Daniel Ho

29 papers A* 8A 1Misc 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2023 A* conf
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation.
ICRA
Cem Gokmen, Daniel Ho, Mohi Khansari
2023 J jnl
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation.
CoRR
Cem Gokmen, Daniel Ho, Mohi Khansari
2023 — conf
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.
Robotics: Science and Systems
Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David J. Rendleman, Sean Kirmani, Jeffrey T. Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine
2023 J jnl
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.
CoRR
Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Kelly Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David Rendleman, Sean Kirmani, Jeffrey T. Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine
2023 A* conf
Practical Visual Deep Imitation Learning via Task-Level Domain Consistency.
ICRA
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
2022 A* conf
Bayesian Imitation Learning for End-to-End Mobile Manipulation.
ICML
Yuqing Du, Daniel Ho, Alex Alemi, Eric Jang, Mohi Khansari
2022 J jnl
Bayesian Imitation Learning for End-to-End Mobile Manipulation.
CoRR
Yuqing Du, Daniel Ho, Alexander A. Alemi, Eric Jang, Mohi Khansari
2022 Misc conf
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
CoRL
Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu
2022 J jnl
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
CoRR
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan
2022 J jnl
Practical Imitation Learning in the Real World via Task Consistency Loss.
CoRR
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
2021 A conf
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing.
IROS
Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho
2021 J jnl
First-Generation Inference Accelerator Deployment at Facebook.
CoRR
Michael J. Anderson, Benny Chen, Stephen Chen, Summer Deng, Jordan Fix, Michael Gschwind, Aravind Kalaiah, Changkyu Kim, Jaewon Lee, Jason Liang, Haixin Liu, Yinghai Lu, Jack Montgomery, Arun Moorthy, Nadathur Satish, Sam Naghshineh, Avinash Nayak, Jongsoo Park, Chris Petersen, Martin Schatz, Narayanan Sundaram, Bangsheng Tang, Peter Tang, Amy Yang, Jiecao Yu, Hector Yuen, Ying Zhang, Aravind Anbudurai, Vandana Balan, Harsha Bojja, Joe Boyd, Matthew Breitbach, Claudio Caldato, Anna Calvo, Garret Catron, Sneh Chandwani, Panos Christeas, Brad Cottel, Brian Coutinho, Arun Dalli, Abhishek Dhanotia, Oniel Duncan, Roman Dzhabarov, Simon Elmir, Chunli Fu, Wenyin Fu, Michael Fulthorp, Adi Gangidi, Nick Gibson, Sean Gordon, Beatriz Padilla Hernandez, Daniel Ho, Yu-Cheng Huang, Olof Johansson, Shishir Juluri, et al.
2021 A* conf
NBDT: Neural-Backed Decision Tree.
ICLR
Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez
2021 — conf
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms.
EMNLP (1)
Pei Zhou, Rahul Khanna, Seyeon Lee, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren
2021 A* conf
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer.
ICRA
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai
2021 A* conf
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning.
ICRA
Yifeng Jiang, Tingnan Zhang, Daniel Ho, Yunfei Bai, C. Karen Liu, Sergey Levine, Jie Tan
2021 J jnl
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning.
CoRR
Yifeng Jiang, Tingnan Zhang, Daniel Ho, Yunfei Bai, C. Karen Liu, Sergey Levine, Jie Tan
2020 J jnl
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing.
CoRR
Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho
2020 J jnl
Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models.
CoRR
Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Xiang Ren, Jay Pujara
2020 J jnl
NBDT: Neural-Backed Decision Trees.
CoRR
Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez
2020 J jnl
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer.
CoRR
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai
2020 J jnl
SegNBDT: Visual Decision Rules for Segmentation.
CoRR
Alvin Wan, Daniel Ho, Younjin Song, Henk Tillman, Sarah Adel Bargal, Joseph E. Gonzalez
2019 — conf
OpenArm 2.0: Automated Segmentation of 3D Tissue Structures for Multi-Subject Study of Muscle Deformation Dynamics.
EMBC
Yonatan Nozik, Laura A. Hallock, Daniel Ho, Sai Mandava, Chris Mitchell, Thomas Hui Li, Ruzena Bajcsy
2019 A* conf
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules.
ICML
Daniel Ho, Eric Liang, Xi Chen, Ion Stoica, Pieter Abbeel
2019 J jnl
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules.
CoRR
Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen
2018 A* conf
Improvements to Context Based Self-Supervised Learning.
CVPR
T. Nathan Mundhenk, Daniel Ho, Barry Y. Chen
2017 J jnl
Improvements to context based self-supervised learning.
CoRR
T. Nathan Mundhenk, Daniel Ho, Barry Y. Chen
2016 J jnl
IRNdb: the database of immunologically relevant non-coding RNAs.
Database J. Biol. Databases Curation
Elena Denisenko, Daniel Ho, Ousman Tamgue, Mumin Ozturk, Harukazu Suzuki, Frank Brombacher, Reto Guler, Sebastian Schmeier
1995 — conf
The Impact of Information Technology on the Accountancy Profession in Hong Kong.
PACIS
Daniel Ho, Wing-hung Tam