Balaji Krishnamurthy

According to our database, Balaji Krishnamurthy authored at least 98 papers between 1988 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CoPrompter: User-Centric Evaluation of LLM Instruction Alignment for Improved Prompt Engineering.

Ishika Joshi, Simra Shahid, Shreeya Venneti, Manushree Vasu, Yantao Zheng, Yunyao Li, Balaji Krishnamurthy, Gromit Yeuk-Yin Chan

CoRR, 2024

ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models.

Ashutosh Srivastava, Tarun Ram Menta, Abhinav Java, Avadhoot Jadhav, Silky Singh, Surgan Jandial, Balaji Krishnamurthy

CoRR, 2024

Measuring and Improving Persuasiveness of Large Language Models.

Somesh Singh, Yaman Kumar Singla, Harini S. I, Balaji Krishnamurthy

CoRR, 2024

LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs.

Somesh Singh, Harini S. I, Yaman Kumar Singla, Veeky Baths, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy

CoRR, 2024

CABINET: Content Relevance-based Noise Reduction for Table Question Answering.

Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior.

Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Active Transferability Estimation.

Tarun Ram Menta, Surgan Jandial, Akash Patil, Saketh Bachu, Vimal K. B., Balaji Krishnamurthy, Vineeth N. Balasubramanian, Mausoom Sarkar, Chirag Agarwal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

flame: A Framework for Learning in Agent-based ModEls.

Ayush Chopra, Jayakumar Subramanian, Balaji Krishnamurthy, Ramesh Raskar

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract).

Shaz Furniturewala, Surgan Jandial, Abhinav Java, Simra Shahid, Pragyan Banerjee, Balaji Krishnamurthy, Sumit Bhatia, Kokil Jaidka

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation.

Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Behavior Optimized Image Generation.

Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Rajiv Ratn Shah, Changyou Chen, Zhiqiang Xu, Balaji Krishnamurthy

CoRR, 2023

All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation.

Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia

CoRR, 2023

Long-Term Memorability On Advertisements.

Harini S. I, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy

CoRR, 2023

FODVid: Flow-guided Object Discovery in Videos.

Silky Singh, Shripad V. Deshmukh, Mausoom Sarkar, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy

CoRR, 2023

SARC: Soft Actor Retrospective Critic.

Sukriti Verma, Ayush Chopra, Jayakumar Subramanian, Mausoom Sarkar, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy

CoRR, 2023

HyHTM: Hyperbolic Geometry based Hierarchical Topic Models.

Simra Shahid, Tanay Anand, Nikitha Srikanth, Sumit Bhatia, Balaji Krishnamurthy, Nikaash Puri

CoRR, 2023

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models.

H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy

CoRR, 2023

Towards Estimating Transferability using Hard Subsets.

Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar

CoRR, 2023

One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text.

Abhinav Java, Shripad V. Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Explaining RL Decisions with Trajectories.

Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian

Proceedings of the Eleventh International Conference on Learning Representations, 2023

UMFuse: Unified Multi View Fusion for Human Editing applications.

Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Computable Contracts by Extracting Obligation Logic Graphs.

Sergio Servantez, Nedim Lipka, Alexa F. Siu, Milan Aggarwal, Balaji Krishnamurthy, Aparna Garimella, Kristian J. Hammond, Rajiv Jain

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models.

H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot.

Aanisha Bhattacharyya, Yaman Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Synthesizing Human Gaze Feedback for Improved NLP Performance.

Varun Khurana, Yaman Kumar, Nora Hollenstein, Rajesh Kumar, Balaji Krishnamurthy

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Parameter Efficient Local Implicit Image Function Network for Face Segmentation.

Mausoom Sarkar, Nikitha S. R., Mayur Hemani, Rishabh Jain, Balaji Krishnamurthy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Gatha: Relational Loss for enhancing text-based style transfer.

Surgan Jandial, Shripad V. Deshmukh, Abhinav Java, Simra Shahid, Balaji Krishnamurthy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

VGFlow: Visibility guided Flow Network for Human Reposing.

Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning.

Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training.

Silky Singh, Shripad V. Deshmukh, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Differentiable Agent-based Epidemiology.

Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model.

Simra Shahid, Tanay Anand, Nikitha Srikanth, Sumit Bhatia, Balaji Krishnamurthy, Nikaash Puri

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Persuasion Strategies in Advertisements.

Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines.

Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Ayush Bhardwaj, Tushar Malyan, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen

CoRR, 2022

Differentiable Agent-based Epidemiology.

Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar

CoRR, 2022

INDIGO: Intrinsic Multimodality for Domain Generalization.

Puneet Mangla, Shivam Chandhok, Milan Aggarwal, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2022

On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models.

Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian

CoRR, 2022

Data InStance Prior (DISP) in Generative Adversarial Networks.

Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval.

Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

LM-CORE: Language Models with Contextually Relevant External Knowledge.

Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

CoSe-Co: Text Conditioned Generative CommonSense Contextualizer.

Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SHERLock: Self-Supervised Hierarchical Event Representation Learning.

S. Roychowdhury, Sumedh A. Sontakke, Laurent Itti, M. Sarkar, M. Aggarwal, Pinkesh Badjatiya, Nikaash Puri, Balaji Krishnamurthy

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Distilling the Undistillable: Learning from a Nasty Teacher.

Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy

Proceedings of the Computer Vision - ECCV 2022, 2022

Status-quo Policy Gradient in Multi-Agent Reinforcement Learning.

Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

MINIMAL: Mining Models for Universal Adversarial Triggers.

Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks.

Ayush Chopra, Esma Senturk Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar

CoRR, 2021

MINIMAL: Mining Models for Data Free Universal Adversarial Triggers.

Swapnil Parekh, Yaman Kumar Singla, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah

CoRR, 2021

Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms.

Sumedh A. Sontakke, Sumegh Roychowdhury, Mausoom Sarkar, Nikaash Puri, Balaji Krishnamurthy, Laurent Itti

CoRR, 2021

Information-theoretic Evolution of Model Agnostic Global Explanations.

Sukriti Verma, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy

CoRR, 2021

DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions.

Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley

Proceedings of the Winter Simulation Conference, 2021

LT-GAN: Self-Supervised GAN with Latent Transformation Detection.

Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

What Ails One-Shot Image Segmentation: A Data Perspective.

Mayur Hemani, Abhinav Patel, Tejas Shimpi, Anirudha Ramesh, Balaji Krishnamurthy

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors.

Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Leveraging Style and Content Features for Text Conditioned Image Retrieval.

Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring.

Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

TAN-NTM: Topic Attention Networks for Neural Topic Modeling.

Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Data Instance Prior for Transfer Learning in GANs.

Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2020

Unsupervised Hierarchical Concept Learning.

Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri, Mausoom Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Balaji Krishnamurthy, Laurent Itti

CoRR, 2020

MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance.

Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy

CoRR, 2020

TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback.

Surgan Jandial, Ayush Chopra, Pinkesh Badjatiya, Pranit Chawla, Mausoom Sarkar, Balaji Krishnamurthy

CoRR, 2020

Exploring Neural Models for Parsing Natural Language into First-Order Logic.

Hrituraj Singh, Milan Aggarwal, Balaji Krishnamurthy

CoRR, 2020

Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss.

Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Balaji Krishnamurthy

CoRR, 2020

ShapeVis: High-dimensional Data Visualization at Scale.

Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Towards a Unified Framework for Visual Compatibility Prediction.

Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Charting the Right Manifold: Manifold Mixup for Few-shot Learning.

Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On.

Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Multi-Modal Association based Grouping for Form Structure Extraction.

Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks.

Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation.

Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution.

Nikaash Puri, Sukriti Verma, Piyush Gupta, Dhruv Kayastha, Shripad V. Deshmukh, Balaji Krishnamurthy, Sameer Singh

Proceedings of the 8th International Conference on Learning Representations, 2020

MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance.

Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Form2Seq : A Framework for Higher-Order Form Structure Extraction.

Milan Aggarwal, Hiresh Gupta, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Attributional Robustness Training Using Input-Gradient Spatial Alignment.

Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy

Proceedings of the Computer Vision - ECCV 2020, 2020

Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic Segmentation.

Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency.

Piyush Gupta, Nikaash Puri, Sukriti Verma, Dhruv Kayastha, Shripad V. Deshmukh, Balaji Krishnamurthy, Sameer Singh

CoRR, 2019

A Method for Computing Class-wise Universal Adversarial Perturbations.

Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy

CoRR, 2019

On the Benefits of Attributional Robustness.

Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2019

Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation.

Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy

CoRR, 2019

OpticalGAN : Generative Adversarial Networks for Continuous Variable Quantum Computation.

Nilay Shrivastava, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy, Sukriti Verma

CoRR, 2019

Attention Based Natural Language Grounding by Navigating Virtual Environment.

Abhishek Sinha, Akilesh B, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models.

Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Powering Virtual Try-On via Auxiliary Human Segmentation Learning.

Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework.

Kumar Ayush, Surgan Jandial, Ayush Chopra, Mayur Hemani, Balaji Krishnamurthy

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Powering Robust Fashion Retrieval With Information Rich Feature Embeddings.

Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

ReDecode Framework for Iterative Improvement in Paraphrase Generation.

Milan Aggarwal, Nupur Kumari, Ayush Bansal, Balaji Krishnamurthy

CoRR, 2018

Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space.

Mayank Singh, Abhishek Sinha, Balaji Krishnamurthy

CoRR, 2018

Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space.

Abhishek Sinha, Mayank Singh, Balaji Krishnamurthy

Proceedings of the ECML PKDD 2018 Workshops, 2018

Understanding Adversarial Space Through the Lens of Attribution.

Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy

Proceedings of the ECML PKDD 2018 Workshops, 2018

Multimapper: Data Density Sensitive Topological Visualization.

Bishal Deb, Ankita Sarkar, Nupur Kumari, Akash Rupela, Piyush Gupta, Balaji Krishnamurthy

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Improving Search Through A3C Reinforcement Learning Based Conversational Agent.

Milan Aggarwal, Aarushi Arora, Shagun Sodhani, Balaji Krishnamurthy

Proceedings of the Computational Science - ICCS 2018, 2018

2017

Reinforcement Learning Based Conversational Search Assistant.

Milan Aggarwal, Aarushi Arora, Shagun Sodhani, Balaji Krishnamurthy

CoRR, 2017

MAGIX: Model Agnostic Globally Interpretable Explanations.

Nikaash Puri, Piyush Gupta, Pratiksha Agarwal, Sukriti Verma, Balaji Krishnamurthy

CoRR, 2017

Introspection: Accelerating Neural Network Training By Learning Weight Evolution.

Abhishek Sinha, Aahitagni Mukherjee, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Learning Vector-space Representations of Items for Recommendations Using Word Embedding Models.

Balaji Krishnamurthy, Nikaash Puri

Proceedings of the International Conference on Computational Science 2016, 2016

2013

Refinement of depth maps by fusion of multiple estimates.

Balaji Krishnamurthy, Anubha Rastogi

J. Electronic Imaging, 2013

2008

Localized Hierarchical Graph Cuts.

Anubha Rastogi, Balaji Krishnamurthy

Proceedings of the Sixth Indian Conference on Computer Vision, Graphics & Image Processing, 2008

1990

Embedding Hamiltonians and Hypercubes in Star Interconnection Graphs.

Madhusudan Nigam, Sartaj Sahni, Balaji Krishnamurthy

Proceedings of the 1990 International Conference on Parallel Processing, 1990

1988

What is the Path to Fast Fault Simulation?

Miron Abramovici, Balaji Krishnamurthy, Rob Mathews, Bill Rogers, Michael Schulz, Sharad Seth, John A. Waicukauski

Proceedings of the Proceedings International Test Conference 1988, 1988