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)
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
ICML 2022
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs
NeurIPS 2022
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data
NAACL 2022
On the effectiveness of adversarial training against common corruptions
UAI 2022
On the Effects of Artificial Data Modification
ICML 2022
On the Epistemic Limits of Personalized Prediction
NeurIPS 2022
On the Fairness of Causal Algorithmic Recourse
AAAI 2022
On-the-fly adaptation of patrolling strategies in changing environments
UAI 2022
On the Generalizability and Predictability of Recommender Systems
NeurIPS 2022
On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing
ACL 2022
On the Impact of Noises in Crowd-Sourced Data for Speech Translation
ACL 2022
On the Impact of Spurious Correlation for Out-of-Distribution Detection
AAAI 2022
On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints
AAAI 2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
ACL 2022
On the Limitations of Reference-Free Evaluations of Generated Text
EMNLP 2022
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets
ACL 2022
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
NAACL 2022
On the portability of extractive Question-Answering systems on scientific papers to real-life application scenarios
AACL 2022
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract)
AAAI 2022
On the Road to Online Adaptation for Semantic Image Segmentation
CVPR 2022
On the Tradeoff Between Robustness and Fairness
NeurIPS 2022
Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification
NeurIPS 2022
On Transportation of Mini-batches: A Hierarchical Approach
ICML 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
NeurIPS 2022
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
CVPR 2022