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
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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
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Papers (including subtopics)
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons
EMNLP 2024
Efficient LLM Scheduling by Learning to Rank
NeurIPS 2024
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
NeurIPS 2024
Efficient Planning with Latent Diffusion
ICLR 2024
Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling
ICML 2024
Efficient Score Matching with Deep Equilibrium Layers
ICLR 2024
Efficient Sequential Decision Making with Large Language Models
EMNLP 2024
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge
EMNLP 2024
Efficient Test-Time Adaptation of Vision-Language Models
CVPR 2024
Efficient Training with Denoised Neural Weights
ECCV 2024
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
ICLR 2024
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
NeurIPS 2024
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset
CVPR 2024
EFSA: Towards Event-Level Financial Sentiment Analysis
ACL 2024
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
NeurIPS 2024
EigenVI: score-based variational inference with orthogonal function expansions
NeurIPS 2024
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation
CVPR 2024
ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis
ICML 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
AAAI 2024
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence
EMNLP 2024
Elucidating the design space of classifier-guided diffusion generation
ICLR 2024
Elucidating the Exposure Bias in Diffusion Models
ICLR 2024
EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling
CVPR 2024
EM Distillation for One-step Diffusion Models
NeurIPS 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
NeurIPS 2024