2021.12.27 Learning papers

 

12-21-2021

StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation
by Roy Or-El et al

12-21-2021

Deep Learning and Earth Observation to Support the Sustainable Development Goals
by Claudio Persello et al

12-22-2021

Squareplus: A Softplus-Like Algebraic Rectifier
by Jonathan T. Barron

12-22-2021

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
by Lauren M. Sanders et al

12-22-2021

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
by Ryan T. Scott et al

12-23-2021

Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling
by Benjamin Freed et al

12-21-2021

Implicit Neural Video Compression
by Yunfan Zhang et al

12-23-2021

Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation
by Shaoshi Sun et al

12-21-2021

Max-Margin Contrastive Learning
by Anshul Shah et al

12-22-2021

Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning
by Felipe S. Abrahão et al

12-21-2021

More is Less: Inducing Sparsity via Overparameterization
by Hung-Hsu Chou et al

12-23-2021

Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
by Wenlong Mou et al

12-22-2021

Graph augmented Deep Reinforcement Learning in the GameRLand3D environment
by Edward Beeching et al

12-23-2021

Decentralized Multi-Task Stochastic Optimization With Compressed Communications
by Navjot Singh et al

12-23-2021

Equivariance and generalization in neural networks
by Srinath Bulusu et al

12-21-2021

Preserving gauge invariance in neural networks
by Matteo Favoni et al

12-23-2021

3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Na\ive
by Lei Wang et al

12-23-2021

Generalization capabilities of neural networks in lattice applications
by Srinath Bulusu et al

12-23-2021

PyCIL: A Python Toolbox for Class-Incremental Learning
by Da-Wei Zhou et al

12-22-2021

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?
by Ziwei Zhang et al

12-23-2021

Distilling the Knowledge of Romanian BERTs Using Multiple Teachers
by Andrei-Marius Avram et al

12-22-2021

How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
by Xinhsuai Dong et al

12-21-2021

Deep Learning Based Cloud Cover Parameterization for ICON
by Arthur Grundner et al

12-21-2021

INTRPRT: A Systematic Review of and Guidelines for Designing and Validating Transparent AI in Medical Image Analysis
by Haomin Chen et al

12-22-2021

A Survey of Natural Language Generation
by Chenhe Dong et al

12-22-2021

DRF Codes: Deep SNR-Robust Feedback Codes
by Mahdi Boloursaz Mashhadi et al

12-22-2021

On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares
by Trung Vu et al

12-21-2021

A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
by Aigerim Bogyrbayeva. Taehyun Yoon et al

12-21-2021

Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding
by Jacob Dorn et al

12-21-2021

Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information
by Jinhao Li et al

12-23-2021

SeMask: Semantically Masked Transformers for Semantic Segmentation
by Jitesh Jain et al

12-23-2021

A Survey of Near-Data Processing Architectures for Neural Networks
by Mehdi Hassanpour et al

12-22-2021

Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text Summarization
by Md Tahmid Rahman Laskar et al

12-21-2021

Aerial Base Station Positioning and Power Control for Securing Communications: A Deep Q-Network Approach
by Aly Sabri Abdalla et al

12-22-2021

RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning
by Hansheng Xue et al

12-22-2021

Learning with distributional inverters
by Eric Binnendyk et al

12-21-2021

Physics-informed neural network method for modelling beam-wall interactions
by Kazuhiro Fujita

12-21-2021

Morphological classifiers
by É. O. Rodrigues et al

12-23-2021

Optimal learning of high-dimensional classification problems using deep neural networks
by Philipp Petersen et al

12-22-2021

The Importance of the Current Input in Sequence Modeling
by Christian Oliva et al

12-23-2021

A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity
by Jie Zhang et al

12-21-2021

PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training
by Avinash Parnandi et al

12-21-2021

Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass
by Stefan Oehmcke et al

12-22-2021

Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes
by Mohamed Ouerfelli et al

12-22-2021

Statistical Feature-based Personal Information Detection in Mobile Network Traffic
by Shuang Zhao et al

12-23-2021

Using Sequential Statistical Tests to Improve the Performance of Random Search in hyperparameter Tuning
by Philip Buczak et al

12-23-2021

Adaptive Modeling Against Adversarial Attacks
by Zhiwen Yan et al

12-22-2021

Model Selection in Batch Policy Optimization
by Jonathan N. Lee et al

12-22-2021

Batch Processing and Data Streaming Fourier-based Convolutional Neural Network Accelerator
by Zibo Hu et al

12-23-2021

Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning
by Raphaël Avalos et al

12-21-2021

A Theoretical View of Linear Backpropagation and Its Convergence
by Ziang Li et al

12-21-2021

Latent Space Simulation for Carbon Capture Design Optimization
by Brian Bartoldson et al

12-21-2021

Voice Quality and Pitch Features in Transformer-Based Speech Recognition
by Guillermo Cámbara et al

12-23-2021

Attentive Multi-View Deep Subspace Clustering Net
by Run-kun Lu et al

12-21-2021

Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
by Vivian Lai et al

12-21-2021

An Inference Approach To Question Answering Over Knowledge Graphs
by Aayushee Gupta et al

12-21-2021

Supervised Graph Contrastive Pretraining for Text Classification
by Samujjwal Ghosh et al

12-22-2021

Machine learning nonequilibrium electron forces for adiabatic spin dynamics
by Puhan Zhang et al

12-22-2021

Lifting Symmetry Breaking Constraints with Inductive Logic Programming
by Alice Tarzariol et al

12-23-2021

Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
by Yihua Zhang et al

12-21-2021

Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding
by Ziang Li et al

12-21-2021

Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients
by Jiafei Lyu et al

12-23-2021

Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions
by Rafael Pedro et al

12-23-2021

Integrating Material Selection with Design Optimization via Neural Networks
by Aaditya Chandrasekhar et al

12-21-2021

Toward Explainable AI for Regression Models
by Simon Letzgus et al

12-23-2021

Latent Time Neural Ordinary Differential Equations
by Srinivas Anumasa et al

12-21-2021

An Attention Score Based Attacker for Black-box NLP Classifier
by Yueyang Liu et al

12-22-2021

Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
by Kai-Chieh Hsu et al

12-21-2021

Can We Use Neural Regularization to Solve Depth Super-Resolution?
by Milena Gazdieva et al

12-23-2021

Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition
by P. A. Gloor et al

12-23-2021

Self-supervised Representation Learning of Neuronal Morphologies
by Marissa A. Weis et al

12-21-2021

Distributed Machine Learning and the Semblance of Trust
by Dmitrii Usynin et al

12-21-2021

Geometry-Aware Unsupervised Domain Adaptation
by You-Wei Luo et al

12-22-2021

LAME: Layout Aware Metadata Extraction Approach for Research Articles
by Jongyun Choi et al

12-22-2021

Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation
by Agostina Larrazabal et al

12-23-2021

Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations
by Srinivas Anumasa et al

12-22-2021

ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data
by Amin Banitalebi-Dehkordi et al

12-21-2021

Mapping industrial poultry operations at scale with deep learning and aerial imagery
by Caleb Robinson et al

12-22-2021

MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification
by Majid Farhadloo et al

12-22-2021

Learning with Proper Partial Labels
by Zhenguo Wu et al

12-21-2021

Convolutional neural network based on transfer learning for breast cancer screening
by Hussin Ragb et al

12-22-2021

Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks
by Xiangle Cheng et al

12-23-2021

Manifold Learning Benefits GANs
by Yao Ni et al

12-23-2021

Forward Composition Propagation for Explainable Neural Reasoning
by Isel Grau et al

12-23-2021

Integrating Quantum Processor Device and Control Optimization in a Gradient-based Framework
by Xiaotong Ni et al

12-21-2021

Machine Learning Emulation of Urban Land Surface Processes
by David Meyer et al

12-21-2021

AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version
by Xinle Wu et al

12-22-2021

Catch Me If You GAN: Using Artificial Intelligence for Fake Log Generation
by Christian Toemmel

12-22-2021

Few-Shot Object Detection: A Survey
by Mona Köhler et al

12-22-2021

Simple and Effective Balance of Contrastive Losses
by Arnaud Sors et al

12-23-2021

Curriculum Learning for Safe Mapless Navigation
by Luca Marzari et al

12-21-2021

Exploring Credibility Scoring Metrics of Perception Systems for Autonomous Driving
by Viren Khandal et al

12-21-2021

RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality
by Xiaohan Ding et al

12-23-2021

Mitigating Leakage from Data Dependent Communications in Decentralized Computing using Differential Privacy
by Riad Ladjel et al

12-22-2021

Towards Malicious address identification in Bitcoin
by Deepesh Chaudhari et al

12-21-2021

Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital
by Yasunobu Nohara et al

12-21-2021

Identifying Mixtures of Bayesian Network Distributions
by Spencer L. Gordon et al

12-23-2021

Hierarchical Multi-Building And Multi-Floor Indoor Localization Based On Recurrent Neural Networks
by Abdalla Elmokhtar Ahmed Elesawi et al

12-22-2021

The Universal ℓpℓp-Metric on Merge Trees
by Robert Cardona et al

12-22-2021

FLoBC: A Decentralized Blockchain-Based Federated Learning Framework
by Mohamed Ghanem et al

12-21-2021

Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents
by Hannes Westermann et al

12-22-2021

Simple and near-optimal algorithms for hidden stratification and multi-group learning
by Christopher Tosh et al

12-21-2021

PONet: Robust 3D Human Pose Estimation via Learning Orientations Only
by Jue Wang et al

12-22-2021

Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions
by Brett Daley et al

12-22-2021

Automatic Estimation of Anthropometric Human Body Measurements
by Dana Škorvánková et al

12-22-2021

Analysis of ECG data to detect Atrial Fibrillation
by Arjun Sridharkumar et al

12-22-2021

A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization
by Enrico Civitelli et al

12-21-2021

An Alternate Policy Gradient Estimator for Softmax Policies
by Shivam Garg et al

12-23-2021

The Impact of Missing Velocity Information in Dynamic Obstacle Avoidance based on Deep Reinforcement Learning
by Fabian Hart et al

12-22-2021

Surrogate Likelihoods for Variational Annealed Importance Sampling
by Martin Jankowiak et al

12-23-2021

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review
by Felipe Giuste et al

12-21-2021

NN2Poly: A polynomial representation for deep feed-forward artificial neural networks
by Pablo Morala et al

12-21-2021

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks
by Weigang Lu et al

12-21-2021

Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces
by Brian Kim et al

12-21-2021

High pressure hydrogen by machine learning and quantum Monte Carlo
by Andrea Tirelli et al

12-21-2021

Preprocessing in Inductive Logic Programming
by Brad Hunter

12-21-2021

A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing
by Xin Wang et al

12-21-2021

Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression
by Konstantin T. Matchev et al

12-22-2021

Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods
by Roozbeh Yousefzadeh

12-21-2021

ANUBIS: A Provenance Graph-Based Framework for Advanced Persistent Threat Detection
by Md. Monowar Anjum et al

12-22-2021

Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
by Ileana Rugina et al

12-21-2021

FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence
by Vasileios Perifanis et al

12-21-2021

Do Androids Dream of Electric Fences? Safety-Aware Reinforcement Learning with Latent Shielding
by Peter He et al

12-22-2021

Evaluating the Robustness of Deep Reinforcement Learning for Autonomous and Adversarial Policies in a Multi-agent Urban Driving Environment
by Aizaz Sharif et al

12-23-2021

Modeling Implicit Bias with Fuzzy Cognitive Maps
by Gonzalo Nápoles et al

12-21-2021

Multigoal-oriented dual-weighted-residual error estimation using deep neural networks
by Ayan Chakraborty et al

12-22-2021

Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction
by Sergio Muñoz-Romero et al

12-21-2021

Dynamically Stable Poincar\e Embeddings for Neural Manifolds
by Jun Chen et al

12-23-2021

FourierMask: Instance Segmentation using Fourier Mapping in Implicit Neural Networks
by Hamd ul Moqeet Riaz et al

12-21-2021

Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning
by Ziyi Chen et al

12-22-2021

Human Activity Recognition on wrist-worn accelerometers using self-supervised neural networks
by Niranjan Sridhar et al

12-21-2021

Soft Actor-Critic with Cross-Entropy Policy Optimization
by Zhenyang Shi et al

12-23-2021

Comprehensive Movie Recommendation System
by Hrisav Bhowmick et al

12-21-2021

Offloading Algorithms for Maximizing Inference Accuracy on Edge Device Under a Time Constraint
by Andrea Fresa et al

12-21-2021

Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction
by Kailun Wu et al

12-22-2021

Direct Behavior Specification via Constrained Reinforcement Learning
by Julien Roy et al

12-22-2021

A Unified Analysis Method for Online Optimization in Normed Vector Space
by Qingxin Meng et al

12-21-2021

Extending CLIP for Category-to-image Retrieval in E-commerce
by Mariya Hendriksen et al

12-23-2021

AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box
by David Dandolo et al

12-22-2021

ProBF: Learning Probabilistic Safety Certificates with Barrier Functions
by Sulin Liu et al

12-21-2021

Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions
by Adam Lesnikowski et al

12-21-2021

VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures
by Johnny Rhe et al

12-22-2021

Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems
by Islam Debicha et al

12-21-2021

Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation
by Vemund Fredriksen et al

12-21-2021

Decompose the Sounds and Pixels, Recompose the Events
by Varshanth R. Rao et al

12-21-2021

Adversarial Neural Networks for Error Correcting Codes
by Hung T. Nguyen et al

12-22-2021

Continual learning of longitudinal health records
by J. Armstrong et al

12-23-2021

Prolog-based agnostic explanation module for structured pattern classification
by Gonzalo Nápoles et al

12-22-2021

Neuroevolution deep learning architecture search for estimation of river surface elevation from photogrammetric Digital Surface Models
by Radosław Szostak et al

12-22-2021

Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection
by Sergio Muñoz-Romero et al

12-21-2021

Discrete fully probabilistic design: a tool to design control policies from examples
by Enrico Ferrentino et al

12-22-2021

Emulation of greenhouse-gas sensitivities using variational autoencoders
by Laura Cartwright et al

12-21-2021

The Phonetic Footprint of Parkinsons Disease
by Philipp Klumpp et al

12-21-2021

Developing and Validating Semi-Markov Occupancy Generative Models: A Technical Report
by Soumya Kundu et al

12-21-2021

Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning
by Fabian Böhm et al

12-21-2021

Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling
by Łukasz Korycki et al

12-21-2021

A Convergent ADMM Framework for Efficient Neural Network Training
by Junxiang Wang et al

12-21-2021

A Pilot Study on Detecting Unfairness in Human Decisions With Machine Learning Algorithmic Bias Detection
by Zhe Yu et al

12-21-2021

Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
by Bing Luo et al

12-22-2021

Investigating Neighborhood Modeling and Asymmetry Preservation in Digraph Representation Learning
by Honglu Zhou et al

12-21-2021

On the Adversarial Robustness of Causal Algorithmic Recourse
by Ricardo Dominguez-Olmedo et al

12-22-2021

Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation
by George Kour et al

12-22-2021

MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series
by Xing Han et al

12-21-2021

Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems
by Zongyu Dai et al

12-22-2021

Decentralized Task Offloading in Edge Computing: A Multi-User Multi-Armed Bandit Approach
by Xiong Wang et al

12-22-2021

Evaluating categorical encoding methods on a real credit card fraud detection database
by François de la Bourdonnaye et al

12-22-2021

End to End Software Engineering Research
by Idan Amit

12-22-2021

Movie Recommender System using critic consensus
by A Nayan Varma et al

12-21-2021

Neural Echo State Network using oscillations of gas bubbles in water: Computational validation by Mackey-Glass time series forecasting
by Ivan S. Maksymov et al

12-21-2021

Hierarchical Over-the-Air Federated Edge Learning
by Ozan Aygün et al

12-21-2021

On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge
by Hung T. Nguyen et al

12-21-2021

MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation
by Zhongzhi Yu et al

12-22-2021

Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding
by Benedikt Wagner et al

12-22-2021

SOLIS -- The MLOps journey from data acquisition to actionable insights
by Razvan Ciobanu et al

12-22-2021

Robust learning of data anomalies with analytically-solvable entropic outlier sparsification
by Illia Horenko

12-22-2021

FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation
by Xingyu Li et al

12-22-2021

Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications
by Jin Li et al

12-22-2021

Combinations of Adaptive Filters
by Jerónimo Arenas-García et al

12-21-2021

GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
by Haoran You et al

12-22-2021

Machine Learning for Computational Science and Engineering -- a brief introduction and some critical questions
by Chennakesava Kadapa

12-22-2021

Newsvendor Model with Deep Reinforcement Learning
by Dylan K. Goetting

12-21-2021

Learning Positional Embeddings for Coordinate-MLPs
by Sameera Ramasinghe et al

12-21-2021

Collaborative adversary nodes learning on the logs of IoT devices in an IoT network
by Sandhya Aneja et al

12-21-2021

Off Environment Evaluation Using Convex Risk Minimization
by Pulkit Katdare et al

12-21-2021

Combining Minkowski and Chebyshev: New distance proposal and survey of distance metrics using k-nearest neighbours classifier
by Érick Oliveira Rodrigues

12-21-2021

Practical Active Learning with Model Selection for Small Data
by Maryam Pardakhti et al

12-22-2021

How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation
by Yutong Xie et al

 
Craig Smith