• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 70 matches

• 2024
• 
  Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar:
  SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection. CoRR abs/2401.13160 (2024)
• 2023
• 
  Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
  CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83: 102628 (2023)
• 2022
• 
  Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler:
  Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption. ICLR 2022
• 
  Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh:
  Churn Reduction via Distillation. ICLR 2022
• 
  Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
  Grounding Aleatoric Uncertainty for Unsupervised Environment Design. NeurIPS 2022
• 
  Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
  CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR abs/2201.02831 (2022)
• 
  Taman Narayan, Heinrich Jiang, Sen Zhao, Sanjiv Kumar:
  Predicting on the Edge: Identifying Where a Larger Model Does Better. CoRR abs/2202.07652 (2022)
• 
  Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski:
  Insights From the NeurIPS 2021 NetHack Challenge. CoRR abs/2203.11889 (2022)
• 
  Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
  Grounding Aleatoric Uncertainty in Unsupervised Environment Design. CoRR abs/2207.05219 (2022)
• 
  Dara Bahri, Heinrich Jiang, Tal Schuster, Afshin Rostamizadeh:
  Is margin all you need? An extensive empirical study of active learning on tabular data. CoRR abs/2210.03822 (2022)
• 2021
• 
  Aldo Pacchiano, Heinrich Jiang, Michael I. Jordan:
  Robustness Guarantees for Mode Estimation with an Application to Bandits. AAAI 2021: 9277-9284
• 
  Heinrich Jiang, Qijia Jiang, Aldo Pacchiano:
  Learning the Truth From Only One Side of the Story. AISTATS 2021: 2413-2421
• 
  Aldo Pacchiano, Mohammad Ghavamzadeh, Peter L. Bartlett, Heinrich Jiang:
  Stochastic Bandits with Linear Constraints. AISTATS 2021: 2827-2835
• 
  Jennifer Jang, Heinrich Jiang:
  MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking. CVPR 2021: 4102-4113
• 
  Dara Bahri, Heinrich Jiang:
  Locally Adaptive Label Smoothing Improves Predictive Churn. ICML 2021: 532-542
• 
  Heinrich Jiang, Afshin Rostamizadeh:
  Active Covering. ICML 2021: 5013-5022
• 
  Heinrich Jiang, Maya R. Gupta:
  Bootstrapping for Batch Active Sampling. KDD 2021: 3086-3096
• 
  Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski:
  Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) 2021: 41-52
• 
  Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel:
  MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. NeurIPS Datasets and Benchmarks 2021
• 
  Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler:
  Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection. CoRR abs/2102.05131 (2021)
• 
  Dara Bahri, Heinrich Jiang:
  Locally Adaptive Label Smoothing for Predictive Churn. CoRR abs/2102.05140 (2021)
• 
  Jennifer Jang, Heinrich Jiang:
  MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking. CoRR abs/2104.00303 (2021)
• 
  Heinrich Jiang, Afshin Rostamizadeh:
  Active Covering. CoRR abs/2106.02552 (2021)
• 
  Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh:
  Churn Reduction via Distillation. CoRR abs/2106.02654 (2021)
• 
  Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler:
  SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption. CoRR abs/2106.15147 (2021)
• 
  Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel:
  MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. CoRR abs/2109.13202 (2021)
• 2020
• 
  Silvia Chiappa, Ray Jiang, Tom Stepleton, Aldo Pacchiano, Heinrich Jiang, John Aslanides:
  A General Approach to Fairness with Optimal Transport. AAAI 2020: 3633-3640
• 
  Heinrich Jiang, Ofir Nachum:
  Identifying and Correcting Label Bias in Machine Learning. AISTATS 2020: 702-712
• 
  Dara Bahri, Heinrich Jiang, Maya R. Gupta:
  Deep k-NN for Noisy Labels. ICML 2020: 540-550
• 
  Heinrich Jiang, Jennifer Jang, Jakub Lacki:
  Faster DBSCAN via subsampled similarity queries. NeurIPS 2020

skipping 40 more matches