482 citations · 605 across the 17 of their papers we have counts for
12 papers · 1 filter
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…
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}…
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…
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…
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…
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…