Anirudh Goyal - Concepedia

Author

Anirudh Goyal

Also Known As

Anirudh Goyal, Bengio, Yoshua, Beth Salvagio Campbell, Daniela Gonzalez, Goyal, Anirudh, Kim Vu, Lamb, Alex, Ozair, Sherjil, Rey, Melanie, Weller, Adrian

166

Publications

4.2K

Citations

H-Index

Concepts

All Affiliations

Université de Montréal University of Toronto Google (United States)Polytechnique Montréal Max Planck Institute for Intelligent Systems

About

Anirudh Goyal is an author at Université de Montréal specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	22	37	3.7K
2	Medicine	3	3	134
3	Business	1	1	23
4	Education	1	1	17
5	Language Studies	1	1	224

Anirudh Goyal

Publications

3.7K

Citations

H-Index

Page 1

	Year	Citations
Toward Causal Representation Learning Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Proceedings of the IEEE Artificial IntelligenceEngineeringMachine LearningCausal Relation ExtractionCausal Inference	2021	921
Gemini: A Family of Highly Capable Multimodal Models Gemini Robotics Team, Rohan Anil, Sebastian Borgeaud, arXiv (Cornell University) Artificial IntelligenceNatural Language ProcessingNew FamilyLarge Ai ModelImage Analysis	2023	784
Professor Forcing: A New Algorithm for Training Recurrent Networks Alex Lamb, Anirudh Goyal, Ying Zhang, arXiv (Cornell University) Natural Language ProcessingLarge Ai ModelLlm Fine-tuningSequence ModellingEngineering	2016	330
Inductive biases for deep learning of higher-level cognition Anirudh Goyal, Yoshua Bengio Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences Artificial IntelligenceEngineeringMachine LearningNeural Networks (Machine Learning)Ai Foundation	2022	254
An Actor-Critic Algorithm for Sequence Prediction Dzmitry Bahdanau, Philémon Brakel, Kelvin Xu, arXiv (Cornell University) Artificial IntelligenceStructured PredictionEngineeringMachine LearningSequential Learning	2016	224
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations David Krueger, Tegan Maharaj, János Kramár, PolyPublie (École Polytechnique de Montréal) Natural Language ProcessingZoneout UsesSequence ModellingGradient InformationMachine Learning	2016	173
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio, Tristan Deleu, Nasim Rahaman, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningMeta-learningCognition	2019	122
Recurrent Independent Mechanisms Anirudh Goyal, Alex Lamb, Jordan Hoffmann, arXiv (Cornell University) Structured PredictionEngineeringMachine LearningBrain MechanismSequential Learning	2019	80
Towards Causal Representation Learning Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningCausal Relation ExtractionInductive Inference	2021	76
InfoBot: Transfer and Exploration via the Information Bottleneck Anirudh Goyal, Riashat Islam, Daniel Strouse, arXiv (Cornell University) Artificial IntelligenceInformation BottleneckCognitive ScienceInteractive Machine LearningInformation Retrieval	2019	46

Page 1