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Found 7 papers, 4 papers with code
BarcodeBERT: Transformers for Biodiversity Analysis
Understanding biodiversity is a global challenge, in which DNA barcodes - short snippets of DNA that cluster by species - play a pivotal role.
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-Insect Dataset.
Echofilter: A Deep Learning Segmentation Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy Streams
Application of a single conventional algorithm to identify the depth-of-penetration of entrained air is insufficient for a boundary that is discontinuous, depth-dynamic, porous, and varies with tidal flow speed.
LogAvgExp Provides a Principled and Performant Global Pooling Operator
We seek to improve the pooling operation in neural networks, by applying a more theoretically justified operator.
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
Consequently, we construct efficient approximations named $\text{AND}_\text{AIL}$ (the AND operator Approximate for Independent Logits), $\text{OR}_\text{AIL}$, and $\text{XNOR}_\text{AIL}$, which utilize only comparison and addition operations, have well-behaved gradients, and can be deployed as activation functions in neural networks.
Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test
Here we re-considered the human and machine experiments, because they followed different protocols and yielded different statistics.
Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls
Performance RNN is a machine-learning system designed primarily for the generation of solo piano performances using an event-based (rather than audio) representation.
