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ORCIDArjun Ashok
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2020 – today
- 2024
[c5]Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin:
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. ICLR 2024- 2023
- [c4]Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok, Rosanne Liu:
Extremely Simple Activation Shaping for Out-of-Distribution Detection. ICLR 2023 - [i6]Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin:
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. CoRR abs/2310.01327 (2023) - [i5]Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Bilos, Hena Ghonia, Nadhir Vincent Hassen, Anderson Schneider, Sahil Garg, Alexandre Drouin, Nicolas Chapados, Yuriy Nevmyvaka, Irina Rish:
Lag-Llama: Towards Foundation Models for Time Series Forecasting. CoRR abs/2310.08278 (2023) - 2022
- [c3]Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian:
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). AAAI 2022: 12905-12906 - [c2]Arjun Ashok
, K. J. Joseph, Vineeth N. Balasubramanian:
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer. ECCV (27) 2022: 105-122 - [c1]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen:
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. EMNLP 2022: 5085-5109 - [i4]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i3]Arjun Ashok, Chaitanya Devaguptapu, Vineeth Balasubramanian:
Learning Modular Structures That Generalize Out-of-Distribution. CoRR abs/2208.03753 (2022) - [i2]Arjun Ashok, K. J. Joseph, Vineeth Balasubramanian:
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer. CoRR abs/2208.03767 (2022) - [i1]Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok, Rosanne Liu:
Extremely Simple Activation Shaping for Out-of-Distribution Detection. CoRR abs/2209.09858 (2022)
Coauthor Index
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