Architectures
30,950 papers (33 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
3
15
13
18
17
27
39
43
74
94
221
536
912
1,611
2,559
3,004
3,504
3,729
4,021
4,550
4,519
1,439
'10
'15
'20
'25
Papers (including subtopics)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
ICML 2019
Efficient Neural Network Verification with Exactness Characterization
UAI 2019
Efficient On-Device Models using Neural Projections
ICML 2019
Efficient optimization of loops and limits with randomized telescoping sums
ICML 2019
Effort-Aware Neural Automatic Post-Editing
ACL 2019
EGG: a toolkit for research on Emergence of lanGuage in Games
EMNLP 2019
Eigencharacter: An Embedding of Chinese Character Orthography
EMNLP 2019
ELASTIC: Improving CNNs With Dynamic Scaling Policies
CVPR 2019
ELF: Embedded Localisation of Features in Pre-Trained CNN
ICCV 2019
ELiRF-UPV at SemEval-2019 Task 3: Snapshot Ensemble of Hierarchical Convolutional Neural Networks for Contextual Emotion Detection
SemEval 2019
Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution
ICCV 2019
Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches
SemEval 2019
Embedding Complementary Deep Networks for Image Classification
CVPR 2019
Embedding Symbolic Knowledge into Deep Networks
NeurIPS 2019
Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue
IJCAI 2019
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception
CVPR 2019
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
ICLR 2019
EmoDet at SemEval-2019 Task 3: Emotion Detection in Text using Deep Learning
SemEval 2019
EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text
SemEval 2019
EmoSense at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations
SemEval 2019
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-Resource Settings
Interspeech 2019
Employing Bottleneck and Convolutional Features for Speech-Based Physical Load Detection on Limited Data Amounts
Interspeech 2019
Employing Deep Part-Object Relationships for Salient Object Detection
ICCV 2019
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
NeurIPS 2019
Encoder-decoder models for latent phonological representations of words
ACL 2019