SOTAVerified

Decision Making

Papers

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Showing 10451–10500 of 12311 papers

TitleStatusHype
Attention is not not ExplanationCode3
Adaptive Learning of Aggregate Analytics under Dynamic Workloads—0
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders—0
Learn to Compress CSI and Allocate Resources in Vehicular Networks—0
Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control—0
A review on Deep Reinforcement Learning for Fluid MechanicsCode0
LoRMIkA: Local rule-based model interpretability with k-optimal associations—0
Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation—0
Concepts and Applications of Conformal Prediction in Computational Drug Discovery—0
Bayesian Inference for Large Scale Image Classification—0
Oxford Handbook on AI Ethics Book Chapter on Race and Gender—0
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio—0
Free-Lunch Saliency via Attention in Atari AgentsCode0
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective—0
Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival—0
Model Agnostic Defence against Backdoor Attacks in Machine LearningCode1
Online Planning for Decentralized Stochastic Control with Partial History Sharing—0
Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm—0
Distributed Deep Convolutional Neural Networks for the Internet-of-Things—0
Efficient computation of counterfactual explanations of LVQ modelsCode0
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features—0
Decision-making, Risk, and Gist Machine Translation in the Work of Patent Professionals—0
A Survey on Deep Learning of Small Sample in Biomedical Image AnalysisCode0
Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation—0
Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control—0
FairSight: Visual Analytics for Fairness in Decision MakingCode0
Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa—0
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections—0
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space—0
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language—0
An Experimental Protocol to Derive and Validate a Quantum Model of Decision-Making—0
Learn to Allocate Resources in Vehicular Networks—0
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with BackpropagationCode0
Reward Learning for Efficient Reinforcement Learning in Extractive Document SummarisationCode0
Reinforcement with Fading Memories—0
A Distributed Approach to LARS Stream Reasoning (System paper)—0
Bandit Convex Optimization in Non-stationary Environments—0
Lotka-Volterra competition mechanism embedded in a decision-making method—0
Spatiotemporal Information Processing with a Reservoir Decision-making Network—0
Choosing with unknown causal information: Action-outcome probabilities for decision making can be grounded in causal models—0
Single Level Feature-to-Feature Forecasting with Deformable Convolutions—0
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems—0
Modelling Dynamic Interactions between Relevance Dimensions—0
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving—0
Personalised novel and explainable matrix factorisation—0
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL—0
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making SystemsCode0
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges—0
A Sufficient Statistic for Influence in Structured Multiagent Environments—0
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified