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
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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)
CoachGAN
WACV 2020
Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression
AAAI 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
NeurIPS 2020
Collaborative Sampling in Generative Adversarial Networks
AAAI 2020
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
ICML 2020
ColorFool: Semantic Adversarial Colorization
CVPR 2020
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion
WACV 2020
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
EMNLP 2020
Complex-Valued Variational Autoencoder: A Novel Deep Generative Model for Direct Representation of Complex Spectra
Interspeech 2020
Compositional Demographic Word Embeddings
EMNLP 2020
Compositional Language Continual Learning
ICLR 2020
Compositional uncertainty in deep Gaussian processes
UAI 2020
Compositional Visual Generation with Energy Based Models
NeurIPS 2020
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
NeurIPS 2020
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding
NeurIPS 2020
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation
ICML 2020
CompressNet: Generative Compression at Extremely Low Bitrates
WACV 2020
CONAN: Complementary Pattern Augmentation for Rare Disease Detection
AAAI 2020
Conditional Gaussian Distribution Learning for Open Set Recognition
CVPR 2020
Conditional Generative Neural Decoding with Structured CNN Feature Prediction
AAAI 2020
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
EMNLP 2020
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
PGM 2020
Connecting the Dots: Event Graph Schema Induction with Path Language Modeling
EMNLP 2020
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
EMNLP 2020
Consistency Regularization for Generative Adversarial Networks
ICLR 2020