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?!

Who are the arbitrageurs? Empirical evidence from Bitcoin traders in the Mt. Gox exchange platform

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Circular City Index: An Open Data analysis to assess the urban circularity preparedness of cities to address the green transition -- A study on the Italian municipalities

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Fractional Growth Portfolio Investment

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Evaluation of Dynamic Cointegration-Based Pairs Trading Strategy in the Cryptocurrency Market

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Cryptocurrencies and the Future of Money

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An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States

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SINH-acceleration for B-spline projection with Option Pricing Applications

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Trading styles and long-run variance of asset prices

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Physics-Informed Neural Networks (PINNs) for Sound Field Predictions with Parameterized Sources and Impedance Boundaries

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Joint speaker diarisation and tracking in switching state-space model

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Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning

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Low-Latency Incremental Text-to-Speech Synthesis with Distilled Context Prediction Network

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Noisy-to-Noisy Voice Conversion Framework with Denoising Model

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Diarisation using Location tracking with agglomerative clustering

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Audiomer: A Convolutional Transformer for Keyword Spotting

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On the Difficulty of Segmenting Words with Attention

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TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method

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Hybrid Data Augmentation and Deep Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition

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MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classification

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SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification

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"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

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On-device neural speech synthesis

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MARMOT: A Deep Learning Framework for Constructing Multimodal Representations for Vision-and-Language Tasks

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How much "human-like" visual experience do current self-supervised learning algorithms need to achieve human-level object recognition?

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Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds

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DeepRare: Generic Unsupervised Visual Attention Models

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Layered Neural Atlases for Consistent Video Editing

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A Skeleton-Driven Neural Occupancy Representation for Articulated Hands

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Hierarchical Memory Matching Network for Video Object Segmentation

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Scene Graph Generation for Better Image Captioning?

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Recent Advances of Continual Learning in Computer Vision: An Overview

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PRANet: Point Cloud Registration with an Artificial Agent

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Multi-resolution deep learning pipeline for dense large scale point clouds

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Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark

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Towards Fine-grained 3D Face Dense Registration: An Optimal Dividing and Diffusing Method

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Learning to Downsample for Segmentation of Ultra-High Resolution Images

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A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology

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Towards practical object detection for weed spraying in precision agriculture

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Cross-Modal Coherence for Text-to-Image Retrieval

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T6D-Direct: Transformers for Multi-Object 6D Pose Direct Regression

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Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning

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Predicting the Timing of Camera Movements From the Kinematics of Instruments in Robotic-Assisted Surgery Using Artificial Neural Networks

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Pix2seq: A Language Modeling Framework for Object Detection

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FaceEraser: Removing Facial Parts for Augmented Reality

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Caption Enriched Samples for Improving Hateful Memes Detection

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Hierarchical Multimodal Transformer to Summarize Videos

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AI in Osteoporosis

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Generating Compositional Color Representations from Text

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MVM3Det: A Novel Method for Multi-view Monocular 3D Detection

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Towards a Real-Time Facial Analysis System

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LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders

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Efficient Context-Aware Network for Abdominal Multi-organ Segmentation

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Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation

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The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation

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CondNet: Conditional Classifier for Scene Segmentation

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Single Person Pose Estimation: A Survey

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IgNet. A Super-precise Convolutional Neural Network

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Robust Estimation of Reflection Symmetry in Noisy and Partial 3D Point Clouds

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Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)

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Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends

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Multifield Cosmology with Artificial Intelligence

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FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Future Medical Imaging

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Real-Time Trash Detection for Modern Societies using CCTV to Identifying Trash by utilizing Deep Convolutional Neural Network

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Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

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ElasticFace: Elastic Margin Loss for Deep Face Recognition

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CNN-based Temporal Super Resolution of Radar Rainfall Products

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Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition

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Traffic-Net: 3D Traffic Monitoring Using a Single Camera

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LODE: Deep Local Deblurring and A New Benchmark

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ComicGAN: Text-to-Comic Generative Adversarial Network

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The Unreasonable Effectiveness of the Final Batch Normalization Layer

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Manifold-preserved GANs

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Violence Detection in Videos

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Efficient Hybrid Transformer: Learning Global-local Context for Urban Sence Segmentation

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Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision

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HYouTube: Video Harmonization Dataset

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Deep Anomaly Generation: An Image Translation Approach of Synthesizing Abnormal Banded Chromosome Images

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DEM Super-Resolution with EfficientNetV2

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RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans

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Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection

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FreeStyleGAN: Free-view Editable Portrait Rendering with the Camera Manifold

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Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans

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Baby Robot: Improving the Motor Skills of Toddlers

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Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning

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AirLoop: Lifelong Loop Closure Detection

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Atrial Fibrillation: A Medical and Technological Review

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iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform

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Underwater Image Enhancement Using Convolutional Neural Network

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A survey on deep learning approaches for breast cancer diagnosis

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Learning to Regrasp by Learning to Place

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Monitoring Indoor Activity of Daily Living Using Thermal Imaging: A Case Study

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Diverse Generation from a Single Video Made Possible

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ActionCLIP: A New Paradigm for Video Action Recognition

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Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects

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GraFormer: Graph Convolution Transformer for 3D Pose Estimation

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LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

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Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI

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Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning

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What we see and What we don't see: Imputing Occluded Crowd Structures from Robot Sensing

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CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images

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Transformer-Unet: Raw Image Processing with Unet

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Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net

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An Algorithm for Generating Gap-Fill Multiple Choice Questions of an Expert System

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Active Learning for Argument Strength Estimation

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Actionable Conversational Quality Indicators for Improving Task-Oriented Dialog Systems

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A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios

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K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering

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Recursively Summarizing Books with Human Feedback

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AI-HRI 2021 Proceedings

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CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks

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Query Evaluation in DatalogMTL -- Taming Infinite Query Results

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DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder

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Salience-Aware Event Chain Modeling for Narrative Understanding

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Learning Robust Agents for Visual Navigation in Dynamic Environments: The Winning Entry of iGibson Challenge 2021

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Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning

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A Hierarchical Network-Oriented Analysis of User Participation in Misinformation Spread on WhatsApp

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What Would it Take to get Biomedical QA Systems into Practice?

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Learning through structure: towards deep neuromorphic knowledge graph embeddings

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Life, the universe and the hidden meaning of everything

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Shape Inference and Grammar Induction for Example-based Procedural Generation

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Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems

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SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations

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Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation

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Learning offline: memory replay in biological and artificial reinforcement learning

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Generating Local Maps of Science using Deep Bibliographic Coupling

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Identifying biases in legal data: An algorithmic fairness perspective

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Assessing clinical utility of Machine Learning and Artificial Intelligence approaches to analyze speech recordings in Multiple Sclerosis: A Pilot Study

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I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames

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Multi-future Merchant Transaction Prediction

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Actionable Approaches to Promote Ethical AI in Libraries

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Automatic Generation of Board Game Manuals

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A Survey of Text Games for Reinforcement Learning informed by Natural Language

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Assessing the quality of sources in Wikidata across languages: a hybrid approach

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Learning Natural Language Generation from Scratch

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Automated and Explainable Ontology Extension Based on Deep Learning: A Case Study in the Chemical Domain

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Multi-Task Learning in Natural Language Processing: An Overview

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Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control

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A Comprehensive Overview of Recommender System and Sentiment Analysis

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Model Bias in NLP -- Application to Hate Speech Classification

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Predicting vehicles parking behaviour in shared premises for aggregated EV electricity demand response programs

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Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play

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MeetDot: Videoconferencing with Live Translation Captions

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A Novel Online Incremental Learning Intrusion Prevention System

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DeepPhysics: a physics aware deep learning framework for real-time simulation

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Unified and Multilingual Author Profiling for Detecting Haters

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Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks

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Lifelong Robotic Reinforcement Learning by Retaining Experiences

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What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study

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DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation

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Sinoledge: A Knowledge Engine based on Logical Reasoning and Distributed Micro Services

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Primer: Searching for Efficient Transformers for Language Modeling

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CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

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Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis

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Reinforcement Learning on Encrypted Data

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Exploring Machine Teaching with Children

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Federated Feature Selection for Cyber-Physical Systems of Systems

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Predicting Stress in Remote Learning via Advanced Deep Learning Technologies

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On Bonus-Based Exploration Methods in the Arcade Learning Environment

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Learning Predictive and Interpretable Timeseries Summaries from ICU Data

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DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

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Named Entity Recognition and Classification on Historical Documents: A Survey

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Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation

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Hierarchies of Planning and Reinforcement Learning for Robot Navigation

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PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation

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Improved Evolutionary Generative Adversarial Networks

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Social-Media Activity Forecasting with Exogenous Information Signals

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Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing

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A Workflow for Offline Model-Free Robotic Reinforcement Learning

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Unsupervised Movement Detection in Indoor Positioning Systems

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Emulating Aerosol Microphysics with a Machine Learning

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A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems

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Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data

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BFClass: A Backdoor-free Text Classification Framework

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SCSS-Net: Solar Corona Structures Segmentation by Deep Learning

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Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation

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Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication

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Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron

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Personalized Online Machine Learning

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Learned Benchmarks for Subseasonal Forecasting

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Graph Neural Networks for Graph Drawing

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DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series

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FakeWake: Understanding and Mitigating Fake Wake-up Words of Voice Assistants

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SFFDD: Deep Neural Network with Enriched Features for Failure Prediction with Its Application to Computer Disk Driver

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iRNN: Integer-only Recurrent Neural Network

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Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents

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NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations

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Discovery of temporal structure intricacy in arterial blood pressure waveforms representing acuity of liver transplant and forecasting short term surgical outcome via unsupervised manifold learning

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Neural Distance Embeddings for Biological Sequences

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Machine-learning hidden symmetries

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Neural forecasting at scale

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Scaling TensorFlow to 300 million predictions per second

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A2Log: Attentive Augmented Log Anomaly Detection

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Investigating the Relationship Between World Development Indicators and the Occurrence of Disease Outbreaks in the 21st Century: A Case Study

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Merlion: A Machine Learning Library for Time Series

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Rethnicity: Predicting Ethnicity from Names

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Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model)

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Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model

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Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of SNOMED codes

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Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures

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Change of human mobility during COVID-19: A United States case study

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Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey

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Inductive Conformal Recommender System

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Acoustic Echo Cancellation using Residual U-Nets

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Recommender systems based on graph embedding techniques: A comprehensive review

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The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection

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Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systems

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Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks

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Grouping Search Results with Product Graphs in E-commerce Platforms

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UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims

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Model-Based Approach for Measuring the Fairness in ASR

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Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation

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A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches

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Proteome-informed machine learning studies of cocaine addiction

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Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration

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Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach

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Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching

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Hard to Forget: Poisoning Attacks on Certified Machine Unlearning

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New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT

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Strategic Ranking

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