Balaraman Ravindran

According to our database1, Balaraman Ravindran authored at least 111 papers between 1998 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2019
Studying the plasticity in deep convolutional neural networks using random pruning.
Mach. Vis. Appl., 2019

Successor Options: An Option Discovery Framework for Reinforcement Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Advice Replay Approach for Richer Knowledge Transfer in Teacher Student Framework.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data.
DATA BASE, 2018

Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings.
Computers & Industrial Engineering, 2018

Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Overtaking Maneuvers in Simulated Highway Driving using Deep Reinforcement Learning.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Learning to Multi-Task by Active Sampling.
Proceedings of the 6th International Conference on Learning Representations, 2018

Looking Under the Hood of Deep Neural Networks.
Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

A novel topic modeling based weighting framework for class imbalance learning.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

A neural attention based approach for clickstream mining.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

RAIL: Risk-Averse Imitation Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Dynamic Class Learning Approach for Smart CBIR.
Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017

Thresholding Bandits with Augmented UCB.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online Multi-Task Learning Using Active Sampling.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

EPOpt: Learning Robust Neural Network Policies Using Model Ensembles.
Proceedings of the 5th International Conference on Learning Representations, 2017

Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain.
Proceedings of the 5th International Conference on Learning Representations, 2017

Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

DCEIL: Distributed Community Detection with the CEIL Score.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

MCEIL: An Improved Scoring Function for Overlapping Community Detection using Seed Expansion Methods.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Diversity driven attention model for query-based abstractive summarization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Dynamic Action Repetition for Deep Reinforcement Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Correlational Neural Networks.
Neural Computation, 2016

Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning.
Proceedings of the NAACL HLT 2016, 2016

HEMI: Hyperedge Majority Influence Maximization.
Proceedings of the 2nd International Workshop on Social Influence Analysis co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016

Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version).
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Hierarchical activity recognition for dementia care using Markov Logic Network.
Personal and Ubiquitous Computing, 2015

A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making.
Front. Comput. Neurosci., 2015

COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Scalable Bayesian Matrix Factorization.
Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015) co-located with the 26th European Conference on Machine Learning / 19th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Nonparametric Poisson Factorization Machine.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Measuring network centrality using hypergraphs.
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

From multiple views to single view: a neural network approach.
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

Active Learning Based Weak Supervision for Textual Survey Response Classification.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

Near Optimal Strategies for Targeted Marketing in Social Networks.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning.
Front. Comput. Neurosci., 2014

Activity Recognition for Natural Human Robot Interaction.
Proceedings of the Social Robotics - 6th International Conference, 2014

An Autoencoder Approach to Learning Bilingual Word Representations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

RRTPI: Policy iteration on continuous domains using rapidly-exploring random trees.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Studying Indian Railways Network using hypergraphs.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

Temporal analysis of telecom call graphs.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

Multi-label collective classification in multi-attribute multi-relational network data.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality.
J. Artif. Intell. Res., 2013

Incremental Constrained Clustering: A Decision Theoretic Approach.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Detection of Real-Time Intentions from Micro-blogs.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2013

iCaseViz: Learning Case Similarities through Interaction with a Case Base Visualizer.
Proceedings of the Case-Based Reasoning Research and Development, 2013

Determining Review Coverage by Extracting Topic Sentences Using A Graph-based Clustering Approach.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

Will your facebook post be engaging?
Proceedings of the 1st workshop on User engagement optimization, 2013

Automated faceted reporting for web analytics.
Proceedings of the 4th international workshop on Web-scale knowledge representation retrieval and reasoning, 2013

2012
Gaze Allocation Analysis for a Visually Guided Manipulation Task.
Proceedings of the From Animals to Animats 12, 2012

Towards Analyzing Micro-Blogs for Detection and Classification of Real-Time Intentions.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Where do i look now? Gaze allocation during visually guided manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Feature Weighting and Confidence Based Prediction for Case Based Reasoning Systems.
Proceedings of the Case-Based Reasoning Research and Development, 2012

Understanding the Role of Serotonin in Basal Ganglia through a Unified Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Instructing a Reinforcement Learner.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Adaptive network intrusion detection system using a hybrid approach.
Proceedings of the Fourth International Conference on Communication Systems and Networks, 2012

Functional site prediction by exploiting correlations between labels of interacting residues.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Learning in a small world.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
Modeling Basal Ganglia for Understanding Parkinsonian Reaching Movements.
Neural Computation, 2011

Multi-view methods for protein structure comparison using latent dirichlet allocation.
Bioinformatics [ISMB/ECCB], 2011

Fractional Moments on Bandit Problems.
Proceedings of the UAI 2011, 2011

Utility Driven Clustering.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Personalized Intelligent Tutoring System Using Reinforcement Learning.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Options with Exceptions.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

A system approach to network modeling for DDoS detection using a Naìve Bayesian classifier.
Proceedings of the Third International Conference on Communication Systems and Networks, 2011

2010
Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment.
Artif. Intell. Law, 2010

Efficient Computation of the Shapley Value for Centrality in Networks.
Proceedings of the Internet and Network Economics - 6th International Workshop, 2010

Transfer learning across heterogeneous robots with action sequence mapping.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Accurate mobile robot localization in indoor environments using bluetooth.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

An Oscillatory Neural Network Model for Birdsong Learning and Generation.
Proceedings of the Artificial Neural Networks, 2010

Visual Object Detection using Frequent Pattern Mining.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Mining Actionable Patterns.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Multi Grain Sentiment Analysis using Collective Classification.
Proceedings of the ECAI 2010, 2010

Game theoretic network centrality: exact formulas and efficient algorithms.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
Improving legal information retrieval using an ontological framework.
Artif. Intell. Law, 2009

Epsilon Equitable Partition: A positional analysis method for large social networks.
Proceedings of the 15th International Conference on Management of Data, 2009

MDP based active localization for multiple robots.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2009

2008
Latent dirichlet allocation based multi-document summarization.
Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 2008

Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Lexical Chains as Document Features.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

On the hardness of finding symmetries in Markov decision processes.
Proceedings of the Machine Learning, 2008

Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Co-SOFT-Clustering: An Information Theoretic Approach to Obtain Overlapping Clusters from Co-Occurrence Data.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Machine Learning to Predict the Incidence of Retinopathy of Prematurity.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Successive refinement algorithms for distributed area coverage using mobile robots.
Proceedings of the 1st Bangalore Annual Compute Conference, Compute 2008, 2008

Personalized Web-page Rendering System.
Proceedings of the 14th International Conference on Management of Data, 2008

2007
Homogeneous Hierarchical Composition of Areas in Multi-robot Area Coverage.
Proceedings of the Abstraction, 2007

Using Legal Ontology for Query Enhancement in Generating a Document Summary.
Proceedings of the Legal Knowledge and Information Systems, 2007

Deictic Option Schemas.
Proceedings of the IJCAI 2007, 2007

Efficiently Exploiting Symmetries in Real Time Dynamic Programming.
Proceedings of the IJCAI 2007, 2007

Image Modeling Using Tree Structured Conditional Random Fields.
Proceedings of the IJCAI 2007, 2007

Intelligent Tutoring Systems using Reinforcement Learning to teach Autistic Students.
Proceedings of the Home Informatics and Telematics: ICT for The Next Billion, 2007

Profiling Pseudonet Architecture for Coordinating Mobile Robots.
Proceedings of the Second International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2007), 2007

2006
A Probabilistic Approach to Multi-Document Summarization for Generating a Tiled Summary.
International Journal of Computational Intelligence and Applications, 2006

Improving Legal Document Summarization Using Graphical Models.
Proceedings of the Legal Knowledge and Information Systems, 2006

A Hierarchical Approach to Landform Classification of Satellite Images Using a Fusion Strategy.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

2005
Placement and Routing for 3D-FPGAs Using Reinforcement Learning and Support Vector Machines.
Proceedings of the 18th International Conference on VLSI Design (VLSI Design 2005), 2005

2003
SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi-Markov Decision Processes.
Proceedings of the IJCAI-03, 2003

Relativized Options: Choosing the Right Transformation.
Proceedings of the Machine Learning, 2003

2002
Model Minimization in Hierarchical Reinforcement Learning.
Proceedings of the Abstraction, 2002

1998
Improved Switching among Temporally Abstract Actions.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998


  Loading...