Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
5
1
2
47
50
53
51
87
90
125
229
234
453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
'5
'10
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Papers (including subtopics)
On the Detection of Digital Face Manipulation
CVPR 2020
On the Discrepancy between Density Estimation and Sequence Generation
EMNLP 2020
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
AAAI 2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
ACL 2020
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
ICLR 2020
On the equivalence of molecular graph convolution and molecular wave function with poor basis set
NeurIPS 2020
On The Evaluation of Machine Translation Systems Trained With Back-Translation
ACL 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks
NeurIPS 2020
On-The-Fly Information Retrieval Augmentation for Language Models
ACL 2020
On the Generalization Benefit of Noise in Stochastic Gradient Descent
ICML 2020
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
CVPR 2020
On the Generation of Medical Question-Answer Pairs
AAAI 2020
On the Global Convergence of Training Deep Linear ResNets
ICLR 2020
On the Helpfulness of Document Context to Sentence Simplification
COLING 2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks
EMNLP 2020
On the Importance of Diversity in Question Generation for QA
ACL 2020
On the Importance of Tokenization in Arabic Embedding Models
COLING 2020
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
IJCAI 2020
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers
EMNLP 2020
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers
EMNLP 2020
On the Language Neutrality of Pre-trained Multilingual Representations
EMNLP 2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
AAAI 2020
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation
ACL 2020
On the linearity of large non-linear models: when and why the tangent kernel is constant
NeurIPS 2020
On the Modularity of Hypernetworks
NeurIPS 2020