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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2
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
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Papers (including subtopics)
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
ICML 2024
Energy-guided Entropic Neural Optimal Transport
ICLR 2024
Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis
AAAI 2024
Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
ACL 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
CVPR 2024
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences
CVPR 2024
Enhancing Advanced Visual Reasoning Ability of Large Language Models
EMNLP 2024
Enhancing Alignment using Curriculum Learning & Ranked Preferences
EMNLP 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
NeurIPS 2024
Enhancing Cross Text-Molecule Learning by Self-Augmentation
ACL 2024
Enhancing CTC-based speech recognition with diverse modeling units
Interspeech 2024
Enhancing High-order Interaction Awareness in LLM-based Recommender Model
EMNLP 2024
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
ICLR 2024
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
AAAI 2024
Enhancing Implicit Shape Generators Using Topological Regularizations
ICML 2024
Enhancing In-context Learning via Linear Probe Calibration
AISTATS 2024
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
AAAI 2024
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing
EMNLP 2024
Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants
EMNLP 2024
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
NeurIPS 2024
Enhancing Multi-Label Classification via Dynamic Label-Order Learning
AAAI 2024
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
ICLR 2024
Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction
COLING 2024
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder
ECCV 2024
Enhancing Polyglot Voices by Leveraging Cross-Lingual Fine-Tuning in Any-to-One Voice Conversion
EMNLP 2024