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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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)
When Do GANs Replicate? On the Choice of Dataset Size
ICCV 2021
When Do You Need Billions of Words of Pretraining Data?
ACL 2021
Where and What? Examining Interpretable Disentangled Representations
CVPR 2021
Whittle Networks: A Deep Likelihood Model for Time Series
ICML 2021
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
NeurIPS 2021
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
NeurIPS 2021
Wine is not v i n. On the Compatibility of Tokenizations across Languages
EMNLP 2021
Winning Lottery Tickets in Deep Generative Models
AAAI 2021
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation
ACL 2021
WSRGlow: A Glow-Based Waveform Generative Model for Audio Super-Resolution
Interspeech 2021
XOR-CD: Linearly Convergent Constrained Structure Generation
ICML 2021
Y2-Net FCRN for Acoustic Echo and Noise Suppression
Interspeech 2021
You should evaluate your language model on marginal likelihood over tokenisations
EMNLP 2021
Zero-shot Synthesis with Group-Supervised Learning
ICLR 2021
12-in-1: Multi-Task Vision and Language Representation Learning
CVPR 2020
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model
MIDL 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away
ACL 2020
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping
NeurIPS 2020
ACFlow: Flow Models for Arbitrary Conditional Likelihoods
ICML 2020
A Character-Centric Neural Model for Automated Story Generation
AAAI 2020
A Characteristic Function Approach to Deep Implicit Generative Modeling
CVPR 2020
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations
CVPR 2020
A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction
ACL 2020
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning
Interspeech 2020
A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract)
AAAI 2020