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
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'25
Papers (including subtopics)
UDA-COPE: Unsupervised Domain Adaptation for Category-Level Object Pose Estimation
CVPR 2022
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units
NeurIPS 2022
uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation
ACL 2022
Ultra-Low-Bitrate Speech Coding with Pretrained Transformers
Interspeech 2022
UMass PCL at SemEval-2022 Task 4: Pre-trained Language Model Ensembles for Detecting Patronizing and Condescending Language
SemEval 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
NeurIPS 2022
Unbiased Math Word Problems Benchmark for Mitigating Solving Bias
NAACL 2022
Uncalibrated Models Can Improve Human-AI Collaboration
NeurIPS 2022
Uncertainty and Inclusivity in Gender Bias Annotation: An Annotation Taxonomy and Annotated Datasets of British English Text
NAACL 2022
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification
NeurIPS 2022
Uncertainty-aware pseudo-labeling for quantum calculations
UAI 2022
Uncertainty Modeling for Out-of-Distribution Generalization
ICLR 2022
Uncovering the Structural Fairness in Graph Contrastive Learning
NeurIPS 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Understanding and Improving Knowledge Distillation for Quantization Aware Training of Large Transformer Encoders
EMNLP 2022
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
NeurIPS 2022
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
ACL 2022
Understanding and Improving the Exemplar-based Generation for Open-domain Conversation
ACL 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
ICML 2022
Understanding Gender Bias in Knowledge Base Embeddings
ACL 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
ICML 2022
Understanding Instance-Level Impact of Fairness Constraints
ICML 2022
Understanding Robust Learning through the Lens of Representation Similarities
NeurIPS 2022
Understanding Simultaneous Train and Test Robustness
ALT 2022
Understanding the Role of Self Attention for Efficient Speech Recognition
ICLR 2022