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)
ImaGINator: Conditional Spatio-Temporal GAN for Video Generation
WACV 2020
iMetricGAN: Intelligibility Enhancement for Speech-in-Noise Using Generative Adversarial Network-Based Metric Learning
Interspeech 2020
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation
CVPR 2020
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
CVPR 2020
Implicit Generative Modeling for Efficient Exploration
ICML 2020
Implicit Neural Representations with Periodic Activation Functions
NeurIPS 2020
Implicit Rank-Minimizing Autoencoder
NeurIPS 2020
Improved Natural Language Generation via Loss Truncation
ACL 2020
Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction
Interspeech 2020
Improved Speech Enhancement Using a Time-Domain GAN with Mask Learning
Interspeech 2020
Improved Techniques for Training Score-Based Generative Models
NeurIPS 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
NeurIPS 2020
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words
COLING 2020
Improving Arabic Text Categorization Using Transformer Training Diversification
COLING 2020
Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation
Interspeech 2020
Improving ECG Classification Using Generative Adversarial Networks
AAAI 2020
Improving Inference for Neural Image Compression
NeurIPS 2020
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation
EMNLP 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
AISTATS 2020
Improving model calibration with accuracy versus uncertainty optimization
NeurIPS 2020
Improving Molecular Design by Stochastic Iterative Target Augmentation
ICML 2020
Improving Opus Low Bit Rate Quality with Neural Speech Synthesis
Interspeech 2020
Improving Sequence-to-Sequence Semantic Parser for Task Oriented Dialog
EMNLP 2020
Improving Speech Intelligibility Through Speaker Dependent and Independent Spectral Style Conversion
Interspeech 2020
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020