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)
Pretrained Speech Encoders and Efficient Fine-tuning Methods for Speech Translation: UPC at IWSLT 2022
ACL 2022
Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese
NAACL 2022
Pre-training Language Models with Deterministic Factual Knowledge
EMNLP 2022
Pre-Train, Self-Train, Distill: A Simple Recipe for Supersizing 3D Reconstruction
CVPR 2022
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data
WACV 2022
Preventing sensitive-word recognition using self-supervised learning to preserve user-privacy for automatic speech recognition
Interspeech 2022
Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives
CVPR 2022
Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping
JMLR 2022
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning
AAAI 2022
Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce
AAAI 2022
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
ICML 2022
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection
AAAI 2022
Privacy Amplification by Decentralization
AISTATS 2022
Privacy Amplification by Subsampling in Time Domain
AISTATS 2022
Privacy Amplification via Shuffling for Linear Contextual Bandits
ALT 2022
Privacy-aware compression for federated data analysis
UAI 2022
Privacy for Free: How does Dataset Condensation Help Privacy?
ICML 2022
Privacy Implications of Shuffling
ICLR 2022
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation
NeurIPS 2022
Privacy Leakage in Text Classification A Data Extraction Approach
NAACL 2022
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss
NeurIPS 2022
Privacy Pitfalls of Online Service Terms and Conditions: a Hybrid Approach for Classification and Summarization
EMNLP 2022
Privacy-Preserving Face Recognition in the Frequency Domain
AAAI 2022
Privacy-Preserving Models for Legal Natural Language Processing
EMNLP 2022
Private Adaptive Optimization with Side information
ICML 2022