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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21
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)
Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers
ACL 2024
Revisiting Single Image Reflection Removal In the Wild
CVPR 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality
EMNLP 2024
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
ICML 2024
RGB-D Mapping and Tracking in a Plenoxel Radiance Field
WACV 2024
RGFN: Synthesizable Molecular Generation Using GFlowNets
NeurIPS 2024
RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks
AAAI 2024
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D
CVPR 2024
Rich Human Feedback for Text-to-Image Generation
CVPR 2024
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
ICLR 2024
Risk Management in Image Generative Models through Model Fingerprinting
AAAI 2024
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
CVPR 2024
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
NeurIPS 2024
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
ICML 2024
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
NeurIPS 2024
RobIR: Robust Inverse Rendering for High-Illumination Scenes
NeurIPS 2024
RoboDreamer: Learning Compositional World Models for Robot Imagination
ICML 2024
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
ICML 2024
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation
NeurIPS 2024
Robust Category-Level 3D Pose Estimation From Diffusion-Enhanced Synthetic Data
WACV 2024
Robust Classification via a Single Diffusion Model
ICML 2024
Robustly overfitting latents for flexible neural image compression
NeurIPS 2024
Robustly Train Normalizing Flows via KL Divergence Regularization
AAAI 2024
Robust Model-Based Optimization for Challenging Fitness Landscapes
ICLR 2024
Robustness-Guided Image Synthesis for Data-Free Quantization
AAAI 2024