Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Evolutionary Contrastive Distillation for Language Model Alignment
EMNLP 2024
Evolving Knowledge Distillation with Large Language Models and Active Learning
COLING 2024
Evolving Subnetwork Training for Large Language Models
ICML 2024
EvoR: Evolving Retrieval for Code Generation
EMNLP 2024
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
ICML 2024
Exactly Minimax-Optimal Locally Differentially Private Sampling
NeurIPS 2024
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets
COLING 2024
EX-Graph: A Pioneering Dataset Bridging Ethereum and X
ICLR 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
CVPR 2024
ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples
ECCV 2024
Expanding Expressiveness of Diffusion Models With Limited Data via Self-Distillation Based Fine-Tuning
WACV 2024
Expanding Sparse Tuning for Low Memory Usage
NeurIPS 2024
Expanding the FLORES+ Multilingual Benchmark with Translations for Aragonese, Aranese, Asturian, and Valencian
EMNLP 2024
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
NeurIPS 2024
Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders
AAAI 2024
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
ICLR 2024
Experiments in Mamba Sequence Modeling and NLLB-200 Fine-Tuning for Low Resource Multilingual Machine Translation
NAACL 2024
Experiments in Multi-Variant Natural Language Processing for Nahuatl
NAACL 2024
Expert-level protocol translation for self-driving labs
NeurIPS 2024
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster
ACL 2024
Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users
CVPR 2024
Explicit Attribute Extraction in e-Commerce Search
COLING 2024
Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation
COLING 2024
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
NeurIPS 2024
Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis
EMNLP 2024