Natasha Jaques

According to our database, Natasha Jaques authored at least 45 papers between 2013 and 2024.

Collaborative distances:

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

2024

Infer Human's Intentions Before Following Natural Language Instructions.

Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques

CoRR, 2024

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning.

Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, Natasha Jaques

CoRR, 2024

Achieving Human Level Competitive Robot Table Tennis.

David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi

CoRR, 2024

Adaptive Accompaniment with ReaLchords.

Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron C. Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Moral Foundations of Large Language Models.

Marwa Abdulhai, Gregory Serapio-García, Clément Crepy, Daria Valter, John Canny, Natasha Jaques

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Tackling Climate Change with Machine Learning.

David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio

ACM Comput. Surv., 2023

2022

Impossibility Theorems for Feature Attribution.

Blair L. Bilodeau, Natasha Jaques, Pang Wei Koh, Been Kim

CoRR, 2022

Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration.

Srivatsan Krishnan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang, Izzeddin Gur, Vijay Janapa Reddi, Aleksandra Faust

CoRR, 2022

Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience.

Marwa Abdulhai, Natasha Jaques, Sergey Levine

CoRR, 2022

Less is More: Generating Grounded Navigation Instructions from Landmarks.

Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Explore and Control with Adversarial Surprise.

Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine

CoRR, 2021

Joint Attention for Multi-Agent Coordination and Social Learning.

Dennis Lee, Natasha Jaques, J. Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust

CoRR, 2021

Adversarial Environment Generation for Learning to Navigate the Web.

Izzeddin Gur, Natasha Jaques, Kevin Malta, Manoj Tiwari, Honglak Lee, Aleksandra Faust

CoRR, 2021

Environment Generation for Zero-Shot Compositional Reinforcement Learning.

Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Emergent Social Learning via Multi-agent Reinforcement Learning.

Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques

Proceedings of the 38th International Conference on Machine Learning, 2021

PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning.

Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health.

Sara Taylor, Natasha Jaques, Ehimwenma Nosakhare, Akane Sano, Rosalind W. Picard

IEEE Trans. Affect. Comput., 2020

Multi-agent Social Reinforcement Learning Improves Generalization.

Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques

CoRR, 2020

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design.

Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Human-centric dialog training via offline reinforcement learning.

Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Hierarchical Reinforcement Learning for Open-Domain Dialog.

Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Reinforcement learning from Affective Cues in Dialogue.

Natasha Jaques

Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

2019

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog.

Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard

CoRR, 2019

Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems.

Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Àgata Lapedriza, Rosalind W. Picard

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning.

Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas

Proceedings of the 36th International Conference on Machine Learning, 2019

Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation.

Noah Jones, Natasha Jaques, Pat Pataranutaporn, Asma Ghandeharioun, Rosalind W. Picard

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

2018

Intrinsic Social Motivation via Causal Influence in Multi-Agent RL.

Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas

CoRR, 2018

Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback.

Natasha Jaques, Jennifer McCleary, Jesse H. Engel, David Ha, Fred Bertsch, Douglas Eck, Rosalind W. Picard

Proceedings of the Workshop on Artificial Intelligence in Affective Computing, 2018

Learning via social awareness: improving sketch representations with facial feedback.

Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck

Proceedings of the 6th International Conference on Learning Representations, 2018

Vomit Comet Physiology: Autonomic Changes in Novice Flyers.

Kristina T. Johnson, Sara Taylor, Szymon Fedor, Natasha Jaques, Weixuan Chen, Rosalind W. Picard

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation.

Natasha Jaques, Ognjen (Oggi) Rudovic, Sara Taylor, Akane Sano, Rosalind W. Picard

Proceedings of the 1st IJCAI Workshop on Artificial Intelligence in Affective Computing (AffComp 2017), 2017

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control.

Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck

Proceedings of the 34th International Conference on Machine Learning, 2017

Tuning Recurrent Neural Networks with Reinforcement Learning.

Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck

Proceedings of the 5th International Conference on Learning Representations, 2017

Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction.

Natasha Jaques, Sara Taylor, Akane Sano, Rosalind W. Picard

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016

Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language.

Natasha Jaques, Daniel McDuff, Yoo Lim Kim, Rosalind W. Picard

Proceedings of the Intelligent Virtual Agents - 16th International Conference, 2016

Personality, Attitudes, and Bonding in Conversations.

Natasha Jaques, Yoo Lim Kim, Rosalind W. Picard

Proceedings of the Intelligent Virtual Agents - 16th International Conference, 2016

BITxBIT: Encouraging Behavior Change with N=2 Experiments.

Natasha Jaques, Travis Rich, Karthik Dinakar, Niaja Farve, Weixuan 'Vincent' Chen, Pattie Maes, Rosalind W. Picard, Kevin Slavin

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

Automatic identification of artifacts in electrodermal activity data.

Sara Taylor, Natasha Jaques, Weixuan 'Vincent' Chen, Szymon Fedor, Akane Sano, Rosalind W. Picard

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Prediction of Happy-Sad mood from daily behaviors and previous sleep history.

Akane Sano, Amy Z. Yu, Andrew W. McHill, Andrew J. K. Phillips, Sara Taylor, Natasha Jaques, Elizabeth B. Klerman, Rosalind W. Picard

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Wavelet-based motion artifact removal for electrodermal activity.

Weixuan Chen, Natasha Jaques, Sara Taylor, Akane Sano, Szymon Fedor, Rosalind W. Picard

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

SmileTracker: Automatically and Unobtrusively Recording Smiles and their Context.

Natasha Jaques, Weixuan 'Vincent' Chen, Rosalind W. Picard

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones.

Akane Sano, Andrew J. K. Phillips, Amy Z. Yu, Andrew W. McHill, Sara Taylor, Natasha Jaques, Charles A. Czeisler, Elizabeth B. Klerman, Rosalind W. Picard

Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015

Predicting students' happiness from physiology, phone, mobility, and behavioral data.

Natasha Jaques, Sara Taylor, Asaph Azaria, Asma Ghandeharioun, Akane Sano, Rosalind W. Picard

Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014

Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System.

Natasha Jaques, Cristina Conati, Jason M. Harley, Roger Azevedo

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

2013

Understanding Attention to Adaptive Hints in Educational Games: An Eye-Tracking Study.

Cristina Conati, Natasha Jaques, Mary Muir

Int. J. Artif. Intell. Educ., 2013