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2020 – today
- 2024
[c62]Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia:
All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation. AAAI 2024: 17673-17681- [c61]Shaz Furniturewala, Surgan Jandial, Abhinav Java, Simra Shahid, Pragyan Banerjee, Balaji Krishnamurthy, Sumit Bhatia, Kokil Jaidka:
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract). AAAI 2024: 23492-23493 - [c60]Ayush Chopra, Jayakumar Subramanian, Balaji Krishnamurthy, Ramesh Raskar:
flame: A Framework for Learning in Agent-based ModEls. AAMAS 2024: 391-399 - [c59]Tarun Ram Menta, Surgan Jandial, Akash Patil, Saketh Bachu, Vimal K. B., Balaji Krishnamurthy, Vineeth N. Balasubramanian, Mausoom Sarkar, Chirag Agarwal:
Active Transferability Estimation. CVPR Workshops 2024: 2659-2670 - [c58]Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy:
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. ICLR 2024 - [c57]Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy:
CABINET: Content Relevance-based Noise Reduction for Table Question Answering. ICLR 2024 - [i61]Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy:
CABINET: Content Relevance based Noise Reduction for Table Question Answering. CoRR abs/2402.01155 (2024) - [i60]Somesh Singh, Harini S. I, Yaman Kumar Singla, Veeky Baths, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy:
LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs. CoRR abs/2405.00942 (2024) - [i59]Somesh Singh, Yaman Kumar Singla, Harini S. I, Balaji Krishnamurthy:
Measuring and Improving Persuasiveness of Large Language Models. CoRR abs/2410.02653 (2024) - 2023
- [c56]Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen:
Persuasion Strategies in Advertisements. AAAI 2023: 57-66 - [c55]Simra Shahid, Tanay Anand, Nikitha Srikanth, Sumit Bhatia, Balaji Krishnamurthy, Nikaash Puri:
HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model. ACL (Findings) 2023: 11672-11688 - [c54]Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar:
Differentiable Agent-based Epidemiology. AAMAS 2023: 1848-1857 - [c53]Silky Singh, Shripad V. Deshmukh, Mausoom Sarkar, Balaji Krishnamurthy:
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training. BMVC 2023: 295 - [c52]Surgan Jandial
, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. COMAD/CODS 2023: 10-18 - [c51]Surgan Jandial, Shripad V. Deshmukh, Abhinav Java, Simra Shahid, Balaji Krishnamurthy:
Gatha: Relational Loss for enhancing text-based style transfer. CVPR Workshops 2023: 3546-3551 - [c50]Mausoom Sarkar, Nikitha S. R., Mayur Hemani, Rishabh Jain, Balaji Krishnamurthy:
Parameter Efficient Local Implicit Image Function Network for Face Segmentation. CVPR 2023: 20970-20980 - [c49]Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy:
VGFlow: Visibility guided Flow Network for Human Reposing. CVPR 2023: 21088-21097 - [c48]Varun Khurana, Yaman Kumar, Nora Hollenstein, Rajesh Kumar, Balaji Krishnamurthy:
Synthesizing Human Gaze Feedback for Improved NLP Performance. EACL 2023: 1887-1900 - [c47]H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy:
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models. EMNLP (Findings) 2023: 6690-6705 - [c46]Aanisha Bhattacharyya, Yaman Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen:
A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot. EMNLP 2023: 9822-9839 - [c45]Sergio Servantez, Nedim Lipka, Alexa F. Siu, Milan Aggarwal, Balaji Krishnamurthy, Aparna Garimella, Kristian J. Hammond, Rajiv Jain:
Computable Contracts by Extracting Obligation Logic Graphs. ICAIL 2023: 267-276 - [c44]Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy:
UMFuse: Unified Multi View Fusion for Human Editing applications. ICCV 2023: 7148-7157 - [c43]Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian:
Explaining RL Decisions with Trajectories. ICLR 2023 - [c42]Abhinav Java, Shripad V. Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy:
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text. WACV 2023: 5426-5435 - [i58]Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar:
Towards Estimating Transferability using Hard Subsets. CoRR abs/2301.06928 (2023) - [i57]Varun Khurana, Yaman Kumar Singla, Nora Hollenstein, Rajesh Kumar, Balaji Krishnamurthy:
Synthesizing Human Gaze Feedback for Improved NLP Performance. CoRR abs/2302.05721 (2023) - [i56]Mausoom Sarkar, Nikitha S. R., Mayur Hemani, Rishabh Jain, Balaji Krishnamurthy:
Parameter Efficient Local Implicit Image Function Network for Face Segmentation. CoRR abs/2303.15122 (2023) - [i55]Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian:
Explaining RL Decisions with Trajectories. CoRR abs/2305.04073 (2023) - [i54]H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy:
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models. CoRR abs/2305.06677 (2023) - [i53]Simra Shahid, Tanay Anand, Nikitha Srikanth, Sumit Bhatia, Balaji Krishnamurthy, Nikaash Puri:
HyHTM: Hyperbolic Geometry based Hierarchical Topic Models. CoRR abs/2305.09258 (2023) - [i52]Aanisha Bhattacharya, Yaman Kumar Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen:
A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot. CoRR abs/2305.09758 (2023) - [i51]Sukriti Verma, Ayush Chopra, Jayakumar Subramanian, Mausoom Sarkar, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy:
SARC: Soft Actor Retrospective Critic. CoRR abs/2306.16503 (2023) - [i50]Silky Singh, Shripad V. Deshmukh, Mausoom Sarkar, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy:
FODVid: Flow-guided Object Discovery in Videos. CoRR abs/2307.04392 (2023) - [i49]Silky Singh, Shripad V. Deshmukh, Mausoom Sarkar, Balaji Krishnamurthy:
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training. CoRR abs/2308.11239 (2023) - [i48]Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar Singla, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy:
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. CoRR abs/2309.00359 (2023) - [i47]Harini S. I, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy:
Long-Term Memorability On Advertisements. CoRR abs/2309.00378 (2023) - [i46]Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia:
All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation. CoRR abs/2311.05451 (2023) - [i45]Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Rajiv Ratn Shah, Changyou Chen, Zhiqiang Xu, Balaji Krishnamurthy:
Behavior Optimized Image Generation. CoRR abs/2311.10995 (2023) - 2022
- [c41]Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
MINIMAL: Mining Models for Universal Adversarial Triggers. AAAI 2022: 11330-11339 - [c40]Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy:
Status-quo Policy Gradient in Multi-Agent Reinforcement Learning. AAMAS 2022: 1530-1532 - [c39]Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Distilling the Undistillable: Learning from a Nasty Teacher. ECCV (13) 2022: 587-603 - [c38]S. Roychowdhury, Sumedh A. Sontakke, Laurent Itti, M. Sarkar, M. Aggarwal, Pinkesh Badjatiya, Nikaash Puri, Balaji Krishnamurthy:
SHERLock: Self-Supervised Hierarchical Event Representation Learning. ICPR 2022: 2672-2678 - [c37]Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy:
LM-CORE: Language Models with Contextually Relevant External Knowledge. NAACL-HLT (Findings) 2022: 750-769 - [c36]Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy:
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. NAACL-HLT 2022: 1128-1143 - [c35]Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy:
SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval. WACV 2022: 597-606 - [c34]Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
Data InStance Prior (DISP) in Generative Adversarial Networks. WACV 2022: 3471-3481 - [i44]Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models. CoRR abs/2205.03859 (2022) - [i43]Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy:
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. CoRR abs/2206.05706 (2022) - [i42]Puneet Mangla, Shivam Chandhok, Milan Aggarwal, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
INDIGO: Intrinsic Multimodality for Domain Generalization. CoRR abs/2206.05912 (2022) - [i41]Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar:
Differentiable Agent-based Epidemiology. CoRR abs/2207.09714 (2022) - [i40]Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy:
LM-CORE: Language Models with Contextually Relevant External Knowledge. CoRR abs/2208.06458 (2022) - [i39]Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Ayush Bhardwaj, Tushar Malyan, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen:
Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines. CoRR abs/2208.09626 (2022) - [i38]Abhinav Java, Shripad V. Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy:
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text. CoRR abs/2209.06584 (2022) - [i37]Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Distilling the Undistillable: Learning from a Nasty Teacher. CoRR abs/2210.11728 (2022) - [i36]Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy:
VGFlow: Visibility guided Flow Network for Human Reposing. CoRR abs/2211.08540 (2022) - [i35]Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy:
UMFuse: Unified Multi View Fusion for Human Editing applications. CoRR abs/2211.10157 (2022) - 2021
- [c33]Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy:
TAN-NTM: Topic Attention Networks for Neural Topic Modeling. ACL/IJCNLP (1) 2021: 3865-3880 - [c32]Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. CIKM 2021: 1681-1691 - [c31]Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy:
Leveraging Style and Content Features for Text Conditioned Image Retrieval. CVPR Workshops 2021: 3978-3982 - [c30]Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy:
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. ICCV 2021: 5413-5422 - [c29]Mayur Hemani, Abhinav Patel, Tejas Shimpi, Anirudha Ramesh, Balaji Krishnamurthy:
What Ails One-Shot Image Segmentation: A Data Perspective. NeurIPS Datasets and Benchmarks 2021 - [c28]Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
LT-GAN: Self-Supervised GAN with Latent Transformation Detection. WACV 2021: 3188-3197 - [c27]Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley:
DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. WSC 2021: 1-12 - [i34]Sukriti Verma, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy:
Information-theoretic Evolution of Model Agnostic Global Explanations. CoRR abs/2105.06956 (2021) - [i33]Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy:
Multi-Modal Association based Grouping for Form Structure Extraction. CoRR abs/2107.04396 (2021) - [i32]Milan Aggarwal, Hiresh Gupta, Mausoom Sarkar, Balaji Krishnamurthy:
Form2Seq : A Framework for Higher-Order Form Structure Extraction. CoRR abs/2107.04419 (2021) - [i31]Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. CoRR abs/2109.00928 (2021) - [i30]Sumedh A. Sontakke, Sumegh Roychowdhury, Mausoom Sarkar, Nikaash Puri, Balaji Krishnamurthy, Laurent Itti:
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms. CoRR abs/2109.03813 (2021) - [i29]Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy:
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. CoRR abs/2109.07001 (2021) - [i28]Swapnil Parekh, Yaman Kumar Singla, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers. CoRR abs/2109.12406 (2021) - [i27]Ayush Chopra, Esma Senturk Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar:
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks. CoRR abs/2110.04421 (2021) - [i26]Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy:
Status-quo policy gradient in Multi-Agent Reinforcement Learning. CoRR abs/2111.11692 (2021) - 2020
- [c26]Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Attributional Robustness Training Using Input-Gradient Spatial Alignment. ECCV (27) 2020: 515-533 - [c25]Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy:
Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic Segmentation. ECCV (28) 2020: 649-666 - [c24]Milan Aggarwal, Hiresh Gupta, Mausoom Sarkar, Balaji Krishnamurthy:
Form2Seq : A Framework for Higher-Order Form Structure Extraction. EMNLP (1) 2020: 3830-3840 - [c23]Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy:
MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance. ICDM 2020: 1082-1087 - [c22]Nikaash Puri, Sukriti Verma, Piyush Gupta, Dhruv Kayastha, Shripad V. Deshmukh, Balaji Krishnamurthy, Sameer Singh:
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution. ICLR 2020 - [c21]Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy:
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. IJCAI 2020: 573-579 - [c20]Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian:
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. KDD 2020: 1123-1131 - [c19]Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy:
Multi-Modal Association based Grouping for Form Structure Extraction. WACV 2020: 2064-2073 - [c18]Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy:
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. WACV 2020: 2171-2179 - [c17]Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV 2020: 2207-2216 - [c16]Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel, Balaji Krishnamurthy:
Towards a Unified Framework for Visual Compatibility Prediction. WACV 2020: 3596-3605 - [c15]Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy:
ShapeVis: High-dimensional Data Visualization at Scale. WWW 2020: 2920-2926 - [i25]Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy:
ShapeVis: High-dimensional Data Visualization at Scale. CoRR abs/2001.05166 (2020) - [i24]Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Balaji Krishnamurthy:
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss. CoRR abs/2001.05458 (2020) - [i23]Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy:
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. CoRR abs/2001.06265 (2020) - [i22]Hrituraj Singh, Milan Aggarwal, Balaji Krishnamurthy:
Exploring Neural Models for Parsing Natural Language into First-Order Logic. CoRR abs/2002.06544 (2020) - [i21]Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy:
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. CoRR abs/2004.15014 (2020) - [i20]Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian:
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. CoRR abs/2006.13593 (2020) - [i19]Surgan Jandial, Ayush Chopra, Pinkesh Badjatiya, Pranit Chawla, Mausoom Sarkar, Balaji Krishnamurthy:
TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback. CoRR abs/2009.01485 (2020) - [i18]Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy:
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance. CoRR abs/2009.01571 (2020) - [i17]Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri, Mausoom Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Balaji Krishnamurthy, Laurent Itti:
Unsupervised Hierarchical Concept Learning. CoRR abs/2010.02556 (2020) - [i16]Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
LT-GAN: Self-Supervised GAN with Latent Transformation Detection. CoRR abs/2010.09893 (2020) - [i15]Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy:
TAN-NTM: Topic Attention Networks for Neural Topic Modeling. CoRR abs/2012.01524 (2020) - [i14]Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Data Instance Prior for Transfer Learning in GANs. CoRR abs/2012.04256 (2020)
2010 – 2019
- 2019
- [c14]Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy:
Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. CVPR Workshops 2019: 326-334 - [c13]Kumar Ayush, Surgan Jandial, Ayush Chopra, Mayur Hemani, Balaji Krishnamurthy:
Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework. ICCV Workshops 2019: 1279-1281 - [c12]Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy:
Powering Virtual Try-On via Auxiliary Human Segmentation Learning. ICCV Workshops 2019: 3193-3196 - [c11]Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. IJCAI 2019: 2779-2785 - [c10]Abhishek Sinha, Akilesh B, Mausoom Sarkar, Balaji Krishnamurthy:
Attention Based Natural Language Grounding by Navigating Virtual Environment. WACV 2019: 236-244 - [i13]Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. CoRR abs/1905.05186 (2019) - [i12]Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. CoRR abs/1907.12087 (2019) - [i11]Nilay Shrivastava, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy, Sukriti Verma:
OpticalGAN : Generative Adversarial Networks for Continuous Variable Quantum Computation. CoRR abs/1909.07806 (2019) - [i10]Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy:
Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation. CoRR abs/1911.12170 (2019) - [i9]Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
On the Benefits of Attributional Robustness. CoRR abs/1911.13073 (2019) - [i8]Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
A Method for Computing Class-wise Universal Adversarial Perturbations. CoRR abs/1912.00466 (2019) - [i7]Piyush Gupta, Nikaash Puri, Sukriti Verma, Dhruv Kayastha, Shripad V. Deshmukh, Balaji Krishnamurthy, Sameer Singh:
Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency. CoRR abs/1912.12191 (2019) - 2018
- [c9]Milan Aggarwal, Aarushi Arora, Shagun Sodhani, Balaji Krishnamurthy:
Improving Search Through A3C Reinforcement Learning Based Conversational Agent. ICCS (2) 2018: 273-286 - [c8]Bishal Deb, Ankita Sarkar, Nupur Kumari, Akash Rupela, Piyush Gupta, Balaji Krishnamurthy:
Multimapper: Data Density Sensitive Topological Visualization. ICDM Workshops 2018: 1054-1061 - [c7]Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy:
Understanding Adversarial Space Through the Lens of Attribution. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 30-40 - [c6]Abhishek Sinha, Mayank Singh, Balaji Krishnamurthy:
Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 177-190 - [i6]Mayank Singh, Abhishek Sinha, Balaji Krishnamurthy:
Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space. CoRR abs/1801.00905 (2018) - [i5]Abhishek Sinha, Akilesh B, Mausoom Sarkar, Balaji Krishnamurthy:
Attention Based Natural Language Grounding by Navigating Virtual Environment. CoRR abs/1804.08454 (2018) - [i4]Milan Aggarwal, Nupur Kumari, Ayush Bansal, Balaji Krishnamurthy:
ReDecode Framework for Iterative Improvement in Paraphrase Generation. CoRR abs/1811.04454 (2018) - 2017
- [c5]Abhishek Sinha, Aahitagni Mukherjee, Mausoom Sarkar, Balaji Krishnamurthy:
Introspection: Accelerating Neural Network Training By Learning Weight Evolution. ICLR (Poster) 2017 - [i3]Abhishek Sinha, Mausoom Sarkar, Aahitagni Mukherjee, Balaji Krishnamurthy:
Introspection: Accelerating Neural Network Training By Learning Weight Evolution. CoRR abs/1704.04959 (2017) - [i2]Nikaash Puri, Piyush Gupta, Pratiksha Agarwal, Sukriti Verma, Balaji Krishnamurthy:
MAGIX: Model Agnostic Globally Interpretable Explanations. CoRR abs/1706.07160 (2017) - [i1]Milan Aggarwal, Aarushi Arora, Shagun Sodhani, Balaji Krishnamurthy:
Reinforcement Learning Based Conversational Search Assistant. CoRR abs/1709.05638 (2017) - 2016
- [c4]Balaji Krishnamurthy, Nikaash Puri:
Learning Vector-space Representations of Items for Recommendations Using Word Embedding Models. ICCS 2016: 2205-2210 - 2013
- [j1]Balaji Krishnamurthy, Anubha Rastogi:
Refinement of depth maps by fusion of multiple estimates. J. Electronic Imaging 22(1): 011002 (2013)
2000 – 2009
- 2008
- [c3]Anubha Rastogi, Balaji Krishnamurthy:
Localized Hierarchical Graph Cuts. ICVGIP 2008: 163-170
1990 – 1999
- 1990
- [c2]Madhusudan Nigam, Sartaj Sahni, Balaji Krishnamurthy:
Embedding Hamiltonians and Hypercubes in Star Interconnection Graphs. ICPP (3) 1990: 340-343
1980 – 1989
- 1988
- [c1]Miron Abramovici, Balaji Krishnamurthy, Rob Mathews, Bill Rogers, Michael Schulz, Sharad Seth, John A. Waicukauski:
What is the Path to Fast Fault Simulation? ITC 1988: 183-192
Coauthor Index
Vineeth N. Balasubramanian
aka: Vineeth Balasubramanian
aka: Vineeth Balasubramanian
Shripad V. Deshmukh
aka: Shripad Vilasrao Deshmukh
aka: Shripad Vilasrao Deshmukh
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