About

Decision Making is a complex task that involves analyzing data (of different level of abstraction) from disparate sources and with different levels of certainty, merging the information by weighing in on some data source more than other, and arriving at a conclusion by exploring all possible alternatives.

Source: Complex Events Recognition under Uncertainty in a Sensor Network

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Datasets

Latest papers with code

Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning

5 May 2021mattswatson/attack-agnostic-adversarial-attack-detection

On the MIMIC-III and Henan-Renmin EHR datasets, we report a detection accuracy of 77% against the Longitudinal Adversarial Attack.

ADVERSARIAL ATTACK ANOMALY DETECTION DECISION MAKING

1
05 May 2021

Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual

5 May 2021sisl/delsmm

Structured Mechanical Models (SMMs) are a data-efficient black-box parameterization of mechanical systems, typically fit to data by minimizing the error between predicted and observed accelerations or next states.

DECISION MAKING TIME SERIES

0
05 May 2021

MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization

1 May 2021saurabhhssaurabh/reviews_summarization

We demonstrated our results on reviews of a product from the Electronics category in the Amazon Reviews dataset.

DECISION MAKING MACHINE READING COMPREHENSION TRANSFER LEARNING

0
01 May 2021

Deep learning with self-supervision and uncertainty regularization to count fish in underwater images

30 Apr 2021ptarling/DeepLearningFishCounting

From experiments on both contrasting datasets, we demonstrate our network outperforms the few other deep learning models implemented for solving this task.

CROWD COUNTING DECISION MAKING

0
30 Apr 2021

Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability

24 Apr 2021pnokhiz/precarity

When it comes to studying the impacts of decision making, the research has been largely focused on examining the fairness of the decisions, the long-term effects of the decision pipelines, and utility-based perspectives considering both the decision-maker and the individuals.

DECISION MAKING FAIRNESS

1
24 Apr 2021

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems

23 Apr 2021DanieleGammelli/gnn-rl-for-amod

Autonomous mobility-on-demand (AMoD) systems represent a rapidly developing mode of transportation wherein travel requests are dynamically handled by a coordinated fleet of robotic, self-driving vehicles.

DECISION MAKING

4
23 Apr 2021

Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

22 Apr 2021zcchenvy/CIL-DDQN

To this, we model the traffic control problem as a partially observable weak cooperative traffic model (PO-WCTM) to optimize the overall traffic situation of a group of intersections.

DECISION MAKING

1
22 Apr 2021

Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation

21 Apr 2021GT-RIPL/robo-vln

In this work, we lift the agent off the navigation graph and propose a more complex VLN setting in continuous 3D reconstructed environments.

DECISION MAKING VISION AND LANGUAGE NAVIGATION VISION-LANGUAGE NAVIGATION

8
21 Apr 2021

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion

17 Apr 2021JiapengWu/Time-Aware-Incremental-Embedding

The model has to adapt to changes in the TKG for efficient training and inference while preserving its performance on historical knowledge.

DECISION MAKING INFORMATION RETRIEVAL KNOWLEDGE GRAPH COMPLETION REPRESENTATION LEARNING TEMPORAL KNOWLEDGE GRAPH COMPLETION

1
17 Apr 2021

Faithfully Explainable Recommendation via Neural Logic Reasoning

16 Apr 2021orcax/LOGER

Knowledge graphs (KG) have become increasingly important to endow modern recommender systems with the ability to generate traceable reasoning paths to explain the recommendation process.

DECISION MAKING KNOWLEDGE GRAPHS RECOMMENDATION SYSTEMS

1
16 Apr 2021