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20122024
most citedImaging Time-Series to Improve Classification and Imputation

482 citations · 605 across the 17 of their papers we have counts for

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12 papers · 1 filter

cs.LG2023

cuSLINK: Single-linkage Agglomerative Clustering on the GPU

Corey J. Nolet, Divye Gala, Alex Fender +6

In this paper, we propose cuSLINK, a novel and state-of-the-art reformulation of the SLINK algorithm on the GPU which requires only space and uses a parameter to trade…

cs.LG20231 cited

Recasting Self-Attention with Holographic Reduced Representations

Mohammad Mahmudul Alam, Edward Raff, Stella Biderman +2

In recent years, self-attention has become the dominant paradigm for sequence modeling in a variety of domains. However, in domains with very long sequence lengths the $\mathcal{O}…

cs.LG2022

Lempel-Ziv Networks

Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz +3

Sequence processing has long been a central area of machine learning research. Recurrent neural nets have been successful in processing sequences for a number of tasks; however, th…

cs.LG20225 cited

Towards an Interpretable Hierarchical Agent Framework using Semantic Goals

Bharat Prakash, Nicholas Waytowich, Tim Oates +1

Learning to solve long horizon temporally extended tasks with reinforcement learning has been a challenge for several years now. We believe that it is important to leverage both th…

cs.LG2020

Bringing UMAP Closer to the Speed of Light with GPU Acceleration

Corey J. Nolet, Victor Lafargue, Edward Raff +4

The Uniform Manifold Approximation and Projection (UMAP) algorithm has become widely popular for its ease of use, quality of results, and support for exploratory, unsupervised, sup…

cs.LG2020

Locality Preserving Loss: Neighbors that Live together, Align together

Ashwinkumar Ganesan, Francis Ferraro, Tim Oates

We present a locality preserving loss (LPL) that improves the alignment between vector space embeddings while separating uncorrelated representations. Given two pretrained embeddin…