Models
20,488 papers (23 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Generative Models (8,597)
Diffusion Models (6,478)
Large Language Models (2,815)
Variational Inference (2,186)
Vision-Language Models (839)
Language Models (763)
Foundation Models (330)
Language Modeling (92)
Variational Autoencoders (67)
Neural Radiance Fields (46)
Sequence-to-Sequence (42)
Variational Autoencoder (24)
Papers per year
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2
10
11
10
13
21
25
32
42
29
68
99
237
538
946
1,088
1,362
1,486
2,589
4,304
5,567
2,006
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Papers (including subtopics)
Mask-Guided Portrait Editing With Conditional GANs
CVPR 2019
Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data
ICCV 2019
Max-Sliced Wasserstein Distance and Its Use for GANs
CVPR 2019
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
IJCAI 2019
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
NeurIPS 2019
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
ICML 2019
Meta-Learning with Latent Embedding Optimization
ICLR 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
NeurIPS 2019
MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer
AAAI 2019
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
ICML 2019
Metric Learning on Healthcare Data with Incomplete Modalities
IJCAI 2019
MIGAN: Malware Image Synthesis Using GANs
AAAI 2019
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters
ICLR 2019
Minimum Divergence vs. Maximum Margin: an Empirical Comparison on Seq2Seq Models
ICLR 2019
MintNet: Building Invertible Neural Networks with Masked Convolutions
NeurIPS 2019
MirrorGAN: Learning Text-To-Image Generation by Redescription
CVPR 2019
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
ICLR 2019
MITRE at SemEval-2019 Task 5: Transfer Learning for Multilingual Hate Speech Detection
SemEval 2019
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
ICML 2019
Mixtape: Breaking the Softmax Bottleneck Efficiently
NeurIPS 2019
Mixture Density Generative Adversarial Networks
CVPR 2019
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder
EMNLP 2019
Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders
EMNLP 2019
Modeling Tabular data using Conditional GAN
NeurIPS 2019
Modeling the Long Term Future in Model-Based Reinforcement Learning
ICLR 2019