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1Home Page of Virupakshappa
homepages/246/2758, Virupakshappa, Home Page, https://orcid.org/0000-0002-1395-0262
2 months ago by @dblp
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1Home Page of Guochun Wan and Guo Chun Wan
homepages/246/7204, Guochun Wan and Guo Chun Wan, Home Page, https://orcid.org/0000-0003-0521-1176
2 months ago by @dblp
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1Home Page of Eman Azab and Eman A. Soliman
homepages/246/7271, German University in Cairo, Egypt, Eman Azab and Eman A. Soliman, Home Page, https://orcid.org/0000-0002-5558-6948
2 months ago by @dblp
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1Home Page of Razan Jaber and Razan N. Jaber and Razan Jaberibraheem
homepages/246/6244, Razan Jaber and Razan N. Jaber and Razan Jaberibraheem, Home Page, https://orcid.org/0000-0001-6649-1242
2 months ago by @dblp
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1Home Page of Farzan Soleymani
homepages/246/8608, Farzan Soleymani, Home Page, https://orcid.org/0000-0001-8668-0710
2 months ago by @dblp
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1Home Page of Robert A. Cribbie
homepages/246/4511, Robert A. Cribbie, Home Page, https://www.wikidata.org/entity/Q52598479
2 months ago by @dblp
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1Home Page of Alison N. Agres
homepages/246/1772, Alison N. Agres, Home Page, https://www.wikidata.org/entity/Q87168288
2 months ago by @dblp
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1Home Page of Wilson Cesar Santana
homepages/246/3966, Wilson Cesar Santana, Home Page, https://orcid.org/0000-0003-2335-4584
2 months ago by @dblp
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1Home Page of Yicong Li
homepages/246/8802-1, National University of Defense Technology, Changsha, China, Yicong Li, Home Page, https://orcid.org/0000-0001-7905-4885
2 months ago by @dblp
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1Home Page of Qun (Tracy) Li
homepages/246/2946, Didi Chuxing, Beijing, China, Qun (Tracy) Li, Home Page, https://dl.acm.org/profile/99659605905
2 months ago by @dblp
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1Home Page of Alessio Santiccioli
homepages/246/2916, Alessio Santiccioli, Home Page, https://orcid.org/0000-0002-2301-5702
2 months ago by @dblp
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1Home Page of Zijie Huang
homepages/246/8147-1, Shanghai Normal University, Department of Computer Science and Technology, China, Zijie Huang, Home Page, https://www.scopus.com/authid/detail.uri?authorId=57210743971
2 months ago by @dblp
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1Home Page of Jiaxin Zhang
homepages/246/9162, Hong Kong Polytechnic University, School of Design, Hong Kong, Jiaxin Zhang, Home Page, https://orcid.org/0000-0003-2572-2176
2 months ago by @dblp
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1Home Page of Constantin Seibold and Constantin Marc Seibold
homepages/246/4779, Constantin Seibold and Constantin Marc Seibold, Home Page, https://orcid.org/0000-0001-6042-8437
2 months ago by @dblp
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1Home Page of Rafael Fresno and Rafael Fresno-Aranda
homepages/246/5351, Rafael Fresno and Rafael Fresno-Aranda, Home Page, https://orcid.org/0000-0001-8480-5014
2 months ago by @dblp
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1Home Page of Aditya Kumar Sahu
homepages/246/8759, Aditya Kumar Sahu, Home Page, https://orcid.org/0000-0003-4257-0688
2 months ago by @dblp
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1Home Page of Jesús-Adolfo Mejía-de-Dios
homepages/246/6904, Jesús-Adolfo Mejía-de-Dios, Home Page, https://orcid.org/0000-0002-0367-2967
2 months ago by @dblp
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1Home Page of Akila H. Wijethunge
homepages/246/8755, University of Peradeniya, Department of Electrical and Electronic Engineering, Sri Lanka, Akila H. Wijethunge, Home Page, https://orcid.org/0000-0002-7672-6583
2 months ago by @dblp
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1Home Page of Jorrit Olthuis and J. J. Olthuis
homepages/246/2556, Tech United Eindhoven, Eindhoven, The Netherlands, Jorrit Olthuis and J. J. Olthuis, Home Page, https://orcid.org/0000-0003-4918-5344
2 months ago by @dblp
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1Home Page of Xinpeng Ding
homepages/246/2852, Xinpeng Ding, Home Page, https://orcid.org/0000-0001-7653-1199
2 months ago by @dblp
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1Understanding Narrative Linearity for Telling Expressive Time-Oriented Stories.
X. Lan, X. Xu, and N. Cao. CHI, page 604:1-604:13. ACM, (2021)
4 days ago by @dblp
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1ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning.
M. Jin, Y. Liu, Y. Zheng, L. Chi, Y. Li, and S. Pan. CIKM, page 3122-3126. ACM, (2021)
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1Attention, Comprehension, Execution: Effects of Different Designs of Biofeedback Display.
Z. Sun, N. Cao, and X. Ma. CHI Extended Abstracts, page 2132-2139. ACM, (2017)
4 days ago by @dblp
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1Grand Challenges for Personal Informatics and AI.
L. Mamykina, D. Epstein, P. Klasnja, D. Sprujt-Metz, J. Meyer, M. Czerwinski, T. Althoff, E. Choe, M. Choudhury, and B. Lim. CHI Extended Abstracts, page 76:1-76:6. ACM, (2022)
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1Toward a More Comprehensive Understanding of Visualization Literacy.
L. Ge, M. Hedayati, Y. Cui, Y. Ding, K. Bonilla, A. Joshi, A. Ottley, B. Bach, B. Kwon, D. Rapp and 6 other author(s). CHI Extended Abstracts, page 494:1-494:7. ACM, (2024)
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1Qubit Allocation for Distributed Quantum Computing.
Y. Mao, Y. Liu, and Y. Yang. INFOCOM, page 1-10. IEEE, (2023)
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1On supporting forwarding strategies and sync protocols through NDN distance vector routing.
I. Brito, L. Sampaio, and L. Zhang. ICN, page 183-185. ACM, (2022)
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1Whack-a-Ball: An Exergame Exploring the Use of a Ball Interface for Facilitating Physical Activities.
R. Bei, Y. Li, and X. Tong. CHI PLAY, page 249-255. ACM, (2021)
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2Analyzing the Performance of Multilayer Neural Networks for Object Recognition.
P. Agrawal, R. Girshick, and J. Malik. ECCV (7), volume 8695 of Lecture Notes in Computer Science, page 329-344. Springer, (2014)
4 days ago by @dblp
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1Blockchain's Role in Metaverse Trust and Transactions.
R. Aygun, T. Vural, and L. Zhang. MetaCom, page 786-792. IEEE, (2023)
4 days ago by @dblp
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2Topological Experience Replay.
Z. Hong, T. Chen, Y. Lin, J. Pajarinen, and P. Agrawal. ICLR, OpenReview.net, (2022)
4 days ago by @dblp
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1Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations.
R. Dangovski, L. Jing, C. Loh, S. Han, A. Srivastava, B. Cheung, P. Agrawal, and M. Soljacic. ICLR, OpenReview.net, (2022)
4 days ago by @dblp
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2Overcoming The Spectral Bias of Neural Value Approximation.
G. Yang, A. Ajay, and P. Agrawal. ICLR, OpenReview.net, (2022)
4 days ago by @dblp
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1Bi-linear Value Networks for Multi-goal Reinforcement Learning.
Z. Hong, G. Yang, and P. Agrawal. ICLR, OpenReview.net, (2022)
4 days ago by @dblp
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1Is Conditional Generative Modeling all you need for Decision Making?
A. Ajay, Y. Du, A. Gupta, J. Tenenbaum, T. Jaakkola, and P. Agrawal. ICLR, OpenReview.net, (2023)
4 days ago by @dblp
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2Learning to Extrapolate: A Transductive Approach.
A. Netanyahu, A. Gupta, M. Simchowitz, K. Zhang, and P. Agrawal. ICLR, OpenReview.net, (2023)
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2Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting.
Z. Hong, P. Agrawal, R. des Combes, and R. Laroche. ICLR, OpenReview.net, (2023)
4 days ago by @dblp
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1OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning.
A. Ajay, A. Kumar, P. Agrawal, S. Levine, and O. Nachum. ICLR, OpenReview.net, (2021)
4 days ago by @dblp
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1Learning to Perform Physics Experiments via Deep Reinforcement Learning.
M. Denil, P. Agrawal, T. Kulkarni, T. Erez, P. Battaglia, and N. de Freitas. ICLR (Poster), OpenReview.net, (2017)
4 days ago by @dblp
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3Zero-Shot Visual Imitation.
D. Pathak, P. Mahmoudieh, G. Luo, P. Agrawal, D. Chen, Y. Shentu, E. Shelhamer, J. Malik, A. Efros, and T. Darrell. ICLR, OpenReview.net, (2018)
4 days ago by @dblp
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1Learning Visual Predictive Models of Physics for Playing Billiards.
K. Fragkiadaki, P. Agrawal, S. Levine, and J. Malik. ICLR (Poster), (2016)
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1Future Frame Prediction Using Convolutional VRNN for Anomaly Detection.
Y. Lu, K. Kumar, S. Nabavi, and Y. Wang. AVSS, page 1-8. IEEE, (2019)
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1Assuring Learning-Enabled Increasingly Autonomous Systems*.
N. Narayan, P. Ganeriwala, R. Jones, M. Matessa, S. Bhattacharyya, J. Davis, H. Purohit, and S. Rollini. SysCon, page 1-7. IEEE, (2023)
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2PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection.
J. Pan, Y. Liu, Y. Zheng, and S. Pan. ICDM, page 1253-1258. IEEE, (2023)
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1Poster Abstract: Continuous Computing from Cloud to Edge.
H. Müller, S. Gogouvitis, H. Haitof, A. Seitz, and B. Bruegge. SEC, page 97-98. IEEE Computer Society, (2016)
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2GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.
L. Wang, D. He, H. Zhang, Y. Liu, W. Wang, S. Pan, D. Jin, and T. Chua. AAAI, page 15537-15545. AAAI Press, (2024)
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1Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3D Video Reconstruction.
L. Wang, Y. Gong, Q. Wang, K. Zhou, and L. Chen. AAAI, page 2599-2607. AAAI Press, (2023)
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1Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.
Y. Liu, Y. Zheng, D. Zhang, V. Lee, and S. Pan. AAAI, page 4516-4524. AAAI Press, (2023)
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3Investigating Human Priors for Playing Video Games.
R. Dubey, P. Agrawal, D. Pathak, T. Griffiths, and A. Efros. ICML, volume 80 of Proceedings of Machine Learning Research, page 1348-1356. PMLR, (2018)
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5Curiosity-driven Exploration by Self-supervised Prediction.
D. Pathak, P. Agrawal, A. Efros, and T. Darrell. ICML, volume 70 of Proceedings of Machine Learning Research, page 2778-2787. PMLR, (2017)
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2Learning Task Informed Abstractions.
X. Fu, G. Yang, P. Agrawal, and T. Jaakkola. ICML, volume 139 of Proceedings of Machine Learning Research, page 3480-3491. PMLR, (2021)
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2Offline RL Policies Should Be Trained to be Adaptive.
D. Ghosh, A. Ajay, P. Agrawal, and S. Levine. ICML, volume 162 of Proceedings of Machine Learning Research, page 7513-7530. PMLR, (2022)
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2Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning.
A. Netanyahu, T. Shu, J. Tenenbaum, and P. Agrawal. ICML, volume 162 of Proceedings of Machine Learning Research, page 16480-16495. PMLR, (2022)
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2Statistical Learning under Heterogenous Distribution Shift.
M. Simchowitz, A. Ajay, P. Agrawal, and A. Krishnamurthy. ICML, volume 202 of Proceedings of Machine Learning Research, page 31800-31851. PMLR, (2023)
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2TGRL: An Algorithm for Teacher Guided Reinforcement Learning.
I. Shenfeld, Z. Hong, A. Tamar, and P. Agrawal. ICML, volume 202 of Proceedings of Machine Learning Research, page 31077-31093. PMLR, (2023)
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2Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks.
M. Huh, B. Cheung, P. Agrawal, and P. Isola. ICML, volume 202 of Proceedings of Machine Learning Research, page 14096-14113. PMLR, (2023)
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2Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation.
A. Peng, A. Netanyahu, M. Ho, T. Shu, A. Bobu, J. Shah, and P. Agrawal. ICML, volume 202 of Proceedings of Machine Learning Research, page 27630-27641. PMLR, (2023)
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1Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks.
Y. Lu, G. Kamath, and Y. Yu. ICML, volume 202 of Proceedings of Machine Learning Research, page 22856-22879. PMLR, (2023)
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2Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation.
Z. Li, T. Chen, Z. Hong, A. Ajay, and P. Agrawal. ICML, volume 202 of Proceedings of Machine Learning Research, page 19440-19459. PMLR, (2023)
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1Assuring Increasingly Autonomous Systems in Human-Machine Teams: An Urban Air Mobility Case Study.
S. Bhattacharyya, J. Davis, A. Gupta, N. Narayan, and M. Matessa. FMAS, volume 348 of EPTCS, page 150-166. (2021)
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1Semantic Segmentation in Compressed Videos.
A. Li, Y. Lu, and Y. Wang. MMSP, page 1-5. IEEE, (2019)
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1What will Happen Next? Forecasting Player Moves in Sports Videos.
P. Felsen, P. Agrawal, and J. Malik. ICCV, page 3362-3371. IEEE Computer Society, (2017)
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2Learning to See by Moving.
P. Agrawal, J. Carreira, and J. Malik. ICCV, page 37-45. IEEE Computer Society, (2015)
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1Bring Clipart to Life.
N. Zhao, S. Dang, H. Lin, Y. Shi, and N. Cao. ICCV, page 23284-23293. IEEE, (2023)
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2TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models.
L. Zhang, N. Xu, P. Yang, G. Jin, C. Huang, and L. Zhang. ICCV, page 8293-8305. IEEE, (2023)
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2A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects.
A. Simeonov, Y. Du, B. Kim, F. Hogan, J. Tenenbaum, P. Agrawal, and A. Rodriguez. CoRL, volume 155 of Proceedings of Machine Learning Research, page 1582-1601. PMLR, (2020)
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23D Neural Scene Representations for Visuomotor Control.
Y. Li, S. Li, V. Sitzmann, P. Agrawal, and A. Torralba. CoRL, volume 164 of Proceedings of Machine Learning Research, page 112-123. PMLR, (2021)
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2Learning to Jump from Pixels.
G. Margolis, T. Chen, K. Paigwar, X. Fu, D. Kim, S. Kim, and P. Agrawal. CoRL, volume 164 of Proceedings of Machine Learning Research, page 1025-1034. PMLR, (2021)
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2A System for General In-Hand Object Re-Orientation.
T. Chen, J. Xu, and P. Agrawal. CoRL, volume 164 of Proceedings of Machine Learning Research, page 297-307. PMLR, (2021)
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1Efficient Tactile Simulation with Differentiability for Robotic Manipulation.
J. Xu, S. Kim, T. Chen, A. Garcia, P. Agrawal, W. Matusik, and S. Sueda. CoRL, volume 205 of Proceedings of Machine Learning Research, page 1488-1498. PMLR, (2022)
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1SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.
A. Simeonov, Y. Du, Y. Lin, A. Garcia, L. Kaelbling, T. Lozano-Pérez, and P. Agrawal. CoRL, volume 205 of Proceedings of Machine Learning Research, page 835-846. PMLR, (2022)
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2Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior.
G. Margolis, and P. Agrawal. CoRL, volume 205 of Proceedings of Machine Learning Research, page 22-31. PMLR, (2022)
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2Learning to See Physical Properties with Active Sensing Motor Policies.
G. Margolis, X. Fu, Y. Ji, and P. Agrawal. CoRL, volume 229 of Proceedings of Machine Learning Research, page 2537-2548. PMLR, (2023)
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1Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback.
M. Balsells, M. Villasevil, Z. Wang, S. Desai, P. Agrawal, and A. Gupta. CoRL, volume 229 of Proceedings of Machine Learning Research, page 774-799. PMLR, (2023)
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1Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.
A. Simeonov, A. Goyal, L. Manuelli, Y. Lin, A. Sarmiento, A. Garcia, P. Agrawal, and D. Fox. CoRL, volume 229 of Proceedings of Machine Learning Research, page 2030-2069. PMLR, (2023)
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1MissConf: LLM-Enhanced Reproduction of Configuration-Triggered Bugs.
Y. Fu, T. Wang, S. Li, J. Ding, S. Zhou, Z. Jia, W. Li, Y. Jiang, and X. Liao. ICSE Companion, page 484-495. ACM, (2024)
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1Aligning Human and Robot Representations.
A. Bobu, A. Peng, P. Agrawal, J. Shah, and A. Dragan. HRI, page 42-54. ACM, (2024)
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1VideoForest: interactive visual summarization of video streams based on danmu data.
Z. Sun, M. Sun, N. Cao, and X. Ma. SIGGRAPH Asia Symposium on Visualization, page 10:1-10:8. ACM, (2016)
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2Learning Strong Graph Neural Networks with Weak Information.
Y. Liu, K. Ding, J. Wang, V. Lee, H. Liu, and S. Pan. KDD, page 1559-1571. ACM, (2023)
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2Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests.
Y. Chen, C. Shang, X. Huang, and X. Yin. CDC, page 7988-7993. IEEE, (2023)
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2Stubborn: A Strong Baseline for Indoor Object Navigation.
H. Luo, A. Yue, Z. Hong, and P. Agrawal. IROS, page 3287-3293. IEEE, (2022)
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1How to Evaluate an Evaluation Study? Comparing and Contrasting Practices in Vis with Those of Other Disciplines : Position Paper.
A. Crisan, and M. Elliott. BELIV, page 28-36. IEEE Computer Society, (2018)
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1Piezologist: A Novel Wearable Piezoelectric-based Cardiorespiratory Monitoring System.
M. Ahmad, and S. Ahmed. INISTA, page 1-7. IEEE, (2018)
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1Fogernetes: Deployment and management of fog computing applications.
C. Wöbker, A. Seitz, H. Müller, and B. Bruegge. NOMS, page 1-7. IEEE, (2018)
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1Human Pose Estimation with Iterative Error Feedback.
J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik. CVPR, page 4733-4742. IEEE Computer Society, (2016)
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1Dionysus: Recovering Scene Structures by Dividing into Semantic Pieces.
L. Wang, and L. Chen. CVPR, page 12576-12587. IEEE, (2023)
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2GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance.
S. Li, H. Schieber, N. Corell, B. Egger, J. Kreimeier, and D. Roth. VR, page 513-523. IEEE, (2024)
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1Video-based Evanescent, Anonymous, Asynchronous Social Interaction: Motivation and Adaption to Medium.
X. Ma, and N. Cao. CSCW, page 770-782. ACM, (2017)
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2Rapid Locomotion via Reinforcement Learning.
G. Margolis, G. Yang, K. Paigwar, T. Chen, and P. Agrawal. Robotics: Science and Systems, (2022)
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2An End-to-End Differentiable Framework for Contact-Aware Robot Design.
J. Xu, T. Chen, L. Zlokapa, M. Foshey, W. Matusik, S. Sueda, and P. Agrawal. Robotics: Science and Systems, (2021)
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1Incremental Nonlinear Dynamic Inversion Control of Long-Stroke Pneumatic Actuators.
H. Das, D. Pool, and E. van Kampen. ECC, page 978-983. IEEE, (2021)
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1SCADA Systems in the Cloud.
P. Church, H. Müller, C. Ryan, S. Gogouvitis, A. Goscinski, H. Haitof, and Z. Tari. Handbook of Big Data Technologies, Springer, (2017)
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1Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning.
P. Khorrami, O. Simek, B. Cheung, M. Veillette, R. Dangovski, I. Rugina, M. Soljacic, and P. Agrawal. IEEE BigData, page 4169-4177. IEEE, (2021)
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2Beyond Opinion Mining: Summarizing Opinions of Customer Reviews.
R. Amplayo, A. Brazinskas, Y. Suhara, X. Wang, and B. Liu. SIGIR, page 3447-3450. ACM, (2022)
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2Towards Unsupervised Deep Graph Structure Learning.
Y. Liu, Y. Zheng, D. Zhang, H. Chen, H. Peng, and S. Pan. WWW, page 1392-1403. ACM, (2022)
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1The automatic assessment of knowledge integration processes in project teams.
G. Gweon, P. Agrawal, M. Udani, B. Raj, and C. Rosé. CSCL, International Society of the Learning Sciences, (2011)
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1Matrix Factorization Meets Cosine Similarity: Addressing Sparsity Problem in Collaborative Filtering Recommender System.
H. Wen, G. Ding, C. Liu, and J. Wang. APWeb, volume 8709 of Lecture Notes in Computer Science, page 306-317. Springer, (2014)
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3Superposition of many models into one.
B. Cheung, A. Terekhov, Y. Chen, P. Agrawal, and B. Olshausen. NeurIPS, page 10867-10876. (2019)
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1Breadcrumbs to the Goal: Supervised Goal Selection from Human-in-the-Loop Feedback.
M. Villasevil, M. Balsells, Z. Wang, S. Desai, T. Chen, P. Agrawal, and A. Gupta. NeurIPS, (2023)
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2Towards Self-Interpretable Graph-Level Anomaly Detection.
Y. Liu, K. Ding, Q. Lu, F. Li, L. Zhang, and S. Pan. NeurIPS, (2023)
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2Human-Guided Complexity-Controlled Abstractions.
A. Peng, M. Tucker, E. Kenny, N. Zaslavsky, P. Agrawal, and J. Shah. NeurIPS, (2023)
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2Compositional Foundation Models for Hierarchical Planning.
A. Ajay, S. Han, Y. Du, S. Li, A. Gupta, T. Jaakkola, J. Tenenbaum, L. Kaelbling, A. Srivastava, and P. Agrawal. NeurIPS, (2023)
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2Self-Supervised Reinforcement Learning that Transfers using Random Features.
B. Chen, C. Zhu, P. Agrawal, K. Zhang, and A. Gupta. NeurIPS, (2023)
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2Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets.
Z. Hong, A. Kumar, S. Karnik, A. Bhandwaldar, A. Srivastava, J. Pajarinen, R. Laroche, A. Gupta, and P. Agrawal. NeurIPS, (2023)
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1Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers.
Y. Lu, Y. Yu, X. Li, and V. Nia. NeurIPS, (2023)
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2Distributionally Adaptive Meta Reinforcement Learning.
A. Ajay, A. Gupta, D. Ghosh, S. Levine, and P. Agrawal. NeurIPS, (2022)
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2Redeeming intrinsic rewards via constrained optimization.
E. Chen, Z. Hong, J. Pajarinen, and P. Agrawal. NeurIPS, (2022)
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2Combining self-supervised learning and imitation for vision-based rope manipulation.
A. Nair, D. Chen, P. Agrawal, P. Isola, P. Abbeel, J. Malik, and S. Levine. ICRA, page 2146-2153. IEEE, (2017)
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2TactoFind: A Tactile Only System for Object Retrieval.
S. Pai, T. Chen, M. Tippur, E. Adelson, A. Gupta, and P. Agrawal. ICRA, page 8025-8032. IEEE, (2023)
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2DribbleBot: Dynamic Legged Manipulation in the Wild.
Y. Ji, G. Margolis, and P. Agrawal. ICRA, page 5155-5162. IEEE, (2023)
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1Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation.
A. Simeonov, Y. Du, A. Tagliasacchi, J. Tenenbaum, A. Rodriguez, P. Agrawal, and V. Sitzmann. ICRA, page 6394-6400. IEEE, (2022)
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2An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators.
L. Zlokapa, Y. Luo, J. Xu, M. Foshey, K. Wu, P. Agrawal, and W. Matusik. ICRA, page 3136-3142. IEEE, (2022)
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2Stable Object Reorientation using Contact Plane Registration.
R. Li, C. Esteves, A. Makadia, and P. Agrawal. ICRA, page 6379-6385. IEEE, (2022)
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2Residual Model Learning for Microrobot Control.
J. Gruenstein, T. Chen, N. Doshi, and P. Agrawal. ICRA, page 7219-7226. IEEE, (2021)
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1Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning.
R. Li, A. Jabri, T. Darrell, and P. Agrawal. ICRA, page 4051-4058. IEEE, (2020)
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1GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection.
Y. Liu, K. Ding, H. Liu, and S. Pan. WSDM, page 339-347. ACM, (2023)
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1What are People Talking about in #BackLivesMatter and #StopAsianHate?: Exploring and Categorizing Twitter Topics Emerged in Online Social Movements through the Latent Dirichlet Allocation Model.
X. Tong, Y. Li, J. Li, R. Bei, and L. Zhang. AIES, page 723-738. ACM, (2022)
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2Learning Instance Segmentation by Interaction.
D. Pathak, Y. Shentu, D. Chen, P. Agrawal, T. Darrell, S. Levine, and J. Malik. CVPR Workshops, page 2042-2045. Computer Vision Foundation / IEEE Computer Society, (2018)
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3Zero-Shot Visual Imitation.
D. Pathak, P. Mahmoudieh, G. Luo, P. Agrawal, D. Chen, Y. Shentu, E. Shelhamer, J. Malik, A. Efros, and T. Darrell. CVPR Workshops, page 2050-2053. Computer Vision Foundation / IEEE Computer Society, (2018)
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5Curiosity-Driven Exploration by Self-Supervised Prediction.
D. Pathak, P. Agrawal, A. Efros, and T. Darrell. CVPR Workshops, page 488-489. IEEE Computer Society, (2017)
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