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)
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
NeurIPS 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design
ICML 2024
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
ICML 2024
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
AAAI 2024
DisCo: Disentangled Control for Realistic Human Dance Generation
CVPR 2024
Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining
ACL 2024
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
ICML 2024
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
ICLR 2024
Discovering Preference Optimization Algorithms with and for Large Language Models
NeurIPS 2024
Discovering Syntactic Interaction Clues for Human-Object Interaction Detection
CVPR 2024
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
ICML 2024
Discrete Flow Matching
NeurIPS 2024
Discrete Modeling via Boundary Conditional Diffusion Processes
NeurIPS 2024
Discrete-state Continuous-time Diffusion for Graph Generation
NeurIPS 2024
Discriminative Feature Decoupling Enhancement for Speech Forgery Detection
IJCAI 2024
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
AAAI 2024
Discriminative Probing and Tuning for Text-to-Image Generation
CVPR 2024
Discriminator Guidance for Autoregressive Diffusion Models
AISTATS 2024
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
ICLR 2024
Disentangled 3D Scene Generation with Layout Learning
ICML 2024
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
AAAI 2024
Disentangled Style Domain for Implicit z-Watermark Towards Copyright Protection
NeurIPS 2024
Disentanglement Learning via Topology
ICML 2024
Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
ICLR 2024
Disguised Copyright Infringement of Latent Diffusion Models
ICML 2024