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
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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)
Free-form Flows: Make Any Architecture a Normalizing Flow
AISTATS 2024
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
NeurIPS 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
NeurIPS 2024
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
ICLR 2024
FreeU: Free Lunch in Diffusion U-Net
CVPR 2024
FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter
Interspeech 2024
Frequency-aware Generative Models for Multivariate Time Series Imputation
NeurIPS 2024
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation
AAAI 2024
FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
CVPR 2024
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
NeurIPS 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs
EMNLP 2024
Frogs into princes: A generative model to understand the success of product descriptions
COLING 2024
From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos
NeurIPS 2024
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs
JMLR 2024
From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
WACV 2024
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
ICML 2024
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
NeurIPS 2024
From Posterior Sampling to Meaningful Diversity in Image Restoration
ICLR 2024
From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue
AAAI 2024
From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items
EMNLP 2024
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis
EMNLP 2024
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
NeurIPS 2024
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
NeurIPS 2024
From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation
ICML 2024
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
ICLR 2024