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Items where Author is "Anbil Parthipan, Sarath Chandar"

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Number of items: 34.

2023

Zhao, X., Pan, Y., Xiao, C., Anbil Parthipan, S. C., & Rajendran, J. (2023, July). Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning [Paper]. 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA. External link

Zayed, A., Parthasarathi, P., Mordido, G., Palangi, H., Shabanian, S., & Anbil Parthipan, S. C. (2023, February). Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness [Paper]. 37th AAAI Conference on Artificial Intelligence (AAAI 2023) and 35th Conference on Innovative Applications of Artificial Intelligence (IAAI 2023) and 13th Symposium on Educational Advances in Artificial Intelligence (EAAI 2023), Washington, DC, USA. External link

Vaibhav Mehta, S., Patil, D., Anbil Parthipan, S. C., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training in Lifelong Learning. Journal of Machine Learning Research, 24, 50-50. External link

Madsen, A., Reddy, S., & Anbil Parthipan, S. C. (2023). Post-hoc Interpretability for Neural NLP: A Survey. ACM Computing Surveys, 55(8), 1-42. External link

Thakkar, M., Bolukbasi, T., Ganapathy, S., Vashishth, S., Anbil Parthipan, S. C., & Talukdar, P. (2023, December). Self-Influence Guided Data Reweighting for Language Model Pre-training [Paper]. Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore. External link

2022

Lafleur, D., Anbil Parthipan, S. C., & Pesant, G. (2022, July). Combining reinforcement learning and constraint programming for sequence-generation tasks with hard constraints [Paper]. 28th International Conference on Principles and Practice of Constraint Programming (CP 2022), Haifa, Israel. External link

Clouatre, L., Parthasarathi, P., Zouaq, A., & Anbil Parthipan, S. C. (2022, May). Local Structure Matters Most: Perturbation Study in NLU [Paper]. 60th Annual Meeting of the Association-for-Computational-Linguistics (ACL 2022), Dublin, IRELAND. External link

McRae, P.-A., Parthasarathi, P., Assran, M., & Anbil Parthipan, S. C. (2022, April). Memory augmented optimizers for deep learning [Poster]. 10th International Conference on Learning Representations (ICLR 2022). External link

Faramarzi, M., Amini, M., Badrinaaraayanan, A., Verma, V., & Anbil Parthipan, S. C. (2022, February). PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks [Paper]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022). External link

Wan, Y., Rahimi-Kalahroudi, A., Rajendran, J., Momennejad, I., Anbil Parthipan, S. C., & van Seijen, H. (2022, July). Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods [Paper]. 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD. External link

2021

Clouatre, L., Trempe, P., Zouaq, A., & Anbil Parthipan, S. C. (2021, August). MLMLM: link prediction with mean likelihood masked language model [Paper]. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand. Available

Parthasarathi, P., Abdelsalam, M., Anbil Parthipan, S. C., & Pineau, J. (2021, July). A brief study on the effects of training generative dialogue models with a semantic loss [Paper]. 22nd Annual Meeting of the Special-Interest-Group-on-Discourse-and-Dialogue (SIGDIAL 2021), Singapore, Singapore. External link

Nekoei, H., Badrinaaraayanan, A., Courville, A., & Anbil Parthipan, S. C. (2021, July). Continuous Coordination As a Realistic Scenario for Lifelong Learning [Paper]. International Conference on Machine Learning (ICML 2021). External link

Abdelsalam, M., Faramarzi, M., Sodhani, S., & Anbil Parthipan, S. C. (2021, June). IIRC: Incremental Implicitly-Refined Classification [Paper]. Conference on Computer Vision and Pattern Recognition (CVPR) (31 pages). External link

Gottipati, S. K., Pathak, Y., Sattarov, B., Sahir, Nuttall, R., Amini, M., Taylor, M. E., & Anbil Parthipan, S. C. (2021, February). Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery [Paper]. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence. External link

2020

Laleh, T., Faramarzi, M., Rish, I., & Anbil Parthipan, S. C. (2020, July). Chaotic continual learning [Paper]. 37th International Conference on Machine Learning (PMLR 2020), Vienna, Austria (6 pages). External link

Bard, N., Foerster, J. N., Anbil Parthipan, S. C., Burch, N., Lanctot, M., Song, H. F., Parisotto, E., Dumoulin, V., Moitra, S., Hughes, E., Dunning, I., Mourad, S., Larochelle, H., Bellemare, M. G., & Bowling, M. (2020). The Hanabi challenge: A new frontier for AI research. Artificial Intelligence, 280, 19 pages. External link

Gottipati, S. K., Sattarov, B., Niu, S., Pathak, Y., Wei, H., Liu, S., Thomas, K. M. J., Blackburn, S., Coley, C. W., Tang, J., Anbil Parthipan, S. C., & Bengio, Y. (2020, July). Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. [Paper]. 37th International Conference on Machine Learning (ICML 2020), Vienna, Austria. External link

Van Seijen, H., Nekoei, H., Racah, E., & Anbil Parthipan, S. C. (2020, December). The LoCA regret: A consistent metric to evaluate model-based behavior in reinforcement learning [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020). Unavailable

Gottipati, S. K., Pathak, Y., Nuttall, R., Sahir, Chunduru, R., Touati, A., Subramanian, S. G., Taylor, M. E., & Anbil Parthipan, S. C. (2020, December). Maximum reward formulation in reinforcement learning [Paper]. 2020 NeurIPS Deep RL Workshop (15 pages). External link

2019

Reddy, R., Anbil Parthipan, S. C., & Ravindran, B. (2019, May). Edge Replacement Grammars : A Formal Language Approach for Generating Graphs [Paper]. SIAM International Conference on Data Mining (SDM 2019), Calgary, Alberta, Canada. External link

Anbil Parthipan, S. C. (2019). On challenges in training recurrent neural networks [Ph.D. Thesis, Université de Montréal]. External link

Prato, G., Duchesneau, M., Anbil Parthipan, S. C., & Tapp, A. (2019, July). Towards Lossless Encoding of Sentences [Paper]. 57th annual meeting of the Association for Computational Linguistics (ACL), Florence, Italy. External link

Anbil Parthipan, S. C., Sankar, C., Vorontsov, E., Kahou, S. E., & Bengio, Y. (2019). Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. AAAI Conference on Artificial Intelligence, 33(1), 3280-3287. External link

2018

Saha, A., Pahuja, V., Khapra, M. M., Sankaranarayanan, K., & Anbil Parthipan, S. C. (2018, February). Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph [Paper]. 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana. External link

Gulcehre, C., Anbil Parthipan, S. C., Cho, K., & Bengio, Y. (2018). Dynamic neural turing machine with continuous and discrete addressing schemes. Neural Computation, 30(4), 857-884. External link

2017

De Vries, H., Strub, F., Anbil Parthipan, S. C., Pietquin, O., Larochelle, H., & Courville, A. (2017, July). GuessWhat?! Visual Object Discovery through Multi-modal Dialogue [Paper]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA. External link

2016

Rajendran, J., Khapra, M. M., Anbil Parthipan, S. C., & Ravindran, B. (2016, June). Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning [Paper]. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, California. External link

Saha, A., Khapra, M. M., Anbil Parthipan, S. C., Rajendran, J., & Cho, K. (2016, December). A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation [Paper]. 26th International Conference on Computational Linguistics (COLING 2016), Osaka, Japan. External link

Anbil Parthipan, S. C., Khapra, M. M., Larochelle, H., & Ravindran, B. (2016). Correlational Neural Networks. Neural Computation, 28(2), 257-285. External link

Serban, I. V., García-Durán, A., Gulcehre, C., Ahn, S., Anbil Parthipan, S. C., Courville, A., & Bengio, Y. (2016, August). Generating Factoid Questions with Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus [Paper]. 54th annual meeting of the Association for Computational Linguistics, Berlin, Germany. External link

2015

Anbil Parthipan, S. C. (2015). Correlational Neural Networks for Common Representation Learning [Master's Thesis, Indian Institute of Technology Madras]. Unavailable

Rongali, S., Anbil Parthipan, S. C., & Ravindran, B. (2015, March). From multiple views to single view: a neural network approach [Paper]. 2nd ACM IKDD Conference on Data Sciences, Bangalore, India. External link

2014

Anbil Parthipan, S. C., Lauly, S., Larochelle, H., Khapra, M. M., Ravindran, B., Raykar, V., & Saha, A. (2014, December). An autoencoder approach to learning bilingual word representations [Paper]. 27th International Conference on Neural Information Processing Systems, Montréal, Qc, Canada. External link

List generated on: Tue Apr 23 08:03:25 2024 EDT