Madsen, A., Reddy, S., & Anbil Parthipan, S. C. (2023). Post-hoc Interpretability for Neural NLP: A Survey. ACM Computing Surveys, 55(8), 155 (42 pages).
Répertoire des expertises
Anbil Parthipan, Sarath Chandar
Répertoire des expertises
Anbil Parthipan, Sarath Chandar
Répertoire des expertises
Publications par type
Article de revue (5)
Communication de conférence (23)
Livre
Chapitre de livre
Brevet
Rapport
Thèse (2)
Ensemble de données
Ressource pédagogique
Image
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Autre
Sarath Chandar Anbil Parthipan (30)
- Articles de revue (5)
- 2023
Article de revue
- 2020
Article de revue 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.
- 2019
Article de revue 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.
- 2018
Article de revue 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.
- 2016
Article de revue Anbil Parthipan, S. C., Khapra, M. M., Larochelle, H., & Ravindran, B. (2016). Correlational Neural Networks. Neural Computation, 28(2), 257-285.
- 2023
- Communications de conférence (23)
- 2022
Communication de conférence Lafleur, D., Anbil Parthipan, S. C., & Pesant, G. (juillet 2022). Combining reinforcement learning and constraint programming for sequence-generation tasks with hard constraints [Communication écrite]. 28th International Conference on Principles and Practice of Constraint Programming (CP 2022), Haifa, Israel.Communication de conférence Clouatre, L., Parthasarathi, P., Zouaq, A., & Anbil Parthipan, S. C. (mai 2022). Local Structure Matters Most: Perturbation Study in NLU [Communication écrite]. 60th Annual Meeting of the Association-for-Computational-Linguistics (ACL 2022), Dublin, IRELAND.Communication de conférence McRae, P.-A., Parthasarathi, P., Assran, M., & Anbil Parthipan, S. C. (avril 2022). Memory augmented optimizers for deep learning [Affiche]. 10th International Conference on Learning Representations (ICLR 2022).Communication de conférence Faramarzi, M., Amini, M., Badrinaaraayanan, A., Verma, V., & Anbil Parthipan, S. C. (février 2022). PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks [Communication écrite]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022).Communication de conférence Wan, Y., Rahimi-Kalahroudi, A., Rajendran, J., Momennejad, I., Anbil Parthipan, S. C., & van Seijen, H. (juillet 2022). Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods [Communication écrite]. 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD.
- 2021
Communication de conférence Parthasarathi, P., Abdelsalam, M., Anbil Parthipan, S. C., & Pineau, J. (juillet 2021). A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss [Communication écrite]. 22nd Annual Meeting of the Special-Interest-Group-on-Discourse-and-Dialogue (SIGDIAL 2021), Singapore, Singapore.Communication de conférence Nekoei, H., Badrinaaraayanan, A., Courville, A., & Anbil Parthipan, S. C. (juillet 2021). Continuous Coordination As a Realistic Scenario for Lifelong Learning [Communication écrite]. International Conference on Machine Learning (ICML 2021).Communication de conférence Abdelsalam, M., Faramarzi, M., Sodhani, S., & Anbil Parthipan, S. C. (juin 2021). IIRC: Incremental Implicitly-Refined Classification [Communication écrite]. Conference on Computer Vision and Pattern Recognition (CVPR) (31 pages).Communication de conférence Clouatre, L., Trempe, P., Zouaq, A., & Anbil Parthipan, S. C. (août 2021). MLMLM: link prediction with mean likelihood masked language model [Communication écrite]. 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.Communication de conférence Gottipati, S. K., Pathak, Y., Sattarov, B., Sahir, Nuttall, R., Amini, M., Taylor, M. E., & Anbil Parthipan, S. C. (février 2021). Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery [Communication écrite]. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence.
- 2020
Communication de conférence Laleh, T., Faramarzi, M., Rish, I., & Anbil Parthipan, S. C. (juillet 2020). Chaotic continual learning [Communication écrite]. 37th International Conference on Machine Learning (PMLR 2020), Vienna, Austria (6 pages).Communication de conférence 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. (juillet 2020). Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. [Communication écrite]. 37th International Conference on Machine Learning (ICML 2020), Vienna, Austria.Communication de conférence Gottipati, S. K., Pathak, Y., Nuttall, R., Sahir, Chunduru, R., Touati, A., Subramanian, S. G., Taylor, M. E., & Anbil Parthipan, S. C. (décembre 2020). Maximum reward formulation in reinforcement learning [Communication écrite]. 2020 NeurIPS Deep RL Workshop (15 pages).Communication de conférence Van Seijen, H., Nekoei, H., Racah, E., & Anbil Parthipan, S. C. (décembre 2020). The LoCA regret: A consistent metric to evaluate model-based behavior in reinforcement learning [Communication écrite]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020).
- 2019
Communication de conférence Reddy, R., Anbil Parthipan, S. C., & Ravindran, B. (mai 2019). Edge Replacement Grammars : A Formal Language Approach for Generating Graphs [Communication écrite]. SIAM International Conference on Data Mining (SDM 2019), Calgary, Alberta, Canada.Communication de conférence Prato, G., Duchesneau, M., Anbil Parthipan, S. C., & Tapp, A. (juillet 2019). Towards Lossless Encoding of Sentences [Communication écrite]. 57th annual meeting of the Association for Computational Linguistics (ACL), Florence, Italy.
- 2018
Communication de conférence Saha, A., Pahuja, V., Khapra, M. M., Sankaranarayanan, K., & Anbil Parthipan, S. C. (février 2018). Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph [Communication écrite]. 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana.
- 2017
Communication de conférence De Vries, H., Strub, F., Anbil Parthipan, S. C., Pietquin, O., Larochelle, H., & Courville, A. (juillet 2017). GuessWhat?! Visual Object Discovery through Multi-modal Dialogue [Communication écrite]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA.
- 2016
Communication de conférence Saha, A., Khapra, M. M., Anbil Parthipan, S. C., Rajendran, J., & Cho, K. (décembre 2016). A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation [Communication écrite]. 26th International Conference on Computational Linguistics (COLING 2016), Osaka, Japan.Communication de conférence Rajendran, J., Khapra, M. M., Anbil Parthipan, S. C., & Ravindran, B. (juin 2016). Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning [Communication écrite]. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, California.Communication de conférence Serban, I. V., García-Durán, A., Gulcehre, C., Ahn, S., Anbil Parthipan, S. C., Courville, A., & Bengio, Y. (août 2016). Generating Factoid Questions with Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus [Communication écrite]. 54th annual meeting of the Association for Computational Linguistics, Berlin, Germany.
- 2015
Communication de conférence Rongali, S., Anbil Parthipan, S. C., & Ravindran, B. (mars 2015). From multiple views to single view: a neural network approach [Communication écrite]. 2nd ACM IKDD Conference on Data Sciences, Bangalore, India.
- 2014
Communication de conférence Anbil Parthipan, S. C., Lauly, S., Larochelle, H., Khapra, M. M., Ravindran, B., Raykar, V., & Saha, A. (décembre 2014). An autoencoder approach to learning bilingual word representations [Communication écrite]. 27th International Conference on Neural Information Processing Systems, Montréal, Qc, Canada.
- 2022
- Thèses (2)
- 2019
Thèse Anbil Parthipan, S. C. (2019). On challenges in training recurrent neural networks [Thèse de doctorat, Université de Montréal].
- 2015
Thèse Anbil Parthipan, S. C. (2015). Correlational Neural Networks for Common Representation Learning [Mémoire de maîtrise, Indian Institute of Technology Madras].
- 2019
