2021.8.23 Learning papers

08-18-2021	Trends in Neural Architecture Search: Towards the Acceleration of Search by Youngkee Kim et al
08-18-2021	Moser Flow: Divergence-based Generative Modeling on Manifolds by Noam Rozen et al
08-18-2021	Single-DARTS: Towards Stable Architecture Search by Pengfei Hou et al
08-18-2021	Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure by George Deligiannidis et al
08-18-2021	Stack Index Prediction Using Time-Series Analysis by Raja CSP Raman et al
08-19-2021	Deep Learning-based Spacecraft Relative Navigation Methods: A Survey by Jianing Song et al
08-19-2021	Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data by Parham Yazdekhasty et al
08-19-2021	Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization by Can Bogoclu et al
08-18-2021	On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity by Khang Le et al
08-19-2021	Towards More Efficient Federated Learning with Better Optimization Objects by Zirui Zhu et al
08-18-2021	Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach by Jinlei Zhang et al
08-19-2021	Spatially-Adaptive Image Restoration using Distortion-Guided Networks by Kuldeep Purohit et al
08-17-2021	Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation by Fei Zheng et al
08-17-2021	Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification by Hilal AlQuabeh et al
08-17-2021	MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions by Penghua Zhai et al
08-17-2021	RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks by Feng Sun et al
08-19-2021	CloudShield: Real-time Anomaly Detection in the Cloud by Zecheng He et al
08-19-2021	Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification by Yongming Rao et al
08-19-2021	Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves by Pieter Cawood et al
08-19-2021	Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision by Tilman Krokotsch et al
08-17-2021	A new semi-supervised inductive transfer learning framework: Co-Transfer by Ze Yuan et al
08-20-2021	State-Of-The-Art Algorithms For Low-Rank Dynamic Mode Decomposition by Patrick Heas et al
08-20-2021	SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning by Ege Erdogan et al
08-18-2021	Variational Graph Normalized Auto-Encoders by Seong Jin Ahn et al
08-18-2021	DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning by Triet H. M. Le et al
08-18-2021	Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability by Niamh Belton et al
08-18-2021	Classification of Diabetic Retinopathy Severity in Fundus Images with DenseNet121 and ResNet50 by Jonathan Zhang et al
08-19-2021	Personalized next-best action recommendation with multi-party interaction learning for automated decision-making by Longbing Cao et al
08-19-2021	Czech News Dataset for Semanic Textual Similarity by Jakub Sido et al
08-17-2021	Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task by Angel Ayala et al
08-18-2021	Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search by Zheng Zhan et al
08-19-2021	Communication-Efficient Federated Learning via Robust Distributed Mean Estimation by Shay Vargaftik et al
08-18-2021	Self-Supervised Video Representation Learning with Meta-Contrastive Network by Yuanze Lin et al
08-17-2021	TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems by Xiaoqian Chen et al
08-18-2021	Data-driven Modeling for Distribution Grids Under Partial Observability by Shanny Lin et al
08-17-2021	HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering by Ali Aghdaei et al
08-17-2021	M-ar-K-Fast Independent Component Analysis by Luca Parisi
08-17-2021	A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems by Xiaoqiang Wang et al
08-19-2021	SiReN: Sign-Aware Recommendation Using Graph Neural Networks by Changwon Seo et al
08-17-2021	Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory by Weier Wan et al
08-17-2021	Aggregated Customer Engagement Model by Priya Gupta et al
08-18-2021	Improving Human Decision-Making with Machine Learning by Hamsa Bastani et al
08-18-2021	Blockchain Phishing Scam Detection via Multi-channel Graph Classification by Dunjie Zhang et al
08-17-2021	Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model by Chiranjibi Sitaula et al
08-18-2021	Learning to Detect: A Data-driven Approach for Network Intrusion Detection by Zachary Tauscher et al
08-18-2021	Effective and scalable clustering of SARS-CoV-2 sequences by Sarwan Ali et al
08-19-2021	Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach by Chuanbo Hu et al
08-19-2021	Determinant-free fermionic wave function using feed-forward neural network by Koji Inui et al
08-19-2021	A Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles by Sagar Dasgupta et al
08-20-2021	Contrastive Representations for Label Noise Require Fine-Tuning by Pierre Nodet et al
08-17-2021	Direct domain adaptation through reciprocal linear transformations by Tariq Alkhalifah et al
08-17-2021	Clustering dynamics on graphs: from spectral clustering to mean shift through Fokker-Planck interpolation by Katy Craig et al
08-17-2021	Learning to Collaborate by Sen Cui et al
08-18-2021	Stochastic Cluster Embedding by Zhirong Yang et al
08-20-2021	Towards Understanding the Generative Capability of Adversarially Robust Classifiers by Yao Zhu et al
08-20-2021	DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction by Renhe Jiang et al
08-20-2021	A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets by Gonzalo Nápoles et al
08-17-2021	Affect-Aware Deep Belief Network Representations for Multimodal Unsupervised Deception Detection by Leena Mathur et al
08-19-2021	Using Multilevel Circulant Matrix Approximate to Speed Up Kernel Logistic Regression by Junna~Zhang et al
08-19-2021	Application of Adversarial Examples to Physical ECG Signals by Taiga Ono et al
08-18-2021	Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images by Hongruixuan Chen et al
08-19-2021	Comparing concepts of quantum and classical neural network models for image classification task by Sebastian Porebski et al
08-19-2021	Batch Curation for Unsupervised Contrastive Representation Learning by Michael C. Welle et al
08-19-2021	Topo2vec: Topography Embedding Using the Fractal Effect by Jonathan Kavitzky et al
08-19-2021	Learning Equilibria in Matching Markets from Bandit Feedback by Meena Jagadeesan et al
08-19-2021	Multi-Center Federated Learning by Ming Xie et al
08-19-2021	Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields by Matan Atzmon et al
08-19-2021	Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning by Anirban Das et al
08-19-2021	A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles by Sagar Dasgupta et al
08-19-2021	An Innovative Attack Modelling and Attack Detection Approach for a Waiting Time-based Adaptive Traffic Signal Controller by Sagar Dasgupta et al
08-19-2021	Teaching Uncertainty Quantification in Machine Learning through Use Cases by Matias Valdenegro-Toro
08-18-2021	Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL by Lu Wen et al
08-18-2021	Fair and Consistent Federated Learning by Sen Cui et al
08-20-2021	Group-based Distinctive Image Captioning with Memory Attention by Jiuniu Wang et al
08-18-2021	Computing Steiner Trees using Graph Neural Networks by Reyan Ahmed et al
08-18-2021	XAI Methods for Neural Time Series Classification: A Brief Review by Ilija Šimić et al
08-19-2021	A Framework for Neural Topic Modeling of Text Corpora by Shayan Fazeli et al
08-19-2021	Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators by Zihang Meng et al
08-18-2021	Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing by Ghodai Abdelrahman et al
08-19-2021	Threshold Phenomena in Learning Halfspaces with Massart Noise by Ilias Diakonikolas et al
08-19-2021	Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation by Zhihan Liu et al
08-19-2021	Dynamic Difficulty Adjustment in Virtual Reality Exergames through Experience-driven Procedural Content Generation by Tobias Huber et al
08-17-2021	Estimating smooth and sparse neural receptive fields with a flexible spline basis by Ziwei Huang et al
08-17-2021	Compressing gradients by exploiting temporal correlation in momentum-SGD by Tharindu B. Adikari et al
08-17-2021	O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed by Mengquan Li et al
08-18-2021	Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes by Mingjun Yin et al
08-20-2021	Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation by Luo Ji et al
08-17-2021	Data Pricing in Machine Learning Pipelines by Zicun Cong et al
08-18-2021	DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction by Siyuan Ren et al
08-17-2021	ImitAL: Learning Active Learning Strategies from Synthetic Data by Julius Gonsior et al
08-19-2021	Semi-supervised learning for medical image classification using imbalanced training data by Tri Huynh et al
08-19-2021	Mitigating Greenhouse Gas Emissions Through Generative Adversarial Networks Based Wildfire Prediction by Sifat Chowdhury et al
08-17-2021	Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data by Zilong Zhao et al
08-19-2021	Do Vision Transformers See Like Convolutional Neural Networks? by Maithra Raghu et al
08-17-2021	Semi-parametric Bayesian Additive Regression Trees by Estevão B. Prado et al
08-17-2021	Incremental cluster validity index-guided online learning for performance and robustness to presentation order by Leonardo Enzo Brito da Silva et al
08-17-2021	AGNet: Weighing Black Holes with Deep Learning by Joshua Yao-Yu Lin et al
08-19-2021	Concurrent Discrimination and Alignment for Self-Supervised Feature Learning by Anjan Dutta et al
08-18-2021	Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series by Jinhua Guo et al
08-18-2021	Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections by Taewoon Kim
08-18-2021	Medical Image Segmentation using 3D Convolutional Neural Networks: A Review by S. Niyas et al
08-18-2021	Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks by Weicheng Ma et al
08-19-2021	Risk Bounds and Calibration for a Smart Predict-then-Optimize Method by Heyuan Liu et al
08-19-2021	Plug and Play, Model-Based Reinforcement Learning by Majid Abdolshah et al
08-17-2021	Modulating Language Models with Emotions by Ruibo Liu et al
08-17-2021	When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples by Maximilian Samsinger et al
08-19-2021	Twitter User Representation using Weakly Supervised Graph Embedding by Tunazzina Islam et al
08-17-2021	GCCAD: Graph Contrastive Coding for Anomaly Detection by Bo Chen et al
08-18-2021	Confidence Adaptive Regularization for Deep Learning with Noisy Labels by Yangdi Lu et al
08-20-2021	Quantization Backdoors to Deep Learning Models by Hua Ma et al
08-17-2021	Optimal Placement of Public Electric Vehicle Charging Stations Using Deep Reinforcement Learning by Aidan Petratos et al
08-19-2021	MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Images by S J Pawan et al
08-19-2021	Learning-to-learn non-convex piecewise-Lipschitz functions by Maria-Florina Balcan et al
08-18-2021	ALLNet: A Hybrid Convolutional Neural Network to Improve Diagnosis of Acute Lymphocytic Leukemia (ALL) in White Blood Cells by Sai Mattapalli et al
08-18-2021	CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations by Peyman Rasouli et al
08-19-2021	ASAT: Adaptively Scaled Adversarial Training in Time Series by Zhiyuan Zhang et al
08-18-2021	FeelsGoodMan: Inferring Semantics of Twitch Neologisms by Pavel Dolin et al
08-19-2021	Temporal Graph Network Embedding with Causal Anonymous Walks Representations by Ilya Makarov et al
08-19-2021	A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning by Dai Feng et al
08-20-2021	Deep Sequence Modeling: Development and Applications in Asset Pricing by Lin William Cong et al
08-19-2021	Few Shot Activity Recognition Using Variational Inference by Neeraj Kumar et al
08-20-2021	Distributionally Robust Learning by Ruidi Chen et al
08-20-2021	Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization by Mohammad Mahfujur Rahman et al
08-17-2021	MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation by Hojoon Lee et al
08-17-2021	Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT by Chen-Feng Liu et al
08-19-2021	Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning by Andrea Zanette et al

08-19-2021	PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers by Xumin Yu et al
08-19-2021	Understanding and Mitigating Annotation Bias in Facial Expression Recognition by Yunliang Chen et al
08-19-2021	Settling the Variance of Multi-Agent Policy Gradients by Jakub Grudzien Kuba et al
08-19-2021	Inverse design optimization framework via a two-step deep learning approach: application to a wind turbine airfoil by Sunwoong Yang et al
08-20-2021	Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data by Zhipeng Cai et al
08-20-2021	Federated Distributionally Robust Optimization for Phase Configuration of RISs by Chaouki Ben Issaid et al
08-18-2021	Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks by Mariana Da Silva et al
08-18-2021	Out-of-Distribution Detection using Outlier Detection Methods by Jan Diers et al
08-18-2021	Combining K-means type algorithms with Hill Climbing for Joint Stratification and Sample Allocation Designs by Mervyn O'Luing et al
08-17-2021	How Powerful is Graph Convolution for Recommendation? by Yifei Shen et al
08-18-2021	Language Model Augmented Relevance Score by Ruibo Liu et al
08-18-2021	A Unified Framework for Cross-Domain and Cross-System Recommendations by Feng Zhu et al
08-18-2021	DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM by Farzan Shenavarmasouleh et al
08-17-2021	Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay by Tianhong Dai et al
08-17-2021	Group-aware Contrastive Regression for Action Quality Assessment by Xumin Yu et al
08-17-2021	RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection by Yongming Rao et al
08-20-2021	Airbert: In-domain Pretraining for Vision-and-Language Navigation by Pierre-Louis Guhur et al
08-20-2021	Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks by Chenyuan Feng et al
08-20-2021	UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning by Ege Erdogan et al
08-20-2021	AdvDrop: Adversarial Attack to DNNs by Dropping Information by Ranjie Duan et al
08-19-2021	MOFit: A Framework to reduce Obesity using Machine learning and IoT by Satvik Garg et al
08-19-2021	Global Convergence of the ODE Limit for Online Actor-Critic Algorithms in Reinforcement Learning by Ziheng Wang et al
08-18-2021	Analyze and Design Network Architectures by Recursion Formulas by Yilin Liao et al
08-17-2021	Verifying Low-dimensional Input Neural Networks via Input Quantization by Kai Jia et al
08-18-2021	Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better by Bojia Zi et al
08-17-2021	Panoramic Learning with A Standardized Machine Learning Formalism by Zhiting Hu et al
08-20-2021	Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks by Debasrita Chakraborty et al
08-20-2021	Accelerating Federated Learning with a Global Biased Optimiser by Jed Mills et al
08-20-2021	Unsupervised Domain-adaptive Hash for Networks by Tao He et al
08-18-2021	LOKI: Long Term and Key Intentions for Trajectory Prediction by Harshayu Girase et al
08-18-2021	Predicting Dynamic Stability of Power Grids using Graph Neural Networks by Christian Nauck et al
08-18-2021	Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion by Chuanbo Hu et al
08-18-2021	Temporal Kernel Consistency for Blind Video Super-Resolution by Lichuan Xiang et al
08-18-2021	Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic by Chung-Yi Lin et al
08-20-2021	Practical and Fast Momentum-Based Power Methods by Tahseen Rabbani et al
08-20-2021	Efficient Online Estimation of Causal Effects by Deciding What to Observe by Shantanu Gupta et al
08-20-2021	Optimal Order Simple Regret for Gaussian Process Bandits by Sattar Vakili et al
08-18-2021	RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving by Ruochen Wang et al
08-20-2021	User Localization Based on Call Detail Records by Buddhi Ayesha et al
08-20-2021	VAE-CE: Visual Contrastive Explanation using Disentangled VAEs by Yoeri Poels et al
08-19-2021	Pruning in the Face of Adversaries by Florian Merkle et al
08-18-2021	Transformers predicting the future. Applying attention in next-frame and time series forecasting by Radostin Cholakov et al
08-19-2021	Learning System Parameters from Turing Patterns by David Schnörr et al
08-17-2021	Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment by Binay Gupta et al
08-17-2021	Semantic Perturbations with Normalizing Flows for Improved Generalization by Oguz Kaan Yuksel et al
08-19-2021	Optimally Efficient Sequential Calibration of Binary Classifiers to Minimize Classification Error by Kaan Gokcesu et al
08-19-2021	Efficient remedies for outlier detection with variational autoencoders by Kushal Chauhan et al
08-17-2021	KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks by Jinyung Hong et al
08-17-2021	Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays by Somjit Nath et al
08-19-2021	Structure Learning for Directed Trees by Martin Emil Jakobsen et al
08-17-2021	Learning to Compute Approximate Nash Equilibrium for Normal-form Games by Zhijian Duan et al
08-19-2021	Residual Tensor Train: a Flexible and Efficient Approach for Learning Multiple Multilinear Correlations by Yiwei Chen et al
08-20-2021	TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction by Xiawei Guo et al
08-20-2021	Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS by Kalifou Rene Traore et al
08-19-2021	A Unified Objective for Novel Class Discovery by Enrico Fini et al
08-18-2021	MHealth: An Artificial Intelligence Oriented Mobile Application for Personal Healthcare Support by Ismail Ali Afrah et al
08-20-2021	A Recommender System for Scientific Datasets and Analysis Pipelines by Mandana Mazaheri et al
08-17-2021	Statistically Near-Optimal Hypothesis Selection by Olivier Bousquet et al
08-19-2021	Simple is better: Making Decision Trees faster using random sampling by Vignesh Nanda Kumar et al
08-19-2021	DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders by Nicola Garau et al
08-17-2021	Aggregation Delayed Federated Learning by Ye Xue et al
08-17-2021	Modeling Protein Using Large-scale Pretrain Language Model by Yijia Xiao et al
08-18-2021	De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective by Md Monowar Anjum et al
08-18-2021	X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics by Yehao Li et al
08-18-2021	Contrastive Identification of Covariate Shift in Image Data by Matthew L. Olson et al
08-20-2021	An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks by Mahdi Soltani et al
08-20-2021	Parsing Birdsong with Deep Audio Embeddings by Irina Tolkova et al
08-18-2021	Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention by Kahini Wadhawan et al
08-18-2021	QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction by Danqing Zhang et al
08-18-2021	Existence, uniqueness, and convergence rates for gradient flows in the training of artificial neural networks with ReLU activation by Simon Eberle et al
08-19-2021	Discriminating modelling approaches for Point in Time Economic Scenario Generation by Rui Wang
08-20-2021	Is it Time to Replace CNNs with Transformers for Medical Images? by Christos Matsoukas et al
08-17-2021	Coalesced Multi-Output Tsetlin Machines with Clause Sharing by Sondre Glimsdal et al
08-19-2021	Order Optimal One-Shot Federated Learning for non-Convex Loss Functions by Arsalan Sharifnassab et al
08-19-2021	On Accelerating Distributed Convex Optimizations by Kushal Chakrabarti et al
08-17-2021	Learning Federated Representations and Recommendations with Limited Negatives by Lin Ning et al
08-20-2021	Semi-supervised Network Embedding with Differentiable Deep Quantisation by Tao He et al
08-17-2021	Scaling Laws for Deep Learning by Jonathan S. Rosenfeld
08-20-2021	PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic by Weicong Ding et al
08-19-2021	Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain by Guangyao Chen et al
08-18-2021	A Multi-input Multi-output Transformer-based Hybrid Neural Network for Multi-class Privacy Disclosure Detection by A K M Nuhil Mehdy et al
08-18-2021	Image2Lego: Customized LEGO Set Generation from Images by Kyle Lennon et al
08-18-2021	Neural Operator: Learning Maps Between Function Spaces by Nikola Kovachki et al
08-20-2021	Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays by Oswin Krause et al
08-18-2021	Federated Variational Learning for Anomaly Detection in Multivariate Time Series by Kai Zhang et al
08-19-2021	Surrogate Assisted Strategies (The Parameterisation of an Infectious Disease Agent-Based Model) by Rylan Perumal et al
08-19-2021	Lifelong Computing by Danny Weyns et al
08-19-2021	EqGNN: Equalized Node Opportunity in Graphs by Uriel Singer et al
08-20-2021	FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update by Junyu Luo et al
08-17-2021	Coverage Hole Detection for mmWave Networks: An Unsupervised Learning Approach by Chethan K. Anjinappa et al
08-17-2021	OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting by Michael Fitzke et al
08-17-2021	SPAN: Subgraph Prediction Attention Network for Dynamic Graphs by Yuan Li et al
08-17-2021	Identifying Biased Subgroups in Ranking and Classification by Eliana Pastor et al
08-17-2021	An End-to-End Deep Learning Approach for Epileptic Seizure Prediction by Yankun Xu et al