Learned sparse retrieval or sparse neural search is an approach to Information Retrieval which uses a sparse vector representation of queries and documents...

LLC episode) "Deep Impact", a song by Dragon Ash DeepImpact, a learned sparse retrieval algorithm Impact event This disambiguation page lists articles...

Expansion via Prediction of Importance with Contextualization, a learned sparse retrieval algorithm Ecliptic Plane Input Catalog, a database of stars and...

passage retrieval using contextualized embeddings, was introduced at SIGIR 2020. 2021: SPLADE is introduced at SIGIR 2021. It’s a sparse neural retrieval model...

exist which aim to make the learned representations assume useful properties. Examples are regularized autoencoders (sparse, denoising and contractive...

image classification or retrieval, by treating image features as words. In document classification, a bag of words is a sparse vector of occurrence counts...

(rendered through traditional non-learned methods) and respective camera poses are reproducible and error-free. For each sparse viewpoint (image and camera...

values close to 0 represent very dissimilar documents. An information retrieval technique using latent semantic structure was patented in 1988 by Scott...

Ramamurthy, U., & Franklin, S. 2005. Encoding and Retrieval Efficiency of Episodic Data in a Modified Sparse Distributed Memory System. In Proceedings of the...

learned representation is low-dimensional. Sparse coding algorithms attempt to do so under the constraint that the learned representation is sparse,...

"system prompt". Retrieval-augmented generation (RAG) is an approach that enhances LLMs by integrating them with document retrieval systems. Given a query...

tables are used in data storage and retrieval applications to access data in a small and nearly constant time per retrieval. They require an amount of storage...

development in information retrieval. New York: Association for Computing Machinery. pp. 267–273. Eggert, J.; Korner, E. (2004). "Sparse coding and NMF". 2004...

storage, holographic associative memory (HAM) is an information storage and retrieval system based on the principles of holography. Holograms are made by using...

called Mahalanobis distance. Similarity learning is used in information retrieval for learning to rank, in face verification or face identification, and...

ABOUDIB, Ala; GRIPON, Vincent; JIANG, Xiaoran (2014). "A study of retrieval algorithms of sparse messages in networks of neural cliques". COGNITIVE 2014 : The...

makes the weight vectors sparse during optimization. In other words, neurons with L1 regularization end up using only a sparse subset of their most important...

best-matching items are recommended. This approach has its roots in information retrieval and information filtering research. To create a user profile, the system...

childhood memory includes topics such as childhood memory formation and retrieval mechanisms in relation to those in adults, controversies surrounding infantile...

processing, directed forgetting, retrieval-induced forgetting, testing effect, metacognition, generation effect, sparse-distributed memory, false balance...

search-and-destroy mission to Mars, with UAC only concerned with the retrieval of computer data from their anthropology, archeology, and genetics experiments...

Matching pursuit (MP) is a sparse approximation algorithm which finds the "best matching" projections of multidimensional data onto the span of an over-complete...

network. Topic modeling is a classic solution to the problem of information retrieval using linked data and semantic web technology. Related models and techniques...

conceptual priming. Studies concerning implicit memory in M-LFA individuals are sparse, and further study is needed. As mentioned above, there are very few reliable...

in experience and dependent on culture. New concepts are learned by applying knowledge learned from things in the past. Semantic memory is distinct from...

2023-03-09. "Language modelling at scale: Gopher, ethical considerations, and retrieval". www.deepmind.com. 8 December 2021. Archived from the original on 20...

Zeng, Daniel (1 January 2004). "Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering". ACM Transactions...

2013. Doody, J. S. (2009). "Eyes bigger than stomach: prey caching and retrieval in the saltwater crocodile, Crocodylus porosus". Herpetological Review...

best results for constituency parsing, sentiment analysis, information retrieval, spoken language understanding, machine translation, contextual entity...

&auswahlziel=werteabruf&code=12411-0001&auswahltext=&werteabruf=Value+retrieval#abreadcrumb Deutsches Statistisches Bundesambt Genesis online, visited...