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ContinualStrategy

trustformers_models::continual_learning

Enum ContinualStrategy 

Source 
pub enum ContinualStrategy {
    ElasticWeightConsolidation {
        lambda: f32,
        fisher_samples: usize,
    },
    OnlineElasticWeightConsolidation {
        lambda: f32,
        gamma: f32,
        fisher_samples: usize,
    },
    SynapticIntelligence {
        c: f32,
        xi: f32,
    },
    LearningWithoutForgetting {
        lambda: f32,
        temperature: f32,
    },
    ProgressiveNeuralNetworks {
        lateral_connections: bool,
        adapter_layers: bool,
    },
    PackNet {
        prune_ratio: f32,
        retrain_epochs: usize,
    },
    ExperienceReplay {
        memory_strength: f32,
        replay_batch_size: usize,
    },
    GradientEpisodicMemory {
        memory_strength: f32,
        constraint_violation_threshold: f32,
    },
    AveragedGradientEpisodicMemory {
        memory_strength: f32,
        replay_batch_size: usize,
    },
    MetaExperienceReplay {
        beta: f32,
        gamma: f32,
        replay_steps: usize,
    },
    L2Regularization {
        lambda: f32,
    },
    VariationalContinualLearning {
        kl_weight: f32,
        prior_precision: f32,
    },
}
Expand description

Different continual learning strategies

Variants§

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ElasticWeightConsolidation

Elastic Weight Consolidation (EWC)

Fields

§lambda: f32
§fisher_samples: usize
§

OnlineElasticWeightConsolidation

Online EWC

Fields

§lambda: f32
§gamma: f32
§fisher_samples: usize
§

SynapticIntelligence

Synaptic Intelligence (SI)

Fields

§c: f32
§xi: f32
§

LearningWithoutForgetting

Learning without Forgetting (LwF)

Fields

§lambda: f32
§temperature: f32
§

ProgressiveNeuralNetworks

Progressive Neural Networks

Fields

§lateral_connections: bool
§adapter_layers: bool
§

PackNet

PackNet

Fields

§prune_ratio: f32
§retrain_epochs: usize
§

ExperienceReplay

Experience Replay

Fields

§memory_strength: f32
§replay_batch_size: usize
§

GradientEpisodicMemory

Gradient Episodic Memory (GEM)

Fields

§memory_strength: f32
§constraint_violation_threshold: f32
§

AveragedGradientEpisodicMemory

Averaged Gradient Episodic Memory (A-GEM)

Fields

§memory_strength: f32
§replay_batch_size: usize
§

MetaExperienceReplay

Meta-Experience Replay (MER)

Fields

§beta: f32
§gamma: f32
§replay_steps: usize
§

L2Regularization

L2 Regularization (simple baseline)

Fields

§lambda: f32
§

VariationalContinualLearning

Dropout-based approaches

Fields

§kl_weight: f32
§prior_precision: f32

Trait Implementations§

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impl Clone for ContinualStrategy

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fn clone(&self) -> ContinualStrategy

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for ContinualStrategy

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl<'de> Deserialize<'de> for ContinualStrategy

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl Serialize for ContinualStrategy

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fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more

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