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?!

Fake news, noise, and tenacious Bayesians

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Reactive Power Markets for the Future Grid

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Predicting Credit Risk for Unsecured Lending: A Machine Learning Approach

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Concentrated Liquidity in Automated Market Makers

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Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets

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The Impacts of Mobility on Covid-19 Dynamics: Using Soft and Hard Data

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Capital Demand Driven Business Cycles: Mechanism and Effects

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Uncertainty, volatility and the persistence norms of financial time series

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SERAB: A multi-lingual benchmark for speech emotion recognition

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GANtron: Emotional Speech Synthesis with Generative Adversarial Networks

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WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

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A Cough-based deep learning framework for detecting COVID-19

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Attention is All You Need? Good Embeddings with Statistics are enough: Audio Understanding WITHOUT Convolutions/Transformers/BERTs/Mixers/Attention/RNNs or ....

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Transferring Voice Knowledge for Acoustic Event Detection: An Empirical Study

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StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis

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Applying Phonological Features in Multilingual Text-To-Speech

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Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0

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Is Attention always needed? A Case Study on Language Identification from Speech

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Cloning one's voice using very limited data in the wild

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End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks

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Detecting Autism Spectrum Disorders with Machine Learning Models Using Speech Transcripts

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Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR

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Integrating Categorical Features in End-to-End ASR

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EdiTTS: Score-based Editing for Controllable Text-to-Speech

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Spell my name: keyword boosted speech recognition

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Voice Aging with Audio-Visual Style Transfer

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Improving Real-time Score Following in Opera by Combining Music with Lyrics Tracking

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Adversarial Attacks on Machinery Fault Diagnosis

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Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction

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3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video

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Neural Pitch-Shifting and Time-Stretching with Controllable LPCNet

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Sound Event Detection Transformer: An Event-based End-to-End Model for Sound Event Detection

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Late reverberation suppression using U-nets

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Building a Noisy Audio Dataset to Evaluate Machine Learning Approaches for Automatic Speech Recognition Systems

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On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis

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Processing Phoneme Specific Segments for Cleft Lip and Palate Speech Enhancement

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The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics

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SpliceOut: A Simple and Efficient Audio Augmentation Method

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ATISS: Autoregressive Transformers for Indoor Scene Synthesis

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Using Keypoint Matching and Interactive Self Attention Network to verify Retail POSMs

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Towards Accurate Cross-Domain In-Bed Human Pose Estimation

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Estimating Image Depth in the Comics Domain

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MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection

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Colored Point Cloud to Image Alignment

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SPEED+: Next Generation Dataset for Spacecraft Pose Estimation across Domain Gap

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TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network

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Player Tracking and Identification in Ice Hockey

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One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features

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TranSalNet: Visual saliency prediction using transformers

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A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images

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Cartoon Explanations of Image Classifiers

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Optimized U-Net for Brain Tumor Segmentation

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Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement

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Tile Embedding: A General Representation for Procedural Level Generation via Machine Learning

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DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems

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Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports

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Multi-Scale Convolutional Neural Network for Automated AMD Classification using Retinal OCT Images

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Video Autoencoder: self-supervised disentanglement of static 3D structure and motion

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ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods

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SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021

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WHO-Hand Hygiene Gesture Classification System

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Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV Imagery

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Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs

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3rd Place Solution to Google Landmark Recognition Competition 2021

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DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

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2nd Place Solution to Google Landmark Recognition Competition 2021

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MovingFashion: a Benchmark for the Video-to-Shop Challenge

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CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation

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Deep Transfer Learning for Land Use Land Cover Classification: A Comparative Study

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A Review of Computer Vision Technologies for Fish Tracking

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Coarse-to-Fine Reasoning for Visual Question Answering

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Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack

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Transformer Assisted Convolutional Network for Cell Instance Segmentation

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Shifting Capsule Networks from the Cloud to the Deep Edge

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ParaDiS: Parallelly Distributable Slimmable Neural Networks

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Focus on the Common Good: Group Distributional Robustness Follows

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Geometric Algebra Attention Networks for Small Point Clouds

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Enhancement of Anime Imaging Enlargement using Modified Super-Resolution CNN

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Mix3D: Out-of-Context Data Augmentation for 3D Scenes

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MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

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Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation

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A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Networks

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Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images

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FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptions

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Multi-Object Tracking with Deep Learning Ensemble for Unmanned Aerial System Applications

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Deep Instance Segmentation with High-Resolution Automotive Radar

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HighlightMe: Detecting Highlights from Human-Centric Videos

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How You Move Your Head Tells What You Do: Self-supervised Video Representation Learning with Egocentric Cameras and IMU Sensors

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HDR-cGAN: Single LDR to HDR Image Translation using Conditional GAN

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An Experimental Evaluation on Deepfake Detection using Deep Face Recognition

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Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentation

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CNN-based Human Detection for UAVs in Search and Rescue

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Deep reinforcement learning for guidewire navigation in coronary artery phantom

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Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer

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Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images

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Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network

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CCS-GAN: COVID-19 CT-scan classification with very few positive training images

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A new weakly supervised approach for ALS point cloud semantic segmentation

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PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds

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GenCo: Generative Co-training on Data-Limited Image Generation

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Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework

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A free lunch from ViT: Adaptive Attention Multi-scale Fusion Transformer for Fine-grained Visual Recognition

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Learning Structural Representations for Recipe Generation and Food Retrieval

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Enhance Images as You Like with Unpaired Learning

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DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images

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Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework

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Keypoint Communities

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Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild

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A Robust Scheme for 3D Point Cloud Copy Detection

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Anatomical Landmarks Localization for 3D Foot Point Clouds

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FICGAN: Facial Identity Controllable GAN for De-identification

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Universal Adversarial Spoofing Attacks against Face Recognition

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RoomStructNet: Learning to Rank Non-Cuboidal Room Layouts From Single View

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Algorithm Fairness in AI for Medicine and Healthcare

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A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing

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A Survey of Selected Algorithms Used in Military Applications from the Viewpoints of Dataflow and GaAs

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Marginally calibrated response distributions for end-to-end learning in autonomous driving

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Artificial Intelligence For Breast Cancer Detection: Trends & Directions

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Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans

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An Unsupervised Video Game Playstyle Metric via State Discretization

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GROWN: GRow Only When Necessary for Continual Learning

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ProTo: Program-Guided Transformer for Program-Guided Tasks

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Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on multi-view cardiac MR Images

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TEACh: Task-driven Embodied Agents that Chat

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Unsupervised Motion Representation Learning with Capsule Autoencoders

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ResNet strikes back: An improved training procedure in timm

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Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance Segmentation

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PhiNets: a scalable backbone for low-power AI at the edge

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Geometry Attention Transformer with Position-aware LSTMs for Image Captioning

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Generative Memory-Guided Semantic Reasoning Model for Image Inpainting

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Data-Efficient Instance Segmentation with a Single GPU

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Deep Learning-based Action Detection in Untrimmed Videos: A Survey

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GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction

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Fully Spiking Variational Autoencoder

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DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization

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Scientific evidence extraction

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A Data-Centric Approach for Training Deep Neural Networks with Less Data

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Automated Testing of AI Models

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Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design

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To Charge or To Sell? EV Pack Useful Life Estimation via LSTMs and Autoencoders

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mRAT-SQL+GAP:A Portuguese Text-to-SQL Transformer

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Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties

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PWG-IDS: An Intrusion Detection Model for Solving Class Imbalance in IIoT Networks Using Generative Adversarial Networks

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On the Latent Holes of VAEs for Text Generation

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Noisy Text Data: Achilles' Heel of popular transformer based NLP models

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Situated Dialogue Learning through Procedural Environment Generation

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Hybrid Pointer Networks for Traveling Salesman Problems Optimization

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The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation

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Bach Style Music Authoring System based on Deep Learning

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No-Press Diplomacy from Scratch

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From STL Rulebooks to Rewards

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NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks

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Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities

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Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis

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Empowering Local Communities Using Artificial Intelligence

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SMProbLog: Stable Model Semantics in ProbLog and its Applications in Argumentation

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Thinking Fast and Slow in AI: the Role of Metacognition

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The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence

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TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions

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Models for Narrative Information: A Study

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Structured Prediction in NLP -- A survey

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Are Training Resources Insufficient? Predict First Then Explain!

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AraCOVID19-SSD: Arabic COVID-19 Sentiment and Sarcasm Detection Dataset

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Data Augmentation Approaches in Natural Language Processing: A Survey

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ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

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Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping

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Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs

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A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks

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Trustworthy AI: From Principles to Practices

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Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA

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DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models

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Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey

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MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction

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LawSum: A weakly supervised approach for Indian Legal Document Summarization

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The state-of-the-art in text-based automatic personality prediction

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Human-Centered AI for Data Science: A Systematic Approach

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Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data

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Enhancing Model Robustness and Fairness with Causality: A Regularization Approach

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A Comparative Study of Sentiment Analysis Using NLP and Different Machine Learning Techniques on US Airline Twitter Data

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SurvTRACE: Transformers for Survival Analysis with Competing Events

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Deep Learning for Rain Fade Prediction in Satellite Communications

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Predicting erectile dysfunction after treatment for localized prostate cancer

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Natural language understanding for logical games

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Phonology Recognition in American Sign Language

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A Web Scale Entity Extraction System

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Predicting COVID-19 Patient Shielding: A Comprehensive Study

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Tree-Constrained Graph Neural Networks For Argument Mining

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A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling

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EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection

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Understanding Domain Randomization for Sim-to-real Transfer

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Darts: User-Friendly Modern Machine Learning for Time Series

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Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective

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On the Optimal Memorization Power of ReLU Neural Networks

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Revisiting SVD to generate powerful Node Embeddings for Recommendation Systems

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Developing Medical AI : a cloud-native audio-visual data collection study

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Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development

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On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime

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Predicting the Popularity of Games on Steam

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On Margin Maximization in Linear and ReLU Networks

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Cluster Analysis on Jester Dataset: A Review

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PlumeCityNet: Multi-Resolution Air Quality Forecasting

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Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

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Simplicial Convolutional Neural Networks

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Geometric Transformers for Protein Interface Contact Prediction

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Language Modeling using LMUs: 10x Better Data Efficiency or Improved Scaling Compared to Transformers

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Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer

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Towards efficient end-to-end speech recognition with biologically-inspired neural networks

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Adaptive control of a mechatronic system using constrained residual reinforcement learning

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A Deep Learning-based Audio-in-Image Watermarking Scheme

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Feature Selection by a Mechanism Design

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EntQA: Entity Linking as Question Answering

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Disambiguation-BERT for N-best Rescoring in Low-Resource Conversational ASR

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Deep Neural Networks and Tabular Data: A Survey

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Short-term precipitation prediction using deep learning

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Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction

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Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks

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SOUL: An Energy-Efficient Unsupervised Online Learning Seizure Detection Classifier

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NaRLE: Natural Language Models using Reinforcement Learning with Emotion Feedback

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FoodChem: A food-chemical relation extraction model

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Extracting Major Topics of COVID-19 Related Tweets

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Neural Network Adversarial Attack Method Based on Improved Genetic Algorithm

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On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation

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Differentiable Spline Approximations

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Development of an autism screening classification model for toddlers

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MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation

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Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing

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Graph Pointer Neural Networks

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Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data

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AI Back-End as a Service for Learning Switching of Mobile Apps between the Fog and the Cloud

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Classifying COVID-19 Spike Sequences from Geographic Location Using Deep Learning

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Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview

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Multi-Agent Algorithmic Recourse

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Online Obstructive Sleep Apnea Detection Based on Hybrid Machine Learning And Classifier Combination For Home-based Applications

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Pharmacoprint -- a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design

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Analysis of the relation between smartphone usage changes during the COVID-19 pandemic and usage preferences on apps

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3D-Transformer: Molecular Representation with Transformer in 3D Space

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A systematic evaluation of methods for cell phenotype classification using single-cell RNA sequencing data

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Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning

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How To Not Drive: Learning Driving Constraints from Demonstration

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Probabilistic Robust Autoencoders for Anomaly Detection

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Inverse airfoil design method for generating varieties of smooth airfoils using conditional WGAN-gp

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Empirical Quantitative Analysis of COVID-19 Forecasting Models

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Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions

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LEMON: Explainable Entity Matching

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Predicting Consumer Purchasing Decision in The Online Food Delivery Industry

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Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads

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Sim and Real: Better Together

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TyXe: Pyro-based Bayesian neural nets for Pytorch

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Improving Load Forecast in Energy Markets During COVID-19

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#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics

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Physics and Equality Constrained Artificial Neural Networks: Application to Partial Differential Equations

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