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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

2
21
68
1,088
5,567
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Papers (including subtopics)

PolyGen: An Autoregressive Generative Model of 3D Meshes ICML 2020 Posterior Control of Blackbox Generation ACL 2020 PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction EMNLP 2020 PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes CVPR 2020 Practical No-box Adversarial Attacks against DNNs NeurIPS 2020 Precision-Recall Curves Using Information Divergence Frontiers AISTATS 2020 Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control ICLR 2020 Prediction of Head Motion from Speech Waveforms with a Canonical-Correlation-Constrained Autoencoder Interspeech 2020 Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 2020 Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders ACL 2020 Pretrained Language Model Embryology: The Birth of ALBERT EMNLP 2020 Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning ACL 2020 Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models ACL 2020 Principal Style Components: Expressive Style Control and Cross-Speaker Transfer in Neural TTS Interspeech 2020 Prior Guided GAN Based Semantic Inpainting CVPR 2020 Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order ACL 2020 Probabilistic Circuits for Variational Inference in Discrete Graphical Models NeurIPS 2020 Probabilistic Graphical Models with Neural Networks in InferPy PGM 2020 Probabilistic Pixel-Adaptive Refinement Networks CVPR 2020 Probabilistic Structural Latent Representation for Unsupervised Embedding CVPR 2020 Probabilistic Video Prediction From Noisy Data With a Posterior Confidence CVPR 2020 Probing Pretrained Language Models for Lexical Semantics EMNLP 2020 PROGRESSIVE LEARNING AND DISENTANGLEMENT OF HIERARCHICAL REPRESENTATIONS ICLR 2020 Provable Smoothness Guarantees for Black-Box Variational Inference ICML 2020 PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer CVPR 2020