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
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Papers (including subtopics)
Preserving Modality Structure Improves Multi-Modal Learning
ICCV 2023
Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models
EMNLP 2023
PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
EMNLP 2023
Pretrained Bidirectional Distillation for Machine Translation
ACL 2023
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
EMNLP 2023
Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
ACL 2023
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition
EMNLP 2023
Pre-training Vision Transformers with Very Limited Synthesized Images
ICCV 2023
Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk
ICML 2023
Primal-Dual Algorithms with Predictions for Online Bounded Allocation and Ad-Auctions Problems
ALT 2023
Principled Approaches for Private Adaptation from a Public Source
AISTATS 2023
Principled Out-of-Distribution Detection via Multiple Testing
JMLR 2023
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
CVPR 2023
Prior-guided Source-free Domain Adaptation for Human Pose Estimation
ICCV 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
NeurIPS 2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
NeurIPS 2023
Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization
ACL 2023
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?
NeurIPS 2023
Privacy Attacks on Schedule-Driven Data
AAAI 2023
Privacy Auditing with One (1) Training Run
NeurIPS 2023
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
ICML 2023
Privacy Aware Question-Answering System for Online Mental Health Risk Assessment
ACL 2023
Privacy-Aware Rejection Sampling
JMLR 2023
Privacy Implications of Retrieval-Based Language Models
EMNLP 2023
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression
AAAI 2023