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Number of items: 25.

Article

Balasubramanian, Vineeth N (2018) From Recognition to Generation Using Deep Learning: A Case Study with Video Generation. Communications in Computer and Information Science, 844. pp. 25-36. ISSN 1865-0929

Agarwal, Nakul and Balasubramanian, Vineeth N and C V, Jawahar (2018) Improving multiclass classification by deep networks using DAGSVM and Triplet Loss. Pattern Recognition Letters, 112. pp. 184-190. ISSN 0167-8655

Adepu, R S and Balasubramanian, Vineeth N (2017) Are Saddles Good Enough for Deep Learning? arXiv. pp. 1-16. (Submitted)

Marwah, T and Mittal, G and Balasubramanian, Vineeth N (2017) Attentive Semantic Video Generation using Captions. arXiv. pp. 1-9.

Mittal, Gaurav and Marwah, Tanya and Balasubramanian, Vineeth N (2017) Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures. arXiv. pp. 1-9.

P, Supriya and Balasubramanian, Vineeth N (2016) Community-based Outlier Detection for Edge-attributed Graphs. arXiv. pp. 1-9.

Gupta, A and Jaiswal, R and Adhikari, S and Balasubramanian, Vineeth N (2016) DAISEE: Dataset for Affective States in E-Learning Environments. arXiv. pp. 1-22.

Sau, B B and Balasubramanian, Vineeth N (2016) Deep Model Compression: Distilling Knowledge from Noisy Teachers. arXiv, v2. pp. 1-9.

Mittal, G and Marwah, T and Balasubramanian, Vineeth N (2016) Sync-DRAW: Automatic GIF Generation using Deep Recurrent Attentive Architectures. arXiv. pp. 1-9.

Chakraborty, S and Balasubramanian, Vineeth N and Sun, Q and Panchanathan, S and Ye, J (2015) Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (10). pp. 1945-1958. ISSN 0162-8828

Chakraborty, S and Balasubramanian, Vineeth N and Panchanathan, S (2015) Adaptive Batch Mode Active Learning. IEEE Transactions on Neural Networks and Learning Systems, 26 (8). pp. 1747-1760. ISSN 2162-237X

Balasubramanian, Vineeth N and Chakraborty, S and Panchanathan, S (2015) Conformal predictions for information fusion - A comparative study of p-value combination methods. Annals of Mathematics and Artificial Intelligence, 74 (1). pp. 45-64. ISSN 1012-2443

Book Section

Akilesh, B and Marwah, Tanya and Balasubramanian, Vineeth N and Kumar, Rajamani (2017) On the Relevance of Very Deep Networks for Diabetic Retinopathy Diagnostics. In: Applications of Cognitive Computing Systems and IBM Watson. Springer, Singapore, pp. 47-54. ISBN 9789811064180

Jaiswal, R and Balasubramanian, Vineeth N (2015) Model Selection Using Efficiency of Conformal Predictors. In: Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Lecture Notes in Computer Science (3). Springer International Publishing, Switzerland, pp. 291-300. ISBN 978-3-319-17090-9

Conference or Workshop Item

Sankar, Adepu Ravi and Balasubramanian, Vineeth N (2018) Are saddles good enough for neural networks. In: Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 11-13, January 2018, Goa ; India.

Pandhre, Supriya and Mittal, Himangi and Gupta, Manish and Balasubramanian, Vineeth N (2018) STwalk: learning trajectory representations in temporal graphs. In: Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 11-13, January 2018, Goa ; India.

Kamath, A and Biswas, A and Balasubramanian, Vineeth N (2016) A Crowdsourced Approach to Student Engagement Recognition in e-Learning Environments. In: IEEE Winter Conference on Applications of Computer Vision (WACV), MAR 07-10, 2016, Lake Placid, NY.

Manocha, S and Adepu, R S and Balasubramanian, Vineeth N (2016) Dissimilarity Based Contrastive Divergence for Anomaly Detection. In: 2nd Indian Workshop on Machine Learning, IIT Kanpur. (Submitted)

Singh, D and Balasubramanian, Vineeth N and C V, Jawahar (2016) Fine-tuning human pose estimations in videos. In: IEEE Winter Conference on Applications of Computer Vision (WACV), 7-10 March 2016, Lake Placid, NY.

Pal, A and Khonglah, B K and Mandal, S and Choudhury, H and Prasanna, S R M and Rufiner, H L and Balasubramanian, Vineeth N (2016) Online Bengali Handwritten Numerals Recognition Using Deep Autoencoders. In: 22nd National Conference on Communications (NCC), MAR 04-06, 2016, Guwahati, INDIA.

Chakraborty, S and Balasubramanian, Vineeth N and Adepu, R S and Panchanathan, S and Ye, J (2015) BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. In: 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

M, Sai Rajeswar and A, Ravi Sankar and Balasubramanian, Vineeth N and C D, Sudheer (2015) Scaling Up the Training of Deep CNNs for Human Action Recognition. In: IEEE International Parallel and Distributed Processing Symposium Workshop (IPDPSW), 1172 - 1177, Hyderabad.

Thesis

Mehak, Mehak and Balasubramanian, Vineeth N (2018) Knowledge Distillation from Multiple Teachers using Visual Explanations. Masters thesis, Indian Institute of Technology Hyderabad.

Singh, Krishna Kant and Balasubramanian, Vineeth N (2018) Submodular Importance Sampling for Neural Network Training. Masters thesis, Indian Institute of Technology Hyderabad.

Pandhre, Supriya and Balasubramanian, Vineeth N (2018) Understanding Graph Data Through Deep Learning Lens. Masters thesis, Indian Institute of Technology Hyderabad.

This list was generated on Mon Oct 15 21:47:50 2018 IST.