usesLossFunction

P31982
predicate

Indicates that one entity employs a particular loss function as part of its optimization or learning process.

Try in SPARQL

All labels observed (6)

Label Occurrences
usesLossFunction canonical 7
usesLossComponent 6
hasLossFunction 3

Description generation (PDg)

The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.

Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning.  
# Instructions
Focus on describing the relationship, not the entities themselves. 
# Response Format
Begin the description with \' Indicates...\'
Input
Predicate: usesLossFunction
Generated description
Indicates that one entity employs a particular loss function as part of its optimization or learning process.

Sample triples (21)

Subject Object
Atari deep Q-network temporal-difference error ⓘ
A3C policy loss via predicate surface "usesLossComponent" ⓘ
A3C value loss via predicate surface "usesLossComponent" ⓘ
A3C entropy regularization via predicate surface "usesLossComponent" ⓘ
Dueling DQN temporal-difference loss ⓘ
A2C policy loss via predicate surface "usesLossComponent" ⓘ
A2C value loss via predicate surface "usesLossComponent" ⓘ
A2C entropy regularization via predicate surface "usesLossComponent" ⓘ
Show and Tell: A Neural Image Caption Generator log-likelihood loss ⓘ
Wasserstein GAN Wasserstein loss ⓘ
Conditional GAN adversarial loss via predicate surface "typicalLossFunction" ⓘ
Conditional GAN cross-entropy loss via predicate surface "typicalLossFunction" ⓘ
Conditional GAN conditional log-likelihood surrogate via predicate surface "typicalLossFunction" ⓘ
Progressive GAN adversarial loss ⓘ
Mask R-CNN
linked to: MaskRCNN
classification loss via predicate surface "hasLossFunction" ⓘ
Mask R-CNN
linked to: MaskRCNN
bounding box regression loss via predicate surface "hasLossFunction" ⓘ
Mask R-CNN
linked to: MaskRCNN
mask loss via predicate surface "hasLossFunction" ⓘ
Laplace distribution corresponds to L1 loss in maximum likelihood estimation via predicate surface "lossFunctionConnection" ⓘ
Neural Fitted Q-Iteration
linked to: neural fitted Q-iteration (NFQ)
supervised regression loss ⓘ
Contrastive Predictive Coding InfoNCE loss ⓘ
linked to: Contrastive Predictive Coding
Relation Networks for few-shot learning mean squared error on relation scores via predicate surface "usesLoss" ⓘ