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?!

Options on Bonds: Implied Volatilities from Affine Short-Rate Dynamics

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How does stock market co-move with domestic economic policy uncertainty? New evidence from symmetric thermal optimal path method

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Engines of Power: Electricity, AI, and General-Purpose Military Transformations

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The Russian practice of applying cluster approach in regional development

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What Data Augmentation Do We Need for Deep-Learning-Based Finance?

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Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification

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3D Tensor-based Deep Learning Models for Predicting Option Price

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On the "mementum" of Meme Stocks

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On the Stratification of Product Portfolios

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Unbiased Optimal Stopping via the MUSE

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Combinatorial Algorithms for Matching Markets via Nash Bargaining: One-Sided, Two-Sided and Non-Bipartite

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Improving multi-speaker TTS prosody variance with a residual encoder and normalizing flows

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U2++: Unified Two-pass Bidirectional End-to-end Model for Speech Recognition

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MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training

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PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition

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Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights

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Time-Frequency Phase Retrieval for Audio -- The Effect of Transform Parameters

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A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition

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Unsupervised Automatic Speech Recognition: A Review

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RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer

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SpeechBrain: A General-Purpose Speech Toolkit

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Neural Speaker Embeddings for Ultrasound-based Silent Speech Interfaces

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PANACEA cough sound-based diagnosis of COVID-19 for the DiCOVA 2021 Challenge

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NWT: Towards natural audio-to-video generation with representation learning

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Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition

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Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention

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Byakto Speech: Real-time long speech synthesis with convolutional neural network: Transfer learning from English to Bangla

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Impact of data-splits on generalization: Identifying COVID-19 from cough and context

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Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions

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Speech BERT Embedding For Improving Prosody in Neural TTS

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End-to-End Speaker Diarization Conditioned on Speech Activity and Overlap Detection

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Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

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Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning

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Teaching keyword spotters to spot new keywords with limited examples

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A Novel Semi-supervised Framework for Call Center Agent Malpractice Detection via Neural Feature Learning

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Classification of Audio Segments in Call Center Recordings using Convolutional Recurrent Neural Networks

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A Residual Network based Deep Learning Model for Detection of COVID-19 from Cough Sounds

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Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition

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Space-time Mixing Attention for Video Transformer

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Learning to See by Looking at Noise

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Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning

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Anatomy X-Net: A Semi-Supervised Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification

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CAT: Cross Attention in Vision Transformer

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The 2021 Hotel-ID to Combat Human Trafficking Competition Dataset

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The Medical Segmentation Decathlon

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Face mask detection using convolution neural network

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A Dataset And Benchmark Of Underwater Object Detection For Robot Picking

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SVMA: A GAN-based model for Monocular 3D Human Pose Estimation

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Supervising the Transfer of Reasoning Patterns in VQA

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Super-Resolution Image Reconstruction Based on Self-Calibrated Convolutional GAN

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RLCorrector: Reinforced Proofreading for Connectomics Image Segmentation

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Plan2Scene: Converting Floorplans to 3D Scenes

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Beyond BatchNorm: Towards a General Understanding of Normalization in Deep Learning

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Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate

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CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19

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Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time

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An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients

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A machine learning pipeline for aiding school identification from child trafficking images

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Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

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ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

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Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition

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Salient Positions based Attention Network for Image Classification

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Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework

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CoAtNet: Marrying Convolution and Attention for All Data Sizes

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Rethink Transfer Learning in Medical Image Classification

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Ex uno plures: Splitting One Model into an Ensemble of Subnetworks

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Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp

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TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising

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Scaling Vision Transformers

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Chasing Sparsity in Vision Transformers: An End-to-End Exploration

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Low-Rank Subspaces in GANs

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Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention

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Stochastic Whitening Batch Normalization

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Contrastive Representation Learning for Hand Shape Estimation

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HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation

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On the use of automatically generated synthetic image datasets for benchmarking face recognition

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LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization

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Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets

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Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback

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Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning

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Multi-dataset Pretraining: A Unified Model for Semantic Segmentation

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Variational AutoEncoder for Reference based Image Super-Resolution

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Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks

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Computer-Assisted Analysis of Biomedical Images

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AutoPtosis

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High Resolution Solar Image Generation using Generative Adversarial Networks

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Drone-based AI and 3D Reconstruction for Digital Twin Augmentation

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Digital Taxonomist: Identifying Plant Species in Citizen Scientists' Photographs

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Unsupervised Action Segmentation for Instructional Videos

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Open source disease analysis system of cactus by artificial intelligence and image processing

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Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer

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Adversarial Attack and Defense in Deep Ranking

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Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition

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Shape As Points: A Differentiable Poisson Solver

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DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI

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A Comprehensive Survey on Image Dehazing Based on Deep Learning

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Exploring to establish an appropriate model for mage aesthetic assessment via CNN-based RSRL: An empirical study

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Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs

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Transformer in Convolutional Neural Networks

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Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction

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MOC-GAN: Mixing Objects and Captions to Generate Realistic Images

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Rethinking Training from Scratch for Object Detection

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Uformer: A General U-Shaped Transformer for Image Restoration

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Referring Transformer: A One-step Approach to Multi-task Visual Grounding

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Using GANs to Augment Data for Cloud Image Segmentation Task

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An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification

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Convolutional Neural Networks with Gated Recurrent Connections

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Multi-Camera Vehicle Counting Using Edge-AI

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Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning

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Points2Polygons: Context-Based Segmentation from Weak Labels Using Adversarial Networks

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Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics

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GAN Cocktail: mixing GANs without dataset access

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Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions

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Towards a Multi-purpose Robotic Nursing Assistant

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Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training

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Understand and Improve Contrastive Learning Methods for Visual Representation: A Review

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Efficient Lottery Ticket Finding: Less Data is More

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SketchGen: Generating Constrained CAD Sketches

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Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories

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Improve the Interpretability of Attention: A Fast, Accurate, and Interpretable High-Resolution Attention Model

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AI Driven Road Maintenance Inspection

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RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving

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Temporally coherent video anonymization through GAN inpainting

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Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation

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X-volution: On the unification of convolution and self-attention

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Learning to Draw: Emergent Communication through Sketching

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SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks

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A Procedural World Generation Framework for Systematic Evaluation of Continual Learning

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CNNs and GANs in MRI-based cross-modality medical image estimation

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Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program

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SCARI: Separate and Conquer Algorithm for Action Rules and Recommendations Induction

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Data Fusion for Deep Learning on Transport Mode Detection: A Case Study

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Verifiable and Compositional Reinforcement Learning Systems

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Causality in Neural Networks -- An Extended Abstract

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Programming Puzzles

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Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature

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AI-enabled Automation for Completeness Checking of Privacy Policies

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Ruddit: Norms of Offensiveness for English Reddit Comments

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Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft

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Artificial Intelligence in Drug Discovery:Applications and Techniques

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GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data

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Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding

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Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data

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Automatic Sexism Detection with Multilingual Transformer Models

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Practical Machine Learning Safety: A Survey and Primer

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A 2020 taxonomy of algorithms inspired on living beings behavior

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Drones for Medical Delivery Considering Different Demands Classes: A Markov Decision Process Approach for Managing Health Centers Dispatching Medical Products

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Curriculum Design for Teaching via Demonstrations: Theory and Applications

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North Carolina COVID-19 Agent-Based Model Framework for Hospitalization Forecasting Overview, Design Concepts, and Details Protocol

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Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations?

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Coarse-to-Fine Curriculum Learning

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Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search

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Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection

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A Survey of Transformers

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Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks

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Identifying Linked Fraudulent Activities Using GraphConvolution Network

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Towards Practical Credit Assignment for Deep Reinforcement Learning

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Virtual Screening of Pharmaceutical Compounds with hERG Inhibitory Activity (Cardiotoxicity) using Ensemble Learning

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Supervised Machine Learning with Plausible Deniability

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Question Generation for Adaptive Education

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RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting

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Batch Normalization Orthogonalizes Representations in Deep Random Networks

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Explainable Artificial Intelligence (XAI) for Increasing User Trust in Deep Reinforcement Learning Driven Autonomous Systems

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A generative model for molecule generation based on chemical reaction trees

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Causal Abstractions of Neural Networks

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Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study

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Diversity driven Query Rewriting in Search Advertising

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Towards robust and domain agnostic reinforcement learning competitions

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SciFive: a text-to-text transformer model for biomedical literature

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Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising

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CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System

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A Pre-training Oracle for Predicting Distances in Social Networks

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PAC Best Arm Identification Under a Deadline

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PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance

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FlexParser -- the adaptive log file parser for continuous results in a changing world

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3D UAV Trajectory and Data Collection Optimisation via Deep Reinforcement Learning

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How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements

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Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction

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Real-Time Cognitive Evaluation of Online Learners through Automatically Generated Questions

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Collaborative Causal Discovery with Atomic Interventions

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Motion Planning Transformers: One Model to Plan Them All

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Do You Listen with One or Two Microphones? A Unified ASR Model for Single and Multi-Channel Audio

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Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants

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Towards Fairness Certification in Artificial Intelligence

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Extreme sparsity gives rise to functional specialization

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NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training

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Using Social Media Background to Improve Cold-start Recommendation Deep Models

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Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

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Self-supervised Dialogue Learning for Spoken Conversational Question Answering

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Winning the War by (Strategically) Losing Battles: Settling the Complexity of Grundy-Values in Undirected Geography

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Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

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A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market

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Does Knowledge Distillation Really Work?

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EventDrop: data augmentation for event-based learning

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Hybrid Machine Learning Forecasts for the UEFA EURO 2020

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Transformed CNNs: recasting pre-trained convolutional layers with self-attention

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GraphiT: Encoding Graph Structure in Transformers

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GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings

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A Neural Tangent Kernel Perspective of GANs

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Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods

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Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective

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MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation

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Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning

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Adaptive machine learning for protein engineering

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StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs

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Reinforcement Learning for Industrial Control Network Cyber Security Orchestration

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XBNet : An Extremely Boosted Neural Network

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Realizing GANs via a Tunable Loss Function

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Pretrained Encoders are All You Need

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Operationalizing Complex Causes: A Pragmatic View of Mediation

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Multistep Electric Vehicle Charging Station Occupancy Prediction using Mixed LSTM Neural Networks

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ChaCha for Online AutoML

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Towards the Memorization Effect of Neural Networks in Adversarial Training

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On the Evolution of Neuron Communities in a Deep Learning Architecture

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Fully differentiable model discovery

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Handcrafted Backdoors in Deep Neural Networks

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Learning to Price Against a Moving Target

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Automatic Generation of Machine Learning Synthetic Data Using ROS

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Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

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The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation

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Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions

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Double Descent and Other Interpolation Phenomena in GANs

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Occode: an end-to-end machine learning pipeline for transcription of historical population censuses

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Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina

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Random Forest classifier for EEG-based seizure prediction

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Cyberbullying Detection Using Deep Neural Network from Social Media Comments in Bangla Language

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Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations

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Adaptive transfer learning

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Property-Aware Robot Object Manipulation: a Generative Approach

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Neural Abstractive Unsupervised Summarization of Online News Discussions

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Personalized Transformer for Explainable Recommendation

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Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration

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Multi-armed Bandit Requiring Monotone Arm Sequences

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Generative Adversarial Networks: A Survey Towards Private and Secure Applications

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On the Expressive Power of Self-Attention Matrices

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Graph Neural Networks in Network Neuroscience

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SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce

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Tabular Data: Deep Learning is Not All You Need

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Distributed Learning and its Application for Time-Series Prediction

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On the Power of Shallow Learning

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A Physics-Informed Deep Learning Paradigm for Traffic State Estimation and Fundamental Diagram Discovery

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Boosting a Model Zoo for Multi-Task and Continual Learning

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PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics

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Encoder-Decoder Neural Architecture Optimization for Keyword Spotting

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A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps

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Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks

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Training Strategies for Deep Learning Gravitational-Wave Searches

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A Computational Model of Representation Learning in the Brain Cortex, Integrating Unsupervised and Reinforcement Learning

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Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps

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Application of neural networks to classification of data of the TUS orbital telescope

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Evaluating State-of-the-Art Classification Models Against Bayes Optimality

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Stein ICP for Uncertainty Estimation in Point Cloud Matching

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Towards an Understanding of Benign Overfitting in Neural Networks

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Machine Learning Based Anxiety Detection in Older Adults using Wristband Sensors and Context Feature

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Lifelong Learning of Hate Speech Classification on Social Media

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SpikePropamine: Differentiable Plasticity in Spiking Neural Networks

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Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions

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Learning Slice-Aware Representations with Mixture of Attentions

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Event Classification with Multi-step Machine Learning

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Deep Contextual Learners for Protein Networks

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Finding and Fixing Spurious Patterns with Explanations

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Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre

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Graph-based Deep Learning for Communication Networks: A Survey

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CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes

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An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment

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A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage

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Ambulatory blood pressure monitoring versus office blood pressure measurement: Are there sex differences?

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Fre-GAN: Adversarial Frequency-consistent Audio Synthesis

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Intelligent Transportation Systems to Mitigate Road Traffic Congestion

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Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation

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Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology

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Adaptive Epidemic Forecasting and Community Risk Evaluation of COVID-19

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