2022.5.2 Learning papers

 

04-28-2022

Its DONE: Direct ONE-shot learning without training optimization
by Kazufumi Hosoda et al

04-28-2022

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers
by Micah Carroll et al

04-26-2022

Forecasting Foreign Exchange Rates With Parameter-Free Regression Networks Tuned By Bayesian Optimization
by Linwei Li et al

04-28-2022

CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
by Ming Ding et al

04-28-2022

Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets
by Masanori Hirano et al

04-27-2022

First do no harm: counterfactual objective functions for safe & ethical AI
by Jonathan G. Richens et al

04-28-2022

Music Enhancement via Image Translation and Vocoding
by Nikhil Kandpal et al

04-27-2022

Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework
by Shu Zhang et al

04-26-2022

Designing Perceptual Puzzles by Differentiating Probabilistic Programs
by Kartik Chandra et al

04-26-2022

Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
by Konstantinos E. Nikolakakis et al

04-27-2022

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
by Philippe Hansen-Estruch et al

04-28-2022

Unaligned Supervision For Automatic Music Transcription in The Wild
by Ben Maman et al

04-28-2022

Unlocking High-Accuracy Differentially Private Image Classification through Scale
by Soham De et al

04-26-2022

From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation
by Yuzhe Qin et al

04-28-2022

EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification
by Georgios P. Spithourakis et al

04-28-2022

Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes
by Pablo Mosteiro et al

04-27-2022

NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue
by Iñigo Casanueva et al

04-28-2022

Foundations for learning from noisy quantum experiments
by Hsin-Yuan Huang et al

04-26-2022

Streaming Algorithms for High-Dimensional Robust Statistics
by Ilias Diakonikolas et al

04-26-2022

Science Checker: Extractive-Boolean Question Answering For Scientific Fact Checking
by Loïc Rakotoson et al

04-28-2022

WeaNF: Weak Supervision with Normalizing Flows
by Andreas Stephan et al

04-29-2022

Fast Sampling of Diffusion Models with Exponential Integrator
by Qinsheng Zhang et al

04-28-2022

Russian Texts Detoxification with Levenshtein Editing
by Ilya Gusev

04-26-2022

Bias-Variance Decompositions for Margin Losses
by Danny Wood et al

04-28-2022

Semantic Communication: An Information Bottleneck View
by Edgar Beck et al

04-27-2022

Counterfactual Explanations for Natural Language Interfaces
by George Tolkachev et al

04-28-2022

Predicting single-cell perturbation responses for unseen drugs
by Leon Hetzel et al

04-29-2022

Flamingo: a Visual Language Model for Few-Shot Learning
by Jean-Baptiste Alayrac et al

04-26-2022

Convergence of neural networks to Gaussian mixture distribution
by Yasuhiko Asao et al

04-28-2022

Autoencoder based Hybrid Multi-Task Predictor Network for Daily Open-High-Low-Close Prices Prediction of Indian Stocks
by Debasrita Chakraborty et al

04-28-2022

List-Mode PET Image Reconstruction Using Deep Image Prior
by Kibo Ote et al

04-26-2022

Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators
by Axel Stjerngren et al

04-28-2022

On the Normalizing Constant of the Continuous Categorical Distribution
by Elliott Gordon-Rodriguez et al

04-26-2022

Sentiment Analysis of Cybersecurity Content on Twitter and Reddit
by Bipun Thapa

04-27-2022

Learning Greens functions associated with parabolic partial differential equations
by Nicolas Boullé et al

04-28-2022

Control-Aware Prediction Objectives for Autonomous Driving
by Rowan McAllister et al

04-26-2022

Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims
by Ivan Srba et al

04-27-2022

Offline Visual Representation Learning for Embodied Navigation
by Karmesh Yadav et al

04-27-2022

Adversarial Fine-tune with Dynamically Regulated Adversary
by Pengyue Hou et al

04-26-2022

Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings
by Danushka Bollegala

04-29-2022

Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN
by Dongyeun Lee et al

04-27-2022

Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare
by Marissa Radensky et al

04-27-2022

Supervised Contrastive CSI Representation Learning for Massive MIMO Positioning
by Junquan Deng et al

04-28-2022

AlphaZero-Inspired General Board Game Learning and Playing
by Johannes Scheiermann et al

04-28-2022

Machine learning for knowledge acquisition and accelerated inverse-design for non-Hermitian systems
by W. W. Ahmed et al

04-26-2022

RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy
by Matteo Tortora et al

04-27-2022

Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control
by Daniel E. Ochoa et al

04-28-2022

Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
by Yang Yang et al

04-26-2022

On Fragile Features and Batch Normalization in Adversarial Training
by Nils Philipp Walter et al

04-26-2022

Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning
by L. A. Bull et al

04-28-2022

Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations
by Na Liu et al

04-27-2022

An Iterative Labeling Method for Annotating Fisheries Imagery
by Zhiyong Zhang et al

04-26-2022

Adaptable Text Matching via Meta-Weight Regulator
by Bo Zhang et al

04-27-2022

Faster online calibration without randomization: interval forecasts and the power of two choices
by Chirag Gupta et al

04-28-2022

High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
by Kirill Antonov et al

04-26-2022

Event Detection Explorer: An Interactive Tool for Event Detection Exploration
by Wenlong Zhang et al

04-28-2022

Standardized Evaluation of Machine Learning Methods for Evolving Data Streams
by Johannes Haug et al

04-26-2022

Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages
by Mithun Das et al

04-28-2022

Mixup-based Deep Metric Learning Approaches for Incomplete Supervision
by Luiz H. Buris et al

04-26-2022

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams
by Matteo Tiezzi et al

04-27-2022

Transfer Learning with Pre-trained Conditional Generative Models
by Shin'ya Yamaguchi et al

04-27-2022

Learning to Parallelize in a Shared-Memory Environment with Transformers
by Re'em Harel et al

04-28-2022

Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry
by Kangning Cui et al

04-27-2022

Watts: Infrastructure for Open-Ended Learning
by Aaron Dharna et al

04-26-2022

A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
by Tiago Gonçalves et al

04-26-2022

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
by Gongping Chen et al

04-26-2022

One-pass additive-error subset selection for ℓpℓp subspace approximation
by Amit Deshpande et al

04-28-2022

One-Way Matching of Datasets with Low Rank Signals
by Shuxiao Chen et al

04-28-2022

Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms
by Nachuan Ma et al

04-26-2022

Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
by Seungwoong Ha et al

04-27-2022

Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
by Farshid Varno et al

04-26-2022

PyGOD: A Python Library for Graph Outlier Detection
by Kay Liu et al

04-27-2022

Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimers Disease Diagnosis
by Houliang Zhou et al

04-27-2022

FedShuffle: Recipes for Better Use of Local Work in Federated Learning
by Samuel Horváth et al

04-27-2022

Epicardial Adipose Tissue Segmentation from CT Images with A Semi-3D Neural Network
by Marin Benčević et al

04-28-2022

Learning to Split for Automatic Bias Detection
by Yujia Bao et al

04-26-2022

Supervised machine learning classification for short straddles on the S&P500
by Alexander Brunhuemer et al

04-26-2022

IRC-safe Graph Autoencoder for an unsupervised anomaly detection
by Oliver Atkinson et al

04-27-2022

Can deep learning match the efficiency of human visual long-term memory in storing object details?
by A. Emin Orhan

04-26-2022

Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios
by Dazhong Rong et al

04-28-2022

Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection
by Takahiro Suzuki et al

04-29-2022

Explainable AI via Learning to Optimize
by Howard Heaton et al

04-28-2022

BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation
by Gongping Chen et al

04-26-2022

SCGC : Self-Supervised Contrastive Graph Clustering
by Gayan K. Kulatilleke et al

04-28-2022

Depth Estimation with Simplified Transformer
by John Yang et al

04-26-2022

Know Thy Student: Interactive Learning with Gaussian Processes
by Rose E. Wang et al

04-28-2022

COVID-Net US-X: Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learning
by E. Zhixuan Zeng et al

04-28-2022

Schr\odingers FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training
by Miloš Nikolić et al

04-27-2022

Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization
by Weidong Cao et al

04-27-2022

Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training
by Guanhong Wang et al

04-26-2022

A review of Federated Learning in Intrusion Detection Systems for IoT
by Aitor Belenguer et al

04-26-2022

Coarse-to-fine Q-attention with Tree Expansion
by Stephen James et al

04-27-2022

Scalable particle-based alternatives to EM
by Juan Kuntz et al

04-26-2022

A physics-informed deep neural network for surrogate modeling in classical elasto-plasticity
by Mahdad Eghbalian et al

04-28-2022

Toward Compositional Generalization in Object-Oriented World Modeling
by Linfeng Zhao et al

04-27-2022

A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising
by Jiahong Zhang et al

04-28-2022

Learning General Inventory Management Policy for Large Supply Chain Network
by Soh Kumabe et al

04-28-2022

Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies
by Jens Schreiber et al

04-26-2022

Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemia
by Thokozile Manaka et al

04-27-2022

An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework
by Ehsan Nowroozi et al

04-26-2022

Federated Stochastic Primal-dual Learning with Differential Privacy
by Yiwei Li et al

04-26-2022

Meta-free representation learning for few-shot learning via stochastic weight averaging
by Kuilin Chen et al

04-28-2022

Unified Simulation, Perception, and Generation of Human Behavior
by Ye Yuan

04-27-2022

Machines of finite depth: towards a formalization of neural networks
by Pietro Vertechi et al

04-27-2022

Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation
by Kazuki Adachi et al

04-29-2022

Making sense of violence risk predictions using clinical notes
by Pablo Mosteiro et al

04-29-2022

Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling
by KiYoon Yoo et al

04-26-2022

Graph Neural Networks for Microbial Genome Recovery
by Andre Lamurias et al

04-27-2022

Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study
by Alice J. Liu et al

04-26-2022

Focal Sparse Convolutional Networks for 3D Object Detection
by Yukang Chen et al

04-28-2022

Improving the Robustness of Federated Learning for Severely Imbalanced Datasets
by Debasrita Chakraborty et al

04-26-2022

Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks
by Jens Henriksson et al

04-27-2022

Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions
by Niladri Das et al

04-26-2022

From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry (Technical Report)
by Roee Shraga et al

04-27-2022

Towards assessing agricultural land suitability with causal machine learning
by Georgios Giannarakis et al

04-26-2022

An Empirical Study of the Occurrence of Heavy-Tails in Training a ReLU Gate
by Sayar Karmakar et al

04-28-2022

Process-BERT: A Framework for Representation Learning on Educational Process Data
by Alexander Scarlatos et al

04-27-2022

Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback
by Zongqi Wan et al

04-29-2022

Tailored Uncertainty Estimation for Deep Learning Systems
by Joachim Sicking et al

04-27-2022

Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
by Derya Soydaner

04-26-2022

Cross Pairwise Ranking for Unbiased Item Recommendation
by Qi Wan et al

04-26-2022

Reformulating Speaker Diarization as Community Detection With Emphasis On Topological Structure
by Siqi Zheng et al

04-28-2022

DOTIN: Dropping Task-Irrelevant Nodes for GNNs
by Shaofeng Zhang et al

04-28-2022

Learning cosmology and clustering with cosmic graphs
by Pablo Villanueva-Domingo et al

04-27-2022

BI-GreenNet: Learning Greens functions by boundary integral network
by Guochang Lin et al

04-26-2022

Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition
by Vijayan N. Nair et al

04-27-2022

ELM: Embedding and Logit Margins for Long-Tail Learning
by Wittawat Jitkrittum et al

04-28-2022

H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness
by Xinyi Zhang et al

04-28-2022

GenDR: A Generalized Differentiable Renderer
by Felix Petersen et al

04-26-2022

The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification
by Nicolas Garcia Trillos et al

04-27-2022

GTNet: A Tree-Based Deep Graph Learning Architecture
by Nan Wu et al

04-28-2022

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
by Niklas Hanselmann et al

04-28-2022

Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery
by Achilles Machumilane et al

04-26-2022

Multi-task Learning for Concurrent Prediction of Thermal Comfort, Sensation, and Preference
by Betty Lala et al

04-29-2022

Learning from Natural Language Feedback
by Jérémy Scheurer et al

04-28-2022

Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma
by Liangrui Pan et al

04-27-2022

Dropout Inference with Non-Uniform Weight Scaling
by Zhaoyuan Yang et al

04-27-2022

Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning Study
by Cristian C. Beltran-Hernandez et al

04-28-2022

CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction
by Sicen Liu et al

04-28-2022

Regotron: Regularizing the Tacotron2 architecture via monotonic alignment loss
by Efthymios Georgiou et al

04-28-2022

Representative period selection for power system planning using autoencoder-based dimensionality reduction
by Marc Barbar et al

04-26-2022

Learning Value Functions from Undirected State-only Experience
by Matthew Chang et al

04-27-2022

Data-based price discrimination: information theoretic limitations and a minimax optimal strategy
by Haitian Xie et al

04-27-2022

Spending Privacy Budget Fairly and Wisely
by Lucas Rosenblatt et al

04-26-2022

Multi stain graph fusion for multimodal integration in pathology
by Chaitanya Dwivedi et al

04-26-2022

Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network
by Yash Sharma et al

04-27-2022

R-MBO: A Multi-surrogate Approach for Preference Incorporation in Multi-objective Bayesian Optimisation
by Tinkle Chugh

04-29-2022

Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics
by Baihan Lin

04-28-2022

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
by Xinyi Shang et al

04-27-2022

MAPLE-Edge: A Runtime Latency Predictor for Edge Devices
by Saeejith Nair et al

04-26-2022

Time Series Prediction by Multi-task GPR with Spatiotemporal Information Transformation
by Peng Tao et al

04-26-2022

Time-triggered Federated Learning over Wireless Networks
by Xiaokang Zhou et al

04-27-2022

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
by Yae Jee Cho et al

04-28-2022

Personalized Federated Learning with Multiple Known Clusters
by Boxiang Lyu et al

04-27-2022

Learning Storm Surge with Gradient Boosting
by Benjamin Pachev et al

04-28-2022

Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods
by Zongze Li et al

04-28-2022

Bona fide Riesz projections for density estimation
by P. del Aguila Pla et al

04-27-2022

Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering
by Lukas Schulth et al

04-26-2022

Gaussian Kernel Variance For an Adaptive Learning Method on Signals Over Graphs
by Yue Zhao et al

04-29-2022

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
by D. Bouget et al

04-28-2022

A Decision Model for Federated Learning Architecture Pattern Selection
by Sin Kit Lo et al

04-28-2022

On the Convergence of Momentum-Based Algorithms for Federated Stochastic Bilevel Optimization Problems
by Hongchang Gao

04-29-2022

Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast
by Jens Schreiber et al

04-26-2022

Automatic Monitoring of Fruit Ripening Rooms by UHF RFID Sensor Network and Machine Learning
by Cecilia Occhiuzzi et al

04-29-2022

Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach
by Shuzhao Xie et al

04-27-2022

Ollivier-Ricci Curvature For Head Pose Estimation From a Single Image
by Lucia Cascone et al

04-28-2022

CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines
by Soham Poddar et al

04-28-2022

Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
by Bowen Tian et al

04-28-2022

COSTI: a New Classifier for Sequences of Temporal Intervals
by Jakub Michał Bilski et al

04-27-2022

DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
by Hojoon Lee et al

04-29-2022

Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows
by Marcel Arpogaus et al

04-29-2022

Wide and Deep Neural Networks Achieve Optimality for Classification
by Adityanarayanan Radhakrishnan et al

04-26-2022

Treating Crowdsourcing as Examination: How to Score Tasks and Online Workers?
by Guangyang Han et al

04-28-2022

RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
by Yun Zhu et al

04-28-2022

Curriculum Learning for Dense Retrieval Distillation
by Hansi Zeng et al

04-29-2022

Tractable Uncertainty for Structure Learning
by Benjie Wang et al

04-29-2022

Data+Shift: Supporting visual investigation of data distribution shifts by data scientists
by João Palmeiro et al

04-28-2022

Bilinear value networks
by Zhang-Wei Hong et al

04-26-2022

Hybridised Loss Functions for Improved Neural Network Generalisation
by Matthew C. Dickson et al

04-26-2022

Federated Progressive Sparsification (Purge, Merge, Tune)+
by Dimitris Stripelis et al

04-29-2022

Local Explanation of Dimensionality Reduction
by Avraam Bardos et al

04-29-2022

Statistical applications of contrastive learning
by Michael U. Gutmann et al

04-28-2022

Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction
by Takayuki Katsuki et al

04-28-2022

Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task
by Jakub Michał Bilski et al

04-26-2022

Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies
by Shaltiel Eloul et al

04-28-2022

On tuning a mean-field model for semi-supervised classification
by Emílio Bergamim et al

04-28-2022

Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications
by Xuchuang Wang et al

04-28-2022

VPNets: Volume-preserving neural networks for learning source-free dynamics
by Aiqing Zhu et al

04-26-2022

SVD Perspectives for Augmenting DeepONet Flexibility and Interpretability
by Simone Venturi et al

04-27-2022

LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning
by Mingxing Xu et al

04-29-2022

Bayesian Information Criterion for Event-based Multi-trial Ensemble data
by Kaidi Shao et al

04-26-2022

Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective
by Xinwei Zhang et al

04-27-2022

Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
by Oliver Schön et al

04-29-2022

Autonomous In-Situ Soundscape Augmentation via Joint Selection of Masker and Gain
by Karn N. Watcharasupat et al

04-26-2022

Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level
by Huang Zhang et al

04-27-2022

AutoLossGen: Automatic Loss Function Generation for Recommender Systems
by Zelong Li et al

04-28-2022

Predicting batch queue job wait times for informed scheduling of urgent HPC workloads
by Nick Brown et al

04-29-2022

Learned Gradient of a Regularizer for Plug-and-Play Gradient Descent
by Rita Fermanian et al

04-29-2022

Learning Anisotropic Interaction Rules from Individual Trajectories in a Heterogeneous Cellular Population
by Daniel A. Messenger et al

04-29-2022

Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting
by Ching-pei Lee et al

04-26-2022

Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition
by Bruna Delazeri et al

04-27-2022

When Performance is not Enough -- A Multidisciplinary View on Clinical Decision Support
by Roland Roller et al

04-28-2022

BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms
by Ankit Kulshrestha et al

04-27-2022

Binding Actions to Objects in World Models
by Ondrej Biza et al

04-29-2022

A study of tree-based methods and their combination
by Yinuo Zeng

04-27-2022

FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming
by Rishov Sarkar et al

04-28-2022

An Explainable Regression Framework for Predicting Remaining Useful Life of Machines
by Talhat Khan et al

04-26-2022

Nonbacktracking spectral clustering of nonuniform hypergraphs
by Philip Chodrow et al

04-26-2022

Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems
by Rushang Karia et al

04-29-2022

Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering
by Thorir Mar Ingolfsson et al

04-29-2022

Framework for Behavioral Disorder Detection Using Machine Learning and Application of Virtual Cognitive Behavioral Therapy in COVID-19 Pandemic
by Tasnim Niger et al

04-26-2022

Generating Examples From CLI Usage: Can Transformers Help?
by Roshanak Zilouchian Moghaddam et al

04-26-2022

Identification of feasible pathway information for c-di-GMP binding proteins in cellulose production
by Syeda Sakira Hassan et al

04-29-2022

Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery
by Daesol Cho et al

04-29-2022

On the Optimization of Margin Distribution
by Meng-Zhang Qian et al

04-27-2022

Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles
by Jihed Khiari et al

04-26-2022

Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space
by Nikolaos Evangelou et al

04-27-2022

An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment Context
by Andrei Paleyes et al

04-28-2022

Visualization and Optimization Techniques for High Dimensional Parameter Spaces
by Anjul Tyagi

04-26-2022

Rate-Constrained Remote Contextual Bandits
by Francesco Pase et al

04-26-2022

Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering
by Shiye Wang et al

04-27-2022

TERMinator: A Neural Framework for Structure-Based Protein Design using Tertiary Repeating Motifs
by Alex J. Li et al

04-29-2022

A Framework for Constructing Machine Learning Models with Feature Set Optimisation for Evapotranspiration Partitioning
by Adam Stapleton et al

04-26-2022

Generating Self-Serendipity Preference in Recommender Systems for Addressing Cold Start Problems
by Yuanbo Xu et al

04-29-2022

Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running
by Cong Wang et al

04-26-2022

RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
by Marc Rigter et al

04-27-2022

TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
by Yizhi Li et al

04-27-2022

Humans Role in-the-Loop
by Avigdor Gal et al

04-26-2022

Application of WGAN-GP in recommendation and Questioning the relevance of GAN-based approaches
by Hichem Ammar Khodja et al

04-26-2022

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GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations
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Worst-Case Dynamic Power Distribution Network Noise Prediction Using Convolutional Neural Network
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Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
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A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram
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Automatic Machine Learning for Multi-Receiver CNN Technology Classifiers
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An Extensive Data Processing Pipeline for MIMIC-IV
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Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities
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An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks
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Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
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Improving Feature Generalizability with Multitask Learning in Class Incremental Learning
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An Intriguing Property of Geophysics Inversion
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GypSum: Learning Hybrid Representations for Code Summarization
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A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization
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AGIC: Approximate Gradient Inversion Attack on Federated Learning
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Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version
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GenDR: A Generalized Differentiable Renderer
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The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification
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GTNet: A Tree-Based Deep Graph Learning Architecture
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KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
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Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery
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Multi-task Learning for Concurrent Prediction of Thermal Comfort, Sensation, and Preference
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Learning from Natural Language Feedback
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Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma
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Dropout Inference with Non-Uniform Weight Scaling
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Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning Study
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CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction
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Regotron: Regularizing the Tacotron2 architecture via monotonic alignment loss
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Representative period selection for power system planning using autoencoder-based dimensionality reduction
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Learning Value Functions from Undirected State-only Experience
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Data-based price discrimination: information theoretic limitations and a minimax optimal strategy
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Multi stain graph fusion for multimodal integration in pathology
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Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network
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R-MBO: A Multi-surrogate Approach for Preference Incorporation in Multi-objective Bayesian Optimisation
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04-29-2022

Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics
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04-28-2022

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
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04-27-2022

MAPLE-Edge: A Runtime Latency Predictor for Edge Devices
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Time Series Prediction by Multi-task GPR with Spatiotemporal Information Transformation
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Time-triggered Federated Learning over Wireless Networks
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Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
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Personalized Federated Learning with Multiple Known Clusters
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Learning Storm Surge with Gradient Boosting
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Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods
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Bona fide Riesz projections for density estimation
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Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering
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Gaussian Kernel Variance For an Adaptive Learning Method on Signals Over Graphs
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Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
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A Decision Model for Federated Learning Architecture Pattern Selection
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On the Convergence of Momentum-Based Algorithms for Federated Stochastic Bilevel Optimization Problems
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04-29-2022

Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast
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Automatic Monitoring of Fruit Ripening Rooms by UHF RFID Sensor Network and Machine Learning
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Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach
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Ollivier-Ricci Curvature For Head Pose Estimation From a Single Image
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CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines
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Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
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COSTI: a New Classifier for Sequences of Temporal Intervals
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DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
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Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows
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Wide and Deep Neural Networks Achieve Optimality for Classification
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Treating Crowdsourcing as Examination: How to Score Tasks and Online Workers?
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RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
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Curriculum Learning for Dense Retrieval Distillation
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Tractable Uncertainty for Structure Learning
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Data+Shift: Supporting visual investigation of data distribution shifts by data scientists
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Bilinear value networks
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Hybridised Loss Functions for Improved Neural Network Generalisation
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Federated Progressive Sparsification (Purge, Merge, Tune)+
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Local Explanation of Dimensionality Reduction
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Statistical applications of contrastive learning
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Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction
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Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task
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Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies
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On tuning a mean-field model for semi-supervised classification
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Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications
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VPNets: Volume-preserving neural networks for learning source-free dynamics
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SVD Perspectives for Augmenting DeepONet Flexibility and Interpretability
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LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning
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Bayesian Information Criterion for Event-based Multi-trial Ensemble data
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Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective
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Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
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Autonomous In-Situ Soundscape Augmentation via Joint Selection of Masker and Gain
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Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level
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AutoLossGen: Automatic Loss Function Generation for Recommender Systems
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Predicting batch queue job wait times for informed scheduling of urgent HPC workloads
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Learned Gradient of a Regularizer for Plug-and-Play Gradient Descent
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Learning Anisotropic Interaction Rules from Individual Trajectories in a Heterogeneous Cellular Population
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Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting
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Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition
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When Performance is not Enough -- A Multidisciplinary View on Clinical Decision Support
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BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms
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Binding Actions to Objects in World Models
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A study of tree-based methods and their combination
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04-27-2022

FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming
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An Explainable Regression Framework for Predicting Remaining Useful Life of Machines
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Nonbacktracking spectral clustering of nonuniform hypergraphs
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Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems
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Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering
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Framework for Behavioral Disorder Detection Using Machine Learning and Application of Virtual Cognitive Behavioral Therapy in COVID-19 Pandemic
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Generating Examples From CLI Usage: Can Transformers Help?
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Identification of feasible pathway information for c-di-GMP binding proteins in cellulose production
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Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery
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On the Optimization of Margin Distribution
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Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles
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Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space
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An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment Context
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Visualization and Optimization Techniques for High Dimensional Parameter Spaces
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04-26-2022

Rate-Constrained Remote Contextual Bandits
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Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering
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TERMinator: A Neural Framework for Structure-Based Protein Design using Tertiary Repeating Motifs
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A Framework for Constructing Machine Learning Models with Feature Set Optimisation for Evapotranspiration Partitioning
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Generating Self-Serendipity Preference in Recommender Systems for Addressing Cold Start Problems
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Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running
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RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
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TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
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Application of WGAN-GP in recommendation and Questioning the relevance of GAN-based approaches
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Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks
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Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification
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Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection
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Controlled Generation of Unseen Faults for Partial and OpenSet&Partial Domain Adaptation
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Multimodal Transformer-based Model for Buchwald-Hartwig and Suzuki-Miyaura Reaction Yield Prediction
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Open challenges for Machine Learning based Early Decision-Making research
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SoFaiR: Single Shot Fair Representation Learning
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GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations
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Zero-Touch Network on Industrial IoT: An End-to-End Machine Learning Approach
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Worst-Case Dynamic Power Distribution Network Noise Prediction Using Convolutional Neural Network
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Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
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A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram
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04-29-2022

Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data
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Automatic Machine Learning for Multi-Receiver CNN Technology Classifiers
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Neural network controllers for uncertain linear systems
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An Extensive Data Processing Pipeline for MIMIC-IV
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Industry-academia research collaboration and knowledge co-creation: Patterns and anti-patterns
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Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities
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Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics Data
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An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks
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04-26-2022

Unsupervised Learning of Unbiased Visual Representations
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Novel Applications for VAE-based Anomaly Detection Systems
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Formulating Robustness Against Unforeseen Attacks
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Toward Policy Explanations for Multi-Agent Reinforcement Learning
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Learning Eco-Driving Strategies at Signalized Intersections
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04-28-2022

A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models
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04-27-2022

Prescriptive and Descriptive Approaches to Machine-Learning Transparency
by David Adkins et al

04-26-2022

Modular Domain Adaptation
by Junshen K. Chen et al

04-27-2022

Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
by Wenjie Zheng et al

04-26-2022

Improving Feature Generalizability with Multitask Learning in Class Incremental Learning
by Dong Ma et al

04-28-2022

An Intriguing Property of Geophysics Inversion
by Yinan Feng et al

04-26-2022

Process Knowledge-infused Learning for Suicidality Assessment on Social Media
by Kaushik Roy et al

04-28-2022

Randomized Smoothing under Attack: How Good is it in Pratice?
by Thibault Maho et al

04-27-2022

Neighbor-Based Optimized Logistic Regression Machine Learning Model For Electric Vehicle Occupancy Detection
by Sayan Shaw et al

04-27-2022

Identifying Critical LMS Features for Predicting At-risk Students
by Ying Guo et al

04-26-2022

GypSum: Learning Hybrid Representations for Code Summarization
by Yu Wang et al

04-28-2022

A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization
by Jonghyuk Baek et al

04-28-2022

AGIC: Approximate Gradient Inversion Attack on Federated Learning
by Jin Xu et al

04-28-2022

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version
by Razvan-Gabriel Cirstea et al

04-28-2022

Probabilistic Models for Manufacturing Lead Times
by Recep Yusuf Bekci et al

 
Craig Smith