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
1
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
'5
'10
'15
'20
'25
Papers (including subtopics)
Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images
AAAI 2023
Robustness of Named-Entity Replacements for In-Context Learning
EMNLP 2023
Robust Scheduling with GFlowNets
ICLR 2023
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection
AISTATS 2023
Robust Weak Supervision with Variational Auto-Encoders
ICML 2023
RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
CVPR 2023
Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention
EMNLP 2023
ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense
EMNLP 2023
Rosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word–Definition Alignment
EMNLP 2023
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
ICLR 2023
S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion
Interspeech 2023
S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction
ACL 2023
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
ICCV 2023
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
EMNLP 2023
SAE-NTM: Sentence-Aware Encoder for Neural Topic Modeling
ACL 2023
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
CVPR 2023
Sam Miller at SemEval-2023 Task 5: Classification and Type-specific Spoiler Extraction Using XLNET and Other Transformer Models
SemEval 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
NeurIPS 2023
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
ICLR 2023
SANGEA: Scalable and Attributed Network Generation
ACML 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
NeurIPS 2023
SASPEECH: A Hebrew Single Speaker Dataset for Text To Speech and Voice Conversion
Interspeech 2023
Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs
ICCV 2023
Scalable Adaptive Computation for Iterative Generation
ICML 2023
Scalable Diffusion Models with Transformers
ICCV 2023