Autoencoders for Video Prediction

https://t.co/CnLG5iFFCv
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays

https://t.co/fwycwMG0We
Fake News Detection: a comparison between available Deep Learning techniques in vector space

https://t.co/jGPmEwwKnU
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models

https://t.co/Vq6GK26YUm
L2E: Learning to Exploit Your Opponent

https://t.co/mj1wN8FwVd
A Study on the Manifestation of Trust in Speech

https://t.co/GiE4b80x7R
AI Can Stop Mass Shootings, and More

https://t.co/zfHlij5ZNz
Reinforcement Learning for Datacenter Congestion Control

https://t.co/3egxwyn3Td
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud

https://t.co/brnJt0ITk6
Training Microsoft News Recommenders with Pretrained Language Models in the Loop

https://t.co/OEa0iH5JFo
Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks

https://t.co/ZhrOxKJx7W
From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention

https://t.co/2WwpmBUXiX
Entity-level Factual Consistency of Abstractive Text Summarization

https://t.co/7a18lXQw8B
Understanding and Creating Art with AI: Review and Outlook

https://t.co/qxd7lLqSJo
Spacewalker: Rapid UI Design Exploration Using Lightweight Markup Enhancement and Crowd Genetic Programming

https://t.co/x4jo8hbIDX
Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters

https://t.co/quFFINIoVd
Towards AIOps in Edge Computing Environments

https://t.co/Bq1vusI0jJ
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation

https://t.co/j19fLyb9Oz
Genetically Optimized Prediction of Remaining Useful Life

https://t.co/J9vxC5PNRl
An Objective Laboratory Protocol for Evaluating Cognition of Non-Human Systems Against Human Cognition

https://t.co/g3qsoxcZKt
Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan

https://t.co/oh7Qm5F7i0
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare

https://t.co/mG86vPY2pI
Towards the Right Kind of Fairness in AI

https://t.co/BE20tyAGpf
Sparsely Factored Neural Machine Translation

https://t.co/sZDUaClW1X
I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion

https://t.co/YtxVyTI6sc
A Graph Neural Network to Model User Comfort in Robot Navigation

https://t.co/oq35Ada9gS
Using exoskeletons to assist medical staff during prone positioning of mechanically ventilated COVID-19 patients: a pilot study

https://t.co/sTUIYEztwW
Autonomous Navigation in Dynamic Environments: Deep Learning-Based Approach

https://t.co/XViAqjhCwJ
Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study

https://t.co/iMMa4QxAtj
ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens

https://t.co/5jV6U6GAhc
Fully General Online Imitation Learning

https://t.co/0RHhj8SI8K
Temporal Memory Attention for Video Semantic Segmentation

https://t.co/6L5gZP2EOx
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification

https://t.co/OcKtSHWG0U
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters

https://t.co/l6AvMftn6F
Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images

https://t.co/TpYMFLpTva
Mode-Assisted Joint Training of Deep Boltzmann Machines

https://t.co/aEML9if9sE
Integrating Pre-trained Model into Rule-based Dialogue Management

https://t.co/0yqJvEZcyH
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments

https://t.co/V7cvV7ImjK
TableLab: An Interactive Table Extraction System with Adaptive Deep Learning

https://t.co/x431QLmZlU
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles

https://t.co/p9nFs0U9me
The Yin-Yang dataset

https://t.co/L1yG0OWPHX
Music Harmony Generation, through Deep Learning and Using a Multi-Objective Evolutionary Algorithm

https://t.co/HZQT4Kqc1D
ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks

https://t.co/FQXH2WrGRG
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software

https://t.co/c81dEIgiuT
Engineering Education in the Age of Autonomous Machines

https://t.co/sJcOhKpDIe
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research

https://t.co/MJZgPvBSlz
Hierarchical VAEs Know What They Don't Know

https://t.co/6vJN2v1XHd
An AutoML-based Approach to Multimodal Image Sentiment Analysis

https://t.co/VWRIp1e8is
Boosting Deep Transfer Learning for COVID-19 Classification

https://t.co/A5f6F2jpug
Steadily Learn to Drive with Virtual Memory

https://t.co/xm05d92wqs
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals

https://t.co/61zKdEpX0Y
EDITH :ECG biometrics aided by Deep learning for reliable Individual auTHentication

https://t.co/jPhEInmm5B
Training Stacked Denoising Autoencoders for Representation Learning

https://t.co/uKTsoKDKgC
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

https://t.co/SARCnpNwAg
Training Larger Networks for Deep Reinforcement Learning

https://t.co/gzAKBfNcdS
Anomalous Sound Detection with Machine Learning: A Systematic Review

https://t.co/yLk3RbxOOm
How RL Agents Behave When Their Actions Are Modified

https://t.co/lrc27s8s7S
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems

https://t.co/NRC8Q1Dk4w
Player-Centered AI for Automatic Game Personalization: Open Problems

https://t.co/mSfmztneSi
Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon

https://t.co/YLBVXgk79P
AI Ethics Needs Good Data

https://t.co/DAtB3CfLzm
Why Talking about ethics is not enough: a proposal for Fintech's AI ethics

https://t.co/IuZxZoRKyK
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels

https://t.co/CipbumMwLh
Fast End-to-End Speech Recognition via a Non-Autoregressive Model and Cross-Modal Knowledge Transferring from BERT

https://t.co/amS3PWqZOS
CHARET: Character-centered Approach to Emotion Tracking in Stories

https://t.co/gIbPb48kio
DAC: Deep Autoencoder-based Clustering, a General Deep Learning Framework of Representation Learning

https://t.co/TKLt9iu2Nz
Reinforcement Learning for IoT Security: A Comprehensive Survey

https://t.co/e2F4maHr4a
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS

https://t.co/32rYU1TZZW
Domain Adversarial Reinforcement Learning

https://t.co/JSBY6Vb2M1
Learning Intents behind Interactions with Knowledge Graph for Recommendation

https://t.co/OY8vxtBIOY
Adversarial defense for automatic speaker verification by cascaded self-supervised learning models

https://t.co/qqi8RuilnA
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

https://t.co/PXRVg4qvxf
Interactive Learning from Activity Description

https://t.co/31YbQLZQvJ
DeepRA: Predicting Joint Damage From Radiographs Using CNN with Attention

https://t.co/wG0zctmbTq
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning

https://t.co/yyD2nuVTfu
Multi-class Generative Adversarial Nets for Semi-supervised Image Classification

https://t.co/ezwaLcp6Ga
Wasserstein Proximal of GANs

https://t.co/gu8E7HcGaX
Universal Adversarial Perturbations for Malware

https://t.co/hmykJNnJje
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution

https://t.co/pt4JfjyLCJ
A novel method for object detection using deep learning and CAD models

https://t.co/79JfZ0nLpj
Intelligent Software Web Agents: A Gap Analysis

https://t.co/92pGGLfKEp
VitrAI -- Applying Explainable AI in the Real World

https://t.co/Nn9YeUsVx0
Rethinking Eye-blink: Assessing Task Difficulty through Physiological Representation of Spontaneous Blinking

https://t.co/Qjl0MJ5Vf7
Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network

https://t.co/uKVPq84EfT
Improving Object Detection in Art Images Using Only Style Transfer

https://t.co/pXbPIx0jQu
Transformer Language Models with LSTM-based Cross-utterance Information Representation

https://t.co/RlboGXdizN
A Decentralized Approach Towards Responsible AI in Social Ecosystems

https://t.co/x4VivBrgwH
DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals

https://t.co/eKGz0hAxXO
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

https://t.co/wAHnPiA6wC
A Machine Learning model of the combination of normalized SD1 and SD2 indexes from 24h-Heart Rate Variability as a predictor of myocardial infarction

https://t.co/8LEjDbAXNp
Recurrent Rational Networks

https://t.co/QsVaicMeu2
Robust PDF Document Conversion Using Recurrent Neural Networks

https://t.co/GmRrxe5Qiv
VAE Approximation Error: ELBO and Conditional Independence

https://t.co/fTzOCBiLWX
DINO: A Conditional Energy-Based GAN for Domain Translation

https://t.co/qp0cOgm03Q
A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space

https://t.co/VJSUzwRcXF
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder

https://t.co/kSqin9QLdn
Improving Hierarchical Adversarial Robustness of Deep Neural Networks

https://t.co/mC7Cvg1PcF
Domain Adaptation for Medical Image Analysis: A Survey

https://t.co/eJBBMJnI5D
Regular Expressions for Fast-response COVID-19 Text Classification

https://t.co/6Eaw9HE42k
Transfer Learning for Linear Regression: a Statistical Test of Gain

https://t.co/VjvcLRo4Ir
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

https://t.co/l9QrkIu3ir
Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks

https://t.co/PQkL2XhIG8
NFCNN: Toward a Noise Fusion Convolutional Neural Network for Image Denoising

https://t.co/fhBNkwq8PX
A Comprehensive Review of Deep Learning-based Single Image Super-resolution

https://t.co/fsork7CxTr
Dynamic Memory based Attention Network for Sequential Recommendation

https://t.co/o9t1FXypki
Sparse-Interest Network for Sequential Recommendation

https://t.co/MS5CI0w4LL
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks

https://t.co/Vbdrsxve7a
Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm

https://t.co/gw8Wlpw3ex
Quiz-Style Question Generation for News Stories

https://t.co/NUYssrgmSd
TapNet: The Design, Training, Implementation, and Applications of a Multi-Task Learning CNN for Off-Screen Mobile Input

https://t.co/rMIymn4dfQ
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids

https://t.co/vh8GvCY6Zl
End-to-end learnable EEG channel selection with deep neural networks

https://t.co/pKRFwib7LH
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models

https://t.co/4M9GlITBJG
POLA: Online Time Series Prediction by Adaptive Learning Rates

https://t.co/LSTQo0zQlj
Graph Learning with 1D Convolutions on Random Walks

https://t.co/bmXrLWx5rk
Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE

https://t.co/PumNHJh5QZ
Rethinking Co-design of Neural Architectures and Hardware Accelerators

https://t.co/pWkCQtXuaB
Centroid Transformers: Learning to Abstract with Attention

https://t.co/d5RvbJ4j0E
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks

https://t.co/FzRFIJP7UK
Re-identification of Individuals in Genomic Datasets Using Public Face Images

https://t.co/cGC3CLWttM
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications

https://t.co/rxJWi0F0mK
Globally-Robust Neural Networks

https://t.co/ypdG6K1yxq
Scaling Neuroscience Research using Federated Learning

https://t.co/CYfMhiOFAU
Complex Momentum for Learning in Games

https://t.co/t4pROL50V1
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection

https://t.co/vpCq4UiEsm
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection

https://t.co/YnfdONIDDQ
Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics

https://t.co/wPptFLMYkf
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder

https://t.co/Z5vy8ttfaT
CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings

https://t.co/YhMIEtAv34
Coupled Feature Learning for Multimodal Medical Image Fusion

https://t.co/odDT1nMCZY
LambdaNetworks: Modeling Long-Range Interactions Without Attention

https://t.co/5Nxb3BOo3d
Evolving GAN Formulations for Higher Quality Image Synthesis

https://t.co/EatFRyBMbv
End-to-end lyrics Recognition with Voice to Singing Style Transfer

https://t.co/xMM0gL8CdX
Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics

https://t.co/Zd0n1kYr2e
Prioritizing Original News on Facebook

https://t.co/gUWAWGu1TC
Topological Obstructions to Autoencoding

https://t.co/weK3WN6AQm
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint

https://t.co/z8C1xWOz27
Topological Deep Learning: Classification Neural Networks

https://t.co/BK6OEZgjqe
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training

https://t.co/e2rZM5IFaV
A Survey of Machine Learning for Computer Architecture and Systems

https://t.co/AgmBfoG2Ku
Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees

https://t.co/3S57gdjDPe
Few-Shot Graph Learning for Molecular Property Prediction

https://t.co/i6BjHPlKRo
A Koopman Approach to Understanding Sequence Neural Models

https://t.co/NKXebVYsxL
Certified Robustness to Programmable Transformations in LSTMs

https://t.co/rzZrMXfftp
End-2-End COVID-19 Detection from Breath & Cough Audio

https://t.co/mDdDbyJk5a
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies

https://t.co/mV4Gl4VKMz
Context-Aware Prosody Correction for Text-Based Speech Editing

https://t.co/5ZexKNxtxJ
Modeling the Hallucinating Brain: A Generative Adversarial Framework

https://t.co/JaaqAP8kzp
Differentiating Surgeon Expertise Solely by Eye Movement Features

https://t.co/wdkDOooOEz
End-to-End Automatic Speech Recognition with Deep Mutual Learning

https://t.co/rhcJnk4LSf
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels

https://t.co/1mH7eros1q
Large-Context Conversational Representation Learning: Self-Supervised Learning for Conversational Documents

https://t.co/akbrYa9RT9
IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning

https://t.co/Yw92O9Diix
Making the most of your day: online learning for optimal allocation of time

https://t.co/zaWvxI4IId
Learning the Noise of Failure: Intelligent System Tests for Robots

https://t.co/H8XgGCjcEW
Axial Residual Networks for CycleGAN-based Voice Conversion

https://t.co/pONkkt3VH1
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining

https://t.co/PQUEl5yhoL
Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet

https://t.co/0BUklyDcgQ
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images

https://t.co/ALgZlH3etJ
Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey

https://t.co/TdbFrPwsIP
Hierarchical Transformer-based Large-Context End-to-end ASR with Large-Context Knowledge Distillation

https://t.co/GGUpwmvC48
Self-Supervised Features Improve Open-World Learning

https://t.co/Q2xNLyfJW6
A Data Quality-Driven View of MLOps

https://t.co/eQKhvYhUGI
How to Learn when Data Reacts to Your Model: Performative Gradient Descent

https://t.co/QN4iO6kj4b
Learning Student-Friendly Teacher Networks for Knowledge Distillation

https://t.co/DgKFAF1V1V
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent

https://t.co/4NbcthTmEm
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

https://t.co/lnKWDTeh0B
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning

https://t.co/MrbgPYe3h0
Guided Interpolation for Adversarial Training

https://t.co/7k6Hck9ByS
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification

https://t.co/pZaKRrybX8
Perceptually Constrained Adversarial Attacks

https://t.co/6fQi3Z3PAG
Machine Learning Methods for the Design and Operation of Liquid Rocket Engines -- Research Activities at the DLR Institute of Space Propulsion

https://t.co/g48JL4vPPo
CATE: Computation-aware Neural Architecture Encoding with Transformers

https://t.co/4GANBBXbEB
Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices

https://t.co/AgB279ov90
CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Accelerator

https://t.co/KdRZEfjYZZ
Online Apprenticeship Learning

https://t.co/5yFlv6jPQc
Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity Utilization

https://t.co/87a52OkRCn
Machine Learning for Mechanical Ventilation Control

https://t.co/fCD6PZsg92
Towards automatic extraction and validation of on-street parking spaces using park-out events data

https://t.co/2s0Gww6xOj
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives

https://t.co/twjVSW3DlA
How Convolutional Neural Networks Deal with Aliasing

https://t.co/Xk7kHhbs0l
Detection and severity classification of COVID-19 in CT images using deep learning

https://t.co/zOsH8AKwDT
Cancer Gene Profiling through Unsupervised Discovery

https://t.co/zjkIQLWbB8
Generating 3D structures from a 2D slice with GAN-based dimensionality expansion

https://t.co/sO53SsXarN
Accelerating COVID-19 research with graph mining and transformer-based learning

https://t.co/Rnf0Ny8x2Y
UserReg: A Simple but Strong Model for Rating Prediction

https://t.co/WTWRJe6qFO
Certifiably Robust Variational Autoencoders

https://t.co/yJILKtrZAd
Confidence-Aware Learning Assistant

https://t.co/1HWHeg6I7V
Vehicle to Vehicle (V2V) Communication Protocol: Components, Benefits, Challenges, Safety and Machine Learning Applications

https://t.co/365f93sRgS
Query-by-Example Keyword Spotting system using Multi-head Attention and Softtriple Loss

https://t.co/T8DvRUxwbS
Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms

https://t.co/rsu2GF9Ufo
Saliency-Aware Class-Agnostic Food Image Segmentation

https://t.co/6XwYnXeRfQ
Representing Alzheimer's Disease Progression via Deep Prototype Tree

https://t.co/I7V2BZnkuF
Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR

https://t.co/WDiLhG5kre
VIPPrint: A Large Scale Dataset of Printed and Scanned Images for Synthetic Face Images Detection and Source Linking

https://t.co/Qg0tFYzgI4
INSTA-YOLO: Real-Time Instance Segmentation

https://t.co/temd1GTKUg
DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting

https://t.co/18A3HP8zfw
A model for traffic incident prediction using emergency braking data

https://t.co/DbcuGFZSK7
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning

https://t.co/ddE1rzSbR9
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

https://t.co/m38h270ytx
Neural Architecture Search as Program Transformation Exploration

https://t.co/Xa8husAHix
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective

https://t.co/PpGmmXgzRV
Broad-UNet: Multi-scale feature learning for nowcasting tasks

https://t.co/8DiCf40AVw
What does LIME really see in images?

https://t.co/sGAaD331kd
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction

https://t.co/wBYJuYuW7F
Deep Reinforcement Learning for Backup Strategies against Adversaries

https://t.co/umrehSyR0G
Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders

https://t.co/2OTRj0jL5x
Bayesian Neural Network Priors Revisited

https://t.co/8CC4eC64bG
Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images

https://t.co/iupCTtwqfo
Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of GBM: Towards a Standardized Model for Clinical Implementation

https://t.co/2OUySQbMMF
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding

https://t.co/G4zmOU6gBt
A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones

https://t.co/36LhXJkfKz
Content-Aware Speaker Embeddings for Speaker Diarisation

https://t.co/4dMtS1Z7Ba
Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset

https://t.co/AqIlgUBtbO
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier

https://t.co/M5tX4C1uvO
Annotation Cleaning for the MSR-Video to Text Dataset

https://t.co/cBQcvrZmkv
Data Analytics and Machine Learning Methods, Techniques and Tool for Model-Driven Engineering of Smart IoT Services

https://t.co/dnkaAUxbE6
Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia

https://t.co/PFad4l7j7O
Contrastive Unsupervised Learning for Speech Emotion Recognition

https://t.co/2n55JXA6mS
Personalized Visualization Recommendation

https://t.co/Xo37595w1J
On Automatic Parsing of Log Records

https://t.co/sDoZtEPhMs
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multimodal Data

https://t.co/1Jd7H6bQd0
COVID-19 detection from scarce chest x-ray image data using deep learning

https://t.co/x7r5IJ3dSx
Deep Gait Recognition: A Survey

https://t.co/89aFNgWBF8
StablePose: Learning 6D Object Poses from Geometrically Stable Patches

https://t.co/EWOtKiBQ2s
HVAQ: A High-Resolution Vision-Based Air Quality Dataset

https://t.co/6Flz0Uc0Of
HandTailor: Towards High-Precision Monocular 3D Hand Recovery

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Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes

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Mobile Computational Photography: A Tour

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One-shot action recognition towards novel assistive therapies

https://t.co/QtCRtssIWS
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

https://t.co/SubgUHwjki
Biometrics in the Era of COVID-19: Challenges and Opportunities

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Automatic Face Understanding: Recognizing Families in Photos

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Crop mapping from image time series: deep learning with multi-scale label hierarchies

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SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition

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Active Face Frontalization using Commodity Unmanned Aerial Vehicles

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Shape-Tailored Deep Neural Networks

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A Review of Testing Object-Based Environment Perception for Safe Automated Driving

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Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies

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Instance Localization for Self-supervised Detection Pretraining

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Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation

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Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries

https://t.co/4VTzNk4gfO
LEAD: LiDAR Extender for Autonomous Driving

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Feature Pyramid Network with Multi-Head Attention for Se-mantic Segmentation of Fine-Resolution Remotely Sensed Im-ages

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MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN

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PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume

https://t.co/V2ZkI520om
Hough2Map -- Iterative Event-based Hough Transform for High-Speed Railway Mapping

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A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction

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OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving

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Generation for adaption: a Gan-based approach for 3D Domain Adaption inPoint Cloud

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Capturing Detailed Deformations of Moving Human Bodies

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3D Fully Convolutional Neural Networks with Intersection Over Union Loss for Crop Mapping from Multi-Temporal Satellite Images

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Naturalizing Neuromorphic Vision Event Streams Using GANs

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ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations

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TransGAN: Two Transformers Can Make One Strong GAN

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Robust Lane Detection via Expanded Self Attention

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CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation

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Learning Speech-driven 3D Conversational Gestures from Video

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Plug-and-Play external and internal priors for image restoration

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Multi-Texture GAN: Exploring the Multi-Scale Texture Translation for Brain MR Images

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FastHand: Fast Hand Pose Estimation From A Monocular Camera

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Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

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Collaborative Intelligence: Challenges and Opportunities

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Efficient Conditional GAN Transfer with Knowledge Propagation across Classes

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End-to-end Audio-visual Speech Recognition with Conformers

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Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance

https://t.co/7fkOjPyrap
Outdoor inverse rendering from a single image using multiview self-supervision

https://t.co/JlPqOVow2U
K-Hairstyle: A Large-scale Korean hairstyle dataset for virtual hair editing and hairstyle classification

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A Generative Model for Hallucinating Diverse Versions of Super Resolution Images

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Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations

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Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization

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Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data

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@threadreaderapp unroll

More from Business

Anurag Singh
Anurag Singh
@anuragsingh_as
#PolicybazaarIPO Long thread: There is monetary printing by RBI, there is lending by banks & finally there is the Indian IPO. “Foreign owned” company with ~1 Bn investment is selling “Indian” unicorn to “savvy” Indians for $ 6.2 Bn. Want to know how this printing works? Let’s go-

The basics: Rs 6017 Cr being raised by new shares (Rs 3750) & re-selling (Rs 2267). Face value Rs 2 offered at Rs ~1000 per share is one of a kind. Who decides the price? Examine the valuation ladder below.
With ~$ 150 Mn invested till 2017, we see $ 525 Mn rushes in after 2018


So, a company valued $1 Bn in 2018 & $ 1.5 Bn in 2019 by key investors like Tencent, suddenly “needs money” in March 2021. Falcon Edge “invests” all of $ 75 Mn in March at valuation of $ 2.65 Bn.
Enter IPO bankers a couple of months later & they value the company at $ 6.2 Bn

Why does PolicyBazaar need $ 75 Mn just 6 months before IPO & give away 2.5 times in returns? And it doesn’t even use that money as the B/S reflects appx Rs 1000 Cr in cash lying around.
What kind of a favor is that? Why do they need US investment bank for this just before IPO?

Notice 50% rise in shareholding of promotors here & a 1: 500 bonus share issue. After all, how do you print money & still keep share price at “reasonable” Rs 1000?
Without bonus issue in June 2021, each share would have costed Rs 50,000. Heard of circular valuation?
BUSINESS , POLICYBAZAAR
Mario \u201cI have a model for that\u201d Platt
Mario “I have a model ...
@madplatt
Compliance is fundamentally at odds with innovation and continuous improvement

Compliance tends to constrain operations to narrow sets of approved sequences of tasks as the means to assure the secure attainment of certain business outcomes. But at what cost ?

🧵

Operational practices have an emergent nature to them. They’re affected by people, their expertise, their relationships, their team goals, role perceptions and also member needs as humans and professionals.
In this entangled mess of variables, aspects practice-as-done are

Constantly morphed as a response to economic pressures (deadlines, business demands), workload demands (as people tend to automate or agree patterns to reduce cognitive load of tasks and become more efficient) and understanding of safety and security related barriers.

All of these tend to be fluid and non fixed. In this continuous interaction with the environment and different pressures acting on it, there are numerous opportunities for improvements which have local relevance and emerge out of local needs and interactions of elements. However

In order to do so, and to support innovation and continuous improvement the practices need to have a requisite level of variability so practitioners exercise their Fingerspitzengefühl (fingertip feel) for what works and what doesn’t, within their constraints and pressures
BUSINESS
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Madima
Madima
@MaanoMadima
Below are some of the most interesting business stories I came across in 2020.

P. S The list is not exhaustive.

1) PSG unbundled it's 28.1% ownership of Capitec.

2) MTN sold a minority stake in Jumia Technologies for R2.3-billion.

3) Dischem has completed the acquisition of Medicare Health for R282million

4) TFG bought 381 Jet stores from Edcon for R480m.

5) Capitec entered into a partnership with SA Home Loans to offer home loans.

6) Food Lover’s Market has started closing outlets in Zambia.

7) Sasol sold 50% of the "base chemicals division" at Lake Charles which equates to ~25% of total Lake Charles project. Sasol will still retain around ~75% of the total Lake Charles Chemical Project.

8) Sasol agreed to sell its 50% stake in Gemini for R6.2bn.

9) Tongaat Hulett sold its starch and glucose business to Barloworld for R5.26bn. The group has used R4.64bn of this to pay down debt.

10) The Competition Commission approved Nimble Fund 1’s intention to acquire Edcon Book Debts.

11) Greg Maloka has decided to resign from Kaya.

12) Ethos Private Equity has won a contract with Ninety One to take on an advisory contract for Ninety One's Africa Private Equity funds.

Ninety One will maintain control and oversight of the portfolio, while Ethos will manage the assets

13) Bidvest Wits sold to TTM
BUSINESS
Pat Oshaw
Pat Oshaw
@ptoshee
This is a GREAT argument to pull up when talking to people about minimum wage. Some others nested below


A large number of new jobs being created are minimum to low wage, so looking for a new job generally won’t increase pay.

Raising minimum wage helps things not directly related.

Helps Infant mortality? Yup.

Lowers Suicide? Yup.

Reduce smoking rates? You bet.

It also boosts the local economy! Minimum to low wage earners spend more % of their money, so an increase means more is spent, often in community!

Low paying jobs are often in sectors which would gain from this. More people spending money in your shop makes your business more money! Now you have more profits and increased labor costs are covered.
BUSINESS
Irina Tsukerman
Irina Tsukerman
@irinatsukerman
Thread:
An explosive new criminal complaint against Martin Inacker, the former CEO of @wpmeurocom in #Germany shows Inacker potentially double crossing his #Saudi clients by colluding with #Qatar to cover up Doha's #Hezbullah's sponsorship in exchange for hush money.


According to the complaint, Inacker had kept the terms of his initial agreement with the #Saudi Ministry of Information (following his work with the Saudi Embassy in Berlin) secret from @wmpeurocom 's Board of Directors.

He had used unethical methods to promote a hyperbolized, if not outright mendacious, brochure that was supposed to improve the image of #KSA and the royal family. He had promised a list of high level political and business context to the Saudis as part of his business.

A strategy paper developed by Inacker was leaked to the papers showing unethical, and possibly illegal pressure on ten journalists to switch their "tone" on #KSA as a result of Inacker's lobbying efforts.

However, despite throwing these journalists under the bus, by his own admission Inacker did not appear to have succeeded in pressuring them to "switch their tone". This shows Inacker's duplicity: 1) he lied to his Saudi clients about his alleged success.
BUSINESS

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Panic! in the Discord
Panic! in the Discord
@discord__panic
Neo-nazi group #PatriotFront held a photo op in #Chicago last weekend & is currently marching around #DC so it's as good time as any to compile a list of their identified members for folks to watch for

Who are these chuds?

Patriot Front broke away from white nationalist org Vanguard America following #unitetheright in #charlottesville after James Alex Fields was seen with a VA shield before driving his car into a crowd, murdering Heather Heyer & injuring dozens of others

Syed Robbie Javid a.k.a. Sayed Robbie Javid or Robbie Javid of Alexandria,


Antoine Bernard Renard (a.k.a. “Charlemagne MD” on Discord) from Rockville, MD.

https://t.co/ykEjdZFDi6


Brandon Troy Higgs, 25, from Reisterstown,
EXTREMISM
Chris Herd
Chris Herd
@chris_herd
I've spoken to 1,500+ people about remote work in the last 9 months

A few predictions of what is likely to emerge before 2030

[ a thread ] 💻🏠🌍

🚜 Rural Living: World-class people will move to smaller cities, have a lower cost of living & higher quality of life

These regions must innovate quickly to attract that wealth. Better schools, faster internet connections are a must

⏰Asynchronous Work: Offices are instantaneous gratification distraction factories where synchronous work makes it impossible to get stuff done

Tools that enable asynchronous work are the most important thing globally remote teams need. A lot of startups will try to tackle this

⚽️Hobbie Renaissance: Remote working will lead to a rise in people participating in hobbies and activities which link them to people in their local community

This will lead to deeper, more meaningful relationships which overcome societal issues of loneliness and issolation

🌍Diversity & Inclusion: The most diverse and inclusive teams in history will emerge rapidly

Companies who embrace it have a first-mover advantage to attract great talent globally. Companies who don't will lose their best people to their biggest competitors
REMOTE WORK
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Vibhu Vashisth
Vibhu Vashisth
@VIBHU_Tweet
शमशान में जब महर्षि दधीचि के मांसपिंड का दाह संस्कार हो रहा था तो उनकी पत्नी अपने पति का वियोग सहन नहीं कर पायी और पास में ही स्थित विशाल पीपल वृक्ष के कोटर में अपने तीन वर्ष के बालक को रख के स्वयं चिता पे बैठ कर सती हो गयी ।इस प्रकार ऋषी दधीचि और उनकी पत्नी की मुक्ति हो गयी।


परन्तु पीपल के कोटर में रखा बालक भूख प्यास से तड़पने लगा। जब कुछ नहीं मिला तो वो कोटर में पड़े पीपल के गोदों (फल) को खाकर बड़ा होने लगा। कालान्तर में पीपल के फलों और पत्तों को खाकर बालक का जीवन किसी प्रकार सुरक्षित रहा।

एक दिन देवर्षि नारद वहां से गुजर रहे थे ।नारद ने पीपल के कोटर में बालक को देख कर उसका परिचय मांगा -
नारद बोले - बालक तुम कौन हो?
बालक - यही तो मैं भी जानना चहता हूँ ।
नारद - तुम्हारे जनक कौन हैं?
बालक - यही तो मैं भी जानना चाहता हूँ ।

तब नारद ने आँखें बन्द कर ध्यान लगाया ।


तत्पश्चात आश्चर्यचकित हो कर बालक को बताया कि 'हे बालक! तुम महान दानी महर्षि दधीचि के पुत्र हो । तुम्हारे पिता की अस्थियों का वज्रास्त्र बनाकर ही देवताओं ने असुरों पर विजय पायी थी।तुम्हारे पिता की मृत्यु मात्र 31 वर्ष की वय में ही हो गयी थी'।

बालक - मेरे पिता की अकाल मृत्यु का क्या कारण था?
नारद - तुम्हारे पिता पर शनिदेव की महादशा थी।
बालक - मेरे उपर आयी विपत्ति का कारण क्या था?
नारद - शनिदेव की महादशा।
इतना बताकर देवर्षि नारद ने पीपल के पत्तों और गोदों को खाकर बड़े हुए उस बालक का नाम पिप्पलाद रखा और उसे दीक्षित किया।
ALL
:Billy-Don :I-AM
:Billy-Don :I-AM
@ValiantThor12
1) 💜 THE EVENT 2020 - THE 1221 MULTIDIMENSIONAL STARGATE 💜
PLEIADIAN LIGHT FORCES TRANSMISSIONS - 12182020
CHANNELED BY MICHAEL LOVE
A SPECIAL MESSAGE TO THE STARSEEDS OF NEW EARTH, FOR IMMEDIATE PLANETARY BROADCAST…
PRELUDE:
THE FOLLOWING INFORMATION IS DERIVED FROM DIRECT,

2) DECODED ETHERIC TRANSMISSIONS FROM BENEVOLENT LIGHT FORCES DOCKED IN EARTH’S SOLAR SYSTEM AND SOME OF THE DATA COMES DIRECTLY FROM CERTAIN INSIDE EARTH ALLIANCE MEMBERS KNOWN AS THE WHITE HATS, AND THE GREAT WHITE BROTHERHOOD STRATEGICALLY PLACED IN KEY POSITIONS OF POWER BY

3) THE GALACTICS ON THE SURFACE OF PLANET EARTH!
THE DATA HEREIN IS RECEIVED AND TRANSMITTED FROM THE 5D LEVEL! THIS MESSAGE IS INTENDED ONLY FOR THE STARSEEDS OF EARTH!
GREAT ONES,
WE HAVE SPOKEN OF THE EVENT 2020 THIS ENTIRE EARTH YEAR AS ALL PLEIADIAN AND EARTH ALLIANCE INTEL

4) SHOWS INDEED THAT A MAJOR COSMIC EVENT IS GOING TO OCCUR IN ONLY 3 EARTH DAYS FROM NOW!
ON DECEMBER 21, 2020, A MAGNIFICENT CELESTIAL STARGATE WILL OPEN IN THE HEAVENS WHICH MARKS THE DAWN OF THE NEW GOLDEN AGE OF AQUARIUS AND THE 1ST DAY OF THE SATYUGA OF CENTRAL SUNLIGHT!

5) IN THE MORNING HOURS OF THE WINTER SOLSTICE, THE LONG-AWAITED NEW ERA OF LIGHT WILL FINALLY DAWN AND THE NEW 5D EARTH WILL BE BORN!
THE COSMIC GATES WILL BE FULLY OPENED ON 12/21/20 ALLOWING POWERFUL STREAMS OF COSMIC LIGHT TO ENTER EARTH'S ATMOSPHERE, UPGRADING ALL SENTIENT
ECONOMY
\U0001f1ee\U0001f1f3Sonal \U0001f1ee\U0001f1f3
🇮🇳Sonal 🇮🇳...
@Dharma_Vaarta
Bharat: Advancement of earth’s earliest civilization

Glorious Vedic Architecture and Temple

Architecture in India was an extremely rich form of expression and highly developed science, with a deep heritage of spirituality in it. #FreeHinduTemple


The centre of all architectural development was the temple and temple or Mandir was the earthly home of God, and like the launching pad for the devotee’s consciousness to soar toward the Divine and the spiritual world.


The murti or deity of the Divine would be placed in the temple sanctum, around which all temple activity would revolve.

Such buildings were often elaborately decorated with stone, wood, plaster, etc. and carved or cut to depict the stories from the Puranas or other sacred texts


Temples were always the centre of religious, social and educational activities, practically more so in
ancient times than today.

During a span of more than two thousand years, various dynasties were known for constructing glorious temples,


some of which include the Mauryan, Ashoka, Gupta, Satavahana, Chedi, Chandella, Chalukya, Solanki, Pallava, Shola, Hoysala, Vijayanagar, and others.

Many of these temples remain beautiful architectural wonders today.
ALL , HISTORY