Kanika Madan

According to our database, Kanika Madan authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pre-Training and Fine-Tuning Generative Flow Networks.

Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems.

Trang Nguyen, Alexander Tong, Kanika Madan, Yoshua Bengio, Dianbo Liu

CoRR, 2023

Thompson sampling for improved exploration in GFlowNets.

Jarrid Rector-Brooks, Kanika Madan, Moksh Jain, Maksym Korablyov, Cheng-Hao Liu, Sarath Chandar, Nikolay Malkin, Yoshua Bengio

CoRR, 2023

Reusable Slotwise Mechanisms.

Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning GFlowNets From Partial Episodes For Improved Convergence And Stability.

Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin

Proceedings of the International Conference on Machine Learning, 2023

2022

Multi-label legal document classification: A deep learning-based approach with label-attention and domain-specific pre-training.

Dezhao Song, Andrew Vold, Kanika Madan, Frank Schilder

Inf. Syst., 2022

2021

Accounting for Variance in Machine Learning Benchmarks.

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

CoRR, 2021

Accounting for Variance in Machine Learning Benchmarks.

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

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Fast And Slow Learning Of Recurrent Independent Mechanisms.

Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf, Yoshua Bengio

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Quick Check: A Legal Research Recommendation System.

Merine Thomas, Thomas Vacek, Xin Shuai, Wenhui Liao, George Sanchez, Paras Sethia, Don Teo, Kanika Madan, Tonya Custis

Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), 2020

Information Extraction/Entailment of Common Law and Civil Code.

John Hudzina, Kanika Madan, Dhivya Chinnappa, Jinane Harmouche, Hiroko Bretz, Andrew Vold, Frank Schilder

Proceedings of the New Frontiers in Artificial Intelligence, 2020

2018

CLSciSumm Shared Task: On the Contribution of Similarity measure and Natural Language Processing Features for Citing Problem.

Elnaz Davoodi, Kanika Madan, Jia Gu

Proceedings of the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018) co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018