• UTV

  • Referenced in 250 articles [sw05213]
  • handle interference-type problems with a rank-deficient covariance matrix, and we provide a robust ... signal processing, optimization and LSI information retrieval...
  • AFGen

  • Referenced in 17 articles [sw06325]
  • context of SVM-based classification and ranked-retrieval show that these descriptors consistently and statistically...
  • XSEarch

  • Referenced in 28 articles [sw12180]
  • query. Query answers are ranked using extended information-retrieval techniques and are generated...
  • svdpack

  • Referenced in 60 articles [sw04819]
  • compute large rank approximations to sparse term-document matrices from information retrieval applications. Future updates...
  • ColBERT

  • Referenced in 1 article [sw37760]
  • Retrieval (IR), largely owed to fine-tuning deep language models (LMs) for document ranking. While ... novel ranking model that adapts deep LMs (in particular, BERT) for efficient retrieval. ColBERT introduces ... reducing the cost of re-ranking the documents retrieved by a traditional model, ColBERT...
  • Swoogle

  • Referenced in 14 articles [sw25441]
  • documents are also indexed by an information retrieval system which can use either character ... interesting properties we compute is ontology rank, a measure of the importance of a Semantic...
  • PL-ranking

  • Referenced in 1 article [sw28415]
  • ranking: A Novel Ranking Method for Cross-Modal Retrieval. This paper proposes ... novel method for cross-modal retrieval named Pairwise-Listwise ranking (PL-ranking) based...
  • CLiMF

  • Referenced in 3 articles [sw33326]
  • Mean Reciprocal Rank (MRR), which is a well-known information retrieval metric for measuring ... lower bound of the smoothed reciprocal rank metric. Experiments on two social network datasets demonstrate...
  • MatLM

  • Referenced in 1 article [sw28483]
  • widely used in Information Retrieval (IR) to rank documents by the probability that they generate...
  • Pyserini

  • Referenced in 1 article [sw37741]
  • providing effective first-stage retrieval in a multi-stage ranking architecture. Our toolkit is self ... improving ranking with modern neural approaches. In particular, Pyserini supports sparse retrieval (e.g., BM25 scoring ... transformer-encoded representations), as well as hybrid retrieval that integrates both approaches. This paper provides ... that illustrate its effectiveness on two popular ranking tasks. We also describe how our group...
  • PolySearch

  • Referenced in 1 article [sw16755]
  • text mining and information retrieval to identify, highlight and rank informative abstracts, paragraphs or sentences...
  • Capreolus

  • Referenced in 1 article [sw37762]
  • retrieval experiments with neural networks by providing implementations of prominent neural ranking models within ... TREC 2004 Robust Track, many neural retrieval models do not significantly outperform a strong query ... interface to facilitate comparisons between rankings returned by different models...
  • RankQA

  • Referenced in 1 article [sw34398]
  • RankQA: Neural Question Answering with Answer Re-Ranking. The conventional paradigm in neural question answering ... stage process: first, relevant text passages are retrieved and, subsequently, a neural network for machine ... stage that performs an additional answer re-ranking. The re-ranking leverages different features that ... pipeline, i.e., a combination of retrieval and comprehension features. While our intentionally simple design allows...
  • Birch

  • Referenced in 2 articles [sw34399]
  • integration with the open-source Anserini information retrieval toolkit to demonstrate end-to-end search ... over large document collections. Birch implements simple ranking models that achieve state ... Java Virtual Machine (to support document retrieval using the open-source Lucene search library...
  • XSnippet

  • Referenced in 5 articles [sw21710]
  • snippets to various degrees of context-sensitive retrieval for object instantiation queries. Second, a novel ... method boundaries. Third, an innovative context-sensitive ranking heuristic is provided that has been experimentally...
  • RAG

  • Referenced in 1 article [sw21205]
  • ranked by topological complexity. Conclusions: RAG’s quantitative cataloguing allows facile retrieval of all classes...
  • TensorBox

  • Referenced in 1 article [sw35869]
  • decomposition; Tensor deconvolution; Tensor train decomposition; Best rank-1 tensor approximation; Tensor decomposition with given ... denoising problem); Application for BSS, harmonic retrieval, image denoising, image completion, dictionary learning...
  • Exemplar

  • Referenced in 0 articles [sw27507]
  • MIME, datasets), Exemplar retrieves applications that implement these concepts. Exemplar ranks applications in three ways...
  • PyGaggle

  • Referenced in 1 article [sw37764]
  • gaggle of deep neural architectures for text ranking and question answering. It was designed ... rerankers for MS MARCO Passage Retrieval, MS MARCO Document Retrieval, TREC-COVID and CovidQA...
  • Person_reID_baseline_pytorch

  • Referenced in 1 article [sw32893]
  • identification(CVPR19), Beyond Part Models: Person Retrieval with Refined Part Pooling(ECCV18), Camera Style Adaptation ... Person Re-identification(CVPR18). We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss...