usesLossFunction
P31982
predicate
Indicates that one entity employs a particular loss function as part of its optimization or learning process.
All labels observed (6)
| Label | Occurrences |
|---|---|
| usesLossFunction canonical | 7 |
| usesLossComponent | 6 |
| hasLossFunction | 3 |
| typicalLossFunction | 3 |
| lossFunctionConnection | 1 |
| usesLoss | 1 |
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 ⓘ |
|
MaskRCNN
surface form:
Mask R-CNN
|
classification loss via predicate surface "hasLossFunction" ⓘ |
|
MaskRCNN
surface form:
Mask R-CNN
|
bounding box regression loss via predicate surface "hasLossFunction" ⓘ |
|
MaskRCNN
surface form:
Mask R-CNN
|
mask loss via predicate surface "hasLossFunction" ⓘ |
| Laplace distribution | corresponds to L1 loss in maximum likelihood estimation via predicate surface "lossFunctionConnection" ⓘ |
|
neural fitted Q-iteration (NFQ)
surface form:
Neural Fitted Q-Iteration
|
supervised regression loss ⓘ |
| Contrastive Predictive Coding | InfoNCE loss NERFINISHED ⓘ |
| Relation Networks for few-shot learning | mean squared error on relation scores via predicate surface "usesLoss" ⓘ |