Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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2
47
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87
90
125
229
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453
859
1,652
3,233
5,368
6,434
7,726
8,506
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12,524
14,487
6,029
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Papers (including subtopics)
Using Unsupervised Learning for Data-driven Procurement Demand Aggregation
AAAI 2021
Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction
EMNLP 2021
UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention
EACL 2021
UV-Net: Learning From Boundary Representations
CVPR 2021
UWSpeech: Speech to Speech Translation for Unwritten Languages
AAAI 2021
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP
ACL 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning
CVPR 2021
VAD-Free Streaming Hybrid CTC/Attention ASR for Unsegmented Recording
Interspeech 2021
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
ICLR 2021
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries
EMNLP 2021
Value-aware Approximate Attention
EMNLP 2021
Value-Decomposition Multi-Agent Actor-Critics
AAAI 2021
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers
ICCV 2021
Variable-Rate Deep Image Compression Through Spatially-Adaptive Feature Transform
ICCV 2021
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
AISTATS 2021
Variance Penalized On-Policy and Off-Policy Actor-Critic
AAAI 2021
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
ICCV 2021
Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition
Interspeech 2021
Variational Continual Bayesian Meta-Learning
NeurIPS 2021
Variational Data Assimilation with a Learned Inverse Observation Operator
ICML 2021
Variational Diffusion Models
NeurIPS 2021
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
ICML 2021
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
ICCV 2021
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
ICML 2021
Variational Inference for Continuous-Time Switching Dynamical Systems
NeurIPS 2021