2021.8.2 Learning papers

07-28-2021	Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection by Bang Xiang Yong et al
07-27-2021	Individual Survival Curves with Conditional Normalizing Flows by Guillaume Ausset et al
07-29-2021	Distributed Identification of Contracting and/or Monotone Network Dynamics by Max Revay et al
07-28-2021	Neural Network Approximation of Refinable Functions by Ingrid Daubechies et al
07-30-2021	Data-driven modeling of time-domain induced polarization by Charles L. Bérubé et al
07-28-2021	Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation by Xiaofeng Liu et al
07-28-2021	Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate by Xiaofeng Liu et al
07-29-2021	Learning more skills through optimistic exploration by DJ Strouse et al
07-28-2021	AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models by Yichun Yin et al
07-29-2021	The Adaptive Multi-Factor Model and the Financial Market by Liao Zhu
07-29-2021	Creating Powerful and Interpretable Models withRegression Networks by Lachlan O'Neill et al
07-28-2021	Fast Wireless Sensor Anomaly Detection based on Data Stream in Edge Computing Enabled Smart Greenhouse by Yihong Yang et al
07-30-2021	Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN by Xiaohan Ding et al
07-27-2021	MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN by Wenlong Cheng et al
07-27-2021	A Payload Optimization Method for Federated Recommender Systems by Farwa K. Khan et al
07-30-2021	Distribution free optimality intervals for clustering by Marina Meilă et al
07-28-2021	Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course by Sebastian Raschka
07-28-2021	Reenvisioning Collaborative Filtering vs Matrix Factorization by Vito Walter Anelli et al
07-28-2021	DeepTeeth: A Teeth-photo Based Human Authentication System for Mobile and Hand-held Devices by Geetika Arora et al
07-29-2021	Temporal Dependencies in Feature Importance for Time Series Predictions by Clayton Rooke et al
07-29-2021	Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality by Vito Walter Anelli et al
07-29-2021	Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training by Piyush K. Sharma et al
07-28-2021	Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning by Maryam Habibpour et al
07-29-2021	Predicting battery end of life from solar off-grid system field data using machine learning by Antti Aitio et al
07-28-2021	Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition by Guangyi Zhang et al
07-29-2021	Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework by Adam Elwood et al
07-27-2021	Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning by Reece Walsh et al
07-27-2021	Robust Optimization Framework for Training Shallow Neural Networks Using Reachability Method by Yejiang Yang et al
07-28-2021	Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes by William Paul et al
07-29-2021	Tianshou: a Highly Modularized Deep Reinforcement Learning Library by Jiayi Weng et al
07-27-2021	COPS: Controlled Pruning Before Training Starts by Paul Wimmer et al
07-29-2021	Artificial Intelligence Hybrid Deep Learning Model for Groundwater Level Prediction Using MLP-ADAM by Pejman Zarafshan et al
07-28-2021	Large sample spectral analysis of graph-based multi-manifold clustering by Nicolas Garcia Trillos et al
07-30-2021	Maximum Entropy Dueling Network Architecture by Alireza Nadali et al
07-30-2021	Can non-specialists provide high quality gold standard labels in challenging modalities? by Samuel Budd et al
07-30-2021	Towards General Function Approximation in Zero-Sum Markov Games by Baihe Huang et al
07-27-2021	On the Role of Optimization in Double Descent: A Least Squares Study by Ilja Kuzborskij et al
07-27-2021	A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models by Alexander Dallmann et al
07-29-2021	Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound by Frieda van den Noort et al
07-28-2021	New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning by Siddharth Divi et al
07-28-2021	Self-learning Emulators and Eigenvector Continuation by Avik Sarkar et al
07-30-2021	Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks by Alberto Mozo et al
07-29-2021	Deep Networks Provably Classify Data on Curves by Tingran Wang et al
07-27-2021	Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP) by Wil van der Aalst et al
07-27-2021	A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC) by Mohammadmehdi Ataei et al
07-27-2021	End-to-End Balancing for Causal Continuous Treatment-Effect Estimation by Mohammad Taha Bahadori et al
07-30-2021	Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction by Yun Yue et al
07-27-2021	Model Free Barrier Functions via Implicit Evading Maneuvers by Eric Squires et al
07-29-2021	Few-Shot and Continual Learning with Attentive Independent Mechanisms by Eugene Lee et al
07-27-2021	Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting by Changan Wang et al
07-27-2021	Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers by Wen Wang et al
07-27-2021	Exceeding the Limits of Visual-Linguistic Multi-Task Learning by Cameron R. Wolfe et al
07-27-2021	Excavating AI Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset by Michael J. Lyons
07-28-2021	Estimating Respiratory Rate From Breath Audio Obtained Through Wearable Microphones by Agni Kumar et al
07-28-2021	Surrogate Model-Based Explainability Methods for Point Cloud NNs by Hanxiao Tan et al
07-28-2021	AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge by Zhen Xu et al
07-30-2021	Tiny Machine Learning for Concept Drift by Simone Disabato et al
07-29-2021	Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge by Aryan Karn et al
07-29-2021	On the combined effect of class imbalance and concept complexity in deep learning by Kushankur Ghosh et al
07-30-2021	An iterative coordinate descent algorithm to compute sparse low-rank approximations by Cristian Rusu
07-27-2021	Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time Series Forecasting by Eitan Kosman et al
07-27-2021	Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning by Hoifung Poon et al
07-27-2021	Experiments on Properties of Hidden Structures of Sparse Neural Networks by Julian Stier et al
07-27-2021	Transfer Learning in Electronic Health Records through Clinical Concept Embedding by Jose Roberto Ayala Solares et al
07-27-2021	A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs by Hiroki Kawakami et al
07-30-2021	Unveiling the potential of Graph Neural Networks for robust Intrusion Detection by David Pujol-Perich et al
07-27-2021	ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification by Ralf Raumanns et al
07-27-2021	Neural Network Branch-and-Bound for Neural Network Verification by Florian Jaeckle et al
07-30-2021	Perceiver IO: A General Architecture for Structured Inputs & Outputs by Andrew Jaegle et al
07-28-2021	An explainable two-dimensional single model deep learning approach for Alzheimers disease diagnosis and brain atrophy localization by Fan Zhang et al
07-27-2021	Adversarial Stacked Auto-Encoders for Fair Representation Learning by Patrik Joslin Kenfack et al
07-29-2021	Learning the temporal evolution of multivariate densities via normalizing flows by Yubin Lu et al
07-29-2021	Modeling and Optimizing Laser-Induced Graphene by Lars Kotthoff et al
07-30-2021	A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators by Idan Attias et al
07-29-2021	Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values by Sindhu Tipirneni et al
07-30-2021	Can You Hear It? Backdoor Attacks via Ultrasonic Triggers by Stefanos Koffas et al
07-29-2021	Machine Learning Advances aiding Recognition and Classification of Indian Monuments and Landmarks by Aditya Jyoti Paul et al
07-29-2021	Addressing materials microstructure diversity using transfer learning by Aurèle Goetz et al
07-28-2021	Functorial String Diagrams for Reverse-Mode Automatic Differentiation by Mario Alvarez-Picallo et al
07-27-2021	Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces by Tanmoy Dam et al
07-27-2021	Robust and Active Learning for Deep Neural Network Regression by Xi Li et al
07-27-2021	Sparse Bayesian Deep Learning for Dynamic System Identification by Hongpeng Zhou et al
07-28-2021	Chance constrained conic-segmentation support vector machine with uncertain data by Shen Peng et al
07-29-2021	OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments by Moein Razavi et al
07-27-2021	Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel by Dominic Richards et al
07-27-2021	Kernel Density Estimation by Stagewise Algorithm with a Simple Dictionary by Kiheiji Nishida et al
07-28-2021	Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection by Xinyang Feng et al
07-27-2021	Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games by Ben Hambly et al
07-29-2021	Lyapunov-based uncertainty-aware safe reinforcement learning by Ashkan B. Jeddi et al
07-29-2021	Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts by Andrea Bajcsy et al
07-29-2021	QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning by Kaan Ozkara et al
07-30-2021	Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images by Adrià Casamitjana et al
07-27-2021	Learning Local Recurrent Models for Human Mesh Recovery by Runze Li et al
07-29-2021	Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties by Leonardo F. S. Scabini et al
07-29-2021	Multi-objective optimization and explanation for stroke risk assessment in Shanxi province by ing Ma et al
07-27-2021	A Tale Of Two Long Tails by Daniel D'souza et al
07-27-2021	Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning by Tingting Tang et al
07-27-2021	Initial Foundation for Predicting Individual Earthquakes Location and Magnitude by Using Glass-Box Physics Rule Learner by In Ho Cho
07-27-2021	Reinforcement Learning with Formal Performance Metrics for Quadcopter Attitude Control under Non-nominal Contexts by Nicola Bernini et al
07-27-2021	Homogeneous Architecture Augmentation for Neural Predictor by Yuqiao Liu et al
07-28-2021	The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation by Nicolas Valenchon et al
07-27-2021	Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm by Mark Koren et al
07-27-2021	Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification by Yu Wang et al
07-27-2021	Learning to Estimate RIS-Aided mmWave Channels by Jiguang He et al
07-29-2021	Self-Supervised Learning for Fine-Grained Image Classification by Farha Al Breiki et al
07-28-2021	Social Processes: Self-Supervised Forecasting of Nonverbal Cues in Social Conversations by Chirag Raman et al
07-29-2021	Random vector functional link neural network based ensemble deep learning for short-term load forecasting by Ruobin Gao et al
07-29-2021	On the interpretation of linear Riemannian tangent space model parameters in M/EEG by Reinmar J. Kobler et al

07-30-2021	DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models by Pedro Sarmento et al
07-28-2021	ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors by Charles Sun et al
07-30-2021	T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation by Ruihuang Li et al
07-29-2021	Deep Quantized Representation for Enhanced Reconstruction by Akash Gupta et al
07-29-2021	Deciphering Cryptic Behavior in Bimetallic Transition Metal Complexes with Machine Learning by Michael G. Taylor et al
07-30-2021	Distributed Representations of Atoms and Materials for Machine Learning by Luis M. Antunes et al
07-28-2021	SimROD: A Simple Adaptation Method for Robust Object Detection by Rindra Ramamonjison et al
07-27-2021	Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction by A. K. M. Amanat Ullah et al
07-30-2021	Practical Attacks on Voice Spoofing Countermeasures by Andre Kassis et al
07-27-2021	Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing by Mimi Zhang et al
07-27-2021	Open-Ended Learning Leads to Generally Capable Agents by Open-Ended Learning Team et al
07-27-2021	Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease by Hui Che et al
07-28-2021	Snippet Policy Network for Multi-class Varied-length ECG Early Classification by Yu Huang et al
07-28-2021	Developing Open Source Educational Resources for Machine Learning and Data Science by Ludwig Bothmann et al
07-29-2021	Quantifying Uncertainty for Machine Learning Based Diagnostic by Owen Convery et al
07-29-2021	Batch Active Learning at Scale by Gui Citovsky et al
07-30-2021	ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills by Tongzhou Mu et al
07-30-2021	Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint by Javier Naranjo-Alcazar et al
07-29-2021	The Need and Status of Sea Turtle Conservation and Survey of Associated Computer Vision Advances by Aditya Jyoti Paul
07-27-2021	Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting by Brennan Nichyporuk et al
07-28-2021	EEG multipurpose eye blink detector using convolutional neural network by Amanda Ferrari Iaquinta et al
07-28-2021	Self-Supervised Hybrid Inference in State-Space Models by David Ruhe et al
07-27-2021	Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms by David M. Sommer et al
07-27-2021	Statistical Guarantees for Fairness Aware Plug-In Algorithms by Drona Khurana et al
07-30-2021	Connections between Numerical Algorithms for PDEs and Neural Networks by Tobias Alt et al
07-27-2021	Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative) by Banafshe Felfeliyan et al
07-28-2021	XFL: eXtreme Function Labeling by James Patrick-Evans et al
07-28-2021	Amplitude Mean of Functional Data on S2S2 by Zhengwu Zhang et al
07-27-2021	Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification by Fuad Noman et al
07-29-2021	Bayesian Optimization for Min Max Optimization by Dorina Weichert et al
07-30-2021	Surrogate Modelling for Injection Molding Processes using Machine Learning by Arsenii Uglov et al
07-28-2021	To Boost or not to Boost: On the Limits of Boosted Neural Networks by Sai Saketh Rambhatla et al
07-29-2021	Concept for a Technical Infrastructure for Management of Predictive Models in Industrial Applications by Florian Bachinger et al
07-28-2021	Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates by Muhammad R. Hasyim et al
07-28-2021	Learning with Multiclass AUC: Theory and Algorithms by Zhiyong Yang et al
07-30-2021	A common variable minimax theorem for graphs by Ronald R. Coifman et al
07-29-2021	Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions by Anil Rahate et al
07-27-2021	Co-Transport for Class-Incremental Learning by Da-Wei Zhou et al
07-30-2021	NeuralDP Differentially private neural networks by design by Moritz Knolle et al
07-28-2021	SONG: Self-Organizing Neural Graphs by Łukasz Struski et al
07-28-2021	Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers by Colin Wei et al
07-29-2021	Towards robust vision by multi-task learning on monkey visual cortex by Shahd Safarani et al
07-30-2021	Whos Afraid of Thomas Bayes? by Erick Galinkin
07-28-2021	Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing by Pengfei Liu et al
07-28-2021	Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators by Alicia Curth et al
07-28-2021	Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes by Carlos Lordelo et al
07-28-2021	A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming by Stefanos Antaris et al
07-28-2021	Satisfiability and Synthesis Modulo Oracles by Elizabeth Polgreen et al
07-29-2021	Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts by Dominik Scheinert et al
07-29-2021	Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings by Prerak Srivastava et al
07-27-2021	The social dilemma in AI development and why we have to solve it by Inga Strümke et al
07-27-2021	Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning by B. Severin et al
07-27-2021	Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation by David Bonet et al
07-29-2021	Enhancing Adversarial Robustness via Test-time Transformation Ensembling by Juan C. Pérez et al
07-31-2021	DCT2net: an interpretable shallow CNN for image denoising by Sébastien Herbreteau et al
07-27-2021	Persistent Reinforcement Learning via Subgoal Curricula by Archit Sharma et al
07-27-2021	Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders by Eric A. Moreno et al
07-29-2021	Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes by Erik Esche et al
07-29-2021	Modern Non-Linear Function-on-Function Regression by Aniruddha Rajendra Rao et al
07-28-2021	Bayesian Autoencoders for Drift Detection in Industrial Environments by Bang Xiang Yong et al
07-29-2021	Modeling User Empathy Elicited by a Robot Storyteller by Leena Mathur et al
07-30-2021	TASK3 DCASE2021 Challenge: Sound event localization and detection using squeeze-excitation residual CNNs by Javier Naranjo-Alcazar et al
07-30-2021	A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks by Shubham Ekapure et al
07-30-2021	Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning by Robert Loftin et al
07-28-2021	Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection by Michail Tsiaousis et al
07-28-2021	Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases by Anusua Trivedi et al
07-30-2021	Debiased Explainable Pairwise Ranking from Implicit Feedback by Khalil Damak et al
07-28-2021	The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior by Bassam Helou et al
07-30-2021	On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals by Haizhou Shi et al
07-29-2021	Malware Classification Using Transfer Learning by Hikmat Farhat et al
07-28-2021	Evaluating the Use of Reconstruction Error for Novelty Localization by Patrick Feeney et al
07-29-2021	Did the Model Change? Efficiently Assessing Machine Learning API Shifts by Lingjiao Chen et al
07-28-2021	Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow by Yuxin He et al
07-29-2021	Open-World Entity Segmentation by Lu Qi et al
07-28-2021	Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System by Bang Xiang Yong et al
07-28-2021	Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs by Alishiba Dsouza et al
07-28-2021	Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information by Gholamali Aminian et al
07-27-2021	A Physiologically-Adapted Gold Standard for Arousal during Stress by Alice Baird et al
07-27-2021	Energy-Based Open-World Uncertainty Modeling for Confidence Calibration by Yezhen Wang et al
07-27-2021	Deep Variational Models for Collaborative Filtering-based Recommender Systems by Jesús Bobadilla et al
07-27-2021	Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals by Yuxin Zhang et al
07-30-2021	DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning by Guangfeng Yan et al
07-28-2021	Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases by Ettore Merlo et al
07-27-2021	Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment by Othmane Laousy et al
07-29-2021	MLMOD Package: Machine Learning Methods for Data-Driven Modeling in LAMMPS by Paul J. Atzberger
07-27-2021	Unsupervised Learning of Neurosymbolic Encoders by Eric Zhan et al
07-27-2021	Insights from Generative Modeling for Neural Video Compression by Ruihan Yang et al
07-27-2021	Pixyz: a library for developing deep generative models by Masahiro Suzuki et al
07-29-2021	HAFLO: GPU-Based Acceleration for Federated Logistic Regression by Xiaodian Cheng et al
07-29-2021	Non-Markovian Reinforcement Learning using Fractional Dynamics by Gaurav Gupta et al
07-28-2021	Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks by Vijay Lingam et al
07-28-2021	Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection by Amit Chaulwar et al
07-30-2021	Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization by Quoc Phong Nguyen et al
07-28-2021	Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study by Mattia Medina Grespan et al
07-28-2021	Q-Learning for Conflict Resolution in B5G Network Automation by Sayantini Majumdar et al
07-28-2021	Learned Optimizers for Analytic Continuation by Dongchen Huang et al
07-30-2021	When Deep Learners Change Their Mind: Learning Dynamics for Active Learning by Javad Zolfaghari Bengar et al
07-30-2021	Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges by Alican Akman et al
07-29-2021	Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda by Robert Huppertz et al
07-29-2021	Otimizacao de pesos e funcoes de ativacao de redes neurais aplicadas na previsao de series temporais by Gecynalda Gomes et al
07-30-2021	Artist Similarity with Graph Neural Networks by Filip Korzeniowski et al
07-27-2021	Dataset Distillation with Infinitely Wide Convolutional Networks by Timothy Nguyen et al
07-27-2021	Greedy Gradient Ensemble for Robust Visual Question Answering by Xinzhe Han et al
07-27-2021	Continual Learning with Neuron Activation Importance by Sohee Kim et al
07-28-2021	Competitive Control by Gautam Goel et al
07-28-2021	Demand Forecasting in Smart Grid Using Long Short-Term Memory by Koushik Roy et al
07-28-2021	Relational Graph Neural Networks for Fraud Detection in a Super-App environment by Jaime D. Acevedo-Viloria et al
07-28-2021	MARViN -- Multiple Arithmetic Resolutions Vacillating in Neural Networks by Lorenz Kummer et al
07-29-2021	Spatio-temporal graph neural networks for multi-site PV power forecasting by Jelena Simeunović et al
07-28-2021	Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens by Emanuele Lattanzi et al
07-28-2021	Imbalanced Adversarial Training with Reweighting by Wentao Wang et al
07-28-2021	A Reflection on Learning from Data: Epistemology Issues and Limitations by Ahmad Hammoudeh et al
07-28-2021	A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery by Yue Shi et al
07-29-2021	Semi-Supervised Active Learning with Temporal Output Discrepancy by Siyu Huang et al
07-30-2021	Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country -- Sri Lanka by Thilanka Munasinghe et al
07-29-2021	Guided Disentanglement in Generative Networks by Fabio Pizzati et al