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Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
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2002.08111/record.json
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2002.09089/record.json
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2003.10258/record.json
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2004.07788/record.json
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2004.09739/record.json
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2005.00705/record.json
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| 7 |
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|
| 8 |
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|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.00705",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/tex_files_extracted/2005.00705",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.00705/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.00705/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.00705/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.00705/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.00705/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.00705/latex_source"
|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2005.06331/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2005.06331",
|
| 3 |
+
"month": "2020_05",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ACMMM",
|
| 6 |
+
"title": "TransFusion: Multi-Modal Fusion for Video Tag Inference via Translation-based Knowledge Embedding",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2005.06331",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.06331",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/tex_files_extracted/2005.06331",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.06331/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.06331/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.06331/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.06331/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.06331/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.06331/main_diagram/main_diagram.pdf",
|
| 20 |
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| 21 |
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|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.06331/latex_source"
|
| 23 |
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|
| 24 |
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|
| 25 |
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"copy_drawio": "exists",
|
| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2006.03627/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2006.03627",
|
| 3 |
+
"month": "2020_06",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Equivariant Networks for Hierarchical Structures",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2006.03627",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.03627",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/tex_files_extracted/2006.03627",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.03627/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.03627/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.03627/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.03627/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.03627/main_diagram/main_diagram.png",
|
| 19 |
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| 20 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2006.07796/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2006.07796",
|
| 3 |
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"month": "2020_06",
|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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"title": "Structure by Architecture: Disentangled Representations without Regularization",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2006.07796",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.07796",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/tex_files_extracted/2006.07796",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.07796/paper_text/paper.md",
|
| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 30 |
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| 31 |
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|
| 32 |
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|
2006.08505/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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"month": "2020_06",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2006.08505",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.08505",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/tex_files_extracted/2006.08505",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.08505/paper_text/paper.md",
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| 12 |
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| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 23 |
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| 30 |
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|
| 31 |
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|
| 32 |
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2006.15009/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2006.15009",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.15009",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/tex_files_extracted/2006.15009",
|
| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 22 |
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|
| 23 |
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| 24 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2007.01072/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
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| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
+
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.01072/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2007.01332/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2007.01332",
|
| 3 |
+
"month": "2020_07",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2007.01332",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.01332",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/tex_files_extracted/2007.01332",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.01332/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.01332/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2007.07356/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
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|
|
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|
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|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2007.07356",
|
| 3 |
+
"month": "2020_07",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Efficient Empowerment Estimation for Unsupervised Stabilization",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2007.07356",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.07356",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/tex_files_extracted/2007.07356",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.07356/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.07356/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.07356/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
2008.06374/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2008.06374",
|
| 3 |
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"month": "2020_08",
|
| 4 |
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"year": 2020,
|
| 5 |
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|
| 6 |
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"title": "PointMixup: Augmentation for Point Clouds",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2008.06374",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.06374",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/tex_files_extracted/2008.06374",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.06374/paper_text/paper.md",
|
| 12 |
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| 13 |
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| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 30 |
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| 31 |
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|
| 32 |
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2008.10858/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
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|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
+
"month": "2020_08",
|
| 4 |
+
"year": 2020,
|
| 5 |
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"conference": "ICML",
|
| 6 |
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"title": "LowFER: Low-rank Bilinear Pooling for Link Prediction",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2008.10858",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.10858",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/tex_files_extracted/2008.10858",
|
| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 22 |
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| 30 |
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| 31 |
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| 32 |
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2008.13084/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2009.00585/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2009.00585",
|
| 3 |
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"month": "2020_09",
|
| 4 |
+
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|
| 5 |
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"conference": "ICLR",
|
| 6 |
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"title": "AutoNF: Automated Architecture Optimization of Normalizing Flows Using a Mixture Distribution Formulation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2009.00585",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.00585",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/tex_files_extracted/2009.00585",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.00585/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2009.00585/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2009.08061/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2009.08061",
|
| 3 |
+
"month": "2020_09",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Certifying Confidence via Randomized Smoothing",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2009.08061",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.08061",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/tex_files_extracted/2009.08061",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.08061/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.08061/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.08061/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2009.08061/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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|
| 25 |
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| 26 |
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| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2009.09870/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2009.09870",
|
| 3 |
+
"month": "2020_09",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Content Planning for Neural Story Generation with Aristotelian Rescoring",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2009.09870",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.09870",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/tex_files_extracted/2009.09870",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.09870/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.09870/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.09870/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2009.09870/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2009.11340/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2009.11340",
|
| 3 |
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"month": "2020_09",
|
| 4 |
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"year": 2020,
|
| 5 |
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"conference": "EMNLP",
|
| 6 |
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"title": "The importance of fillers for text representations of speech transcripts",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2009.11340",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.11340",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/tex_files_extracted/2009.11340",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.11340/paper_text/paper.md",
|
| 12 |
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| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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| 22 |
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| 23 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2009.11355/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2009.11355",
|
| 3 |
+
"month": "2020_09",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Structure Aware Negative Sampling in Knowledge Graphs",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2009.11355",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.11355",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/tex_files_extracted/2009.11355",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.11355/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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| 20 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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2009.13013/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2009.13013",
|
| 3 |
+
"month": "2020_09",
|
| 4 |
+
"year": 2021,
|
| 5 |
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"conference": "NAACL",
|
| 6 |
+
"title": "SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2009.13013",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.13013",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/tex_files_extracted/2009.13013",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_09/main_diagram_database/2009.13013/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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| 20 |
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| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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| 26 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2010.01112/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2010.01112",
|
| 3 |
+
"month": "2020_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization",
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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| 18 |
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| 22 |
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| 23 |
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| 24 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2010.05315/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2010.05315",
|
| 3 |
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"month": "2020_10",
|
| 4 |
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"year": 2020,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
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"title": "SMYRF - Efficient Attention using Asymmetric Clustering",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2010.05315",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.05315",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.05315",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.05315/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 22 |
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| 23 |
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| 24 |
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| 30 |
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|
| 31 |
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|
| 32 |
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2010.11354/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2010.11354",
|
| 3 |
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"month": "2020_10",
|
| 4 |
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"year": 2021,
|
| 5 |
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|
| 6 |
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"title": "PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data",
|
| 7 |
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|
| 8 |
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|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.11354",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.11354",
|
| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 31 |
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| 32 |
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2011.07387/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.07387",
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| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/tex_files_extracted/2011.07387",
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 17 |
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| 18 |
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| 30 |
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|
| 31 |
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|
| 32 |
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2011.12491/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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"month": "2020_11",
|
| 4 |
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"year": 2021,
|
| 5 |
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|
| 6 |
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"title": "World Model as a Graph: Learning Latent Landmarks for Planning",
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/tex_files_extracted/2011.12491",
|
| 11 |
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| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 31 |
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|
| 32 |
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2101.00433/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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"month": "2021_01",
|
| 4 |
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"year": 2021,
|
| 5 |
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|
| 6 |
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"title": "Modeling Disclosive Transparency in NLP Application Descriptions",
|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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|
| 15 |
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| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2101.08779/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2101.08779",
|
| 3 |
+
"month": "2021_01",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICCV",
|
| 6 |
+
"title": "AI Choreographer: Music Conditioned 3D Dance Generation With AIST++",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2101.08779",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.08779",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/tex_files_extracted/2101.08779",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.08779/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.08779/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.08779/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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|
| 25 |
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"copy_drawio": "exists",
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2101.09336/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2101.09336",
|
| 3 |
+
"month": "2021_01",
|
| 4 |
+
"year": 2021,
|
| 5 |
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"conference": "IJCAI",
|
| 6 |
+
"title": "Hardware-Aware Neural Architecture Search: Survey and Taxonomy",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2101.09336",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.09336",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/tex_files_extracted/2101.09336",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.09336/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.09336/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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| 22 |
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| 23 |
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| 24 |
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| 30 |
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| 31 |
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|
| 32 |
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2101.10043/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2101.10043",
|
| 3 |
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"month": "2021_01",
|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "AAAI",
|
| 6 |
+
"title": "Deep One-Class Classification via Interpolated Gaussian Descriptor",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2101.10043",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.10043",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/tex_files_extracted/2101.10043",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.10043/paper_text/paper.md",
|
| 12 |
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| 13 |
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| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 30 |
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| 31 |
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| 32 |
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2102.12894/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2102.12894",
|
| 3 |
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"month": "2021_02",
|
| 4 |
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"year": 2021,
|
| 5 |
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"conference": "NEURIPS",
|
| 6 |
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"title": "Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes",
|
| 7 |
+
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|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.12894",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/tex_files_extracted/2102.12894",
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 18 |
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| 30 |
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2103.01197/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2103.01197",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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2103.05445/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2103.05445",
|
| 3 |
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"month": "2021_03",
|
| 4 |
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"year": 2021,
|
| 5 |
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|
| 6 |
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"title": "Pixel-Wise Anomaly Detection in Complex Driving Scenes",
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 21 |
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|
| 22 |
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| 23 |
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| 24 |
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| 25 |
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|
| 30 |
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| 31 |
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|
| 32 |
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2103.13027/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2103.13027",
|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "AutoMix: Unveiling the Power of Mixup for Stronger Classifiers",
|
| 7 |
+
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|
| 8 |
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|
| 9 |
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|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/tex_files_extracted/2103.13027",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/main_diagram_database/2103.13027/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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2103.14005/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2103.14005",
|
| 3 |
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"month": "2021_03",
|
| 4 |
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|
| 5 |
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|
| 6 |
+
"title": "Contrasting Contrastive Self-Supervised Representation Learning Pipelines",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2103.14005",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/main_diagram_database/2103.14005",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/tex_files_extracted/2103.14005",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/main_diagram_database/2103.14005/paper_text/paper.md",
|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 23 |
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| 24 |
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| 30 |
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| 31 |
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2104.01194/record.json
ADDED
|
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|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2104.01194",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 14 |
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2104.03962/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2104.03962",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Panoptic Segmentation Forecasting",
|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 12 |
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| 15 |
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| 18 |
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2104.09088/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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2104.09379/record.json
ADDED
|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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|
| 8 |
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| 10 |
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| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
2105.01294/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2105.01294",
|
| 3 |
+
"month": "2021_05",
|
| 4 |
+
"year": 2021,
|
| 5 |
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|
| 6 |
+
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|
| 7 |
+
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|
| 8 |
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|
| 9 |
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|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/tex_files_extracted/2105.01294",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.01294/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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2105.03801/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2105.03801",
|
| 3 |
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"month": "2021_05",
|
| 4 |
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|
| 5 |
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|
| 6 |
+
"title": "Long-Span Summarization via Local Attention and Content Selection",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2105.03801",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.03801",
|
| 10 |
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.03801/paper_text/paper.md",
|
| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 30 |
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| 31 |
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2105.03835/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 12 |
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2105.04678/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
| 1 |
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| 2 |
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|
| 3 |
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| 4 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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2105.09574/record.json
ADDED
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|
| 1 |
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| 3 |
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| 6 |
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| 7 |
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| 8 |
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| 10 |
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|
| 15 |
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2105.11696/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2105.11696",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.11696/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.11696/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.11696/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.11696/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.11696/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.11696/latex_source"
|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2106.03720/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.03720",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ACMMM",
|
| 6 |
+
"title": "Pyramidal Transformer with Conv-Patchify for Person Re-identification",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.03720",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03720",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.03720",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03720/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03720/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03720/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03720/main_diagram/main_diagram.png",
|
| 19 |
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| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03720/paper_text/intro_method.md",
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| 21 |
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| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03720/latex_source"
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| 23 |
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| 24 |
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"status": {
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| 25 |
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"copy_drawio": "exists",
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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}
|
| 32 |
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|
2106.04559/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.04559",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.04559",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.04559",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.04559",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.04559/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.04559/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.04559/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.04559/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.04559/main_diagram/main_diagram.png",
|
| 19 |
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| 20 |
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| 21 |
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|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.04559/latex_source"
|
| 23 |
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| 24 |
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| 25 |
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2106.04876/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.04876",
|
| 3 |
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"month": "2021_06",
|
| 4 |
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"year": 2021,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
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"title": "Recovering AES Keys with a Deep Cold Boot Attack",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.04876",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.04876",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.04876",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.04876/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.04876/metadata.json",
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| 13 |
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| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
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| 16 |
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|
| 17 |
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| 18 |
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| 23 |
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| 30 |
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| 31 |
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|
| 32 |
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