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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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2002.01365/record.json
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2002.03734/record.json
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2002.07375/record.json
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2002.08247/record.json
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| 5 |
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2003.01219/record.json
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2005.05080/record.json
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| 7 |
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|
| 8 |
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"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.05080",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/tex_files_extracted/2005.05080",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.05080/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.05080/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.05080/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/2005.05080/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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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2007.03195/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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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2007.03195",
|
| 3 |
+
"month": "2020_07",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "ECCV",
|
| 6 |
+
"title": "Learning to Count in the Crowd from Limited Labeled Data",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2007.03195",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.03195",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/tex_files_extracted/2007.03195",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.03195/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.03195/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.03195/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/2007.03195/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.03195/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.03195/main_diagram/main_diagram.pdf",
|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.03195/paper_text/intro_method.md",
|
| 21 |
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|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.03195/latex_source"
|
| 23 |
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|
| 24 |
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"status": {
|
| 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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|
| 31 |
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|
| 32 |
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|
2010.02966/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2010.02966",
|
| 3 |
+
"month": "2020_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Reinforcement Learning with Random Delays",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2010.02966",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02966",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.02966",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02966/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02966/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02966/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/2010.02966/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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|
2010.03147/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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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2010.03147",
|
| 3 |
+
"month": "2020_10",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2010.03147",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.03147",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.03147",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.03147/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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|
| 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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|
2010.03255/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2010.03255",
|
| 3 |
+
"month": "2020_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
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"conference": "ICCV",
|
| 6 |
+
"title": "Variational Feature Disentangling for Fine-Grained Few-Shot Classification",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2010.03255",
|
| 8 |
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"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.03255",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.03255",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.03255/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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2011.08908/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2011.08908",
|
| 3 |
+
"month": "2020_11",
|
| 4 |
+
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|
| 5 |
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"conference": "ACL",
|
| 6 |
+
"title": "SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2011.08908",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.08908",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/tex_files_extracted/2011.08908",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.08908/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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| 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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|
2012.03208/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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| 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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| 31 |
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2101.00265/record.json
ADDED
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|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2101.00265",
|
| 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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| 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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| 30 |
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| 31 |
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| 32 |
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2102.12092/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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| 9 |
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| 10 |
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| 11 |
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| 12 |
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2103.01009/record.json
ADDED
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|
| 1 |
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| 3 |
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| 4 |
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| 5 |
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| 7 |
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2103.01453/record.json
ADDED
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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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| 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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2103.10584/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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| 6 |
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| 7 |
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| 8 |
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2103.12032/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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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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|
| 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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| 13 |
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| 14 |
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|
| 15 |
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2103.13841/record.json
ADDED
|
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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 |
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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_03/main_diagram_database/2103.13841/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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2103.14030/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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| 9 |
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| 10 |
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| 11 |
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| 12 |
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2104.02847/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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2104.05807/record.json
ADDED
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@@ -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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2104.07586/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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| 30 |
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| 31 |
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2104.08677/record.json
ADDED
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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 |
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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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| 19 |
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| 30 |
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| 31 |
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2104.14557/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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|
| 12 |
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| 14 |
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|
| 15 |
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| 16 |
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| 18 |
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2105.05557/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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| 9 |
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| 10 |
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2105.12848/record.json
ADDED
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|
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|
|
| 1 |
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{
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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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2105.15087/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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| 6 |
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| 7 |
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| 8 |
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2106.02990/record.json
ADDED
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|
| 1 |
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| 6 |
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| 7 |
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| 8 |
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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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|
2106.03272/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.03272",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "Signatured Deep Fictitious Play for Mean Field Games with Common Noise",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.03272",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03272",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.03272",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03272/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03272/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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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03272/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03272/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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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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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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2106.03598/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.03598",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "EMNLP",
|
| 6 |
+
"title": "BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03598",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.03598",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03598/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03598/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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|
| 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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| 25 |
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| 30 |
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| 31 |
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|
| 32 |
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2106.10370/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.10370",
|
| 3 |
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"month": "2021_06",
|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "ICLR",
|
| 6 |
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"title": "On the benefits of maximum likelihood estimation for Regression and Forecasting",
|
| 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_06/main_diagram_database/2106.10370",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.10370",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.10370/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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| 30 |
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| 31 |
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| 32 |
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2106.12871/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2106.12871",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "DCoM: A Deep Column Mapper for Semantic Data Type Detection",
|
| 7 |
+
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|
| 8 |
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"source": {
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| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.12871",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.12871",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.12871/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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| 23 |
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| 30 |
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| 31 |
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| 32 |
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2106.13213/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2106.13213",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data",
|
| 7 |
+
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|
| 8 |
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"source": {
|
| 9 |
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|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.13213",
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| 11 |
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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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2106.15339/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.15339",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "SpreadsheetCoder: Formula Prediction from Semi-structured Context",
|
| 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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|
| 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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2107.00085/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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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2107.00085",
|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
+
"title": "Semi-supervised Domain Adaptation via Joint Contrastive Learning with Sensitivity",
|
| 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_07/tex_files_extracted/2107.00085",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.00085/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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| 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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2107.09584/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2107.09584",
|
| 3 |
+
"month": "2021_07",
|
| 4 |
+
"year": 2021,
|
| 5 |
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"conference": "NEURIPS",
|
| 6 |
+
"title": "Active 3D Shape Reconstruction from Vision and Touch",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2107.09584",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.09584",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/tex_files_extracted/2107.09584",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.09584/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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2108.01887/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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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 18 |
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| 31 |
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2108.02708/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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"title": "Object Wake-Up: 3D Object Rigging from a Single Image",
|
| 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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2108.02866/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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| 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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| 30 |
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| 31 |
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| 32 |
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2108.10274/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2108.10274",
|
| 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_08/main_diagram_database/2108.10274/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/2108.10274/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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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2108.10869/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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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.10869",
|
| 3 |
+
"month": "2021_08",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2108.10869",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.10869",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.10869",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.10869/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.10869/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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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.10869/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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| 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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|
2108.12126/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.12126",
|
| 3 |
+
"month": "2021_08",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Automated Generation of Accurate & Fluent Medical X-ray Reports",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2108.12126",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.12126",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.12126",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.12126/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.12126/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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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.12126/main_diagram/main_diagram.drawio",
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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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| 25 |
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| 30 |
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|
| 31 |
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|
| 32 |
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2109.04997/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2109.04997",
|
| 3 |
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"month": "2021_09",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Box Embeddings: An open-source library for representation learning using geometric structures",
|
| 7 |
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|
| 8 |
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| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04997",
|
| 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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| 23 |
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| 30 |
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| 31 |
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| 32 |
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2109.09827/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2109.09827",
|
| 3 |
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"month": "2021_09",
|
| 4 |
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"year": 2021,
|
| 5 |
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"conference": "ICCV",
|
| 6 |
+
"title": "Viewpoint Invariant Dense Matching for Visual Geolocalization",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2109.09827",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.09827",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.09827",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.09827/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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| 23 |
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2109.10259/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": "AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators",
|
| 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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| 23 |
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| 30 |
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| 31 |
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|
| 32 |
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2110.00375/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.00375",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "AAAI",
|
| 6 |
+
"title": "Fully Spiking Variational Autoencoder",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.00375",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.00375",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.00375",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.00375/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.00375/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.00375/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.00375/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.00375/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.00375/main_diagram/main_diagram.pdf",
|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.00375/paper_text/intro_method.md",
|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.00375/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.00375/latex_source"
|
| 23 |
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},
|
| 24 |
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"status": {
|
| 25 |
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"copy_drawio": "exists",
|
| 26 |
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"copy_png": "exists",
|
| 27 |
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"diagram_pdf": "pdf_exists",
|
| 28 |
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|
| 29 |
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"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
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}
|
| 32 |
+
}
|
2110.06021/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.06021",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.06021",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06021",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.06021",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06021/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06021/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06021/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06021/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06021/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06021/main_diagram/main_diagram.pdf",
|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06021/paper_text/intro_method.md",
|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06021/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06021/latex_source"
|
| 23 |
+
},
|
| 24 |
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"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
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"copy_png": "exists",
|
| 27 |
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"diagram_pdf": "pdf_exists",
|
| 28 |
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"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2110.06149/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.06149",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Planning from Pixels in Environments with Combinatorially Hard Search Spaces",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.06149",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06149",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.06149",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06149/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06149/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06149/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06149/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06149/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06149/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06149/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06149/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06149/latex_source"
|
| 23 |
+
},
|
| 24 |
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"status": {
|
| 25 |
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"copy_drawio": "exists",
|
| 26 |
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"copy_png": "exists",
|
| 27 |
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"diagram_pdf": "pdf_exists",
|
| 28 |
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|
| 29 |
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"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2110.09035/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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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.09035",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.09035",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.09035",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.09035",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.09035/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.09035/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.09035/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.09035/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.09035/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.09035/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/2110.09035/latex_source"
|
| 23 |
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|
| 24 |
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"status": {
|
| 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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