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?!

Design and Analysis of Robust Deep Learning Models for Stock Price Prediction

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Trading with the Crowd

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Effects of Covid-19 Pandemic on Chinese Commodity Futures Markets

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Politicians' Willingness to Agree: Evidence from the interactions in Twitter of Chilean Deputies

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Market Complete Option Valuation using a Jarrow-Rudd Pricing Tree with Skewness and Kurtosis

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An Information Filtering approach to stress testing: an application to FTSE markets

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Deep reinforcement learning on a multi-asset environment for trading

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Re-examining the Philosophical Underpinnings of the Melting Pot vs. Multiculturalism in the Current Immigration Debate in the United States

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The Effect of Client Appraisal on the Efficiency of Micro Finance Bank

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Reservoir optimization and Machine Learning methods

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The relationship between the US broad money supply and US GDP for the time period 2001 to 2019 with that of the corresponding time series for US national property and stock market indices, using an information entropy methodology

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The link between Bitcoin and Google Trends attention

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A News-based Machine Learning Model for Adaptive Asset Pricing

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Algorithmic market making in foreign exchange cash markets: a new model for active market makers

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Finding the Contextual Gap Towards Employee Engagement in Financial Sector: A Review Study

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Generative Adversarial Networks in finance: an overview

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The separation of market and price in some free competitions and its related solution to the over-application problem in the job market

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Efficient Conformer with Prob-Sparse Attention Mechanism for End-to-EndSpeech Recognition

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WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

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Improving On-Screen Sound Separation for Open Domain Videos with Audio-Visual Self-attention

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Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model

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Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit

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ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling

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EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model

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Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments

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Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking

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Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking

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Pathological voice adaptation with autoencoder-based voice conversion

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End-to-End Spoken Language Understanding for Generalized Voice Assistants

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Enriching Source Style Transfer in Recognition-Synthesis based Non-Parallel Voice Conversion

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Silent Speech and Emotion Recognition from Vocal Tract Shape Dynamics in Real-Time MRI

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Multi-Speaker ASR Combining Non-Autoregressive Conformer CTC and Conditional Speaker Chain

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Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis

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MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis

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Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation

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Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities

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Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021

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SRIB Submission to Interspeech 2021 DiCOVA Challenge

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Multi-channel Opus compression for far-field automatic speech recognition with a fixed bitrate budget

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UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

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SynthASR: Unlocking Synthetic Data for Speech Recognition

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GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

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Continuous Wavelet Vocoder-based Decomposition of Parametric Speech Waveform Synthesis

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Few-shot learning of new sound classes for target sound extraction

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WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments

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Catch-A-Waveform: Learning to Generate Audio from a Single Short Example

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HUI-Audio-Corpus-German: A high quality TTS dataset

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Spoken Style Learning with Multi-modal Hierarchical Context Encoding for Conversational Text-to-Speech Synthesis

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Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

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NAAQA: A Neural Architecture for Acoustic Question Answering

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Visual Correspondence Hallucination: Towards Geometric Reasoning

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MoDist: Motion Distillation for Self-supervised Video Representation Learning

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Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning

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XCiT: Cross-Covariance Image Transformers

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The 2021 Image Similarity Dataset and Challenge

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AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition

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To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision

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Learning to Associate Every Segment for Video Panoptic Segmentation

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NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go

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ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks

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THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers

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Layer Folding: Neural Network Depth Reduction using Activation Linearization

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A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications

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Optical Mouse: 3D Mouse Pose From Single-View Video

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Federated CycleGAN for Privacy-Preserving Image-to-Image Translation

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Long-Short Temporal Contrastive Learning of Video Transformers

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Trilateral Attention Network for Real-time Medical Image Segmentation

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The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries

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Automatic Main Character Recognition for Photographic Studies

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Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure

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On Anytime Learning at Macroscale

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Transductive Few-Shot Learning: Clustering is All You Need?

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Probing Image-Language Transformers for Verb Understanding

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Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

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Invertible Attention

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The Oxford Road Boundaries Dataset

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Toward Robotic Weed Control: Detection of Nutsedge Weed in Bermudagrass Turf Using Inaccurate and Insufficient Training Data

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Over-and-Under Complete Convolutional RNN for MRI Reconstruction

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X-MAN: Explaining multiple sources of anomalies in video

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SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking

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Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions

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Learning to Disentangle GAN Fingerprint for Fake Image Attribution

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2nd Place Solution for Waymo Open Dataset Challenge -- Real-time 2D Object Detection

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Shuffle Transformer with Feature Alignment for Video Face Parsing

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EdgeConv with Attention Module for Monocular Depth Estimation

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Compound Frechet Inception Distance for Quality Assessment of GAN Created Images

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Anomaly Detection in Video Sequences: A Benchmark and Computational Model

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Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks

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Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows

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Dynamically Grown Generative Adversarial Networks

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Understanding and Evaluating Racial Biases in Image Captioning

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ICDAR 2021 Competition on Components Segmentation Task of Document Photos

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Multi-scale Neural ODEs for 3D Medical Image Registration

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Scene Transformer: A unified multi-task model for behavior prediction and planning

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Seeing Through Clouds in Satellite Images

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TextStyleBrush: Transfer of Text Aesthetics from a Single Example

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Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch

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GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger

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GKNet: grasp keypoint network for grasp candidates detection

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Is this Harmful? Learning to Predict Harmfulness Ratings from Video

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Dynamic Head: Unifying Object Detection Heads with Attentions

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Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy

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BEiT: BERT Pre-Training of Image Transformers

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A Spacecraft Dataset for Detection, Segmentation and Parts Recognition

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Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction

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Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels

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Demographic Fairness in Face Identification: The Watchlist Imbalance Effect

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Color2Style: Real-Time Exemplar-Based Image Colorization with Self-Reference Learning and Deep Feature Modulation

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Compositional Sketch Search

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Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review

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ReS2tAC -- UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices

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Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images

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Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection

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Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection

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Learning Deep Morphological Networks with Neural Architecture Search

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Face Age Progression With Attribute Manipulation

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Physion: Evaluating Physical Prediction from Vision in Humans and Machines

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SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients

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Automated triaging of head MRI examinations using convolutional neural networks

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Automatic linear measurements of the fetal brain on MRI with deep neural networks

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EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification

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Perceptually-inspired super-resolution of compressed videos

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Revisiting the Calibration of Modern Neural Networks

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A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification

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Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology

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CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks

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Improved Transformer for High-Resolution GANs

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Video-Based Inpatient Fall Risk Assessment: A Case Study

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An optimized Capsule-LSTM model for facial expression recognition with video sequences

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Attention mechanisms and deep learning for machine vision: A survey of the state of the art

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User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning

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S$^2$-MLP: Spatial-Shift MLP Architecture for Vision

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3rd Place Solution for Short-video Face Parsing Challenge

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Dilated filters for edge detection algorithms

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Automated Parking Space Detection Using Convolutional Neural Networks

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More Real than Real: A Study on Human Visual Perception of Synthetic Faces

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Context-Aware Image Inpainting with Learned Semantic Priors

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2rd Place Solutions in the HC-STVG track of Person in Context Challenge 2021

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Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images

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SinIR: Efficient General Image Manipulation with Single Image Reconstruction

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Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments

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Survey: Image Mixing and Deleting for Data Augmentation

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HistoTransfer: Understanding Transfer Learning for Histopathology

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Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network

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Styleformer: Transformer based Generative Adversarial Networks with Style Vector

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Siamese Network Training Using Sampled Triplets and Image Transformation

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Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs

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Inverting Adversarially Robust Networks for Image Synthesis

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Deep Learning for Reversible Steganography: Principles and Insights

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An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray Images

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Video Super-Resolution Transformer

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Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation

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Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks

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DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis

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DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation

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1st Place Solution for YouTubeVOS Challenge 2021:Video Instance Segmentation

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GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)

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Unsupervised Learning of Visual 3D Keypoints for Control

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An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19

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Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos

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Entropy-based Logic Explanations of Neural Networks

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Hippocampus segmentation in magnetic resonance images of Alzheimer's patients using Deep machine learning

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Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields

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Federated Learning with Spiking Neural Networks

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SimSwap: An Efficient Framework For High Fidelity Face Swapping

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ViT-Inception-GAN for Image Colourising

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A self-adapting super-resolution structures framework for automatic design of GAN

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Recovery of Meteorites Using an Autonomous Drone and Machine Learning

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Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation

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PyGAD: An Intuitive Genetic Algorithm Python Library

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Coordinate Independent Convolutional Networks -- Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds

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MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data

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Conference proceedings KI4Industry AI for SMEs -- the online congress for practical entry into AI for SMEs

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Virtual Reality based Digital Twin System for remote laboratories and online practical learning

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MatES: Web-based Forward Chaining Expert System for Maternal Care

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Explainable AI for Natural Adversarial Images

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How Low Can We Go: Trading Memory for Error in Low-Precision Training

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Modeling Worlds in Text

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Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction

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Towards bio-inspired unsupervised representation learning for indoor aerial navigation

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AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction

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The Difficulty of Novelty Detection in Open-World Physical Domains: An Application to Angry Birds

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Development of Quantized DNN Library for Exact Hardware Emulation

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A Dataset-Level Geometric Framework for Ensemble Classifiers

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Coreference-Aware Dialogue Summarization

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Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors

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Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attention

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Diagnosing the Impact of AI on Radiology in China

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Communicating Natural Programs to Humans and Machines

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StockBabble: A Conversational Financial Agent to support Stock Market Investors

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Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance

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Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks

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Pitfalls of Explainable ML: An Industry Perspective

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EPICURE Ensemble Pretrained Models for Extracting Cancer Mutations from Literature

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A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs

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A Cognitive Science perspective for learning how to design meaningful user experiences and human-centered technology

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Predicting 3D RNA Folding Patterns via Quadratic Binary Optimization

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An SMT Based Compositional Model to Solve a Conflict-Free Electric Vehicle Routing Problem

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A Recipe for Social Media Analysis

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Certification of embedded systems based on Machine Learning: A survey

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Pre-Trained Models: Past, Present and Future

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Intelligent Agent for Hurricane Emergency Identification and Text Information Extraction from Streaming Social Media Big Data

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Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening

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RCURRENCY: Live Digital Asset Trading Using a Recurrent Neural Network-based Forecasting System

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Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles

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Learning on Abstract Domains: A New Approach for Verifiable Guarantee in Reinforcement Learning

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MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning

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Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China

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Machine Learning Based Prediction of Future Stress Events in a Driving Scenario

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An Empirical Survey of Data Augmentation for Limited Data Learning in NLP

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pix2rule: End-to-end Neuro-symbolic Rule Learning

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Training Graph Neural Networks with 1000 Layers

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A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intents

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MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education

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Probing Pre-Trained Language Models for Disease Knowledge

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Communication is the universal solvent: atreya bot -- an interactive bot for chemical scientists

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Is Einstein more agreeable and less neurotic than Hitler? A computational exploration of the emotional and personality profiles of historical persons

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Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations

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Game of GANs: Game Theoretical Models for Generative Adversarial Networks

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Active Learning for Network Traffic Classification: A Technical Survey

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Learngene: From Open-World to Your Learning Task

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AutoLoss: Automated Loss Function Search in Recommendations

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What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data

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To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs

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Sprachsynthese -- State-of-the-Art in englischer und deutscher Sprache

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A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising

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BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data

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Assessing Political Prudence of Open-domain Chatbots

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A comprehensive solution to retrieval-based chatbot construction

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Achieving Diverse Objectives with AI-driven Prices in Deep Reinforcement Learning Multi-agent Markets

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Domain Transformer: Predicting Samples of Unseen, Future Domains

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Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking

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Neural Higher-order Pattern (Motif) Prediction in Temporal Networks

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Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation

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Deep generative modeling for probabilistic forecasting in power systems

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A Simple Generative Network

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CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

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Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion

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Joining datasets via data augmentation in the label space for neural networks

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EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals

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DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting

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On the training of sparse and dense deep neural networks: less parameters, same performance

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Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study

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Multi-head or Single-head? An Empirical Comparison for Transformer Training

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A Deep Reinforcement Learning Approach towards Pendulum Swing-up Problem based on TF-Agents

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Biomedical Interpretable Entity Representations

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Scalable Approach for Normalizing E-commerce Text Attributes (SANTA)

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Physics-informed CoKriging model of a redox flow battery

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Automatic Construction of Evaluation Suites for Natural Language Generation Datasets

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Disentangling Online Chats with DAG-Structured LSTMs

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Estimating the Robustness of Public Transport Systems Using Machine Learning

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Deep-learning based Tools for Automated Protocol Definition of Advanced Diagnostic Imaging Exams

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Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better

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FGLP: A Federated Fine-Grained Location Prediction System for Mobile Users

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Recursive Construction of Stable Assemblies of Recurrent Neural Networks

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Offline RL Without Off-Policy Evaluation

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Simultaneous Training of Partially Masked Neural Networks

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To Raise or Not To Raise: The Autonomous Learning Rate Question

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Predicting crop yields with little ground truth: A simple statistical model for in-season forecasting

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Topology Distillation for Recommender System

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Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering

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Self-supervised GANs with Label Augmentation

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Circa: Stochastic ReLUs for Private Deep Learning

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Spoofing Generalization: When Can't You Trust Proprietary Models?

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Adversarial Attacks on Deep Models for Financial Transaction Records

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A Spiking Neural Network for Image Segmentation

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Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)

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RefBERT: Compressing BERT by Referencing to Pre-computed Representations

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Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey

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COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter

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Deep Reinforcement Learning for Conservation Decisions

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PairConnect: A Compute-Efficient MLP Alternative to Attention

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Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

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Very Deep Graph Neural Networks Via Noise Regularisation

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Credit Assignment in Neural Networks through Deep Feedback Control

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KL Guided Domain Adaptation

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RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests

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Kernel Identification Through Transformers

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Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology

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Detect and remove watermark in deep neural networks via generative adversarial networks

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Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow

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CausalNLP: A Practical Toolkit for Causal Inference with Text

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Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices

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Capabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM

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S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks

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GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles

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A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip

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Hierarchically Regularized Deep Forecasting

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Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field

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Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI

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Predicting the Popularity of Reddit Posts with AI

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Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation

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CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning

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FairCanary: Rapid Continuous Explainable Fairness

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Correcting Exposure Bias for Link Recommendation

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Deep Bayesian Unsupervised Lifelong Learning

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Category Theory in Machine Learning

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Thinking Like Transformers

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Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win

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Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

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Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems

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Federated Learning on Non-IID Data: A Survey

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BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings

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Equivariant Networks for Pixelized Spheres

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Break-It-Fix-It: Unsupervised Learning for Program Repair

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A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning

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MoParkeR : Multi-objective Parking Recommendation

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Predicting the imagined contents using brain activation

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English to Bangla Machine Translation Using Recurrent Neural Network

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Optimal transport in multilayer networks

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Security Analysis of Camera-LiDAR Semantic-Level Fusion Against Black-Box Attacks on Autonomous Vehicles

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Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media

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Predicting the Ordering of Characters in Japanese Historical Documents

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The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective

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WAX-ML: A Python library for machine learning and feedback loops on streaming data

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Analyzing the Travel and Charging Behavior of Electric Vehicles -- A Data-driven Approach

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Topological Detection of Trojaned Neural Networks

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Keyframe-Focused Visual Imitation Learning

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A Novel Approach to Lifelong Learning: The Plastic Support Structure

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TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning

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Inter-domain Multi-relational Link Prediction

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ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction

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High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks

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Machine Learning Framework for Sensing and Modeling Interference in IoT Frequency Bands

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DRLD-SP: A Deep Reinforcement Learning-based Dynamic Service Placement in Edge-Enabled Internet of Vehicles

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States of confusion: Eye and Head tracking reveal surgeons' confusion during arthroscopic surgery

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On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting

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Monotonic Neural Network: combining Deep Learning with Domain Knowledge for Chiller Plants Energy Optimization

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Neural Optimization Kernel: Towards Robust Deep Learning

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Graph Neural Networks for Natural Language Processing: A Survey

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