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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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2004.02958/record.json
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2004.14243/record.json
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2006.08228/record.json
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2007.07670/record.json
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2007.13143/record.json
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| 6 |
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"title": "Challenge-Aware RGBT Tracking",
|
| 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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| 26 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2010.02696/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": "2010.02696",
|
| 3 |
+
"month": "2020_10",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Aspect Sentiment Classification with Aspect-Specific Opinion Spans",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2010.02696",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02696",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.02696",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02696/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02696/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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| 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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|
2010.08258/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2010.08258",
|
| 3 |
+
"month": "2020_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2010.08258",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.08258",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.08258",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.08258/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.08258/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/2010.08258/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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|
| 30 |
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|
| 31 |
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|
| 32 |
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2011.03017/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2011.03017",
|
| 3 |
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"month": "2020_11",
|
| 4 |
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"year": 2020,
|
| 5 |
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|
| 6 |
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"title": "MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision",
|
| 7 |
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"arxiv_url": "https://arxiv.org/abs/2011.03017",
|
| 8 |
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"source": {
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| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.03017",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/tex_files_extracted/2011.03017",
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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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2103.16886/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
+
{
|
| 2 |
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|
| 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": "Neural Response Interpretation Through the Lens of Critical Pathways",
|
| 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/2103.16886",
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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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2104.00380/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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| 32 |
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2104.07058/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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"title": "Predicting Discourse Trees from Transformer-based Neural Summarizers",
|
| 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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| 22 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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2105.08997/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2105.08997",
|
| 3 |
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"month": "2021_05",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics",
|
| 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/2105.08997/paper_text/paper.md",
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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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| 30 |
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| 31 |
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|
| 32 |
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2105.09803/record.json
ADDED
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2105.09803",
|
| 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/2021_05/main_diagram_database/2105.09803",
|
| 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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2106.01425/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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| 9 |
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| 10 |
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| 12 |
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2106.13948/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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|
| 15 |
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2107.01396/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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2109.04518/record.json
ADDED
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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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| 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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2109.04712/record.json
ADDED
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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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| 9 |
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| 10 |
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2109.05361/record.json
ADDED
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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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| 9 |
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| 10 |
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2109.11593/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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2110.05055/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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2110.05419/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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| 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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|
2111.00295/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.00295",
|
| 3 |
+
"month": "2021_11",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2111.00295",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.00295",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.00295",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.00295/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.00295/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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| 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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|
2111.09639/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.09639",
|
| 3 |
+
"month": "2021_11",
|
| 4 |
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"year": 2022,
|
| 5 |
+
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|
| 6 |
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"title": "Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2111.09639",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.09639",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.09639",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.09639/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.09639/metadata.json",
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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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2111.15097/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.15097",
|
| 3 |
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"month": "2021_11",
|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "ECCV",
|
| 6 |
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"title": "EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15097",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.15097",
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| 11 |
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| 12 |
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| 14 |
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|
| 15 |
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| 18 |
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| 30 |
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| 31 |
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| 32 |
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2112.00712/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2112.00712",
|
| 3 |
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"month": "2021_12",
|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "AAAI",
|
| 6 |
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"title": "STEM: Unsupervised STructural EMbedding for Stance Detection",
|
| 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_12/main_diagram_database/2112.00712",
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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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| 18 |
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| 23 |
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| 30 |
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2112.03002/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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| 15 |
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| 30 |
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| 31 |
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2112.03258/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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"arxiv_id": "2112.03258",
|
| 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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|
| 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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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2112.05883/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2112.05883",
|
| 3 |
+
"month": "2021_12",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "AAAI",
|
| 6 |
+
"title": "Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2112.05883",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05883",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.05883",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05883/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05883/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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| 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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2112.06598/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2112.06598",
|
| 3 |
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"month": "2021_12",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2112.06598",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.06598",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.06598",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.06598/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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| 30 |
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| 31 |
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| 32 |
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2201.01155/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2201.01155",
|
| 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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| 15 |
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2201.07745/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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| 14 |
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| 15 |
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2201.11945/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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|
| 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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| 12 |
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|
| 15 |
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2201.12126/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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|
| 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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|
| 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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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2201.12426/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 |
+
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|
| 3 |
+
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|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "A Simple Guard for Learned Optimizers",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12426",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.12426",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12426/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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|
| 30 |
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|
| 31 |
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|
| 32 |
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2202.03101/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2202.03101",
|
| 3 |
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"month": "2022_02",
|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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"title": "NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks",
|
| 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/2022_02/main_diagram_database/2202.03101",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/tex_files_extracted/2202.03101",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.03101/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.03101/metadata.json",
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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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| 23 |
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| 30 |
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| 31 |
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| 32 |
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2202.06200/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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| 15 |
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2202.08205/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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|
| 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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| 15 |
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2203.00048/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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| 30 |
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| 31 |
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2203.00725/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": "A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition",
|
| 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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| 22 |
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| 23 |
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|
| 30 |
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| 31 |
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2203.03014/record.json
ADDED
|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.03014",
|
| 3 |
+
"month": "2022_03",
|
| 4 |
+
"year": 2022,
|
| 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/2022_03/main_diagram_database/2203.03014",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.03014",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.03014/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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2203.03079/record.json
ADDED
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|
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|
|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2203.03079",
|
| 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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2203.06107/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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2203.06835/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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2203.12892/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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|
| 6 |
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|
| 7 |
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| 8 |
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| 10 |
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2203.13097/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.13097",
|
| 3 |
+
"month": "2022_03",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ACMMM",
|
| 6 |
+
"title": "Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2203.13097",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.13097",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.13097",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.13097/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.13097/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.13097/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/2203.13097/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/main_diagram/main_diagram.pdf",
|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/paper_text/intro_method.md",
|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/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 |
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"latex": "exists"
|
| 31 |
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}
|
| 32 |
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}
|
2203.15065/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.15065",
|
| 3 |
+
"month": "2022_03",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ECCV",
|
| 6 |
+
"title": "DeepShadow: Neural Shape from Shadow",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2203.15065",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.15065",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.15065",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.15065/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.15065/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.15065/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/paper_text/intro_method.md",
|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/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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"intro_method": "exists",
|
| 29 |
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"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2204.06355/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2204.06355",
|
| 3 |
+
"month": "2022_04",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Local Feature Swapping for Generalization in Reinforcement Learning",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2204.06355",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.06355",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/tex_files_extracted/2204.06355",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.06355/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.06355/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.06355/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/paper_text/intro_method.md",
|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/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",
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| 28 |
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|
| 29 |
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"paper_pdf": "exists",
|
| 30 |
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"latex": "exists"
|
| 31 |
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}
|
| 32 |
+
}
|
2204.09890/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": "2204.09890",
|
| 3 |
+
"month": "2022_04",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "Spurious Correlations in Reference-Free Evaluation of Text Generation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2204.09890",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.09890",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/tex_files_extracted/2204.09890",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.09890/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.09890/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.09890/paper_text/paper.md",
|
| 14 |
+
"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/2204.09890/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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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.09890/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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