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
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'25
Papers (including subtopics)
Compilation of a Synthetic Judeo-French Corpus
EACL 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
AAAI 2024
Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models
ACL 2024
Complex question generation using discourse-based data augmentation
EACL 2024
Compositional Few-Shot Class-Incremental Learning
ICML 2024
Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach
AAAI 2024
Compound Text-Guided Prompt Tuning via Image-Adaptive Cues
AAAI 2024
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding
COLING 2024
Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
ICML 2024
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
CVPR 2024
Compressed Context Memory for Online Language Model Interaction
ICLR 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
ICML 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
AAAI 2024
Compressing Large Language Models by Joint Sparsification and Quantization
ICML 2024
Compressing Large Language Models using Low Rank and Low Precision Decomposition
NeurIPS 2024
Compressing LLMs: The Truth is Rarely Pure and Never Simple
ICLR 2024
Compression with Exact Error Distribution for Federated Learning
AISTATS 2024
Computational Methods for the Analysis of Complementizer Variability in Language and Literature: The Case of Hebrew “she-” and “ki”
EMNLP 2024
Compute Better Spent: Replacing Dense Layers with Structured Matrices
ICML 2024
Computerized Adaptive Testing via Collaborative Ranking
NeurIPS 2024
Computer Vision on the Edge: Individual Cattle Identification in Real-Time With ReadMyCow System
WACV 2024
Computing epidemic metrics with edge differential privacy
AISTATS 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning
AAAI 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
NeurIPS 2024
Concept-Guided Prompt Learning for Generalization in Vision-Language Models
AAAI 2024