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Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant
  Representations

Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations

14 October 2021
Ji Xin
Chenyan Xiong
A. Srinivasan
Ankita Sharma
Damien Jose
Paul N. Bennett
    VLM
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Papers citing "Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations"

4 / 4 papers shown
Title
BERM: Training the Balanced and Extractable Representation for Matching
  to Improve Generalization Ability of Dense Retrieval
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval
Shicheng Xu
Liang Pang
Huawei Shen
Xueqi Cheng
8
11
0
18 May 2023
Unsupervised Domain Adaptation for Sparse Retrieval by Filling
  Vocabulary and Word Frequency Gaps
Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps
Hiroki Iida
Naoaki Okazaki
18
4
0
08 Nov 2022
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
229
961
0
17 Apr 2021
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for
  Open-Domain Question Answering
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
Yingqi Qu
Yuchen Ding
Jing Liu
Kai Liu
Ruiyang Ren
Xin Zhao
Daxiang Dong
Hua-Hong Wu
Haifeng Wang
RALM
OffRL
206
593
0
16 Oct 2020
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