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)
Forget Unlearning: Towards True Data-Deletion in Machine Learning
ICML 2023
FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models
ACL 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
NeurIPS 2023
Formalizing Preferences Over Runtime Distributions
ICML 2023
For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network
AAAI 2023
Foundation Model for Material Science
AAAI 2023
Foundation Model is Efficient Multimodal Multitask Model Selector
NeurIPS 2023
Foundation Models and Fair Use
JMLR 2023
Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task
ACL 2023
FouriDown: Factoring Down-Sampling into Shuffling and Superposing
NeurIPS 2023
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator
ACL 2023
Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI
ACL 2023
Frame Flexible Network
CVPR 2023
FramingFreaks at SemEval-2023 Task 3: Detecting the Category and the Framing of Texts as Subword Units with Traditional Machine Learning
SemEval 2023
FRA-RIR: Fast Random Approximation of the Image-source Method
Interspeech 2023
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
ICCV 2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
CVPR 2023
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models
EMNLP 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
ICLR 2023
Free Lunch for Efficient Textual Commonsense Integration in Language Models
ACL 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
NeurIPS 2023
FreeREA: Training-Free Evolution-Based Architecture Search
WACV 2023
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
AISTATS 2023
Frequency Balanced Datasets Lead to Better Language Models
EMNLP 2023
Frequency Domain-Based Dataset Distillation
NeurIPS 2023