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Kanika Madan
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2020 – today
- 2024
- [c8]Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio:
Pre-Training and Fine-Tuning Generative Flow Networks. ICLR 2024 - 2023
- [c7]Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin:
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability. ICML 2023: 23467-23483 - [c6]Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio:
Reusable Slotwise Mechanisms. NeurIPS 2023 - [i7]Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio:
Reusable Slotwise Mechanisms. CoRR abs/2302.10503 (2023) - [i6]Jarrid Rector-Brooks, Kanika Madan, Moksh Jain, Maksym Korablyov, Cheng-Hao Liu, Sarath Chandar, Nikolay Malkin, Yoshua Bengio:
Thompson sampling for improved exploration in GFlowNets. CoRR abs/2306.17693 (2023) - [i5]Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio:
Pre-Training and Fine-Tuning Generative Flow Networks. CoRR abs/2310.03419 (2023) - [i4]Trang Nguyen, Alexander Tong, Kanika Madan, Yoshua Bengio, Dianbo Liu:
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems. CoRR abs/2310.03579 (2023) - 2022
- [j1]Dezhao Song, Andrew Vold, Kanika Madan, Frank Schilder:
Multi-label legal document classification: A deep learning-based approach with label-attention and domain-specific pre-training. Inf. Syst. 106: 101718 (2022) - [i3]Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin:
Learning GFlowNets from partial episodes for improved convergence and stability. CoRR abs/2209.12782 (2022) - 2021
- [c5]Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf, Yoshua Bengio:
Fast And Slow Learning Of Recurrent Independent Mechanisms. ICLR 2021 - [c4]Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent:
Accounting for Variance in Machine Learning Benchmarks. MLSys 2021 - [i2]Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent:
Accounting for Variance in Machine Learning Benchmarks. CoRR abs/2103.03098 (2021) - [i1]Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf, Yoshua Bengio:
Fast and Slow Learning of Recurrent Independent Mechanisms. CoRR abs/2105.08710 (2021) - 2020
- [c3]John Hudzina, Kanika Madan, Dhivya Chinnappa, Jinane Harmouche, Hiroko Bretz, Andrew Vold, Frank Schilder:
Information Extraction/Entailment of Common Law and Civil Code. JSAI-isAI Workshops 2020: 254-268 - [c2]Merine Thomas, Thomas Vacek, Xin Shuai, Wenhui Liao, George Sanchez, Paras Sethia, Don Teo, Kanika Madan, Tonya Custis:
Quick Check: A Legal Research Recommendation System. NLLP@KDD 2020: 57-60
2010 – 2019
- 2018
- [c1]Elnaz Davoodi, Kanika Madan, Jia Gu:
CLSciSumm Shared Task: On the Contribution of Similarity measure and Natural Language Processing Features for Citing Problem. BIRNDL@SIGIR 2018: 96-101
Coauthor Index
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last updated on 2024-07-30 20:45 CEST by the dblp team
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