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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10
11
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
'5
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'15
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Papers (including subtopics)
Learning Long-Context Diffusion Policies via Past-Token Prediction
CoRL 2025
Learning Mixtures of Gaussians Using Diffusion Models
COLT 2025
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
AAAI 2025
Learning Optimal Auctions with Correlated Value Distributions
AAAI 2025
Learning Optimal Prosody Embedding Codebook based on F0 and Energy
Interspeech 2025
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
ICML 2025
Learning Physics-Based Full-Body Human Reaching and Grasping from Brief Walking References
CVPR 2025
Learning Robust Image Watermarking with Lossless Cover Recovery
ICCV 2025
Learning Robust Multi-view Representation Using Dual-masked VAEs
IJCAI 2025
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
ICML 2025
Learning Single Index Models with Diffusion Priors
ICML 2025
Learning Spatiotemporal Dynamical Systems from Point Process Observations
ICLR 2025
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
ICLR 2025
Learning Temporally Consistent Video Depth from Video Diffusion Priors
CVPR 2025
Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
ICML 2025
Learning to Describe Implicit Changes: Noise-robust Pre-training for Image Difference Captioning
EMNLP 2025
Learning to Discretize Denoising Diffusion ODEs
ICLR 2025
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels
ICLR 2025
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
ACL 2025
Learning to Match Unpaired Data with Minimum Entropy Coupling
ICML 2025
Learning to Quantize for Training Vector-Quantized Networks
ICML 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
CVPR 2025
Learning to See in the Extremely Dark
ICCV 2025
Learning Vision and Language Concepts for Controllable Image Generation
ICML 2025
Learning Visual Generative Priors without Text
CVPR 2025