2021.4.19 Learning papers

 

04-14-2021

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
by Koustuv Sinha et al

04-13-2021

BARF: Bundle-Adjusting Neural Radiance Fields
by Chen-Hsuan Lin et al

04-14-2021

Neural population geometry: An approach for understanding biological and artificial neural networks
by SueYeon Chung et al

04-15-2021

Generating Datasets with Pretrained Language Models
by Timo Schick et al

04-13-2021

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
by Michihiro Yasunaga et al

04-13-2021

Podracer architectures for scalable Reinforcement Learning
by Matteo Hessel et al

04-13-2021

Distilling Wikipedia mathematical knowledge into neural network models
by Joanne T. Kim et al

04-14-2021

Sparse Attention with Linear Units
by Biao Zhang et al

04-15-2021

Auto-Tuned Sim-to-Real Transfer
by Yuqing Du et al

04-15-2021

mlf-core: a framework for deterministic machine learning
by Lukas Heumos et al

04-15-2021

Cross-Domain Label-Adaptive Stance Detection
by Momchil Hardalov et al

04-13-2021

Learning and Planning in Complex Action Spaces
by Thomas Hubert et al

04-13-2021

Online and Offline Reinforcement Learning by Planning with a Learned Model
by Julian Schrittwieser et al

04-13-2021

Muesli: Combining Improvements in Policy Optimization
by Matteo Hessel et al

04-15-2021

Self-supervised Video Object Segmentation by Motion Grouping
by Charig Yang et al

04-13-2021

MS2: Multi-Document Summarization of Medical Studies
by Jay DeYoung et al

04-15-2021

Image Super-Resolution via Iterative Refinement
by Chitwan Saharia et al

04-15-2021

Self-Supervised Exploration via Latent Bayesian Surprise
by Pietro Mazzaglia et al

04-13-2021

Few-shot Image Generation via Cross-domain Correspondence
by Utkarsh Ojha et al

04-15-2021

Ensemble of MRR and NDCG models for Visual Dialog
by Idan Schwartz

04-15-2021

Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification
by Sangjoon Park et al

04-15-2021

The Role of Context in Detecting Previously Fact-Checked Claims
by Shaden Shaar et al

04-15-2021

See through Gradients: Image Batch Recovery via GradInversion
by Hongxu Yin et al

04-13-2021

VariTex: Variational Neural Face Textures
by Marcel C. Bühler et al

04-14-2021

Exact and Approximate Hierarchical Clustering Using A*
by Craig S. Greenberg et al

04-15-2021

Deep learning for COVID-19 diagnosis based feature selection using binary differential evolution algorithm
by Mohammad Saber Iraji et al

04-14-2021

Multitasking Inhibits Semantic Drift
by Athul Paul Jacob et al

04-14-2021

Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models
by Przemysław Biecek et al

04-15-2021

Reward Optimization for Neural Machine Translation with Learned Metrics
by Raphael Shu et al

04-14-2021

Disentangling Representations of Text by Masking Transformers
by Xiongyi Zhang et al

04-15-2021

Action Segmentation with Mixed Temporal Domain Adaptation
by Min-Hung Chen et al

04-16-2021

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
by Dmitry Kalashnikov et al

04-15-2021

Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events
by Hossein Rajaby Faghihi et al

04-15-2021

Rehearsal revealed: The limits and merits of revisiting samples in continual learning
by Eli Verwimp et al

04-15-2021

ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
by Samyam Rajbhandari et al

04-14-2021

Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
by Julian Chibane et al

04-15-2021

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
by Xiaoyu Xiang et al

04-15-2021

Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding
by Seunghyun Seo et al

04-15-2021

Demystify Optimization Challenges in Multilingual Transformers
by Xian Li et al

04-15-2021

Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation
by Jianlong Zhou et al

04-15-2021

BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution
by Fanyi Wang et al

04-13-2021

Learning Regularization Parameters of Inverse Problems via Deep Neural Networks
by Babak Maboudi Afkham et al

04-15-2021

Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity
by Nicha C. Dvornek et al

04-14-2021

Can Active Learning Preemptively Mitigate Fairness Issues?
by Frédéric Branchaud-Charron et al

04-14-2021

Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
by Martin Mundt et al

04-14-2021

Oracle Complexity in Nonsmooth Nonconvex Optimization
by Guy Kornowski et al

04-14-2021

An Interpretability Illusion for BERT
by Tolga Bolukbasi et al

04-14-2021

Translating synthetic natural language to database queries: a polyglot deep learning framework
by Adrián Bazaga et al

04-15-2021

Embedding Adaptation is Still Needed for Few-Shot Learning
by Sébastien M. R. Arnold et al

04-15-2021

Quantum Architecture Search via Deep Reinforcement Learning
by En-Jui Kuo et al

04-14-2021

Modeling Human Mental States with an Entity-based Narrative Graph
by I-Ta Lee et al

04-14-2021

Context-Dependent Anomaly Detection for Low Altitude Traffic Surveillance
by Ilker Bozcan et al

04-13-2021

Co-Scale Conv-Attentional Image Transformers
by Weijian Xu et al

04-14-2021

A comparative study of Different Machine Learning Regressors For Stock Market Prediction
by Nazish Ashfaq et al

04-14-2021

Distributed Word Representation in Tsetlin Machine
by Rohan Kumar Yadav et al

04-15-2021

Rethinking Text Line Recognition Models
by Daniel Hernandez Diaz et al

04-14-2021

I Wish I Would Have Loved This One, But I Didnt -- A Multilingual Dataset for Counterfactual Detection in Product Reviews
by James O'Neill et al

04-16-2021

Language Models are Few-Shot Butlers
by Vincent Micheli et al

04-15-2021

Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
by Dai Quoc Nguyen et al

04-13-2021

Deep Data Density Estimation through Donsker-Varadhan Representation
by Seonho Park et al

04-15-2021

The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning
by Yuchen Lian et al

04-14-2021

Discover the Hidden Attack Path in Multi-domain Cyberspace Based on Reinforcement Learning
by Lei Zhang et al

04-14-2021

Mean-Squared Accuracy of Good-Turing Estimator
by Maciej Skorski

04-15-2021

Deep Stable Learning for Out-Of-Distribution Generalization
by Xingxuan Zhang et al

04-14-2021

Annealing Knowledge Distillation
by Aref Jafari et al

04-15-2021

How to Train BERT with an Academic Budget
by Peter Izsak et al

04-15-2021

NICE: An Algorithm for Nearest Instance Counterfactual Explanations
by Dieter Brughmans et al

04-15-2021

Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning
by Joonyoung Yi et al

04-13-2021

ShapeMOD: Macro Operation Discovery for 3D Shape Programs
by R. Kenny Jones et al

04-13-2021

Learning to recover orientations from projections in single-particle cryo-EM
by Jelena Banjac et al

04-16-2021

Uncertainty Surrogates for Deep Learning
by Radhakrishna Achanta et al

04-13-2021

SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment
by Mohamed Adel Musallam et al

04-13-2021

MultiModalQA: Complex Question Answering over Text, Tables and Images
by Alon Talmor et al

04-14-2021

On the Vapnik-Chervonenkis dimension of products of intervals in RdRd
by Alirio Gómez Gómez et al

04-13-2021

Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders
by Brendan Chambers et al

04-16-2021

VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks
by Hung Le et al

04-13-2021

A Tale of Two Lexica Testing Computational Hypotheses with Deep Convolutional Neural Networks
by Enes Avcu et al

04-13-2021

Fast Hierarchical Games for Image Explanations
by Jacopo Teneggi et al

04-14-2021

Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
by Huiqi Deng et al

04-14-2021

Device-Cloud Collaborative Learning for Recommendation
by Jiangchao Yao et al

04-16-2021

Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder
by Subham Nagar et al

04-13-2021

EXPLAINABOARD: An Explainable Leaderboard for NLP
by Pengfei Liu et al

04-16-2021

Sharp bounds for the number of regions of maxout networks and vertices of Minkowski sums
by Guido Montúfar et al

04-14-2021

Deep Permutation Equivariant Structure from Motion
by Dror Moran et al

04-15-2021

Generalising Discrete Action Spaces with Conditional Action Trees
by Christopher Bamford et al

04-15-2021

Towards Handling Uncertainty-at-Source in AI -- A Review and Next Steps for Interval Regression
by Shaily Kabir et al

04-14-2021

Attentive Max Feature Map for Acoustic Scene Classification with Joint Learning considering the Abstraction of Classes
by Hye-jin Shim et al

04-15-2021

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
by Yevgen Chebotar et al

04-15-2021

Exploring Visual Engagement Signals for Representation Learning
by Menglin Jia et al

04-16-2021

Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data
by Ekta Prashnani et al

04-15-2021

Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels
by Clément Le Moine Veillon et al

04-15-2021

Robust Neural Networks Outperform Attitude Estimation Filters
by Daniel Weber et al

04-15-2021

Out-of-Distribution Detection for Dermoscopic Image Classification
by Mohammadreza Mohseni et al

04-15-2021

NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
by Shashank Sonkar et al

04-13-2021

GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
by Jie Huang et al

04-15-2021

Variational Co-embedding Learning for Attributed Network Clustering
by Shuiqiao Yang et al

04-14-2021

The Curious Case of Hallucinations in Neural Machine Translation
by Vikas Raunak et al

04-13-2021

NoiseVC: Towards High Quality Zero-Shot Voice Conversion
by Shijun Wang et al

04-13-2021

Learning Log-Determinant Divergences for Positive Definite Matrices
by Anoop Cherian et al

04-13-2021

Semiring Primitives for Sparse Neighborhood Methods on the GPU
by Corey J. Nolet et al

04-16-2021

A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning
by Arkadiy Dushatskiy et al

04-13-2021

Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling
by Genta Indra Winata

04-13-2021

Online Recognition of Actions Involving Objects
by Zahra Gharaee et al

04-13-2021

Deep imagination is a close to optimal policy for planning in large decision trees under limited resources
by Ruben Moreno-Bote et al

04-16-2021

BNN - BN = ?: Training Binary Neural Networks without Batch Normalization
by Tianlong Chen et al

04-13-2021

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
by Guanghui Qin et al

04-15-2021

Ransomware Detection Using Deep Learning in the SCADA System of Electric Vehicle Charging Station
by Manoj Basnet et al

04-16-2021

Overfitting in Bayesian Optimization: an empirical study and early-stopping solution
by Anastasia Makarova et al

04-14-2021

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
by Chaoyang He et al

04-15-2021

All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks
by Cheng-Wei Huang et al

04-15-2021

Iterative Barycenter Flows
by David I. Inouye et al

04-14-2021

Do Neural Network Weights account for Classes Centers?
by Ioannis Kansizoglou et al

04-14-2021

Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition
by Alessandro De Palma et al

04-14-2021

Orthogonalizing Convolutional Layers with the Cayley Transform
by Asher Trockman et al

04-14-2021

Generative Causal Explanations for Graph Neural Networks
by Wanyu Lin et al

04-15-2021

Conditional independence for pretext task selection in Self-supervised speech representation learning
by Salah Zaiem et al

04-13-2021

Towards Causal Federated Learning For Enhanced Robustness and Privacy
by Sreya Francis et al

04-13-2021

Situational Confidence Assistance for Lifelong Shared Autonomy
by Matthew Zurek et al

04-15-2021

HIVE-COTE 2.0: a new meta ensemble for time series classification
by Matthew Middlehurst et al

04-14-2021

Eluder Dimension and Generalized Rank
by Gene Li et al

04-13-2021

Search to aggregate neighborhood for graph neural network
by Huan Zhao et al

04-13-2021

EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition
by Murali Karthick Baskar et al

04-13-2021

Detoxifying Language Models Risks Marginalizing Minority Voices
by Albert Xu et al

04-15-2021

Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition
by Pooja Prajod et al

04-14-2021

Sentence Embeddings by Ensemble Distillation
by Fredrik Carlsson Magnus Sahlgren

04-14-2021

A Weakly Supervised Model for Solving Math word Problems
by Oishik Chatterjee et al

04-13-2021

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification
by Daniel Organisciak et al

04-15-2021

Distributed TD(0) with Almost No Communication
by Rui Liu et al

04-16-2021

Fast ABC with joint generative modelling and subset simulation
by Eliane Maalouf et al

04-16-2021

I Find Your Lack of Uncertainty in Computer Vision Disturbing
by Matias Valdenegro-Toro

04-16-2021

Spatiotemporal Deformable Models for Long-Term Complex Activity Detection
by Salman Khan et al

04-13-2021

Structural analysis of an all-purpose question answering model
by Vincent Micheli et al

04-13-2021

VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Dense Depth Reconstruction
by Shubham Shrivastava

04-13-2021

Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN
by Rakhil Immidisetti et al

04-16-2021

Bayesian matrix completion with a spectral scaled Student prior: theoretical guarantee and efficient sampling
by The Tien Mai

04-14-2021

State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks
by B. Azimian et al

04-13-2021

Holistic Guidance for Occluded Person Re-Identification
by Madhu Kiran et al

04-13-2021

BERT Embeddings Can Track Context in Conversational Search
by Rafael Ferreira et al

04-15-2021

D-Cliques: Compensating NonIIDness in Decentralized Federated Learning with Topology
by Aurélien Bellet et al

04-16-2021

Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders
by Fangyu Liu et al

04-13-2021

1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMBs Convergence Speed
by Conglong Li et al

04-14-2021

End-to-end Keyword Spotting using Neural Architecture Search and Quantization
by David Peter et al

04-14-2021

Towards Unsupervised Fine-Tuning for Edge Video Analytics
by Daniel Rivas et al

04-16-2021

Finding Motifs in Knowledge Graphs using Compression
by Peter Bloem

04-16-2021

Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions
by Max H. Cohen et al

04-16-2021

Implementing CNN Layers on the Manticore Cluster-Based Many-Core Architecture
by Andreas Kurth et al

04-14-2021

The Surprising Performance of Simple Baselines for Misinformation Detection
by Kellin Pelrine et al

04-15-2021

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
by Eric Lehman et al

04-14-2021

A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images
by Abhijitt Dhavlle et al

04-13-2021

δδ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates
by Dan Ley et al

04-13-2021

Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion Framework
by Sterling G. Baird et al

04-15-2021

A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It
by Trung Dang et al

04-14-2021

Unsupervised low-rank representations for speech emotion recognition
by Georgios Paraskevopoulos et al

04-13-2021

Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity
by Minjie Wang et al

04-13-2021

On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems
by Ian Berlot-Attwell et al

04-16-2021

Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions
by Daniel Heestermans Svendsen et al

04-13-2021

Identity Inference on Blockchain using Graph Neural Network
by Jie Shen et al

04-15-2021

NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
by Dongsheng Li et al

04-14-2021

Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence
by Fushing Hsieh et al

04-16-2021

Faithful and Plausible Explanations of Medical Code Predictions
by Zach Wood-Doughty et al

04-16-2021

Probabilistic water demand forecasting using quantile regression algorithms
by Georgia Papacharalampous et al

04-16-2021

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
by Danilo Numeroso et al

04-13-2021

Understanding Transformers for Bot Detection in Twitter
by Andres Garcia-Silva et al

04-13-2021

Lessons on Parameter Sharing across Layers in Transformers
by Sho Takase et al

04-13-2021

Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels
by Qin Luo et al

04-14-2021

Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
by Hussein Hazimeh et al

04-16-2021

Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model
by Matthias Hofer et al

04-14-2021

Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling
by Niklas Christoffer Petersen et al

04-16-2021

Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data
by Andrew R. Lawrence et al

04-13-2021

Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression
by Feiyang Cai et al

04-14-2021

Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches
by Dmitry Kazhdan et al

04-16-2021

Probing artificial neural networks: insights from neuroscience
by Anna A. Ivanova et al

04-16-2021

Towards Standardizing Reinforcement Learning Approaches for Stochastic Production Scheduling
by Alexandru Rinciog et al

04-14-2021

Reward function shape exploration in adversarial imitation learning: an empirical study
by Yawei Wang et al

04-15-2021

Detect and Classify -- Joint Span Detection and Classification for Health Outcomes
by Michael Abaho et al

04-14-2021

Membership-Mappings for Data Representation Learning
by Mohit Kumar et al

04-16-2021

Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction
by Asahi Ushio et al

04-16-2021

A Study of Graph-Based Approaches for Semi-Supervised Time Series Classification
by Dominik Alfke et al

04-13-2021

Understanding Hard Negatives in Noise Contrastive Estimation
by Wenzheng Zhang et al

04-16-2021

Controlled abstention neural networks for identifying skillful predictions for regression problems
by Elizabeth A. Barnes et al

04-16-2021

Editing Factual Knowledge in Language Models
by Nicola De Cao et al

04-15-2021

On Energy-Based Models with Overparametrized Shallow Neural Networks
by Carles Domingo-Enrich et al

04-16-2021

Efficient and Generic 1D Dilated Convolution Layer for Deep Learning
by Narendra Chaudhary et al

04-15-2021

AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks
by Haojin Yang et al

04-14-2021

Fast quantum state reconstruction via accelerated non-convex programming
by Junhyung Lyle Kim et al

04-14-2021

A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals
by Connor van Rossum et al

04-15-2021

Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings
by Zihao He et al

04-13-2021

Neuro-Symbolic VQA: A review from the perspective of AGI desiderata
by Ian Berlot-Attwell

04-14-2021

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
by Yuan Gao et al

04-16-2021

Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention
by Joe Stacey et al

04-15-2021

Contrastive Learning with Stronger Augmentations
by Xiao Wang et al

04-14-2021

A Hyperbolic-to-Hyperbolic Graph Convolutional Network
by Jindou Dai et al

04-15-2021

Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching
by Wenxin Hou et al

04-15-2021

Scale Invariant Solutions for Overdetermined Linear Systems with Applications to Reinforcement Learning
by Rahul Madhavan et al

04-14-2021

When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution
by Chuanhao Li et al

04-15-2021

Serverless Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities
by Yuben Qu et al

04-14-2021

An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks
by Mohanad Sarhan et al

04-16-2021

Capturing patterns of variation unique to a specific dataset
by Robin Tu et al

04-14-2021

DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
by Vasimuddin Md et al

04-13-2021

Very Lightweight Photo Retouching Network with Conditional Sequential Modulation
by Yihao Liu et al

04-14-2021

Safe Continuous Control with Constrained Model-Based Policy Optimization
by Moritz A. Zanger et al

04-13-2021

Gaussian Process Model for Estimating Piecewise Continuous Regression Functions
by Chiwoo Park

04-15-2021

Continual Learning for Fake Audio Detection
by Haoxin Ma et al

04-15-2021

Speaker Attentive Speech Emotion Recognition
by Clément Le Moine et al

04-16-2021

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
by Jianxin Li et al

04-16-2021

To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
by Lukas Lange et al

04-13-2021

BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
by Zhe Zhou et al

04-15-2021

Fast Private Parameter Learning and Evaluation for Sum-Product Networks
by Ernst Althaus et al

04-16-2021

CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework
by Yu Zhang et al

04-16-2021

Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase
by Akhila Yerukola et al

04-15-2021

Lorentzian Graph Convolutional Networks
by Yiding Zhang et al

04-16-2021

Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector
by Peilun Wu et al

04-15-2021

Learning Users confidence for active learning
by Devis Tuia et al

04-15-2021

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
by Benedek Rozemberczki et al

04-13-2021

TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control
by Haonan Yu et al

04-16-2021

Why Machine Learning Integrated Patient Flow Simulation?
by Tesfamariam M. Abuhay et al

04-16-2021

NoisyCUR: An algorithm for two-cost budgeted matrix completion
by Dong Hu et al

04-16-2021

FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning
by Bo Zhao et al

04-16-2021

Interval-censored Hawkes processes
by Marian-Andrei Rizoiu et al

04-16-2021

Achieving differential privacy for kk-nearest neighbors based outlier detection by data partitioning
by Jens Rauch et al

04-16-2021

Improving Hyper-Relational Knowledge Graph Completion
by Donghan Yu et al

04-14-2021

Design of an Efficient, Ease-of-use and Affordable Artificial Intelligence based Nucleic Acid Amplification Diagnosis Technology for Tuberculosis and Multi-drug Resistant Tuberculosis
by Arastu Sharma et al

04-16-2021

An Empirical Study of Extrapolation in Text Generation with Scalar Control
by Aashi Jain et al

04-13-2021

Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack
by Luca Pajola et al

04-15-2021

Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent
by Zhao Wang et al

04-16-2021

Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction
by Abanoub M. Girgis et al

04-16-2021

MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
by Mengzhou Xia et al

04-15-2021

Ridge Regression Neural Network for Pediatric Bone Age Assessment
by Ibrahim Salim et al

04-14-2021

The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
by Aiden Durrant et al

04-14-2021

Quadratic GCN for Graph Classification
by Omer Nagar et al

04-15-2021

OneLog: Towards End-to-End Training in Software Log Anomaly Detection
by Shayan Hashemi et al

04-13-2021

Joint Negative and Positive Learning for Noisy Labels
by Youngdong Kim et al

04-16-2021

OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based Fingerprinting
by Arthur Gassner et al

04-14-2021

Audio feature ranking for sound-based COVID-19 patient detection
by Julia A. Meister et al

04-13-2021

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Deep Deterministic Path Following
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Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing
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Inference of cell dynamics on perturbation data using adjoint sensitivity
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A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers
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Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities
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Multi-Party Dual Learning
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Process Outcome Prediction: CNN vs. LSTM (with Attention)
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WiFiNet: WiFi-based indoor localisation using CNNs
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Reward Shaping with Subgoals for Social Navigation
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Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction
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FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems
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Variational Inference for Category Recommendation in E-Commerce platforms
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Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition
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Reward Shaping with Dynamic Trajectory Aggregation
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Data-driven Actuator Selection for Artificial Muscle-Powered Robots
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Mitigating Adversarial Attack for Compute-in-Memory Accelerator Utilizing On-chip Finetune
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Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks
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LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information
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Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management
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Ontology-based Feature Selection: A Survey
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Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models
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A Novel Hybrid Deep Learning Approach for Non-Intrusive Load Monitoring of Residential Appliance Based on Long Short Term Memory and Convolutional Neural Networks
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Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis
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Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system
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SGL: Spectral Graph Learning from Measurements
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Personalized Semi-Supervised Federated Learning for Human Activity Recognition
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Sample-based and Feature-based Federated Learning via Mini-batch SSCA
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An L2L2 Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation
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Geometry encoding for numerical simulations
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Conclusive Local Interpretation Rules for Random Forests
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Sequential Ski Rental Problem
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Model Learning with Personalized Interpretability Estimation (ML-PIE)
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Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning
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Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch
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Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks
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Higgs analysis with quantum classifiers
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Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
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Temporal EigenPAC for dyslexia diagnosis
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Root-finding Approaches for Computing Conformal Prediction Set
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The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks
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Multivariate Deep Evidential Regression
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Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations
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Micro-Estimates of Wealth for all Low- and Middle-Income Countries
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Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable
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Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021
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Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning
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Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays
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Data-Driven Reinforcement Learning for Virtual Character Animation Control
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Craig Smith