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Deep Learning
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Supervised Learning
18 directly classified papers
Papers per year
2016: 2
2017: 2
2018: 1
2019: 1
2020: 4
2021: 1
2022: 2
2023: 1
2024: 2
2025: 2
Papers
RT-DETRv3: Real-Time End-to-End Object Detection with Hierarchical Dense Positive Supervision
WACV 2025
Active Learning for Image Segmentation with Binary User Feedback
WACV 2025
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
CVPR 2024
A new machine-actionable corpus for ancient text restoration
ACL 2024
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network
AAAI 2023
Improving Text Simplification with Factuality Error Detection
EMNLP 2022
P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior
CVPR 2022
Predicting Text Readability from Scrolling Interactions
EMNLP 2021
IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20
EMNLP 2020
Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes
CVPR 2020
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal
ACL 2020
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
EMNLP 2020
Towards Making a Dependency Parser See
EMNLP 2019
MegaDepth: Learning Single-View Depth Prediction From Internet Photos
CVPR 2018
Learning From Synthetic Humans
CVPR 2017
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
ACL 2017
Supervised Quantization for Similarity Search
CVPR 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
CVPR 2016
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