Publications for author S. A. Sontakke (excluding plenary and invited talks)

S. A. Sontakke, J. Zhang, S. Arnold, K. Pertsch, E. Biyik, D. Sadigh, C. Finn, L. Itti, RoboCLIP: One Demonstration is Enough to Learn Robot Policies, In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'23), Vol. 37, Dec 2023. [2023 acceptance rate: 26%]

Y. Ge, Y. Li, D. Wu, A. Xu, A. M. Jones, A. S. Rios, I. Fostiropoulos, P. H. Huang, Z. W. Murdock, G. Sahin, S. Ni, K. Lekkala, S. A. Sontakke, L. Itti, Lightweight Learner for Shared Knowledge Lifelong Learning, Transactions on Machine Learning Research, pp. 1--26, 2023.

S. A. Sontakke, B. Ramanan, L. Itti, T. Woo, Model2Detector: Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps, arXiv preprint arXiv:2202.11226, 2022. [ArXiv Preprint]

S. A. Sontakke, S. Iota, Z. Hu, A. Mehrjou, L. Itti, B. Scholkopf, GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL, In: The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 1-8, Mar 2022. [2022 acceptance rate: 29%]

S. A. Sontakke, S. Iota, Z. Hu, A. Mehrjou, L. Itti, B. Scholkopf, GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL, arXiv preprint arXiv:2110.15489, 2021. [ArXiv Preprint] (Cited by 3)

S. A. Sontakke, A. Mehrjou, L. Itti, B. Scholkopf, Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning, In: Proceedings of the 38th International Conference on Machine Learning, (Meila, Marina, Zhang, Tong Ed.), Vol. 139, pp. 9848--9858, PMLR, 18--24 Jul 2021. [2021 acceptance rate: 21.5%]

S. A. Sontakke, S. Roychowdhury, M. Sarkar, N. Puri, B. Krishnamurthy, L. Itti, Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms, arXiv preprint arXiv:2109.03813, 2021. [ArXiv Preprint]

S. A. Sontakke, A. Mehrjou, L. Itti, B. Scholkopf, Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning, arXiv preprint arXiv:2010.03110, 2020. [ArXiv Preprint] (Cited by 93)

S. Roychowdhury, S. A. Sontakke, N. Puri, M. Sarkar, M. Aggarwal, P. Badjatiya, B. Krishnamurthy, L. Itti, Unsupervised Hierarchical Concept Learning, arXiv preprint arXiv:2010.02556, 2020. [ArXiv Preprint]