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Publication search results
found 152 matches
- 2023
- Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023). SIGIR Forum 57(1): 8:1-8:5 (2023) - Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
ACM WSDM 2023 Report. SIGWEB Newsl. 2023(Spring): 1:1-1:6 (2023) - Flavio Chierichetti, Mirko Giacchini, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins:
Approximating a RUM from Distributions on k-Slates. AISTATS 2023: 4757-4767 - Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins:
Surprise: Result List Truncation via Extreme Value Theory. SIGIR 2023: 2404-2408 - Flavio Chierichetti, Mirko Giacchini, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins:
Approximating a RUM from Distributions on k-Slates. CoRR abs/2305.13283 (2023) - Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins:
Substance or Style: What Does Your Image Embedding Know? CoRR abs/2307.05610 (2023) - 2022
- K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins:
ACM WSDM 2022 report. SIGWEB Newsl. 2022(Summer): 1:1-1:6 (2022) - Martin Mladenov, Sanjay Ganapathy Subramaniam, Chih-Wei Hsu, Neha Arora, Andrew Tomkins, Craig Boutilier, Carolina Osorio:
An adversarial variational inference approach for travel demand calibration of urban traffic simulators. SIGSPATIAL/GIS 2022: 6:1-6:4 - Matteo Almanza, Flavio Chierichetti, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins:
RUMs from Head-to-Head Contests. ICML 2022: 452-467 - 2021
- Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan:
Adversarial Robustness Across Representation Spaces. CVPR 2021: 7608-7616 - Flavio Chierichetti, Ravi Kumar, Andrew Tomkins:
Light RUMs. ICML 2021: 1888-1897 - Dara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins:
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. WSDM 2021: 301-309 - Chun-Ta Lu, Yun Zeng, Da-Cheng Juan, Yicheng Fan, Zhe Li, Jan Dlabal, Yi-Ting Chen, Arjun Gopalan, Allan Heydon, Chun-Sung Ferng, Reah Miyara, Ariel Fuxman, Futang Peng, Zhen Li, Tom Duerig, Andrew Tomkins:
CARLS: Cross-platform Asynchronous Representation Learning System. CoRR abs/2105.12849 (2021) - Neha Arora, Yi-Fan Chen, Sanjay Ganapathy, Yechen Li, Ziheng Lin, Carolina Osorio, Andrew Tomkins, Iveel Tsogsuren:
An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models. CoRR abs/2109.11392 (2021) - Neha Arora, Theophile Cabannes, Sanjay Ganapathy, Yechen Li, Preston McAfee, Marc Nunkesser, Carolina Osorio, Andrew Tomkins, Iveel Tsogsuren:
Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City. CoRR abs/2111.03426 (2021) - 2020
- Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins:
Reverse Engineering Configurations of Neural Text Generation Models. ACL 2020: 275-279 - Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu:
BusTr: Predicting Bus Travel Times from Real-Time Traffic. KDD 2020: 3243-3251 - Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins:
Choppy: Cut Transformer for Ranked List Truncation. SIGIR 2020: 1513-1516 - Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Ultra Fine-Grained Image Semantic Embedding. WSDM 2020: 277-285 - Flavio Chierichetti, Ravi Kumar, Andrew Tomkins:
Asymptotic Behavior of Sequence Models. WWW 2020: 2824-2830 - Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins:
Reverse Engineering Configurations of Neural Text Generation Models. CoRR abs/2004.06201 (2020) - Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins:
Choppy: Cut Transformer For Ranked List Truncation. CoRR abs/2004.13012 (2020) - Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu:
BusTr: Predicting Bus Travel Times from Real-Time Traffic. CoRR abs/2007.00882 (2020) - Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Cliff Brunk, Andrew Tomkins:
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. CoRR abs/2008.13533 (2020) - Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins:
Surprise: Result List Truncation via Extreme Value Theory. CoRR abs/2010.09797 (2020) - Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan:
Adversarial Robustness Across Representation Spaces. CoRR abs/2012.00802 (2020) - Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins:
Graph Autoencoders with Deconvolutional Networks. CoRR abs/2012.11898 (2020) - 2019
- Krishnamurthy Viswanathan, Sushant Sachdeva, Andrew Tomkins, Sujith Ravi:
Improved Semi-Supervised Learning with Multiple Graphs. AISTATS 2019: 3032-3041 - Neha Arora, James Cook, Ravi Kumar, Ivan Kuznetsov, Yechen Li, Huai-Jen Liang, Andrew Miller, Andrew Tomkins, Iveel Tsogsuren, Yi Wang:
Hard to Park?: Estimating Parking Difficulty at Scale. KDD 2019: 2296-2304 - Otilia Stretcu, Krishnamurthy Viswanathan, Dana Movshovitz-Attias, Emmanouil A. Platanios, Sujith Ravi, Andrew Tomkins:
Graph Agreement Models for Semi-Supervised Learning. NeurIPS 2019: 8710-8720
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