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Avinash Balakrishnan
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2020 – today
- 2024
- [i7]Leonardo Matone, Ben Abramowitz, Nicholas Mattei, Avinash Balakrishnan:
DeepVoting: Learning Voting Rules with Tailored Embeddings. CoRR abs/2408.13630 (2024) - 2020
- [c6]Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. AAAI 2020: 8074-8081 - [c5]Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar:
Learning Global Transparent Models consistent with Local Contrastive Explanations. NeurIPS 2020 - [i6]Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar:
Learning Global Transparent Models from Local Contrastive Explanations. CoRR abs/2002.08247 (2020)
2010 – 2019
- 2019
- [j1]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Using multi-armed bandits to learn ethical priorities for online AI systems. IBM J. Res. Dev. 63(4/5): 1:1-1:13 (2019) - [c4]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. AAAI 2019: 3-11 - [i5]Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri:
Model Agnostic Contrastive Explanations for Structured Data. CoRR abs/1906.00117 (2019) - [i4]Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. CoRR abs/1911.02060 (2019) - 2018
- [c3]Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock:
Word Mover's Embedding: From Word2Vec to Document Embedding. EMNLP 2018: 4524-4534 - [c2]Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan:
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations. ICLR (Poster) 2018 - [c1]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation. IJCAI 2018: 5802-5804 - [i3]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. CoRR abs/1809.05720 (2018) - [i2]Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock:
Word Mover's Embedding: From Word2Vec to Document Embedding. CoRR abs/1811.01713 (2018) - 2017
- [i1]Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan:
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations. CoRR abs/1711.00848 (2017)
Coauthor Index
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last updated on 2024-09-30 01:02 CEST by the dblp team
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