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)
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field
NeurIPS 2024
ProxEdit: Improving Tuning-Free Real Image Editing With Proximal Guidance
WACV 2024
Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens
AAAI 2024
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration
EMNLP 2024
Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach
EACL 2024
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity
CVPR 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models
ACL 2024
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
EMNLP 2024
PTQ4DiT: Post-training Quantization for Diffusion Transformers
NeurIPS 2024
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs’ Pragmatics Capabilities
ACL 2024
PuLID: Pure and Lightning ID Customization via Contrastive Alignment
NeurIPS 2024
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness
EMNLP 2024
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
NeurIPS 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
ICML 2024
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
AAAI 2024
QGAN: Low Footprint Quaternion Neural Vocoder for Speech Synthesis
Interspeech 2024
QGFN: Controllable Greediness with Action Values
NeurIPS 2024
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction
CVPR 2024
QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism
EMNLP 2024
QTIP: Quantization with Trellises and Incoherence Processing
NeurIPS 2024
QUADify: Extracting Meshes with Pixel-level Details and Materials from Images
CVPR 2024
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model
ACL 2024
Quality-Diversity Generative Sampling for Learning with Synthetic Data
AAAI 2024
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs
EMNLP 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
NeurIPS 2024