How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
https://t.co/GTAaqHRgi1
Validating Label Consistency in NER Data Annotation
https://t.co/eeYBU4AUvT
A two-stage data association approach for 3D Multi-object Tracking
https://t.co/h3LijchIzC
Neural Networks, Artificial Intelligence and the Computational Brain
https://t.co/2jJHGlHYsn
Mindless Attractor: A False-Positive Resistant Intervention for Drawing Attention Using Auditory Perturbation
https://t.co/QhahrfRN5T
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
https://t.co/gM4vCIMMzW
Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control
https://t.co/xvyYotmqBG
Discussion of Ensemble Learning under the Era of Deep Learning
https://t.co/eqdMw8WNEU
Do we need to go Deep? Knowledge Tracing with Big Data
https://t.co/Z3EtibSYA3
mt5b3: A Framework for Building AutonomousTraders
https://t.co/w6sBscN3uo
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
https://t.co/oO0r8IOshz
Classifying Scientific Publications with BERT -- Is Self-Attention a Feature Selection Method?
https://t.co/7pAUbTGfLb
Collision-Free Flocking with a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning
https://t.co/1R4qJ5M0Eq
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data
https://t.co/S3fQcgbNcK
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
https://t.co/8sPKuqAPnQ
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling
https://t.co/UcgL7WDUGv
Noise Learning Based Denoising Autoencoder
https://t.co/hPSClsZTTp
Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks
https://t.co/7xawUMSYSW
Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search
https://t.co/b6PQNPyDef
Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum
https://t.co/7qA7BomthH
Dissonance Between Human and Machine Understanding
https://t.co/nRBcIDIoSP
A System for Automated Open-Source Threat Intelligence Gathering and Management
https://t.co/zRIE873tMW
Classification of Pedagogical content using conventional machine learning and deep learning model
https://t.co/kFt1Vr11DS
GLocalX -- From Local to Global Explanations of Black Box AI Models
https://t.co/jNEAt3yDei
An Artificial Intelligence based approach to estimating time of arrival and bus occupancy for public transport systems in Africa
https://t.co/oQkFARvo0e
Edge-Featured Graph Attention Network
https://t.co/5jRr0ynqHA
Situation and Behavior Understanding by Trope Detection on Films
https://t.co/2tTVFlj7BM
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments
https://t.co/wsMBpdo3zG
Disentangled Recurrent Wasserstein Autoencoder
https://t.co/KNKdFN9RII
GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and Attention
https://t.co/eGlkz92WGB
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
https://t.co/8AC8HngYl1
An attention model to analyse the risk of agitation and urinary tract infections in people with dementia
https://t.co/51FwnK9i5v
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations
https://t.co/4lp4UxSYMV
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions
https://t.co/abJTLSptss
Understanding in Artificial Intelligence
https://t.co/b5kufxxoL5
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data
https://t.co/6TRfUgvv1v
Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation
https://t.co/OYEPMDtf5I
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset
https://t.co/VtsS1g7pVx
Leveraging AI to optimize website structure discovery during Penetration Testing
https://t.co/tZxbNs99Tu
Is it a great Autonomous FX Trading Strategy or you are just fooling yourself
https://t.co/ted6dt7jBd
Deep Reinforcement Learning for Active High Frequency Trading
https://t.co/C4iR7RNfs2
Studying Catastrophic Forgetting in Neural Ranking Models
https://t.co/GtzumvDLEj
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
https://t.co/TxUEKByuBX
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection
https://t.co/aNjfrPm8Gd
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning
https://t.co/4lYbSyvDH3
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
https://t.co/8tMpbWAu1b
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
https://t.co/KzvOxzqexs
Deep Parametric Continuous Convolutional Neural Networks
https://t.co/m3jGJWSnXr
Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition
https://t.co/B3EG8k37SB
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation
https://t.co/rjx4yjnNQj
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
https://t.co/fAEPrJmbYB
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
https://t.co/wPPbWpOR36
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
https://t.co/wPPbWpOR36
GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition
https://t.co/AcLGlax0fk
SceneGen: Learning to Generate Realistic Traffic Scenes
https://t.co/JNOxqvAeKB
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems
https://t.co/Tjh0adUiNv
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
https://t.co/XB0dKTws4J
NNStreamer: Efficient and Agile Development of On-Device AI Systems
https://t.co/s6SOklUTsp
AR-based Modern Healthcare: A Review
https://t.co/pcoZB3J3ka
Attention Based Video Summaries of Live Online Zoom Classes
https://t.co/M4ZStoy1AN
When SIMPLE is better than complex: A case study on deep learning for predicting Bugzilla issue close time
https://t.co/YTIAAWqAcd
On the Verification and Validation of AI Navigation Algorithms
https://t.co/gwBaqOeu4c
Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision
https://t.co/YHLUQ5SpIa
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
https://t.co/rsqGk5fQ8b
Player-AI Interaction: What Neural Network Games Reveal About AI as Play
https://t.co/DIzXf1wuW6
Probabilistic Inference for Learning from Untrusted Sources
https://t.co/PFyTH6jZyp
Teaming up with information agents
https://t.co/fpaMVZlH0k
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study
https://t.co/kStzf3RoTX
Black-box Adversarial Attacks in Autonomous Vehicle Technology
https://t.co/0B2xkavOWt
Motion-Based Handwriting Recognition
https://t.co/lT0ybiyiAl
Affordance-based Reinforcement Learning for Urban Driving
https://t.co/Do6J5eo7j6
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
https://t.co/St76T1uGLq
Responsible AI Challenges in End-to-end Machine Learning
https://t.co/u3drnpONrR
Mining Knowledge Graphs From Incident Reports
https://t.co/Sm1wZA2gYQ
Descriptive AI Ethics: Collecting and Understanding the Public Opinion
https://t.co/3u3By4VxIz
Hostility Detection and Covid-19 Fake News Detection in Social Media
https://t.co/GlrtTAalKE
Robusta: Robust AutoML for Feature Selection via Reinforcement Learning
https://t.co/ihKgihjDfV
KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization
https://t.co/rZBlbHStLd
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
https://t.co/oPTKZbiaHd
Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media
https://t.co/aU5g6hXOaS
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
https://t.co/mHFCoQBzCm
ItNet: iterative neural networks with tiny graphs for accurate and efficient anytime prediction
https://t.co/38Ivf3iTys
Adversarial Machine Learning in Text Analysis and Generation
https://t.co/OAaQGy3VD9
Dive into Decision Trees and Forests: A Theoretical Demonstration
https://t.co/YEd3NpQqLc
Stress Testing of Meta-learning Approaches for Few-shot Learning
https://t.co/CP6QDkSUPF
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer
https://t.co/UW74MHAEwV
Analysis of Information Flow Through U-Nets
https://t.co/H7Oay6mTpj
Distilling Interpretable Models into Human-Readable Code
https://t.co/tNph0XpFDT
Invariance, encodings, and generalization: learning identity effects with neural networks
https://t.co/kCJt8bajEP
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem
https://t.co/cHHRGBip9h
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models?
https://t.co/8Zx7fVfIIp
Explainable Patterns: Going from Findings to Insights to Support Data Analytics Democratization
https://t.co/kuvkN4ZMZu
MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes
https://t.co/ffTvTzz5rZ
LEAF: A Learnable Frontend for Audio Classification
https://t.co/3WaQ8MIC8A
Customer Price Sensitivities in Competitive Automobile Insurance Markets
https://t.co/3nIj6XJNYQ
Pre-training without Natural Images
https://t.co/m1lBQFT9KJ
Arabic Speech Recognition by End-to-End, Modular Systems and Human
https://t.co/6rWnWJvJiR
Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy
https://t.co/lumhRoaVhf
Influence Estimation for Generative Adversarial Networks
https://t.co/ypMwRmSJqv
Text Line Segmentation for Challenging Handwritten Document Images Using Fully Convolutional Network
https://t.co/R9SiU4pWEy
TensorBNN: Bayesian Inference for Neural Networks using Tensorflow
https://t.co/5wEXw5ECXL
Bayesian Neural Networks for Fast SUSY Predictions
https://t.co/eEjxi4ybgU
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches
https://t.co/FdvIcYrTJZ
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
https://t.co/XFZLPMcllL
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey
https://t.co/WfdmTkw69N
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data
https://t.co/1OjpuDYWcY
Machine learning applications for COVID-19: A state-of-the-art review
https://t.co/9DSd3TfB4D
Implicit Bias of Linear RNNs
https://t.co/IfgXSmwaFb
Open-Domain Conversational Search Assistant with Transformers
https://t.co/8iMUvwb0To
Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer
https://t.co/IQKlMjf5Hv
Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs
https://t.co/zS4DRvfhI7
Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details
https://t.co/EA9GZDwoQO
Cross-domain few-shot learning with unlabelled data
https://t.co/DW7JGPcNwS
Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features
https://t.co/JswvK6YlQJ
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions
https://t.co/Z9cI9d1n2b
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
https://t.co/bWrX68Pxl1
Image Denoising using Attention-Residual Convolutional Neural Networks
https://t.co/5aG06Yf2RF
Interpretable Models for Granger Causality Using Self-explaining Neural Networks
https://t.co/DR34Ed1qGd
Continual Deterioration Prediction for Hospitalized COVID-19 Patients
https://t.co/OsBrVfw7kj
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
https://t.co/bKhILExhy7
PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator
https://t.co/944IW7qRsm
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
https://t.co/jBfVPPcvlY
Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data
https://t.co/Y1hnvcMo2K
Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination
https://t.co/r3B4ST2XIX
Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders
https://t.co/MeBl9H7kS5
Does Continual Learning = Catastrophic Forgetting?
https://t.co/jk7tasU0IR
A survey on shape-constraint deep learning for medical image segmentation
https://t.co/OuSpETBxYG
Predicting Pneumonia and Region Detection from X-Ray Images using Deep Neural Network
https://t.co/qpDYzwLw2b
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans
https://t.co/Q2nOU79sNv
Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly
https://t.co/GOe2yLmOWF
Collaboration among Image and Object Level Features for Image Colourisation
https://t.co/bVqv6ZWQTV
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
https://t.co/EbrLI7pYe9
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
https://t.co/DcOl3AbCds
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning
https://t.co/5uPWFcYtzQ
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
https://t.co/VTDmjNd9QD
Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort
https://t.co/tx5Sc89T4Y
A simple geometric proof for the benefit of depth in ReLU networks
https://t.co/TT25NN3Z3M
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks
https://t.co/CgZhQGXLhC
Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements
https://t.co/8MlUI1ezGy
Discrete Graph Structure Learning for Forecasting Multiple Time Series
https://t.co/MXCAmJNoaX
Heterogeneous Similarity Graph Neural Network on Electronic Health Records
https://t.co/6WhEGluvBZ
Learning from pandemics: using extraordinary events can improve disease now-casting models
https://t.co/7jWkDBEzv6
Physics-Informed Deep Learning for Traffic State Estimation
https://t.co/43BlFlrB6W
Diverse Complexity Measures for Dataset Curation in Self-driving
https://t.co/CZCCyoONoE
Phases of learning dynamics in artificial neural networks: with or without mislabeled data
https://t.co/5hgjP1yYgN
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks
https://t.co/aQbjE43vtA
Visual Analytics approach for finding spatiotemporal patterns from COVID19
https://t.co/pSrj6m6zj5
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
https://t.co/SMWKivSQuU
Latent Space Analysis of VAE and Intro-VAE applied to 3-dimensional MR Brain Volumes of Multiple Sclerosis, Leukoencephalopathy, and Healthy Patients
https://t.co/XcyMard8Nf
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution
https://t.co/s5cJeOGptC
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization
https://t.co/B9E2XzC4zC
Data-driven discovery of multiscale chemical reactions governed by the law of mass action
https://t.co/M2HkwCZBQm
Temporal Clustering of Disorder Events During the COVID-19 Pandemic
https://t.co/5M4wjqpubk
Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling
https://t.co/zYC4jpnXkH
Comparison of Machine Learning for Sentiment Analysis in Detecting Anxiety Based on Social Media Data
https://t.co/0B1e6SVE2d
Exponential Kernels with Latency in Hawkes Processes: Applications in Finance
https://t.co/S44KgRfJjs
Deciding What to Learn: A Rate-Distortion Approach
https://t.co/s6TPmGNN5M
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
https://t.co/ATqL7pEWkP
The Geometry of Deep Generative Image Models and its Applications
https://t.co/EwSU9rEiaw
Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features
https://t.co/jcJIQk6gwJ
A Neophyte With AutoML: Evaluating the Promises of Automatic Machine Learning Tools
https://t.co/diHKuYRFdO
Empirical Evaluation of Supervision Signals for Style Transfer Models
https://t.co/0lxQ3WXzaN
Needmining: Designing Digital Support to Elicit Needs from Social Media
https://t.co/xRhSg5WL9I
A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function
https://t.co/252Oegv871
Video Summarization Using Deep Neural Networks: A Survey
https://t.co/LffqAz9gVb
Nowcasting Gentrification Using Airbnb Data
https://t.co/tySM5cSpy9
How Shift Equivariance Impacts Metric Learning for Instance Segmentation
https://t.co/OPdhtdDmC2
