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Conference and Workshop Papers
- 2022
[c4]Guiliang Liu, Ashutosh Adhikari, Amir-massoud Farahmand, Pascal Poupart:
Learning Object-Oriented Dynamics for Planning from Text. ICLR 2022- 2020
- [c3]Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton:
Learning Dynamic Belief Graphs to Generalize on Text-Based Games. NeurIPS 2020 - [c2]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton, Jimmy Lin:
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT. RepL4NLP@ACL 2020: 72-77 - 2019
- [c1]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, Jimmy Lin:
Rethinking Complex Neural Network Architectures for Document Classification. NAACL-HLT (1) 2019: 4046-4051
Informal and Other Publications
- 2020
- [i3]Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton:
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. CoRR abs/2002.09127 (2020) - 2019
- [i2]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, Jimmy Lin:
DocBERT: BERT for Document Classification. CoRR abs/1904.08398 (2019) - 2018
- [i1]Raphael Tang, Ashutosh Adhikari, Jimmy Lin:
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks. CoRR abs/1811.03060 (2018)
Coauthor Index
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