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)
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
NeurIPS 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
IJCAI 2024
Unlearning from Weakly Supervised Learning
IJCAI 2024
Unleashing the Potential of Large Language Models through Spectral Modulation
EMNLP 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
ICML 2024
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
ICLR 2024
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression
ACL 2024
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding
ACL 2024
Unlocking Knowledge with OCR-Driven Document Digitization for Peruvian Indigenous Languages
NAACL 2024
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
EMNLP 2024
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation
NAACL 2024
Unlocking the Potential of Global Human Expertise
NeurIPS 2024
Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study
ACL 2024
Unlocking the Potential of Model Merging for Low-Resource Languages
EMNLP 2024
UnMASKed: Quantifying Gender Biases in Masked Language Models through Linguistically Informed Job Market Prompts
EACL 2024
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
ICLR 2024
Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health
IJCAI 2024
Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis
CVPR 2024
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
ICLR 2024
Unpacking Bias: An Empirical Study of Bias Measurement Metrics, Mitigation Algorithms, and Their Interactions
COLING 2024
Unprocessing Seven Years of Algorithmic Fairness
ICLR 2024
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications
EMNLP 2024
Unraveling Batch Normalization for Realistic Test-Time Adaptation
AAAI 2024
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
ICML 2024
Unraveling the Key Components of OOD Generalization via Diversification
ICLR 2024