logits commited on
Commit
9957cd7
·
1 Parent(s): c260713

Update leaderboard

Browse files
Files changed (3) hide show
  1. app.py +4 -4
  2. constants.py +5 -3
  3. data.csv +106 -63
app.py CHANGED
@@ -31,13 +31,13 @@ def get_data(verified, dataset, ipc, label_type, metric_weights=None):
31
  data["score"] = data[METRICS[0].lower()] * 0.0
32
  for i, metric in enumerate(METRICS):
33
  data["score"] += data[metric.lower()] * metric_weights[i] * METRICS_SIGN[i]
34
- data["score"] = (np.exp(-0.01 * data["score"]) - np.exp(-1.0)) / (np.exp(1.0) - np.exp(-1.0))
35
  data = data.sort_values(by="score", ascending=False)
36
  data["ranking"] = range(1, len(data) + 1)
37
 
38
  for metric in METRICS:
39
  data[metric.lower()] = data[metric.lower()].apply(lambda x: round(x, 3))
40
- data["score"] = data["score"].apply(lambda x: round(x, 3))
41
 
42
  # formatting
43
  data["method"] = "[" + data["method"] + "](" + data["method_reference"] + ")"
@@ -45,9 +45,9 @@ def get_data(verified, dataset, ipc, label_type, metric_weights=None):
45
  data = data.drop(columns=["method_reference", "dataset", "ipc"])
46
  data = data[['ranking', 'method', 'verified', 'date', 'label_type', 'hlr', 'ior', 'score']]
47
  if label_type == "Hard Label":
48
- data = data.rename(columns={"ranking": "Ranking", "method": "Method", "date": "Date", "label_type": "Label Type", "hlr": "HLR%↓", "ior": "IOR%↑", "score": "DDRS↑", "verified": "Verified"})
49
  else:
50
- data = data.rename(columns={"ranking": "Ranking", "method": "Method", "date": "Date", "label_type": "Label Type", "hlr": "HLR%↓", "ior": "IOR%↑", "score": "DDRS↑", "verified": "Verified"})
51
  return data
52
 
53
 
 
31
  data["score"] = data[METRICS[0].lower()] * 0.0
32
  for i, metric in enumerate(METRICS):
33
  data["score"] += data[metric.lower()] * metric_weights[i] * METRICS_SIGN[i]
34
+ data["score"] = 100 * (np.exp(-0.01 * data["score"]) - np.exp(-1.0)) / (np.exp(1.0) - np.exp(-1.0))
35
  data = data.sort_values(by="score", ascending=False)
36
  data["ranking"] = range(1, len(data) + 1)
37
 
38
  for metric in METRICS:
39
  data[metric.lower()] = data[metric.lower()].apply(lambda x: round(x, 3))
40
+ data["score"] = data["score"].apply(lambda x: round(x, 1))
41
 
42
  # formatting
43
  data["method"] = "[" + data["method"] + "](" + data["method_reference"] + ")"
 
45
  data = data.drop(columns=["method_reference", "dataset", "ipc"])
46
  data = data[['ranking', 'method', 'verified', 'date', 'label_type', 'hlr', 'ior', 'score']]
47
  if label_type == "Hard Label":
48
+ data = data.rename(columns={"ranking": "Ranking", "method": "Method", "date": "Date", "label_type": "Label Type", "hlr": "HLR%↓", "ior": "IOR%↑", "score": "LRS%↑", "verified": "Verified"})
49
  else:
50
+ data = data.rename(columns={"ranking": "Ranking", "method": "Method", "date": "Date", "label_type": "Label Type", "hlr": "HLR%↓", "ior": "IOR%↑", "score": "LRS%↑", "verified": "Verified"})
51
  return data
52
 
53
 
constants.py CHANGED
@@ -79,24 +79,26 @@ $\\text{HLR} = \\text{Acc.} \\text{full-hard} - \\text{Acc.} \\text{syn-hard}$:
79
  $\\text{IOR} = \\text{Acc.} \\text{syn-any} - \\text{Acc.} \\text{rdm-any}$: The improvement over random selection when using personalized evaluation methods (improvement over random).
80
  """
81
 
82
- DATASET_LIST = ["CIFAR-10", "CIFAR-100", "Tiny-ImageNet"]
83
  IPC_LIST = ["IPC-1", "IPC-10", "IPC-50"]
84
  DATASET_IPC_LIST = {
85
  "CIFAR-10": ["IPC-1", "IPC-10", "IPC-50"],
86
  "CIFAR-100": ["IPC-1", "IPC-10", "IPC-50"],
87
- "Tiny-ImageNet": ["IPC-1", "IPC-10"],
 
88
  }
89
  LABEL_TYPE_LIST = ["Hard Label", "Soft Label"]
90
 
91
  METRICS = ["HLR", "IOR"]
92
  METRICS_SIGN = [1.0, -1.0]
93
- COLUMN_NAMES = ["Ranking", "Method", "Verified", "Date", "Label Type", "HLR%", "IOR%", "DDRS"]
94
  DATA_TITLE_TYPE = ['number', 'markdown', 'markdown', 'markdown', 'markdown', 'number', 'number', 'number']
95
 
96
  DATASET_MAPPING = {
97
  "CIFAR-10": 0,
98
  "CIFAR-100": 1,
99
  "Tiny-ImageNet": 2,
 
100
  }
101
 
102
  IPC_MAPPING = {
 
79
  $\\text{IOR} = \\text{Acc.} \\text{syn-any} - \\text{Acc.} \\text{rdm-any}$: The improvement over random selection when using personalized evaluation methods (improvement over random).
80
  """
81
 
82
+ DATASET_LIST = ["CIFAR-10", "CIFAR-100", "Tiny-ImageNet", "ImageNet1K"]
83
  IPC_LIST = ["IPC-1", "IPC-10", "IPC-50"]
84
  DATASET_IPC_LIST = {
85
  "CIFAR-10": ["IPC-1", "IPC-10", "IPC-50"],
86
  "CIFAR-100": ["IPC-1", "IPC-10", "IPC-50"],
87
+ "Tiny-ImageNet": ["IPC-1", "IPC-10", "IPC-50"],
88
+ "ImageNet1K": ["IPC-1", "IPC-10", "IPC-50"],
89
  }
90
  LABEL_TYPE_LIST = ["Hard Label", "Soft Label"]
91
 
92
  METRICS = ["HLR", "IOR"]
93
  METRICS_SIGN = [1.0, -1.0]
94
+ COLUMN_NAMES = ["Ranking", "Method", "Verified", "Date", "Label Type", "HLR%", "IOR%", "LRS"]
95
  DATA_TITLE_TYPE = ['number', 'markdown', 'markdown', 'markdown', 'markdown', 'number', 'number', 'number']
96
 
97
  DATASET_MAPPING = {
98
  "CIFAR-10": 0,
99
  "CIFAR-100": 1,
100
  "Tiny-ImageNet": 2,
101
+ "ImageNet1K": 3,
102
  }
103
 
104
  IPC_MAPPING = {
data.csv CHANGED
@@ -1,71 +1,114 @@
1
  method,method_reference,verified,date,dataset,ipc,label_type,hlr,ior
2
- DC,https://arxiv.org/abs/2006.05929,1,2025-02-08,0,0,0,52.66,12.40
3
- DSA,https://arxiv.org/abs/2102.08259,1,2025-02-08,0,0,0,58.93,13.16
4
- DM,https://arxiv.org/abs/2110.04181,1,2025-02-08,0,0,0,61.37,8.73
5
- MTT,https://arxiv.org/abs/2203.11932,1,2025-02-08,0,0,0,42.21,27.62
6
- DATM,https://arxiv.org/abs/2310.05773,1,2025-02-08,0,0,1,,
7
- SRe2L,https://arxiv.org/abs/2306.13092,1,2025-02-08,0,0,1,69.86,-0.27
8
- RDED,https://arxiv.org/abs/2312.03526,1,2025-02-08,0,0,1,60.58,2.38
9
- D4M,https://arxiv.org/abs/2407.15138,1,2025-02-08,0,0,1,51.06,6.68
 
10
 
11
- DC,https://arxiv.org/abs/2006.05929,1,2025-02-08,0,1,0,36.70,18.54
12
- DSA,https://arxiv.org/abs/2102.08259,1,2025-02-08,0,1,0,35.14,19.62
13
- DM,https://arxiv.org/abs/2110.04181,1,2025-02-08,0,1,0,39.37,16.12
14
- MTT,https://arxiv.org/abs/2203.11932,1,2025-02-08,0,1,0,23.73,30.90
15
- DATM,https://arxiv.org/abs/2310.05773,1,2025-02-08,0,1,1,26.84,35.05
16
- SRe2L,https://arxiv.org/abs/2306.13092,1,2025-02-08,0,1,1,67.82,-5.77
17
- RDED,https://arxiv.org/abs/2312.03526,1,2025-02-08,0,1,1,50.65,1.11
18
- D4M,https://arxiv.org/abs/2407.15138,1,2025-02-08,0,1,1,39.88,9.12
 
19
 
20
- DC,https://arxiv.org/abs/2006.05929,1,2025-02-08,0,2,0,26.31,12.34
21
- DSA,https://arxiv.org/abs/2102.08259,1,2025-02-08,0,2,0,27.41,10.96
22
- DM,https://arxiv.org/abs/2110.04181,1,2025-02-08,0,2,0,25.06,12.66
23
- MTT,https://arxiv.org/abs/2203.11932,1,2025-02-08,0,2,0,16.52,20.52
24
- DATM,https://arxiv.org/abs/2310.05773,1,2025-02-08,0,2,1,18.89,23.89
25
- SRe2L,https://arxiv.org/abs/2306.13092,1,2025-02-08,0,2,1,62.85,-6.50
26
- RDED,https://arxiv.org/abs/2312.03526,1,2025-02-08,0,2,1,36.01,-1.55
27
- D4M,https://arxiv.org/abs/2407.15138,1,2025-02-08,0,2,1,26.98,6.57
 
28
 
29
- DC,https://arxiv.org/abs/2006.05929,1,2025-02-08,1,0,0,39.36,8.36
30
- DSA,https://arxiv.org/abs/2102.08259,1,2025-02-08,1,0,0,46.04,8.50
31
- DM,https://arxiv.org/abs/2110.04181,1,2025-02-08,1,0,0,48.04,6.13
32
- MTT,https://arxiv.org/abs/2203.11932,1,2025-02-08,1,0,0,35.21,16.66
33
- SRe2L,https://arxiv.org/abs/2306.13092,1,2025-02-08,1,0,1,52.69,-1.93
34
- RDED,https://arxiv.org/abs/2312.03526,1,2025-02-08,1,0,1,45.55,-0.52
35
- D4M,https://arxiv.org/abs/2407.15138,1,2025-02-08,1,0,1,30.86,9.99
 
 
36
 
37
- DC,https://arxiv.org/abs/2006.05929,1,2025-02-08,1,1,0,25.52,12.66
38
- DSA,https://arxiv.org/abs/2102.08259,1,2025-02-08,1,1,0,27.28,13.49
39
- DM,https://arxiv.org/abs/2110.04181,1,2025-02-08,1,1,0,30.09,10.72
40
- MTT,https://arxiv.org/abs/2203.11932,1,2025-02-08,1,1,0,18.01,20.68
41
- DATM,https://arxiv.org/abs/2310.05773,1,2025-02-08,1,1,1,26.98,18.43
42
- SRe2L,https://arxiv.org/abs/2306.13092,1,2025-02-08,1,1,1,50.45,-14.86
43
- RDED,https://arxiv.org/abs/2312.03526,1,2025-02-08,1,1,1,37.46,-1.23
44
- D4M,https://arxiv.org/abs/2407.15138,1,2025-02-08,1,1,1,40.06,9.69
 
45
 
46
- DC,https://arxiv.org/abs/2006.05929,1,2025-02-08,1,2,0,21.77,1.11
47
- DSA,https://arxiv.org/abs/2102.08259,1,2025-02-08,1,2,0,21.19,2.02
48
- DM,https://arxiv.org/abs/2110.04181,1,2025-02-08,1,2,0,16.58,7.16
49
- MTT,https://arxiv.org/abs/2203.11932,1,2025-02-08,1,2,0,12.08,11.56
50
- DATM,https://arxiv.org/abs/2310.05773,1,2025-02-08,1,2,1,10.30,26.05
51
- SRe2L,https://arxiv.org/abs/2306.13092,1,2025-02-08,1,2,1,46.16,-13.55
52
- RDED,https://arxiv.org/abs/2312.03526,1,2025-02-08,1,2,1,27.32,-1.54
53
- D4M,https://arxiv.org/abs/2407.15138,1,2025-02-08,1,2,1,26.66,13.5
 
54
 
55
- DC,https://arxiv.org/abs/2006.05929,1,2025-02-08,2,0,0,28.61,2.90
56
- DSA,https://arxiv.org/abs/2102.08259,1,2025-02-08,2,0,0,36.26,2.67
57
- DM,https://arxiv.org/abs/2110.04181,1,2025-02-08,2,0,0,36.67,2.33
58
- MTT,https://arxiv.org/abs/2203.11932,1,2025-02-08,2,0,0,30.71,5.76
59
- DATM,https://arxiv.org/abs/2310.05773,1,2025-02-08,2,0,1,25.38,8.61
60
- SRe2L,https://arxiv.org/abs/2306.13092,1,2025-02-08,2,0,1,47.57,-3.99
61
- RDED,https://arxiv.org/abs/2312.03526,1,2025-02-08,2,0,1,34.67,2.38
62
- D4M,https://arxiv.org/abs/2407.15138,1,2025-02-08,2,0,1,35.92,-3.01
 
63
 
64
- DC,https://arxiv.org/abs/2006.05929,1,2025-02-08,2,1,0,21.53,7.14
65
- DSA,https://arxiv.org/abs/2102.08259,1,2025-02-08,2,1,0,26.33,6.77
66
- DM,https://arxiv.org/abs/2110.04181,1,2025-02-08,2,1,0,28.16,4.53
67
- MTT,https://arxiv.org/abs/2203.11932,1,2025-02-08,2,1,0,15.58,14.64
68
- DATM,https://arxiv.org/abs/2310.05773,1,2025-02-08,2,1,1,18.27,14.24
69
- SRe2L,https://arxiv.org/abs/2306.13092,1,2025-02-08,2,1,1,44.94,-12.95
70
- RDED,https://arxiv.org/abs/2312.03526,1,2025-02-08,2,1,1,25.94,1.81
71
- D4M,https://arxiv.org/abs/2407.15138,1,2025-02-08,2,1,1,40.60,-7.51
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  method,method_reference,verified,date,dataset,ipc,label_type,hlr,ior
2
+ DC,https://arxiv.org/abs/2006.05929,1,2025-05-30,0,0,0,52.7,12.4
3
+ DSA,https://arxiv.org/abs/2102.08259,1,2025-05-30,0,0,0,58.9,13.2
4
+ DM,https://arxiv.org/abs/2110.04181,1,2025-05-30,0,0,0,61.4,8.7
5
+ MTT,https://arxiv.org/abs/2203.11932,1,2025-05-30,0,0,0,42.2,27.6
6
+ DataDAM,https://arxiv.org/abs/2310.00093,1,2025-05-30,0,0,0,49.9,15.6
7
+ DATM,https://arxiv.org/abs/2310.05773,1,2025-05-30,0,0,1,41.9,30.8
8
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,0,0,1,69.9,-0.3
9
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,0,0,1,60.6,2.4
10
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,0,0,1,51.1,6.7
11
 
12
+ DC,https://arxiv.org/abs/2006.05929,1,2025-05-30,0,1,0,36.7,18.5
13
+ DSA,https://arxiv.org/abs/2102.08259,1,2025-05-30,0,1,0,35.1,19.6
14
+ DM,https://arxiv.org/abs/2110.04181,1,2025-05-30,0,1,0,39.3,16.1
15
+ MTT,https://arxiv.org/abs/2203.11932,1,2025-05-30,0,1,0,23.7,30.9
16
+ DataDAM,https://arxiv.org/abs/2310.00093,1,2025-05-30,0,1,0,34.8,19.9
17
+ DATM,https://arxiv.org/abs/2310.05773,1,2025-05-30,0,1,1,26.8,35.1
18
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,0,1,1,67.8,-5.7
19
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,0,1,1,50.7,1.1
20
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,0,1,1,39.9,9.1
21
 
22
+ DC,https://arxiv.org/abs/2006.05929,1,2025-05-30,0,2,0,26.3,12.3
23
+ DSA,https://arxiv.org/abs/2102.08259,1,2025-05-30,0,2,0,27.4,11.0
24
+ DM,https://arxiv.org/abs/2110.04181,1,2025-05-30,0,2,0,25.1,12.7
25
+ MTT,https://arxiv.org/abs/2203.11932,1,2025-05-30,0,2,0,16.5,20.5
26
+ DataDAM,https://arxiv.org/abs/2310.00093,1,2025-05-30,0,2,0,21.9,15.8
27
+ DATM,https://arxiv.org/abs/2310.05773,1,2025-05-30,0,2,1,18.9,23.9
28
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,0,2,1,62.9,-6.5
29
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,0,2,1,36.0,-1.6
30
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,0,2,1,27.0,6.6
31
 
32
+ DC,https://arxiv.org/abs/2006.05929,1,2025-05-30,1,0,0,39.4,8.4
33
+ DSA,https://arxiv.org/abs/2102.08259,1,2025-05-30,1,0,0,46.0,8.5
34
+ DM,https://arxiv.org/abs/2110.04181,1,2025-05-30,1,0,0,48.0,6.1
35
+ MTT,https://arxiv.org/abs/2203.11932,1,2025-05-30,1,0,0,35.2,16.7
36
+ DataDAM,https://arxiv.org/abs/2310.00093,1,2025-05-30,1,0,0,45.2,9.1
37
+ DATM,https://arxiv.org/abs/2310.05773,1,2025-05-30,1,0,1,24.1,18.5
38
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,1,0,1,52.7,-1.9
39
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,1,0,1,45.6,-0.5
40
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,1,0,1,30.9,10.0
41
 
42
+ DC,https://arxiv.org/abs/2006.05929,1,2025-05-30,1,1,0,25.5,12.7
43
+ DSA,https://arxiv.org/abs/2102.08259,1,2025-05-30,1,1,0,26.1,13.5
44
+ DM,https://arxiv.org/abs/2110.04181,1,2025-05-30,1,1,0,30.1,10.7
45
+ MTT,https://arxiv.org/abs/2203.11932,1,2025-05-30,1,1,0,18.0,20.7
46
+ DataDAM,https://arxiv.org/abs/2310.00093,1,2025-05-30,1,1,0,25.9,14.8
47
+ DATM,https://arxiv.org/abs/2310.05773,1,2025-05-30,1,1,1,18.9,18.4
48
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,1,1,1,50.5,-14.8
49
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,1,1,1,37.5,-1.2
50
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,1,1,1,40.1,9.7
51
 
52
+ DC,https://arxiv.org/abs/2006.05929,1,2025-05-30,1,2,0,21.8,1.1
53
+ DSA,https://arxiv.org/abs/2102.08259,1,2025-05-30,1,2,0,21.2,2.0
54
+ DM,https://arxiv.org/abs/2110.04181,1,2025-05-30,1,2,0,16.6,7.2
55
+ MTT,https://arxiv.org/abs/2203.11932,1,2025-05-30,1,2,0,12.1,11.6
56
+ DataDAM,https://arxiv.org/abs/2310.00093,1,2025-05-30,1,2,0,12.4,11.8
57
+ DATM,https://arxiv.org/abs/2310.05773,1,2025-05-30,1,2,1,10.3,26.1
58
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,1,2,1,46.2,-13.6
59
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,1,2,1,27.3,-1.5
60
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,1,2,1,26.7,13.5
61
 
62
+ DC,https://arxiv.org/abs/2006.05929,1,2025-05-30,2,0,0,28.6,3.9
63
+ DSA,https://arxiv.org/abs/2102.08259,1,2025-05-30,2,0,0,30.3,3.7
64
+ DM,https://arxiv.org/abs/2110.04181,1,2025-05-30,2,0,0,36.7,2.3
65
+ MTT,https://arxiv.org/abs/2203.11932,1,2025-05-30,2,0,0,30.7,5.8
66
+ DATM,https://arxiv.org/abs/2310.05773,1,2025-05-30,2,0,1,25.4,8.6
67
+ EDF,https://arxiv.org/abs/2410.17193,1,2025-05-30,2,0,1,25.8,9.2
68
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,2,0,1,45.6,-1.8
69
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,2,0,1,34.0,3.9
70
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,2,0,1,40.6,-3.0
71
 
72
+ DC,https://arxiv.org/abs/2006.05929,1,2025-05-30,2,1,0,21.5,7.1
73
+ DSA,https://arxiv.org/abs/2102.08259,1,2025-05-30,2,1,0,20.3,6.8
74
+ DM,https://arxiv.org/abs/2110.04181,1,2025-05-30,2,1,0,26.2,7.5
75
+ MTT,https://arxiv.org/abs/2203.11932,1,2025-05-30,2,1,0,15.6,14.6
76
+ DATM,https://arxiv.org/abs/2310.05773,1,2025-05-30,2,1,1,18.3,14.2
77
+ EDF,https://arxiv.org/abs/2410.17193,1,2025-05-30,2,1,1,18.5,15.4
78
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,2,1,1,43.6,-8.5
79
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,2,1,1,25.6,1.8
80
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,2,1,1,35.6,-5.8
81
+
82
+ DC,https://arxiv.org/abs/2006.05929,1,2025-05-30,2,2,0,21.3,-2.1
83
+ DSA,https://arxiv.org/abs/2102.08259,1,2025-05-30,2,2,0,17.6,7.6
84
+ DM,https://arxiv.org/abs/2110.04181,1,2025-05-30,2,2,0,18.9,5.3
85
+ MTT,https://arxiv.org/abs/2203.11932,1,2025-05-30,2,2,0,15.6,10.2
86
+ DATM,https://arxiv.org/abs/2310.05773,1,2025-05-30,2,2,1,13.5,15.1
87
+ EDF,https://arxiv.org/abs/2410.17193,1,2025-05-30,2,2,1,13.8,15.9
88
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,2,2,1,33.6,-9.6
89
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,2,2,1,15.2,-0.6
90
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,2,2,1,27.7,12.8
91
+
92
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,3,0,1,56.3,-1.5
93
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,3,0,1,55.7,1.6
94
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,3,0,1,55.9,-0.6
95
+ DWA,https://arxiv.org/abs/2409.17612,1,2025-05-30,3,0,1,56.1,-1.2
96
+ CDA,https://arxiv.org/abs/2311.18838,1,2025-05-30,3,0,1,56.2,-2.5
97
+ EDC,https://arxiv.org/abs/2404.13733,1,2025-05-30,3,0,1,55.7,-0.8
98
+ G-VBSM,https://arxiv.org/abs/2311.17950,1,2025-05-30,3,0,1,56.3,-1.2
99
+
100
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,3,1,1,55.0,-15.6
101
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,3,1,1,50.2,-0.6
102
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,3,1,1,53.0,-7.7
103
+ DWA,https://arxiv.org/abs/2409.17612,1,2025-05-30,3,1,1,54.4,-4.1
104
+ CDA,https://arxiv.org/abs/2311.18838,1,2025-05-30,3,1,1,54.9,-8.6
105
+ EDC,https://arxiv.org/abs/2404.13733,1,2025-05-30,3,1,1,52.0,-0.4
106
+ G-VBSM,https://arxiv.org/abs/2311.17950,1,2025-05-30,3,1,1,55.0,-7.3
107
+
108
+ SRe2L,https://arxiv.org/abs/2306.13092,1,2025-05-30,3,1,1,53.4,-13.2
109
+ RDED,https://arxiv.org/abs/2312.03526,1,2025-05-30,3,1,1,39.8,-3.6
110
+ D4M,https://arxiv.org/abs/2407.15138,1,2025-05-30,3,1,1,43.7,-5.8
111
+ DWA,https://arxiv.org/abs/2409.17612,1,2025-05-30,3,1,1,49.7,-7.8
112
+ CDA,https://arxiv.org/abs/2311.18838,1,2025-05-30,3,1,1,52.0,-6.7
113
+ EDC,https://arxiv.org/abs/2404.13733,1,2025-05-30,3,1,1,41.3,-0.1
114
+ G-VBSM,https://arxiv.org/abs/2311.17950,1,2025-05-30,3,1,1,44.9,-5.9