Search Results for author: Biplav Srivastava

Found 18 papers, 2 papers with code

E-PDDL: A Standardized Way of Defining Epistemic Planning Problems

no code implementations19 Jul 2021 Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner, Lior Horesh, Francesca Rossi, Marianna Bergamaschi Ganapini

Epistemic Planning (EP) refers to an automated planning setting where the agent reasons in the space of knowledge states and tries to find a plan to reach a desirable state from the current state.

"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit

no code implementations12 May 2021 Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit Sheth

During the ongoing COVID-19 crisis, subreddits on Reddit, such as r/Coronavirus saw a rapid growth in user's requests for help (support seekers - SSs) including individuals with varying professions and experiences with diverse perspectives on care (support providers - SPs).

Natural Language Inference

Did Chatbots Miss Their 'Apollo Moment'? A Survey of the Potential, Gaps and Lessons from Using Collaboration Assistants During COVID-19

no code implementations27 Feb 2021 Biplav Srivastava

Artificial Intelligence (AI) technologies have long been positioned as a tool to provide crucial data-driven decision support to people.

SWOW-8500: Word Association task for Intrinsic Evaluation of Word Embeddings

1 code implementation WS 2019 Avijit Thawani, Biplav Srivastava, Anil Singh

Downstream evaluation of pretrained word embeddings is expensive, more so for tasks where current state of the art models are very large architectures.

General Classification Natural Language Inference +3

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

no code implementations9 Nov 2018 Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy, Biplav Srivastava

While machine learning (ML) models are being increasingly trusted to make decisions in different and varying areas, the safety of systems using such models has become an increasing concern.

Tentacular Artificial Intelligence, and the Architecture Thereof, Introduced

no code implementations14 Oct 2018 Selmer Bringsjord, Naveen Sundar Govindarajulu, Atriya Sen, Matthew Peveler, Biplav Srivastava, Kartik Talamadupula

We briefly introduce herein a new form of distributed, multi-agent artificial intelligence, which we refer to as "tentacular."

A Train Status Assistant for Indian Railways

no code implementations23 Sep 2018 Himadri Mishra, Ramashish Gaurav, Biplav Srivastava

Trains are part-and-parcel of every day lives in countries with large, diverse, multi-lingual population like India.

Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach

no code implementations22 Sep 2018 Ravi Kiran Raman, Roman Vaculin, Michael Hind, Sekou L. Remy, Eleftheria K. Pissadaki, Nelson Kibichii Bore, Roozbeh Daneshvar, Biplav Srivastava, Kush R. Varshney

Large-scale computational experiments, often running over weeks and over large datasets, are used extensively in fields such as epidemiology, meteorology, computational biology, and healthcare to understand phenomena, and design high-stakes policies affecting everyday health and economy.

Epidemiology

Towards Composable Bias Rating of AI Services

no code implementations31 Jul 2018 Biplav Srivastava, Francesca Rossi

The possibly biased behavior of a service is hard to detect and handle if the AI service is merely being used and not developed from scratch, since the training data set is not available.

Translation

Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model

2 code implementations7 Jun 2018 Ramashish Gaurav, Biplav Srivastava

India runs the fourth largest railway transport network size carrying over 8 billion passengers per year.

On Chatbots Exhibiting Goal-Directed Autonomy in Dynamic Environments

no code implementations26 Mar 2018 Biplav Srivastava

Conversation interfaces (CIs), or chatbots, are a popular form of intelligent agents that engage humans in task-oriented or informal conversation.

Toward Cognitive and Immersive Systems: Experiments in a Cognitive Microworld

no code implementations14 Sep 2017 Matthew Peveler, Naveen Sundar Govindarajulu, Selmer Bringsjord, Biplav Srivastava, Kartik Talamadupula, Hui Su

These \textit{cognitive and immersive systems} (CAISs) fall squarely into the intersection of AI with HCI/HRI: such systems interact with and assist the human agents that enter them, in no small part because such systems are infused with AI able to understand and reason about these humans and their knowledge, beliefs, goals, communications, plans, etc.

Visualizations for an Explainable Planning Agent

no code implementations13 Sep 2017 Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy

In this paper, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human in the loop decision making.

Decision Making

Workflow Complexity for Collaborative Interactions: Where are the Metrics? -- A Challenge

no code implementations13 Sep 2017 Kartik Talamadupula, Biplav Srivastava, Jeffrey O. Kephart

In this paper, we introduce the problem of denoting and deriving the complexity of workflows (plans, schedules) in collaborative, planner-assisted settings where humans and agents are trying to jointly solve a task.

A Measure for Dialog Complexity and its Application in Streamlining Service Operations

no code implementations4 Aug 2017 Q. Vera Liao, Biplav Srivastava, Pavan Kapanipathi

Dialog is a natural modality for interaction between customers and businesses in the service industry.

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