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?!

A comparative study of Different Machine Learning Regressors For Stock Market Prediction

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Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models

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Analysis of optimal portfolio on finite and small time horizons for a stochastic volatility market model

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Profitability Analysis in Stock Investment Using an LSTM-Based Deep Learning Model

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Loss of structural balance in stock markets

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The Ruble Collapse in an Online Marketplace: Some Lessons for Market Designers

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Financial Markets Prediction with Deep Learning

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A Fast Evidential Approach for Stock Forecasting

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The Effect of Sport in Online Dating: Evidence from Causal Machine Learning

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CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets

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Optimal Market Making by Reinforcement Learning

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Spectrogram Inpainting for Interactive Generation of Instrument Sounds

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Audio feature ranking for sound-based COVID-19 patient detection

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EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition

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Speaker Attentive Speech Emotion Recognition

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Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels

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Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding

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FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion

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Efficient conformer-based speech recognition with linear attention

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End-to-end Keyword Spotting using Neural Architecture Search and Quantization

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Learning Metrics from Mean Teacher: A Supervised Learning Method for Improving the Generalization of Speaker Verification System

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Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation

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NoiseVC: Towards High Quality Zero-Shot Voice Conversion

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Extremely Low Footprint End-to-End ASR System for Smart Device

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End-to-End Mandarin Tone Classification with Short Term Context Information

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Boundary and Context Aware Training for CIF-based Non-Autoregressive End-to-end ASR

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SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

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BART based semantic correction for Mandarin automatic speech recognition system

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Deep Learning for Prominence Detection in Children's Read Speech

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Improved Conformer-based End-to-End Speech Recognition Using Neural Architecture Search

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Innovative Bert-based Reranking Language Models for Speech Recognition

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NeMo Toolbox for Speech Dataset Construction

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Non-autoregressive Transformer-based End-to-end ASR using BERT

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Feature Replacement and Combination for Hybrid ASR Systems

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End-to-end speaker segmentation for overlap-aware resegmentation

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A Simple Baseline for StyleGAN Inversion

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GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds

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Street-Map Based Validation of Semantic Segmentation in Autonomous Driving

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Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation

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Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

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Audio-Driven Emotional Video Portraits

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Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition

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Training Deep Capsule Networks with Residual Connections

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3DCrowdNet: 2D Human Pose-Guided3D Crowd Human Pose and Shape Estimation in the Wild

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StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis

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Auto-Tuned Sim-to-Real Transfer

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Image Super-Resolution via Iterative Refinement

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Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification

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Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing

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ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

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CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA

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LEAP: Learning Articulated Occupancy of People

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Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network

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Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts

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Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving

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Meaningful Adversarial Stickers for Face Recognition in Physical World

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ADNet: Temporal Anomaly Detection in Surveillance Videos

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Learning Semantic Person Image Generation by Region-Adaptive Normalization

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Zero-Shot Instance Segmentation

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Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN

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DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

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Machine-learned 3D Building Vectorization from Satellite Imagery

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Single Image Depth Estimation: An Overview

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Learning to Jointly Deblur, Demosaick and Denoise Raw Images

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Pointly-Supervised Instance Segmentation

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DropLoss for Long-Tail Instance Segmentation

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Co-Scale Conv-Attentional Image Transformers

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All you need are a few pixels: semantic segmentation with PixelPick

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All you need are a few pixels: semantic segmentation with PixelPick

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UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification

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Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts

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Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline

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Fast Hierarchical Games for Image Explanations

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Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning

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VariTex: Variational Neural Face Textures

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CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images

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SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment

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Crossover Learning for Fast Online Video Instance Segmentation

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VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Dense Depth Reconstruction

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SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging

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NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media

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Visual Goal-Step Inference using wikiHow

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Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization

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Generalizable Multi-Camera 3D Pedestrian Detection

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Multi-View Image-to-Image Translation Supervised by 3D Pose

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Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure

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Deep Learning for Vision-Based Fall Detection System: Enhanced Optical Dynamic Flow

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Neuro-Symbolic VQA: A review from the perspective of AGI desiderata

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A Novel Solution of Using Mixed Reality in Bowel and Oral and Maxillofacial Surgical Telepresence: 3D Mean Value Cloning algorithm

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A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers

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COVID-19 detection using chest X-rays: is lung segmentation important for generalization?

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Spatiotemporal Entropy Model is All You Need for Learned Video Compression

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Fibro-CoSANet: Pulmonary Fibrosis Prognosis Prediction using a Convolutional Self Attention Network

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A Recipe for Global Convergence Guarantee in Deep Neural Networks

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Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling

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Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis

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Action-Conditioned 3D Human Motion Synthesis with Transformer VAE

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View-Guided Point Cloud Completion

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Common Limitations of Image Processing Metrics: A Picture Story

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Rethinking and Improving the Robustness of Image Style Transfer

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GAttANet: Global attention agreement for convolutional neural networks

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Cloth Interactive Transformer for Virtual Try-On

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Diamond in the rough: Improving image realism by traversing the GAN latent space

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An MRF-UNet Product of Experts for Image Segmentation

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Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio-Temporal Attention

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Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition

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Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition

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StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision

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Improving Online Performance Prediction for Semantic Segmentation

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Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation

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Neural Camera Simulators

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SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching

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GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion

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Egocentric Pose Estimation from Human Vision Span

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Object-Centric Representation Learning for Video Question Answering

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Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition

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Shuffler: A Large Scale Data Management Tool for ML in Computer Vision

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Towards a Collective Agenda on AI for Earth Science Data Analysis

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Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm

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Deformable Capsules for Object Detection

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Temporal Consistency Two-Stream CNN for Human Motion Prediction

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One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet

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Zero-Shot Learning on 3D Point Cloud Objects and Beyond

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SIGAN: A Novel Image Generation Method for Solar Cell Defect Segmentation and Augmentation

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Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop

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Fine-Grained Attention for Weakly Supervised Object Localization

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SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels

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Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation

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Latent Code-Based Fusion: A Volterra Neural Network Approach

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Two layer Ensemble of Deep Learning Models for Medical Image Segmentation

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Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality

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Lip reading using external viseme decoding

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MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis

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Estimation of BMI from Facial Images using Semantic Segmentation based Region-Aware Pooling

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Do as we do: Multiple Person Video-To-Video Transfer

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Learning from 2D: Pixel-to-Point Knowledge Transfer for 3D Pretraining

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Towards Automated and Marker-less Parkinson Disease Assessment: Predicting UPDRS Scores using Sit-stand videos

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Pixel Codec Avatars

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DexYCB: A Benchmark for Capturing Hand Grasping of Objects

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RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes

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Neural RGB-D Surface Reconstruction

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Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction

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Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

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Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning

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Edge-Aware Image Compression using Deep Learning-based Super-resolution Network

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Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data

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Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features

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Bootstrapping Semantic Segmentation with Regional Contrast

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CondenseNet V2: Sparse Feature Reactivation for Deep Networks

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Multimodal Face Synthesis from Visual Attributes

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Rock Hunting With Martian Machine Vision

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Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks

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Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret Key

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Reinforced Attention for Few-Shot Learning and Beyond

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SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size

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Social Media Images Classification Models for Real-time Disaster Response

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Image-based Virtual Fitting Room

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X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model

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Know What and Know Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation

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eGAN: Unsupervised approach to class imbalance using transfer learning

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DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays

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Applying Personal Knowledge Graphs to Health

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AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction

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ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning

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Towards A Process Model for Co-Creating AI Experiences

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Deep Learning-based Online Alternative Product Recommendations at Scale

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Retrieval Augmentation Reduces Hallucination in Conversation

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Robust Backdoor Attacks against Deep Neural Networks in Real Physical World

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Robust Neural Networks Outperform Attitude Estimation Filters

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ROC: An Ontology for Country Responses towards COVID-19

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All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks

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Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction

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Towards Handling Uncertainty-at-Source in AI -- A Review and Next Steps for Interval Regression

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Sentence-Permuted Paragraph Generation

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On the Robustness of Goal Oriented Dialogue Systems to Real-world Noise

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FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

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The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress

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Modeling Human Mental States with an Entity-based Narrative Graph

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Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis

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I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews

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Towards BERT-based Automatic ICD Coding: Limitations and Opportunities

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GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback

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ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks

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Robotic needle steering in deformable tissues with extreme learning machines

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MS2: Multi-Document Summarization of Medical Studies

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MEME: Generating RNN Model Explanations via Model Extraction

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Agents for Automated User Experience Testing

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Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution

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Two-stage training algorithm for AI robot soccer

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Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review

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Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding

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SetConv: A New Approach for Learning from Imbalanced Data

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UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense

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LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information

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Detecting Operational Adversarial Examples for Reliable Deep Learning

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Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation

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Distilling Wikipedia mathematical knowledge into neural network models

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Relational world knowledge representation in contextual language models: A review

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Does My Representation Capture X? Probe-Ably

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Towards a Next Generation Computing Paradigm: Approximate Computing in Robotics Systems and Environment-Experimentation, Case Study and Practical Implications

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Implementing an expert system to evaluate technical solutions innovativeness

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MeToo Tweets Sentiment Analysis Using Multi Modal frameworks

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Machine learning and deep learning

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Boltzmann Tuning of Generative Models

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Unsupervised Lane-Change Identification for On-Ramp Merge Analysis in Naturalistic Driving Data

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Building Mental Models through Preview of Autopilot Behaviors

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A Conceptual Framework for Establishing Trust in Real World Intelligent Systems

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LearningCity: Knowledge Generation for Smart Cities

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Online Machine Learning Techniques for Coq: A Comparison

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StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

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High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models

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TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

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ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms

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AutoGL: A Library for Automated Graph Learning

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Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review

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Sentiment-based Candidate Selection for NMT

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Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management

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MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection

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TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation

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WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans

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Smart and Secure CAV Networks Empowered by AI-Enabled Blockchain: Next Frontier for Intelligent Safe-Driving Assessment

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Counter-Strike Deathmatch with Large-Scale Behavioural Cloning

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Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future

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INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]

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Individual Explanations in Machine Learning Models: A Case Study on Poverty Estimation

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Artificial intelligence, human rights, democracy, and the rule of law: a primer

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Individual Explanations in Machine Learning Models: A Survey for Practitioners

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Replay in Deep Learning: Current Approaches and Missing Biological Elements

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Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers

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XFORMAL: A Benchmark for Multilingual Formality Style Transfer

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Towards a New Participatory Approach for Designing Artificial Intelligence and Data-Driven Technologies

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mlf-core: a framework for deterministic machine learning

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Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning

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HIVE-COTE 2.0: a new meta ensemble for time series classification

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Maximum Entropy Auto-Encoding

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Serverless Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities

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Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study

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OneLog: Towards End-to-End Training in Software Log Anomaly Detection

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An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks

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An Interpretability Illusion for BERT

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Neural population geometry: An approach for understanding biological and artificial neural networks

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Process Outcome Prediction: CNN vs. LSTM (with Attention)

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Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference

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WiFiNet: WiFi-based indoor localisation using CNNs

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Sparse Attention with Linear Units

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Translating synthetic natural language to database queries: a polyglot deep learning framework

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A Weakly Supervised Model for Solving Math word Problems

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A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images

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Learning How to Ask: Querying LMs with Mixtures of Soft Prompts

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Learning Regularization Parameters of Inverse Problems via Deep Neural Networks

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A Review of Anonymization for Healthcare Data

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BERT Embeddings Can Track Context in Conversational Search

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SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning

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Data-Driven Reinforcement Learning for Virtual Character Animation Control

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Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations

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Detoxifying Language Models Risks Marginalizing Minority Voices

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EXPLAINABOARD: An Explainable Leaderboard for NLP

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QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

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SFE-Net: EEG-based Emotion Recognition with Symmetrical Spatial Feature Extraction

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Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints

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Understanding Transformers for Bot Detection in Twitter

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Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack

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Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays

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Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews

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Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation

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Predicting the Accuracy of Early-est Earthquake Magnitude Estimates with an LSTM Neural Network: A Preliminary Analysis

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Understanding Overparameterization in Generative Adversarial Networks

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Traffic Forecasting using Vehicle-to-Vehicle Communication

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An Efficient 2D Method for Training Super-Large Deep Learning Models

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The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks

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Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities

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High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models

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One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring

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Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis

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Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures

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Personalized Bundle Recommendation in Online Games

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FUDGE: Controlled Text Generation With Future Discriminators

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Edge: Enriching Knowledge Graph Embeddings with External Text

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FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection

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Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles

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Applications of physics-informed scientific machine learning in subsurface science: A survey

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ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference

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Text2Chart: A Multi-Staged Chart Generator from Natural Language Text

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Provable Repair of Deep Neural Networks

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Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge

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CropGym: a Reinforcement Learning Environment for Crop Management

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Transforming Feature Space to Interpret Machine Learning Models

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Chinese Character Decomposition for Neural MT with Multi-Word Expressions

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Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking

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Protein sequence design with deep generative models

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Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model

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Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters

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Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review

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Improving Solar Cell Metallization Designs using Convolutional Neural Networks

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