Thread by @stephenwithavee

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

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Corporate Social Responsibility and Corporate Governance: A cognitive approach

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The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?

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Sustainable and Resilient Systems for Intergenerational Justice

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A Core of E-Commerce Customer Experience based on Conversational Data using Network Text Methodology

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Deep Learning for Market by Order Data

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The economic dependency of the Bitcoin security

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On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning

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LATE for History

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

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Integrating Floor Plans into Hedonic Models for Rent Price Appraisal

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Personality Traits and the Marriage Market

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Time-varying properties of asymmetric volatility and multifractality in Bitcoin

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REST: Relational Event-driven Stock Trend Forecasting

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How Misuse of Statistics Can Spread Misinformation: A Study of Misrepresentation of COVID-19 Data

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Aggregate Modeling and Equilibrium Analysis of the Crowdsourcing Market for Autonomous Vehicles

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The corruptive force of AI-generated advice

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The Golden Age of the Mathematical Finance

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Deep Reinforcement Learning for Portfolio Optimization using Latent Feature State Space (LFSS) Module

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Hedging of Financial Derivative Contracts via Monte Carlo Tree Search

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Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football

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SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

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Clockwork Variational Autoencoders for Video Prediction

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Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays

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Fake News Detection: a comparison between available Deep Learning techniques in vector space

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ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models

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L2E: Learning to Exploit Your Opponent

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A Study on the Manifestation of Trust in Speech

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AI Can Stop Mass Shootings, and More

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Reinforcement Learning for Datacenter Congestion Control

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FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud

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Training Microsoft News Recommenders with Pretrained Language Models in the Loop

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Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks

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From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention

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Entity-level Factual Consistency of Abstractive Text Summarization

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Understanding and Creating Art with AI: Review and Outlook

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Spacewalker: Rapid UI Design Exploration Using Lightweight Markup Enhancement and Crowd Genetic Programming

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Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters

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Towards AIOps in Edge Computing Environments

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BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation

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Genetically Optimized Prediction of Remaining Useful Life

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An Objective Laboratory Protocol for Evaluating Cognition of Non-Human Systems Against Human Cognition

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Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan

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Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare

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Towards the Right Kind of Fairness in AI

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Sparsely Factored Neural Machine Translation

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I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion

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A Graph Neural Network to Model User Comfort in Robot Navigation

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Using exoskeletons to assist medical staff during prone positioning of mechanically ventilated COVID-19 patients: a pilot study

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Autonomous Navigation in Dynamic Environments: Deep Learning-Based Approach

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Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study

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ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens

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Fully General Online Imitation Learning

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Temporal Memory Attention for Video Semantic Segmentation

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On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification

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Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters

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Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images

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Mode-Assisted Joint Training of Deep Boltzmann Machines

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Integrating Pre-trained Model into Rule-based Dialogue Management

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Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments

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TableLab: An Interactive Table Extraction System with Adaptive Deep Learning

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A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles

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The Yin-Yang dataset

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Music Harmony Generation, through Deep Learning and Using a Multi-Objective Evolutionary Algorithm

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ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks

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GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software

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Engineering Education in the Age of Autonomous Machines

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What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research

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Hierarchical VAEs Know What They Don't Know

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An AutoML-based Approach to Multimodal Image Sentiment Analysis

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Boosting Deep Transfer Learning for COVID-19 Classification

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Steadily Learn to Drive with Virtual Memory

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On the use of generative deep neural networks to synthesize artificial multichannel EEG signals

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EDITH :ECG biometrics aided by Deep learning for reliable Individual auTHentication

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Training Stacked Denoising Autoencoders for Representation Learning

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TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

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Training Larger Networks for Deep Reinforcement Learning

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Anomalous Sound Detection with Machine Learning: A Systematic Review

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How RL Agents Behave When Their Actions Are Modified

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Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems

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Player-Centered AI for Automatic Game Personalization: Open Problems

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Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon

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AI Ethics Needs Good Data

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Why Talking about ethics is not enough: a proposal for Fintech's AI ethics

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Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels

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Fast End-to-End Speech Recognition via a Non-Autoregressive Model and Cross-Modal Knowledge Transferring from BERT

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CHARET: Character-centered Approach to Emotion Tracking in Stories

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DAC: Deep Autoencoder-based Clustering, a General Deep Learning Framework of Representation Learning

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Reinforcement Learning for IoT Security: A Comprehensive Survey

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Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS

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Domain Adversarial Reinforcement Learning

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Learning Intents behind Interactions with Knowledge Graph for Recommendation

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Adversarial defense for automatic speaker verification by cascaded self-supervised learning models

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PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

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Interactive Learning from Activity Description

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DeepRA: Predicting Joint Damage From Radiographs Using CNN with Attention

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Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning

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Multi-class Generative Adversarial Nets for Semi-supervised Image Classification

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Wasserstein Proximal of GANs

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Universal Adversarial Perturbations for Malware

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Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution

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A novel method for object detection using deep learning and CAD models

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Intelligent Software Web Agents: A Gap Analysis

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VitrAI -- Applying Explainable AI in the Real World

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Rethinking Eye-blink: Assessing Task Difficulty through Physiological Representation of Spontaneous Blinking

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Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network

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Improving Object Detection in Art Images Using Only Style Transfer

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Transformer Language Models with LSTM-based Cross-utterance Information Representation

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A Decentralized Approach Towards Responsible AI in Social Ecosystems

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DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals

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Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

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A Machine Learning model of the combination of normalized SD1 and SD2 indexes from 24h-Heart Rate Variability as a predictor of myocardial infarction

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Recurrent Rational Networks

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Robust PDF Document Conversion Using Recurrent Neural Networks

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VAE Approximation Error: ELBO and Conditional Independence

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DINO: A Conditional Energy-Based GAN for Domain Translation

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A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space

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Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder

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Improving Hierarchical Adversarial Robustness of Deep Neural Networks

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Domain Adaptation for Medical Image Analysis: A Survey

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Regular Expressions for Fast-response COVID-19 Text Classification

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Transfer Learning for Linear Regression: a Statistical Test of Gain

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DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

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Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks

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NFCNN: Toward a Noise Fusion Convolutional Neural Network for Image Denoising

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A Comprehensive Review of Deep Learning-based Single Image Super-resolution

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Dynamic Memory based Attention Network for Sequential Recommendation

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Sparse-Interest Network for Sequential Recommendation

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ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks

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Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm

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Quiz-Style Question Generation for News Stories

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TapNet: The Design, Training, Implementation, and Applications of a Multi-Task Learning CNN for Off-Screen Mobile Input

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Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids

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End-to-end learnable EEG channel selection with deep neural networks

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How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models

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POLA: Online Time Series Prediction by Adaptive Learning Rates

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Graph Learning with 1D Convolutions on Random Walks

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Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE

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Rethinking Co-design of Neural Architectures and Hardware Accelerators

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Centroid Transformers: Learning to Abstract with Attention

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Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks

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Re-identification of Individuals in Genomic Datasets Using Public Face Images

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Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications

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Globally-Robust Neural Networks

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Scaling Neuroscience Research using Federated Learning

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Complex Momentum for Learning in Games

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Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection

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DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection

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Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics

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Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder

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CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings

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Coupled Feature Learning for Multimodal Medical Image Fusion

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LambdaNetworks: Modeling Long-Range Interactions Without Attention

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Evolving GAN Formulations for Higher Quality Image Synthesis

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End-to-end lyrics Recognition with Voice to Singing Style Transfer

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Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics

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Prioritizing Original News on Facebook

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Topological Obstructions to Autoencoding

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Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint

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Topological Deep Learning: Classification Neural Networks

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GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training

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A Survey of Machine Learning for Computer Architecture and Systems

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Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees

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Few-Shot Graph Learning for Molecular Property Prediction

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A Koopman Approach to Understanding Sequence Neural Models

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Certified Robustness to Programmable Transformations in LSTMs

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End-2-End COVID-19 Detection from Breath & Cough Audio

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Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies

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Context-Aware Prosody Correction for Text-Based Speech Editing

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Modeling the Hallucinating Brain: A Generative Adversarial Framework

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Differentiating Surgeon Expertise Solely by Eye Movement Features

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End-to-End Automatic Speech Recognition with Deep Mutual Learning

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Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels

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Large-Context Conversational Representation Learning: Self-Supervised Learning for Conversational Documents

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IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning

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Making the most of your day: online learning for optimal allocation of time

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Learning the Noise of Failure: Intelligent System Tests for Robots

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Axial Residual Networks for CycleGAN-based Voice Conversion

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Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining

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Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet

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Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images

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Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey

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Hierarchical Transformer-based Large-Context End-to-end ASR with Large-Context Knowledge Distillation

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Self-Supervised Features Improve Open-World Learning

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A Data Quality-Driven View of MLOps

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How to Learn when Data Reacts to Your Model: Performative Gradient Descent

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Learning Student-Friendly Teacher Networks for Knowledge Distillation

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GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent

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Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

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Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning

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Guided Interpolation for Adversarial Training

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CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification

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Perceptually Constrained Adversarial Attacks

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Machine Learning Methods for the Design and Operation of Liquid Rocket Engines -- Research Activities at the DLR Institute of Space Propulsion

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CATE: Computation-aware Neural Architecture Encoding with Transformers

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Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices

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CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Accelerator

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Online Apprenticeship Learning

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Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity Utilization

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Machine Learning for Mechanical Ventilation Control

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Towards automatic extraction and validation of on-street parking spaces using park-out events data

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Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives

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How Convolutional Neural Networks Deal with Aliasing

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Detection and severity classification of COVID-19 in CT images using deep learning

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Cancer Gene Profiling through Unsupervised Discovery

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Generating 3D structures from a 2D slice with GAN-based dimensionality expansion

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Accelerating COVID-19 research with graph mining and transformer-based learning

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UserReg: A Simple but Strong Model for Rating Prediction

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Certifiably Robust Variational Autoencoders

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Confidence-Aware Learning Assistant

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Vehicle to Vehicle (V2V) Communication Protocol: Components, Benefits, Challenges, Safety and Machine Learning Applications

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Query-by-Example Keyword Spotting system using Multi-head Attention and Softtriple Loss

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Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms

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Saliency-Aware Class-Agnostic Food Image Segmentation

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Representing Alzheimer's Disease Progression via Deep Prototype Tree

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Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR

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VIPPrint: A Large Scale Dataset of Printed and Scanned Images for Synthetic Face Images Detection and Source Linking

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INSTA-YOLO: Real-Time Instance Segmentation

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DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting

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A model for traffic incident prediction using emergency braking data

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MetaGrad: Adaptation using Multiple Learning Rates in Online Learning

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Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

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Neural Architecture Search as Program Transformation Exploration

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Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective

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Broad-UNet: Multi-scale feature learning for nowcasting tasks

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What does LIME really see in images?

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Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction

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Deep Reinforcement Learning for Backup Strategies against Adversaries

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Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders

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Bayesian Neural Network Priors Revisited

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Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images

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Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of GBM: Towards a Standardized Model for Clinical Implementation

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Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding

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A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones

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Content-Aware Speaker Embeddings for Speaker Diarisation

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Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset

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Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier

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Annotation Cleaning for the MSR-Video to Text Dataset

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Data Analytics and Machine Learning Methods, Techniques and Tool for Model-Driven Engineering of Smart IoT Services

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Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia

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Contrastive Unsupervised Learning for Speech Emotion Recognition

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Personalized Visualization Recommendation

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On Automatic Parsing of Log Records

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Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multimodal Data

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COVID-19 detection from scarce chest x-ray image data using deep learning

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Deep Gait Recognition: A Survey

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StablePose: Learning 6D Object Poses from Geometrically Stable Patches

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HVAQ: A High-Resolution Vision-Based Air Quality Dataset

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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

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Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

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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

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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

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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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Improved Bengali Image Captioning via deep convolutional neural network based encoder-decoder model

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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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Fast, Accurate Barcode Detection in Ultra High-Resolution Images

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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

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Outdoor inverse rendering from a single image using multiview self-supervision

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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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