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)
OleNet at SemEval-2019 Task 9: BERT based Multi-Perspective Models for Suggestion Mining
SemEval 2019
Omni-Scale Feature Learning for Person Re-Identification
ICCV 2019
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing
NAACL 2019
One-Shot Voice Conversion with Global Speaker Embeddings
Interspeech 2019
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues
ACL 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
NAACL 2019
On Exact Computation with an Infinitely Wide Neural Net
NeurIPS 2019
On GAP Coreference Resolution Shared Task: Insights from the 3rd Place Solution
ACL 2019
On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters
Interspeech 2019
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective
NeurIPS 2019
On Lifted Inference Using Neural Embeddings
AAAI 2019
Online abuse detection: the value of preprocessing and neural attention models
NAACL 2019
Online Hybrid CTC/Attention Architecture for End-to-End Speech Recognition
Interspeech 2019
Online Normalization for Training Neural Networks
NeurIPS 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
NeurIPS 2019
On Network Design Spaces for Visual Recognition
ICCV 2019
On Nonlinear Spatial Filtering in Multichannel Speech Enhancement
Interspeech 2019
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
ICLR 2019
On Retrospecting Human Dynamics with Attention
IJCAI 2019
On Self Modulation for Generative Adversarial Networks
ICLR 2019
On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition
AISTATS 2019
On the Convergence Rate of Training Recurrent Neural Networks
NeurIPS 2019
On the Dynamics of Gradient Descent for Autoencoders
AISTATS 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs
NeurIPS 2019
On the Expressive Power of Deep Polynomial Neural Networks
NeurIPS 2019