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This is the second year of the TREC Deep Learning Track, with the goal of studying ad hoc ranking in the large training data regime.
Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V Le · 1906
Earlier work this paper cites.
Umass at trec 2004: Novelty and hard
Nasreen Abdul-Jaleel, James Allan, W Bruce Croft, Fernando Diaz, Leah Larkey, Xiaoyan Li, Mark D Smucker, and Courtney Wade · 2004
Earlier work this paper cites.
Indri: A language model-based search engine for complex queries
Trevor Strohman, Donald Metzler, Howard Turtle, and W Bruce Croft · 2005
Earlier work this paper cites.
High accuracy retrieval with multiple nested ranker
Irina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, and Leon Wong · 2006
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson, Hugo Zaragoza, et al · 2009
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A cascade ranking model for efficient ranked retrieval
Lidan Wang, Jimmy Lin, and Donald Metzler · 2011
Earlier work this paper cites.
The arcade learning environment: An evaluation platform for general agents
Marc G Bellemare, Yavar Naddaf, Joel Veness, and Michael Bowling · 2013
Cited alongside, same era.
Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
Cited alongside, same era.
Ms marco: A human generated machine reading comprehension dataset
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, et al · 2016
Cited alongside, same era.
Off the beaten path: Let’s replace term-based retrieval with k-nn search
Leonid Boytsov, David Novak, Yury Malkov, and Eric Nyberg · 2016
Cited alongside, same era.
Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov · 2016
Cited alongside, same era.
Optimizing query evaluations using reinforcement learning for web search
Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, and Saurabh Tiwary · 2018
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From neural re-ranking to neural ranking: Learning a sparse representation for inverted indexing
Hamed Zamani, Mostafa Dehghani, W Bruce Croft, Erik Learned-Miller, and Jaap Kamps · 2018
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An updated duet model for passage re-ranking
Bhaskar Mitra and Nick Craswell · 2019
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Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, and Emine Yilmaz · 2019
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Learning to match using local and distributed representations of text for web search
Bhaskar Mitra, Fernando Diaz, and Nick Craswell · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Cited alongside, same era.
Critically examining the “neural hype”: Weak baselines and the additivity of effectiveness gains from neural ranking models
Wei Yang, Kuang Lu, Peilin Yang, and Jimmy Lin
Cited in the paper.
Rodrigo Nogueira, Wei Yang, Jimmy Lin, and Kyunghyun Cho · 2019
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Orcas: 18 million clicked query-document pairs for analyzing search
Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, and Bodo Billerbeck · 2020
Later among the works it cites.