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Conformer-Kernel with Query Term Independence for Document Retrieval

Conformer-Kernel with Query Term Independence for Document Retrieval

20 July 2020
Bhaskar Mitra
Sebastian Hofstatter
Hamed Zamani
Nick Craswell
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Papers citing "Conformer-Kernel with Query Term Independence for Document Retrieval"

10 / 10 papers shown
Title
Intra-Document Cascading: Learning to Select Passages for Neural
  Document Ranking
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
Sebastian Hofstatter
Bhaskar Mitra
Hamed Zamani
Nick Craswell
Allan Hanbury
14
43
0
20 May 2021
TREC Deep Learning Track: Reusable Test Collections in the Large Data
  Regime
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
E. Voorhees
I. Soboroff
12
51
0
19 Apr 2021
Exploring Classic and Neural Lexical Translation Models for Information
  Retrieval: Interpretability, Effectiveness, and Efficiency Benefits
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits
Leonid Boytsov
Zico Kolter
6
11
0
12 Feb 2021
Neural Methods for Effective, Efficient, and Exposure-Aware Information
  Retrieval
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval
Bhaskar Mitra
17
5
0
21 Dec 2020
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning
  Track
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track
Bhaskar Mitra
Sebastian Hofstatter
Hamed Zamani
Nick Craswell
6
4
0
14 Nov 2020
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
239
611
0
13 Oct 2020
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search
Nick Craswell
Daniel Fernando Campos
Bhaskar Mitra
Emine Yilmaz
B. Billerbeck
11
80
0
09 Jun 2020
Overview of the TREC 2019 deep learning track
Overview of the TREC 2019 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
E. Voorhees
180
465
0
17 Mar 2020
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
243
580
0
12 Mar 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,821
0
17 Sep 2019
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