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Stata Dataset

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50 documents available in our comprehensive collection of Stata Dataset resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

Preview of Salient Object Detection
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Salient Object Detection (1501.02741.pdf)

13.32 MBEN 18 pages
41 state-of-the-art models are compared over 7 challenging datasets for salient object detection and segmentation, showing rapid progress in accuracy and
Preview of A Minwise Hashing Method for Addressing Relationship Extraction from Text
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A Minwise Hashing Method for Addressing Relationship Extraction from Text (minwise-wise_13.pdf)

325 KBEN 14 pages
The method is tested on three datasets, achieving macro-averaged F1 scores of 0
Preview of (Allen Institute for Artificial Intelligence & University of Washington)
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(Allen Institute for Artificial Intelligence & University of Washington) (1907.10641.pdf)

1.05 MBKeisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin ChoiEN 9 pages
Researchers introduce WINOGRANDE, a large-scale dataset of 44k problems inspired by the Winograd Schema Challenge, to investigate whether neural language
Preview of Taskmaster-1 Dataset
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Taskmaster-1 Dataset (D19-1459.pdf)

270 KBBill Byrne ; Karthik Krishnamoorthi ; Chinnadhurai Sankar ; Arvind Neelakantan ; Ben Goodrich ; DaniEN 10 pages
Taskmaster-1 is a dataset of 13,215 task-based dialogs in six domains, created using two procedures: a two-person "Wizard of Oz" approach and a "self-dialog"
Preview of Semantic Correspondence as an Optimal Transport Problem
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Semantic Correspondence as an Optimal Transport Problem (Liu_Semantic_Correspondence_as_an_Optimal_Transport_Problem_CVPR_2020_paper.pdf)

1.18 MBYanbin Liu, Linchao Zhu, Makoto Yamada, Yi YangEN 10 pages
Establishing dense correspondences across semantically similar images is a challenging task due to large intra-class variation and background clutter, leading...
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arXiv Link (1907.09748.pdf)

1.36 MBEN 7 pages
Image-text matching tasks have attracted attention in computer vision, focusing on measuring similarity between visual and textual contents.
Preview of Dense Pose Transfer
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Dense Pose Transfer (Natalia_Neverova_Two_Stream__ECCV_2018_paper.pdf)

1.37 MBNatalia Neverova,Alp Guler,Iasonas KokkinosEN 16 pages
Dense Pose Transfer integrates surface-based modeling with neural synthesis, allowing accurate pose transfer by synthesizing a new image of a person based on a...
Preview of Download PDF
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Download PDF (lee22d.pdf)

970 KBEN 11 pages
Recent advances in deep offline reinforcement learning (RL) enable training strong robotic agents from offline datasets, but fine-tuning these agents via
Preview of Paper PDF
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Paper PDF (He_Align_and_Attend_Multimodal_Summarization_With_Dual_Contrastive_Losses_CVPR_2023_paper.pdf)

1.17 MBBo He; Jun Wang; Jielin Qiu; Trung Bui; Abhinav Shrivastava; Zhaowen WangEN 12 pages
The goal of multimodal summarization is to extract important information from different modalities to form summaries, leveraging cross-modal information to...
Preview of Introduction to SIGHAN 2015 Bake-off for Chinese Spelling Check
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Introduction to SIGHAN 2015 Bake-off for Chinese Spelling Check (W15-3106.pdf)

264 KBYuen-Hsien Tseng ; Lung-Hao Lee ; Li-Ping Chang ; Hsin-Hsi ChenEN 6 pages
The SIGHAN 2015 Bake-off for Chinese Spelling Check presents a competitive evaluation of state-of-the-art Natural Language Processing (NLP) techniques for addressing Chinese spelling errors, using specific datasets with gold standards
Preview of cusp_berkes_2018.pdf
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cusp_berkes_2018.pdf (51606362190691.pdf)

680 KBEN 27 pages
Patents (CUSP) is a dataset of all U
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pdf (2020.emnlp-main.647.pdf)

480 KBThomas Scialom ; Paul-Alexis Dray ; Sylvain Lamprier ; Benjamin Piwowarski ; Jacopo StaianoEN 17 pages
The authors introduce MLSUM, a large-scale multilingual summarization dataset containing 1
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PDF (1805.00123v1.pdf)

3.99 MBEN 9 pages
CrowdHuman is a new dataset for detecting humans in crowded environments, containing 15,000 training, 4,370 validation, and 5,000 testing images with 470K
Preview of DeepFMRI Classification
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DeepFMRI Classification (deep-fmri.pdf)

525 KBNeil StewartEN 6 pages
Researchers propose DeepFMRI, an end-to-end deep learning model for classifying neurological disorders from fMRI data, which outperforms previous...
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pdf (2020.acl-main.441.pdf)

1.38 MBYixin Nie ; Adina Williams ; Emily Dinan ; Mohit Bansal ; Jason Weston ; Douwe KielaEN 17 pages
Researchers introduce Adversarial NLI, a new large-scale benchmark dataset for natural language understanding, collected via an iterative
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Read more (BWP1902.pdf)

141 KBEN 11 pages
The Databank of the Centre for Economic and Regional Studies has established Admin3, a panel dataset containing administrative data from various sources,
Preview of Benchmarking Hierarchical Script Knowledge
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Benchmarking Hierarchical Script Knowledge (N19-1412.pdf)

952 KBYonatan Bisk ; Jan Buys ; Karl Pichotta ; Yejin ChoiEN 9 pages
Researchers introduced KIDSCOOK, a parallel script corpus, and a cloze task to evaluate models' ability to reason about hierarchical and temporal relations...
Preview of Read the document
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Read the document (FluNearYou_SASProgram_Summary.pdf)

167 KBEN 5 pages
The SAS program FluNearYou.sas is designed to import and analyze Flu Near You data for Arizona.
Preview of Seesaw Loss
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Seesaw Loss (Wang_Seesaw_Loss_for_Long-Tailed_Instance_Segmentation_CVPR_2021_paper.pdf)

1.21 MBJiaqi Wang, Wenwei Zhang, Yuhang Zang, Yuhang Cao, Jiangmiao Pang, Tao Gong, Kai Chen, ZiweiEN 10 pages
Seesaw Loss is proposed to tackle long-tailed instance segmentation by dynamically re-balancing gradients of positive and negative samples for each category...
Preview of Span-based parsing with pre-trained representations
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Span-based parsing with pre-trained representations (1805.01052.pdf)

458 KBEN 12 pages
We demonstrate that replacing an LSTM encoder with a self-attentive architecture can improve a state-of-the-art discriminative constituency parser, achieving...
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pdf (2020.emnlp-main.268.pdf)

8.81 MBYue Wang ; Jing Li ; Michael Lyu ; Irwin KingEN 14 pages
Researchers propose a unified framework for cross-media keyphrase prediction, leveraging multi-modality multi-head attention and image wordings to capture...
Preview of Commonsense Injection
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Commonsense Injection (2020.sigdial-1.9.pdf)

648 KBYe Liu ; Tao Yang ; Zeyu You ; Wei Fan ; Philip S. YuEN 13 pages
The Commonsense Evidence Generation and Injection (CEGI) framework generates textual and factual evidence to improve reading comprehension, injecting this...
Preview of Deceptive Opinion Spam Detection
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Deceptive Opinion Spam Detection (C12-2131.pdf)

173 KBQiongkai Xu ; Hai ZhaoEN 10 pages
Qiongkai Xu and Hai Zhao propose a framework to detect deceptive opinion spam using deep linguistic features, achieving state-of-the-art results on both...
Preview of GAN Training Analysis
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GAN Training Analysis (2007.06418.pdf)

6.8 MBEN 12 pages
GANs often struggle with underfitting or overfitting due to limited or complex datasets, making analysis difficult
Preview of Text-to-SQL Parsing
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Text-to-SQL Parsing (2022.findings-emnlp.155.pdf)

343 KBEN 13 pages
Researchers propose a novel TKK framework for text-to-SQL parsing, consisting of task decomposition, knowledge acquisition, and knowledge composition, to...
Preview of electronic edition @ ceur-ws.org (open access)
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electronic edition @ ceur-ws.org (open access) (paper2.pdf)

1.09 MBEN 10 pages
Researchers propose an attention-based deep learning model for predicting rapid intensification (RI) of tropical cyclones from satellite images, aiming to...
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paper (Sultani_Real-World_Anomaly_Detection_CVPR_2018_paper.pdf)

3.23 MBWaqas Sultani, Chen Chen, Mubarak ShahEN 10 pages
Real-world anomaly detection in surveillance videos is a pressing need due to the increasing number of cameras and the lack of human monitors.
Preview of MapTR
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MapTR (2208.14437.pdf)

3.11 MBEN 18 pages
MapTR is a structured end-to-end Transformer for efficient online vectorized HD map construction, proposing a unified permutation-equivalent modeling approach...
Preview of ChatGPT vs Human Raters
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ChatGPT vs Human Raters (paper3340.pdf)

648 KBEN 11 pages
Researchers applied ChatGPT to the 4books dataset, a German language collection of children's and young adult novels with 22,860 sentences annotated for
Preview of D3Net
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D3Net (2112.01551.pdf)

9.48 MBEN 27 pages
D3Net is a unified speaker-listener architecture for 3D dense captioning and visual grounding, enabling detection, description, and discrimination of objects...
Preview of Gated Recursive Neural Network
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Gated Recursive Neural Network (P15-1168.pdf)

1.33 MBXinchi Chen ; Xipeng Qiu ; Chenxi Zhu ; Xuanjing HuangEN 10 pages
Xinchi Chen et al.
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Paper PDF (Liu_Generating_Anomalies_for_Video_Anomaly_Detection_With_Prompt-Based_Feature_Mapping_CVPR_2023_paper.pdf)

5.5 MBZuhao Liu; Xiao-Ming Wu; Dian Zheng; Kun-Yu Lin; Wei-Shi ZhengEN 11 pages
Researchers propose a prompt-based feature mapping framework (PFMF) to address the anomaly gap and scene gap in video anomaly detection, generating unseen...
Preview of http://arxiv.org/pdf/1112.6209.pdf
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http://arxiv.org/pdf/1112.6209.pdf (1112.6209.pdf)

2.92 MBQuoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg S. Corrado, Jeff Dean,EN 11 pages
Researchers trained a 9-layered locally connected sparse autoencoder on a large dataset of 10 million 200x200 pixel images to build high-level, class-specific
Preview of Point Cloud Registration
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Point Cloud Registration (2307.01362.pdf)

1.35 MBEN 8 pages
Researchers propose a straightforward baseline for point cloud registration via direct superpoints matching, achieving comparable or better results than...
Preview of Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection
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Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection (2207.13916.pdf)

4.72 MBEN 43 pages
A novel data augmentation technique, Compounded Corruptions (CnC), creates synthetic out-of-distribution samples by corrupting in-distribution data, enabling the training of effective OOD detection classifiers without requiring labeled OOD examples.
Preview of WSD System
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WSD System (C12-3031.pdf)

1.02 MBSalil Joshi ; Mitesh M. Khapra ; Pushpak BhattacharyyaEN 8 pages
Researchers developed an online system for Word Sense Disambiguation (WSD) that allows users to run multiple state-of-the-art algorithms with minimal overhead,...
Preview of EventStatus Corpus
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EventStatus Corpus (D16-1005.pdf)

151 KBRuihong Huang ; Ignacio Cases ; Dan Jurafsky ; Cleo Condoravdi ; Ellen RiloffEN 11 pages
Researchers introduce the EventStatus corpus, a dataset of 4500 English and Spanish news articles about civil unrest events labeled as PAST, ON-GOING, or
Preview of Full Text
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Full Text (bairuiwang_CVPR2018.pdf)

1.43 MBBairui Wang, Lin Ma, Wei Zhang, Wei LiuEN 10 pages
The encoder-decoder generates a sentence description based on encoded video semantic features, while the reconstructor reproduces the video features based on...
Preview of Download (380kB)
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Download (380kB) (Ajao_fake_news_AM.pdf)

413 KBCaroline FixterEN 6 pages
Researchers propose a sentiment-aware approach to detect fake news on online social networks, hypothesizing a relationship between fake messages and the...
Preview of QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization
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QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization (D19-1333.pdf)

354 KBYi-Ting Yeh ; Yun-Nung ChenEN 6 pages
A regularization technique for enhancing reading comprehension systems by maximizing mutual information, aiming to improve the distinction between related but incorrect answers and the actual correct response.
Preview of Query-Adaptive Summarization
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Query-Adaptive Summarization (1705.00581v2.pdf)

4.77 MBArun Balajee Vasudevan[1][2], Michael Gygli[1][2][3], Anna Volokitin[2], Luc Van Gool[2][4]-1.2exEN 10 pages
Query-adaptive video summarization is posed as a video frame subset selection problem to optimize for summaries that are diverse, representative, and relevant...
Preview of Table-to-Text Generation
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Table-to-Text Generation (2021.findings-emnlp.347.pdf)

603 KBWenting Zhao ; Ye Liu ; Yao Wan ; Philip YuEN 12 pages
The proposed approach, Attend, Memorize and Generate (AMG), aims to improve few-shot table-to-text generation by preserving table structure and reducing...
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Paper PDF (Shin_Local_Connectivity-Based_Density_Estimation_for_Face_Clustering_CVPR_2023_paper.pdf)

1.67 MBJunho Shin; Hyo-Jun Lee; Hyunseop Kim; Jong-Hyeon Baek; Daehyun Kim; Yeong Jun KohEN 9 pages
The proposed method employs density-based clustering, which maintains edges with higher density, and uses a reliable density estimation algorithm based on...
Preview of Sign Language Recognition
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Sign Language Recognition (koller_TPAMI2019preprint.pdf)

5.34 MBEN 15 pages
Researchers propose a weakly supervised learning approach using multi-stream CNN-LSTM-HMMs to discover sequential parallelism in sign language videos,...
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Paper PDF (Weber_Power_Bundle_Adjustment_for_Large-Scale_3D_Reconstruction_CVPR_2023_paper.pdf)

4.39 MBSimon Weber; Nikolaus Demmel; Tin Chon Chan; Daniel CremersEN 9 pages
Power Bundle Adjustment (PoBA) is introduced as a novel solver for large-scale bundle adjustment problems, leveraging power series expansion of the inverse...
Preview of https://arxiv.org/pdf/2204.10408.pdf
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https://arxiv.org/pdf/2204.10408.pdf (2204.10408.pdf)

1.11 MBEN 7 pages
ICDBigBird is a contextual embedding model for ICD code classification, combining a Graph Convolutional Network (GCN) with a BigBird contextual model to...
Preview of PSPNet
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PSPNet (1612.01105.pdf)

4.29 MBEN 11 pages
Pyramid Scene Parsing Network (PSPNet) exploits global context information through pyramid pooling and achieves state-of-the-art performance on various...
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paper (SLombardi_ICCV13.pdf)

3.06 MBEN 8 pages
Researchers propose a new gait representation called Two-Point Gait, which decouples gait from body shape by encoding limb motions regardless of body shape.
Preview of Modeling and Measuring Expressed (Dis)belief in (Mis)information
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Modeling and Measuring Expressed (Dis)belief in (Mis)information (Jiangetal2020ICWSM.pdf)

485 KBEN 12 pages
Researchers propose using social media comments to model and measure public belief in online misinformation, aiming to quantify susceptibility and mitigate potential societal impacts.
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Paper PDF (Fan_SelfME_Self-Supervised_Motion_Learning_for_Micro-Expression_Recognition_CVPR_2023_paper.pdf)

894 KBXinqi Fan; Xueli Chen; Mingjie Jiang; Ali Raza Shahid; Hong YanEN 10 pages
SelfME is a novel micro-expression recognition (MER) framework that uses self-supervised learning to extract facial motion for MER, overcoming the limitation...

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