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Natasha Jaques
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2020 – today
- 2024
- [c30]Marwa Abdulhai, Gregory Serapio-García, Clément Crepy, Daria Valter, John Canny, Natasha Jaques:
Moral Foundations of Large Language Models. EMNLP 2024: 17737-17752 - [c29]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:
Adaptive Accompaniment with ReaLchords. ICML 2024 - [i23]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:
Achieving Human Level Competitive Robot Table Tennis. CoRR abs/2408.03906 (2024) - [i22]Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, Natasha Jaques:
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning. CoRR abs/2408.10075 (2024) - [i21]Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques:
Infer Human's Intentions Before Following Natural Language Instructions. CoRR abs/2409.18073 (2024) - 2023
- [j3]David Rolnick
, Priya L. Donti, Lynn H. Kaack
Tackling Climate Change with Machine Learning. ACM Comput. Surv. 55(2): 42:1-42:96 (2023) - [i20]Marwa Abdulhai, Gregory Serapio-García, Clément Crepy, Daria Valter, John Canny, Natasha Jaques:
Moral Foundations of Large Language Models. CoRR abs/2310.15337 (2023) - 2022
- [c28]Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust
Less is More: Generating Grounded Navigation Instructions from Landmarks. CVPR 2022: 15407-15417 - [i19]Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust:
Environment Generation for Zero-Shot Compositional Reinforcement Learning. CoRR abs/2201.08896 (2022) - [i18]Marwa Abdulhai, Natasha Jaques, Sergey Levine:
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience. CoRR abs/2208.04919 (2022) - [i17]Srivatsan Krishnan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang, Izzeddin Gur, Vijay Janapa Reddi, Aleksandra Faust
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration. CoRR abs/2211.16385 (2022) - [i16]Blair L. Bilodeau, Natasha Jaques, Pang Wei Koh, Been Kim:
Impossibility Theorems for Feature Attribution. CoRR abs/2212.11870 (2022) - 2021
- [c27]Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar:
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. ICML 2021: 3305-3317 - [c26]Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques:
Emergent Social Learning via Multi-agent Reinforcement Learning. ICML 2021: 7991-8004 - [c25]Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust:
Environment Generation for Zero-Shot Compositional Reinforcement Learning. NeurIPS 2021: 4157-4169 - [i15]Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar:
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. CoRR abs/2102.12560 (2021) - [i14]Izzeddin Gur, Natasha Jaques, Kevin Malta, Manoj Tiwari, Honglak Lee, Aleksandra Faust:
Adversarial Environment Generation for Learning to Navigate the Web. CoRR abs/2103.01991 (2021) - [i13]Dennis Lee, Natasha Jaques, J. Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust:
Joint Attention for Multi-Agent Coordination and Social Learning. CoRR abs/2104.07750 (2021) - [i12]Arnaud Fickinger, Natasha Jaques
Explore and Control with Adversarial Surprise. CoRR abs/2107.07394 (2021) - [i11]Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson:
Less is More: Generating Grounded Navigation Instructions from Landmarks. CoRR abs/2111.12872 (2021) - 2020
- [j2]Sara Taylor
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health. IEEE Trans. Affect. Comput. 11(2): 200-213 (2020) - [c24]Natasha Jaques:
Reinforcement learning from Affective Cues in Dialogue. AffCon@AAAI 2020 - [c23]Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard:
Hierarchical Reinforcement Learning for Open-Domain Dialog. AAAI 2020: 8741-8748 - [c22]Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson
Human-centric dialog training via offline reinforcement learning. EMNLP (1) 2020: 3985-4003 - [c21]Michael Dennis, Natasha Jaques, Eugene Vinitsky
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS 2020 - [i10]Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques
Multi-agent Social Reinforcement Learning Improves Generalization. CoRR abs/2010.00581 (2020) - [i9]Natasha Jaques
Human-centric Dialog Training via Offline Reinforcement Learning. CoRR abs/2010.05848 (2020) - [i8]Michael Dennis, Natasha Jaques
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. CoRR abs/2012.02096 (2020)
2010 – 2019
- 2019
- [c20]Noah Jones, Natasha Jaques, Pat Pataranutaporn, Asma Ghandeharioun, Rosalind W. Picard:
Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. ACII Workshops 2019: 1-5 - [c19]Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas:
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. ICML 2019: 3040-3049 - [c18]Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Àgata Lapedriza, Rosalind W. Picard:
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems. NeurIPS 2019: 13658-13669 - [i7]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 Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli
Tackling Climate Change with Machine Learning. CoRR abs/1906.05433 (2019) - [i6]Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems. CoRR abs/1906.09308 (2019) - [i5]Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog. CoRR abs/1907.00456 (2019) - [i4]Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard:
Hierarchical Reinforcement Learning for Open-Domain Dialog. CoRR abs/1909.07547 (2019) - 2018
- [c17]Kristina T. Johnson, Sara Taylor
Vomit Comet Physiology: Autonomic Changes in Novice Flyers. EMBC 2018: 1172-1176 - [c16]Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck:
Learning via social awareness: improving sketch representations with facial feedback. ICLR (Workshop) 2018 - [c15]Natasha Jaques, Jennifer McCleary, Jesse H. Engel, David Ha, Fred Bertsch, Douglas Eck, Rosalind W. Picard:
Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback. AffComp@IJCAI 2018: 1-9 - [i3]Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck:
Learning via social awareness: improving sketch representations with facial feedback. CoRR abs/1802.04877 (2018) - [i2]Natasha Jaques
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. CoRR abs/1810.08647 (2018) - 2017
- [c14]Natasha Jaques, Sara Taylor
Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction. ACII 2017: 202-208 - [c13]Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck:
Tuning Recurrent Neural Networks with Reinforcement Learning. ICLR (Workshop) 2017 - [c12]Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck:
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control. ICML 2017: 1645-1654 - [c11]Natasha Jaques, Ognjen (Oggi) Rudovic, Sara Taylor, Akane Sano, Rosalind W. Picard:
Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation. AffComp@IJCAI 2017: 17-33 - 2016
- [c10]Natasha Jaques, Travis Rich, Karthik Dinakar, Niaja Farve, Weixuan 'Vincent' Chen, Pattie Maes, Rosalind W. Picard, Kevin Slavin:
BITxBIT: Encouraging Behavior Change with N=2 Experiments. CHI Extended Abstracts 2016: 2134-2140 - [c9]Natasha Jaques, Daniel McDuff, Yoo Lim Kim, Rosalind W. Picard:
Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language. IVA 2016: 64-74 - [c8]Natasha Jaques, Yoo Lim Kim, Rosalind W. Picard:
Personality, Attitudes, and Bonding in Conversations. IVA 2016: 378-382 - [i1]Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck:
Tuning Recurrent Neural Networks with Reinforcement Learning. CoRR abs/1611.02796 (2016) - 2015
- [c7]Natasha Jaques, Sara Taylor
Predicting students' happiness from physiology, phone, mobility, and behavioral data. ACII 2015: 222-228 - [c6]Akane Sano, Andrew J. K. Phillips
Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones. BSN 2015: 1-6 - [c5]Natasha Jaques, Weixuan 'Vincent' Chen, Rosalind W. Picard:
SmileTracker: Automatically and Unobtrusively Recording Smiles and their Context. CHI Extended Abstracts 2015: 1953-1958 - [c4]Sara Taylor
Automatic identification of artifacts in electrodermal activity data. EMBC 2015: 1934-1937 - [c3]Weixuan Chen, Natasha Jaques, Sara Taylor
Wavelet-based motion artifact removal for electrodermal activity. EMBC 2015: 6223-6226 - [c2]Akane Sano, Amy Z. Yu, Andrew W. McHill, Andrew J. K. Phillips
Prediction of Happy-Sad mood from daily behaviors and previous sleep history. EMBC 2015: 6796-6799 - 2014
- [c1]Natasha Jaques, Cristina Conati, Jason M. Harley, Roger Azevedo:
Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System. Intelligent Tutoring Systems 2014: 29-38 - 2013
- [j1]Cristina Conati, Natasha Jaques, Mary Muir:
Understanding Attention to Adaptive Hints in Educational Games: An Eye-Tracking Study. Int. J. Artif. Intell. Educ. 23(1-4): 136-161 (2013)
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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