2021.7.12 Learning papers

07-06-2021	CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation by Minha Kim et al
07-06-2021	Prioritized training on points that are learnable, worth learning, and not yet learned by Sören Mindermann et al
07-08-2021	Imitation by Predicting Observations by Andrew Jaegle et al
07-07-2021	Probabilistic partition of unity networks: clustering based deep approximation by Nat Trask et al
07-06-2021	AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style by Yuzi Yan et al
07-08-2021	Bag of Tricks for Neural Architecture Search by Thomas Elsken et al
07-08-2021	A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware by Philipp Plank et al
07-06-2021	New Methods and Datasets for Group Anomaly Detection From Fundamental Physics by Gregor Kasieczka et al
07-08-2021	Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models by Daniel Park et al
07-08-2021	Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation by Nikolay Jetchev et al
07-07-2021	A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution by Rao Muhammad Umer et al
07-06-2021	Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering by Dumindu Tissera et al
07-09-2021	Using Machine Translation to Localize Task Oriented NLG Output by Scott Roy et al
07-08-2021	Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration by Saad Abbasi et al
07-07-2021	Scopeformer: n-CNN-ViT Hybrid Model for Intracranial Hemorrhage Classification by Yassine Barhoumi et al
07-07-2021	DER Forecast using Privacy Preserving Federated Learning by Venkatesh Venkataramanan et al
07-09-2021	Multi-headed Neural Ensemble Search by Ashwin Raaghav Narayanan et al
07-09-2021	Training a Deep Neural Network via Policy Gradients for Blind Source Separation in Polyphonic Music Recordings by Sören Schulze et al
07-08-2021	Offline Meta-Reinforcement Learning with Online Self-Supervision by Vitchyr H. Pong et al
07-08-2021	Direct detection of plasticity onset through total-strain profile evolution by Stefanos Papanikolaou et al
07-09-2021	Optimal Gradient-based Algorithms for Non-concave Bandit Optimization by Baihe Huang et al
07-07-2021	Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research by Juan Jose Garau-Luis et al
07-08-2021	The Three Ensemble Clustering (3EC) Algorithm for Pattern Discovery in Unsupervised Learning by Kundu et al
07-06-2021	Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks by Daesung Yu et al
07-06-2021	Intrinsic uncertainties and where to find them by Francesco Farina et al
07-09-2021	Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation by Ian D. Kivlichan et al
07-09-2021	Graph-based Deep Generative Modelling for Document Layout Generation by Sanket Biswas et al
07-06-2021	Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction by Wele Gedara Chaminda Bandara et al
07-07-2021	On Training Instance Selection for Few-Shot Neural Text Generation by Ernie Chang et al
07-09-2021	Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance by René Carmona et al
07-06-2021	Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification by Jana Lang et al
07-09-2021	UniRE: A Unified Label Space for Entity Relation Extraction by Yijun Wang et al
07-08-2021	Learning to Delegate for Large-scale Vehicle Routing by Sirui Li et al
07-06-2021	A deep-learning--based multimodal depth-aware dynamic hand gesture recognition system by Hasan Mahmud et al
07-06-2021	Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling by Kai Wang et al
07-07-2021	Scalable Data Balancing for Unlabeled Satellite Imagery by Deep Patel et al
07-07-2021	Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis by Yanqiao Zhu et al
07-09-2021	Bib2Auth: Deep Learning Approach for Author Disambiguation using Bibliographic Data by Zeyd Boukhers et al
07-08-2021	A hybrid virtual sensing approach for approximating non-linear dynamic system behavior using LSTM networks by Leonhard Heindel et al
07-07-2021	Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions by Tianbo Li et al
07-06-2021	Test for non-negligible adverse shifts by Vathy M. Kamulete
07-06-2021	Keiki: Towards Realistic Danmaku Generation via Sequential GANs by Ziqi Wang et al
07-08-2021	Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning by Akshay Mehra et al
07-06-2021	Shell Language Processing: Unix command parsing for Machine Learning by Dmitrijs Trizna
07-06-2021	Causal Bandits on General Graphs by Aurghya Maiti et al
07-06-2021	Counterfactual Explanations in Sequential Decision Making Under Uncertainty by Stratis Tsirtsis et al
07-07-2021	Exact Learning Augmented Naive Bayes Classifier by Shouta Sugahara et al
07-07-2021	SelfCF: A Simple Framework for Self-supervised Collaborative Filtering by Xin Zhou et al
07-08-2021	Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation by Lucas Fidon et al
07-08-2021	Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning by Barna Pasztor et al
07-06-2021	Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons by Zuowei Shen et al
07-06-2021	Dirichlet Energy Constrained Learning for Deep Graph Neural Networks by Kaixiong Zhou et al
07-07-2021	Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition by Lantian Zhang et al
07-09-2021	Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion by Zeeshan Ahmad et al
07-08-2021	Adaptation of Quadruped Robot Locomotion with Meta-Learning by Arsen Kuzhamuratov et al
07-09-2021	Specialists Outperform Generalists in Ensemble Classification by Sascha Meyen et al
07-09-2021	Generalization of the Change of Variables Formula with Applications to Residual Flows by Niklas Koenen et al
07-08-2021	Multitask Multi-database Emotion Recognition by Manh Tu Vu et al
07-08-2021	Multi-Modality Task Cascade for 3D Object Detection by Jinhyung Park et al
07-08-2021	Quadruplet Deep Metric Learning Model for Imbalanced Time-series Fault Diagnosis by Xingtai Gui et al
07-09-2021	Learning to Detect Adversarial Examples Based on Class Scores by Tobias Uelwer et al
07-07-2021	Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations by Iván Cantador et al
07-07-2021	Model Selection for Generic Contextual Bandits by Avishek Ghosh et al
07-08-2021	Even Faster SNN Simulation with Lazy+Event-driven Plasticity and Shared Atomics by Dennis Bautembach et al
07-07-2021	On Codomain Separability and Label Inference from (Noisy) Loss Functions by Abhinav Aggarwal et al
07-06-2021	Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4 by Nam Kyun Kim et al
07-07-2021	Differentiable Architecture Pruning for Transfer Learning by Nicolo Colombo et al
07-06-2021	A Short Note on the Relationship of Information Gain and Eluder Dimension by Kaixuan Huang et al
07-07-2021	Bias-Tolerant Fair Classification by Yixuan Zhang et al
07-06-2021	GAN-based Data Augmentation for Chest X-ray Classification by Shobhita Sundaram et al
07-07-2021	Impossibility results for fair representations by Tosca Lechner et al
07-08-2021	Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers by Ruihan Yang et al
07-08-2021	Predicting Disease Progress with Imprecise Lab Test Results by Mei Wang et al
07-09-2021	Online Adaptation to Label Distribution Shift by Ruihan Wu et al
07-06-2021	Learned Visual Navigation for Under-Canopy Agricultural Robots by Arun Narenthiran Sivakumar et al
07-06-2021	Depth-supervised NeRF: Fewer Views and Faster Training for Free by Kangle Deng et al
07-06-2021	Generalization Error Analysis of Neural networks with Gradient Based Regularization by Lingfeng Li et al
07-06-2021	Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning by Maxwell Nye et al
07-09-2021	Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention by Jingwei Zhang et al
07-09-2021	A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems by Timo Bertram et al
07-09-2021	Deep Image Synthesis from Intuitive User Input: A Review and Perspectives by Yuan Xue et al
07-09-2021	Aligning an optical interferometer with beam divergence control and continuous action space by Stepan Makarenko et al
07-07-2021	Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification by Gonzalo Nápoles et al
07-09-2021	Redescription Model Mining by Felix I. Stamm et al
07-09-2021	A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification by Giampaolo Bovenzi et al
07-07-2021	Discriminative Mutual Information Estimators for Channel Capacity Learning by Nunzio A. Letizia et al
07-09-2021	Understanding the Distributions of Aggregation Layers in Deep Neural Networks by Eng-Jon Ong et al
07-09-2021	How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice by Tom Vermeire et al
07-07-2021	Deep Learning for Two-Sided Matching by Sai Srivatsa Ravindranath et al
07-07-2021	Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation by Mohammad Hamghalam et al
07-09-2021	Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty by Moritz Knolle et al
07-08-2021	Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation by Alexander Ivanov et al
07-08-2021	Image Resolution Susceptibility of Face Recognition Models by Martin Knoche et al
07-06-2021	Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings by Xinyu Wang et al
07-08-2021	Locally differentially private estimation of nonlinear functionals of discrete distributions by Cristina Butucea et al
07-06-2021	Immunization of Pruning Attack in DNN Watermarking Using Constant Weight Code by Minoru Kuribayashi et al
07-06-2021	Deep Extrapolation for Attribute-Enhanced Generation by Alvin Chan et al
07-06-2021	Rethinking Positional Encoding by Jianqiao Zheng et al
07-06-2021	From Zero to The Hero: A Collaborative Market Aware Recommendation System for Crowd Workers by Hamid Shamszare et al
07-06-2021	Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy by Anish Agarwal et al
07-06-2021	SAGE: Intrusion Alert-driven Attack Graph Extractor by Azqa Nadeem et al
07-09-2021	Likelihood ratio-based policy gradient methods for distorted risk measures: A non-asymptotic analysis by Nithia Vijayan et al
07-09-2021	Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression by Vincent Mai et al
07-09-2021	Offline reinforcement learning with uncertainty for treatment strategies in sepsis by Ran Liu et al
07-08-2021	Probabilistic Time Series Forecasting with Implicit Quantile Networks by Adèle Gouttes et al
07-07-2021	Combined Global and Local Search for Optimization with Gaussian Process Models by Qun Meng et al
07-06-2021	Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs by Sourav Dutta et al

07-07-2021	Evaluating Large Language Models Trained on Code by Mark Chen et al
07-08-2021	On Margins and Derandomisation in PAC-Bayes by Felix Biggs et al
07-08-2021	MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs by Lulu Zhang et al
07-08-2021	CamTuner: Reinforcement-Learning based System for Camera Parameter Tuning to enhance Analytics by Sibendu Paul et al
07-07-2021	Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach by Quan Duong et al
07-08-2021	A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models by Firoj Alam et al
07-07-2021	Predicting with Confidence on Unseen Distributions by Devin Guillory et al
07-07-2021	Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework by Benoit Fuentes et al
07-07-2021	RoFL: Attestable Robustness for Secure Federated Learning by Lukas Burkhalter et al
07-07-2021	SoundStream: An End-to-End Neural Audio Codec by Neil Zeghidour et al
07-08-2021	Optimizing Data Processing in Space for Object Detection in Satellite Imagery by Martina Lofqvist et al
07-06-2021	Dynamical System Parameter Identification using Deep Recurrent Cell Networks by Erdem Akagündüz et al
07-09-2021	ViTGAN: Training GANs with Vision Transformers by Kwonjoon Lee et al
07-07-2021	Self-organized criticality in neural networks by Mikhail I. Katsnelson et al
07-06-2021	Distributed stochastic optimization with large delays by Zhengyuan Zhou et al
07-09-2021	Universal Multilayer Network Exploration by Random Walk with Restart by Anthony Baptista et al
07-08-2021	Accelerating Spherical k-Means by Erich Schubert et al
07-08-2021	A Triangle Inequality for Cosine Similarity by Erich Schubert
07-08-2021	Scaling Gaussian Processes with Derivative Information Using Variational Inference by Misha Padidar et al
07-06-2021	A Multi-Objective Approach for Sustainable Generative Audio Models by Constance Douwes et al
07-06-2021	Differentially private federated deep learning for multi-site medical image segmentation by Alexander Ziller et al
07-09-2021	The Bayesian Learning Rule by Mohammad Emtiyaz Khan et al
07-08-2021	Many Objective Bayesian Optimization by Lucia Asencio Martín et al
07-08-2021	3D Neural Scene Representations for Visuomotor Control by Yunzhu Li et al
07-07-2021	Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis by Luka Grbčić et al
07-09-2021	ANCER: Anisotropic Certification via Sample-wise Volume Maximization by Francisco Eiras et al
07-06-2021	DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search by Matti Karppa et al
07-09-2021	Form2Seq : A Framework for Higher-Order Form Structure Extraction by Milan Aggarwal et al
07-07-2021	RISAN: Robust Instance Specific Abstention Network by Bhavya Kalra et al
07-09-2021	Exploring Dropout Discriminator for Domain Adaptation by Vinod K Kurmi et al
07-07-2021	Neural Contextual Bandits without Regret by Parnian Kassraie et al
07-09-2021	ARC: Adversarially Robust Control Policies for Autonomous Vehicles by Sampo Kuutti et al
07-09-2021	Convergence analysis for gradient flows in the training of artificial neural networks with ReLU activation by Arnulf Jentzen et al
07-08-2021	Malware Classification Using Deep Boosted Learning by Muhammad Asam et al
07-06-2021	DTGAN: Differential Private Training for Tabular GANs by Aditya Kunar et al
07-07-2021	IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation by Muhammed Sit et al
07-07-2021	In-Network Learning: Distributed Training and Inference in Networks by Matei Moldoveanu et al
07-08-2021	Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification by Niccolò Dalmasso et al
07-06-2021	VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer by Zineng Tang et al
07-07-2021	An algorithmic view of ℓ2ℓ2 regularization and some path-following algorithms by Yunzhang Zhu et al
07-07-2021	Enhancing an Intelligent Digital Twin with a Self-organized Reconfiguration Management based on Adaptive Process Models by Timo Müller et al
07-08-2021	Consistency of the Maximal Information Coefficient Estimator by John Lazarsfeld et al
07-06-2021	On Generalization of Graph Autoencoders with Adversarial Training by Tianjin huang et al
07-06-2021	Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence by Po-Kan Shih et al
07-09-2021	A Survey on Low-Resource Neural Machine Translation by Rui Wang et al
07-09-2021	Understanding surrogate explanations: the interplay between complexity, fidelity and coverage by Rafael Poyiadzi et al
07-06-2021	Transfer Learning in Information Criteria-based Feature Selection by Shaohan Chen et al
07-08-2021	Machine Learning for Stuttering Identification: Review, Challenges & Future Directions by Shakeel Ahmad Sheikh et al
07-08-2021	3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image by Haibo Qi et al
07-08-2021	Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform by Bo Liu et al
07-08-2021	Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) by Michael A. Hedderich et al
07-07-2021	Samplets: A new paradigm for data compression by Helmut Harbrecht et al
07-09-2021	Behavior Self-Organization Supports Task Inference for Continual Robot Learning by Muhammad Burhan Hafez et al
07-07-2021	Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities by Rian Dolphin et al
07-07-2021	Differentiable Random Access Memory using Lattices by Adam P. Goucher et al
07-07-2021	Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network by Koushik Biswas et al
07-09-2021	Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection by Fu-Shun Hsu et al
07-07-2021	Adaptive Stress Testing for Adversarial Learning in a Financial Environment by Khalid El-Awady
07-07-2021	Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease by Akis Linardos et al
07-06-2021	A Model-Driven Engineering Approach to Machine Learning and Software Modeling by Armin Moin et al
07-07-2021	Management of Resource at the Network Edge for Federated Learning by Silvana Trindade et al
07-09-2021	Improved Breath Phase and Continuous Adventitious Sound Detection in Lung and Tracheal Sound Using Mixed Set Training and Domain Adaptation by Fu-Shun Hsu et al
07-07-2021	Efficient Matrix-Free Approximations of Second-Order Information, with Applications to Pruning and Optimization by Elias Frantar et al
07-07-2021	KaFiStO: A Kalman Filtering Framework for Stochastic Optimization by Aram Davtyan et al
07-06-2021	Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference by Nihar Sawant et al
07-07-2021	ADAPT : Awesome Domain Adaptation Python Toolbox by Antoine de Mathelin et al
07-08-2021	Sublinear Regret for Learning POMDPs by Yi Xiong et al
07-08-2021	Greedy structure learning from data that contains systematic missing values by Yang Liu et al
07-09-2021	Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification by Emadeldeen Eldele et al
07-08-2021	Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables by Arber Qoku et al
07-09-2021	REX: Revisiting Budgeted Training with an Improved Schedule by John Chen et al
07-08-2021	Probabilistic Trajectory Prediction with Structural Constraints by Weiming Zhi et al
07-08-2021	Structured Model Pruning of Convolutional Networks on Tensor Processing Units by Kongtao Chen et al
07-08-2021	Active Safety Envelopes using Light Curtains with Probabilistic Guarantees by Siddharth Ancha et al
07-06-2021	Neural Computing by Ayushe Gangal et al
07-09-2021	Multiaccurate Proxies for Downstream Fairness by Emily Diana et al
07-07-2021	A Survey of Uncertainty in Deep Neural Networks by Jakob Gawlikowski et al
07-08-2021	EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments by Jacob Donley et al
07-08-2021	Generalization Error of GAN from the Discriminators Perspective by Hongkang Yang et al
07-07-2021	A Closed-Form Approximation to the Conjugate Prior of the Dirichlet and Beta Distributions by Kaspar Thommen
07-07-2021	Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks by Mohammed S. Al-Abiad et al
07-08-2021	Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases by Subhashini Venugopalan et al
07-07-2021	Rating and aspect-based opinion graph embeddings for explainable recommendations by Iván Cantador et al
07-07-2021	S3S3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks by Xinlin Li et al
07-06-2021	Remote sensing, AI and innovative prediction methods for adapting cities to the impacts of the climate change by Beril Sirmacek
07-08-2021	Federated Learning as a Mean-Field Game by Arash Mehrjou
07-08-2021	Augmented Data as an Auxiliary Plug-in Towards Categorization of Crowdsourced Heritage Data by Shashidhar Veerappa Kudari et al
07-06-2021	ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services by Armin Moin et al
07-06-2021	GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization by Sungyoon Lee et al
07-06-2021	Equivariant bifurcation, quadratic equivariants, and symmetry breaking for the standard representation of SnSn by Yossi Arjevani et al
07-08-2021	Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs by Yikang Zhang et al
07-06-2021	Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows by Holden Lee et al
07-07-2021	Distributed adaptive algorithm based on the asymmetric cost of error functions by Sihai Guan et al
07-08-2021	Personalized Federated Learning over non-IID Data for Indoor Localization by Peng Wu et al
07-07-2021	Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries by Benjamin Maschler et al
07-09-2021	Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations by Pranshu Pant et al
07-08-2021	RMA: Rapid Motor Adaptation for Legged Robots by Ashish Kumar et al
07-06-2021	A Unified Off-Policy Evaluation Approach for General Value Function by Tengyu Xu et al
07-06-2021	Enabling Un-/Semi-Supervised Machine Learning for MDSE of the Real-World CPS/IoT Applications by Armin Moin et al
07-09-2021	Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data by Sampo Kuutti et al
07-09-2021	IDRLnet: A Physics-Informed Neural Network Library by Wei Peng et al
07-06-2021	The QR decomposition for radial neural networks by Iordan Ganev et al
07-06-2021	Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification by Alkis Gotovos et al
07-06-2021	Supervised Bayesian Specification Inference from Demonstrations by Ankit Shah et al
07-06-2021	Does Dataset Complexity Matters for Model Explainers? by José Ribeiro et al
07-07-2021	BumbleBee: A Transformer for Music by Lucas Fenaux et al
07-06-2021	EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data by Florian Haselbeck et al
07-06-2021	DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations by J. Wang et al
07-06-2021	Evaluating subgroup disparity using epistemic uncertainty in mammography by Charles Lu et al
07-06-2021	Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs by Anna Guitart et al
07-07-2021	AGD-Autoencoder: Attention Gated Deep Convolutional Autoencoder for Brain Tumor Segmentation by Tim Cvetko
07-09-2021	Safe Exploration by Solving Early Terminated MDP by Hao Sun et al
07-09-2021	Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling by Paraskevi Nousi et al
07-08-2021	MCMC Variational Inference via Uncorrected Hamiltonian Annealing by Tomas Geffner et al
07-07-2021	Controlled Caption Generation for Images Through Adversarial Attacks by Nayyer Aafaq et al
07-09-2021	Group-Node Attention for Community Evolution Prediction by Matt Revelle et al
07-06-2021	Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps by Samuel Budd et al
07-06-2021	Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors by Dhruv V Patel et al
07-07-2021	A comparative study of various Deep Learning techniques for spatio-temporal Super-Resolution reconstruction of Forced Isotropic Turbulent flows by T. S. Sachin Venkatesh et al
07-06-2021	Principles for Evaluation of AI/ML Model Performance and Robustness by Olivia Brown et al
07-07-2021	CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation by Yusuke Tashiro et al
07-07-2021	Nested Counterfactual Identification from Arbitrary Surrogate Experiments by Juan D Correa et al
07-08-2021	Analytically Tractable Hidden-States Inference in Bayesian Neural Networks by Luong-Ha Nguyen et al
07-09-2021	FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning by Di Wu et al
07-06-2021	Semantic Segmentation Alternative Technique: Segmentation Domain Generation by Ana-Cristina Rogoz et al
07-08-2021	On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models by Xiaohui Zhang et al
07-06-2021	Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks by Jun Shu et al
07-09-2021	Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation by Alexander Ziller et al
07-09-2021	On the Variance of the Fisher Information for Deep Learning by Alexander Soen et al
07-09-2021	BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym by Rika Antonova et al
07-06-2021	Improving Text-to-Image Synthesis Using Contrastive Learning by Hui Ye et al
07-08-2021	Ensembles of Randomized NNs for Pattern-based Time Series Forecasting by Grzegorz Dudek et al
07-08-2021	Bootstrapping Generalization of Process Models Discovered From Event Data by Artem Polyvyanyy et al
07-06-2021	A new smart-cropping pipeline for prostate segmentation using deep learning networks by Dimitrios G. Zaridis et al
07-09-2021	Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation by Xuezhong Lin et al
07-06-2021	Implicit Variational Conditional Sampling with Normalizing Flows by Vincent Moens et al
07-06-2021	An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data by Weiwei Jiang et al
07-07-2021	Episodic Bandits with Stochastic Experts by Nihal Sharma et al
07-06-2021	Multi-Level Graph Contrastive Learning by Pengpeng Shao et al
07-08-2021	Towards Robust Active Feature Acquisition by Yang Li et al
07-08-2021	SpecGrav -- Detection of Gravitational Waves using Deep Learning by Hrithika Dodia et al
07-07-2021	Structured Denoising Diffusion Models in Discrete State-Spaces by Jacob Austin et al
07-08-2021	Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models by Felix L. Rios et al
07-08-2021	SSSE: Efficiently Erasing Samples from Trained Machine Learning Models by Alexandra Peste et al
07-08-2021	MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications by Nikhil Pratap Ghanathe et al
07-08-2021	Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review by Ahmad Kamal BIN MOHD NOR et al
07-06-2021	Dueling Bandits with Team Comparisons by Lee Cohen et al
07-06-2021	Provable Lipschitz Certification for Generative Models by Matt Jordan et al
07-07-2021	MD-split+: Practical Local Conformal Inference in High Dimensions by Benjamin LeRoy et al
07-06-2021	InfoNCE is a variational autoencoder by Laurence Aitchison
07-09-2021	White-Box Cartoonization Using An Extended GAN Framework by Amey Thakur et al
07-07-2021	Urban Tree Species Classification Using Aerial Imagery by Emily Waters et al
07-09-2021	Hoechst Is All You Need: LymphocyteClassification with Deep Learning by Jessica Cooper et al
07-06-2021	Deep Visual Attention-Based Transfer Clustering by Akshaykumar Gunari et al
07-06-2021	Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation by Giammarco La Barbera et al
07-08-2021	Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images by Nico Zettler et al
07-06-2021	Logit-based Uncertainty Measure in Classification by Huiyu Wu et al
07-08-2021	Robust Counterfactual Explanations on Graph Neural Networks by Mohit Bajaj et al
07-08-2021	Improving Model Robustness with Latent Distribution Locally and Globally by Zhuang Qian et al
07-06-2021	An Inverse QSAR Method Based on Linear Regression and Integer Programming by Jianshen Zhu et al
07-08-2021	Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer by Mohamad Wehbi et al
07-07-2021	Are you sure?: Preliminary Insights from Scaling Product Comparisons to Multiple Shops by Patrick John Chia et al
07-07-2021	Incorporating Label Uncertainty in Understanding Adversarial Robustness by Xiao Zhang et al
07-06-2021	CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference by Zhiyu Chen et al
07-07-2021	Sleep syndromes onset detection based on automatic sleep staging algorithm by Tim Cvetko et al
07-06-2021	Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions by Mattia Prosperi et al
07-08-2021	Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles by Argyrios Vartholomaios et al
07-06-2021	RAM-VO: Less is more in Visual Odometry by Iury Cleveston et al
07-06-2021	AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning by Biwei Huang et al
07-09-2021	Continual Learning in the Teacher-Student Setup: Impact of Task Similarity by Sebastian Lee et al
07-09-2021	Model compression as constrained optimization, with application to neural nets. Part V: combining compressions by Miguel Á. Carreira-Perpiñán et al
07-06-2021	Meta-Reinforcement Learning for Heuristic Planning by Ricardo Luna Gutierrez et al
07-08-2021	Elastic deformation of optical coherence tomography images of diabetic macular edema for deep-learning models training: how far to go? by Daniel Bar-David et al