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Methodology
← Learning Types
Deep Learning
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Learning Types
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Deep Learning
1752 directly classified papers
Papers per year
2007: 1
2008: 1
2010: 2
2011: 2
2012: 3
2013: 14
2014: 12
2015: 20
2016: 48
2017: 98
2018: 154
2019: 205
2020: 255
2021: 205
2022: 198
2023: 160
2024: 208
2025: 163
2026: 3
Papers
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras
CVPR 2021
Improving Panoptic Segmentation at All Scales
CVPR 2021
Robust Consistent Video Depth Estimation
CVPR 2021
Restoring Extremely Dark Images in Real Time
CVPR 2021
Image Restoration for Under-Display Camera
CVPR 2021
Deep Learning with Label Differential Privacy
NIPS 2021
From back to the roots into the gated woods: Deep learning for NLP
NAACL 2021
Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification
NAACL 2021
Non-Autoregressive Text Generation with Pre-trained Language Models
EACL 2021
Searching for Search Errors in Neural Morphological Inflection
EACL 2021
Context-aware Neural Machine Translation with Mini-batch Embedding
EACL 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
NIPS 2021
FIND: Human-in-the-Loop Debugging Deep Text Classifiers
EMNLP 2020
What Have We Achieved on Text Summarization?
EMNLP 2020
SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling
EMNLP 2020
Training for Gibbs Sampling on Conditional Random Fields with Neural Scoring Factors
EMNLP 2020
Online Conversation Disentanglement with Pointer Networks
EMNLP 2020
Centering-based Neural Coherence Modeling with Hierarchical Discourse Segments
EMNLP 2020
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning
EMNLP 2020
A State-independent and Time-evolving Network for Early Rumor Detection in Social Media
EMNLP 2020
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020
Multi-Fact Correction in Abstractive Text Summarization
EMNLP 2020
Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data
EMNLP 2020
JBNU at MRP 2020: AMR Parsing Using a Joint State Model for Graph-Sequence Iterative Inference
EMNLP 2020
DeepPaperComposer: A Simple Solution for Training Data Preparation for Parsing Research Papers
EMNLP 2020
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