diff --git a/src/explainers/aggregators/aggregators.py b/src/explainers/aggregators/aggregators.py
deleted file mode 100644
index 0d36b6b4..00000000
--- a/src/explainers/aggregators/aggregators.py
+++ /dev/null
@@ -1,43 +0,0 @@
-from abc import ABC, abstractmethod
-
-import torch
-
-
-class ExplanationsAggregator(ABC):
-    def __init__(self, training_size: int, *args, **kwargs):
-        self.scores = torch.zeros(training_size)
-
-    @abstractmethod
-    def update(self, explanations: torch.Tensor):
-        raise NotImplementedError
-
-    def reset(self, *args, **kwargs):
-        """
-        Used to reset the aggregator state.
-        """
-        self.scores = torch.zeros_like(self.scores)
-
-    def load_state_dict(self, state_dict: dict, *args, **kwargs):
-        """
-        Used to load the aggregator state.
-        """
-        self.scores = state_dict["scores"]
-
-    def state_dict(self, *args, **kwargs):
-        """
-        Used to return the metric state.
-        """
-        return {"scores": self.scores}
-
-    def compute(self) -> torch.Tensor:
-        return self.scores.argsort()
-
-
-class SumAggregator(ExplanationsAggregator):
-    def update(self, explanations: torch.Tensor) -> torch.Tensor:
-        self.scores += explanations.sum(dim=0)
-
-
-class AbsSumAggregator(ExplanationsAggregator):
-    def update(self, explanations: torch.Tensor) -> torch.Tensor:
-        self.scores += explanations.abs().sum(dim=0)
diff --git a/src/explainers/base.py b/src/explainers/base.py
index 5a8e9f69..d29123e0 100644
--- a/src/explainers/base.py
+++ b/src/explainers/base.py
@@ -1,5 +1,5 @@
 from abc import ABC, abstractmethod
-from typing import Optional, Union
+from typing import List, Optional, Union
 
 import torch
 
@@ -23,7 +23,7 @@ def __init__(
         self.model.to(dev)
 
     @abstractmethod
-    def explain(self, test: torch.Tensor, **kwargs):
+    def explain(self, test: torch.Tensor, targets: Union[List[int], torch.Tensor, None], **kwargs):
         raise NotImplementedError
 
     @abstractmethod
diff --git a/tests/explainers/aggregators/test_aggregators.py b/tests/explainers/aggregators/test_aggregators.py
deleted file mode 100644
index cfab2355..00000000
--- a/tests/explainers/aggregators/test_aggregators.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import pytest
-import torch
-
-from src.explainers.aggregators.aggregators import (
-    AbsSumAggregator,
-    SumAggregator,
-)
-
-
-@pytest.mark.aggregators
-@pytest.mark.parametrize(
-    "test_id, dataset, explanations",
-    [
-        (
-            "mnist",
-            "load_mnist_dataset",
-            "load_mnist_explanations_1",
-        ),
-    ],
-)
-def test_sum_aggregator(test_id, dataset, explanations, request):
-    dataset = request.getfixturevalue(dataset)
-    explanations = request.getfixturevalue(explanations)
-    aggregator = SumAggregator(training_size=len(dataset))
-    aggregator.update(explanations)
-    global_rank = aggregator.compute()
-    assert torch.allclose(global_rank, explanations.sum(dim=0).argsort())
-
-
-@pytest.mark.aggregators
-@pytest.mark.parametrize(
-    "test_id, dataset, explanations",
-    [
-        (
-            "mnist",
-            "load_mnist_dataset",
-            "load_mnist_explanations_1",
-        ),
-    ],
-)
-def test_abs_aggregator(test_id, dataset, explanations, request):
-    dataset = request.getfixturevalue(dataset)
-    explanations = request.getfixturevalue(explanations)
-    aggregator = AbsSumAggregator(training_size=len(dataset))
-    aggregator.update(explanations)
-    global_rank = aggregator.compute()
-    assert torch.allclose(global_rank, explanations.abs().mean(dim=0).argsort())