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)
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain
EMNLP 2022
When Is TTS Augmentation Through a Pivot Language Useful?
Interspeech 2022
When Phonetics Meets Morphology: Intervocalic Voicing Within and Across Words in Romance Languages
Interspeech 2022
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits
NeurIPS 2022
When the Student Becomes the Master: Learning Better and Smaller Monolingual Models from mBERT
COLING 2022
When to Intervene: Learning Optimal Intervention Policies for Critical Events
NeurIPS 2022
When To Prune? A Policy Towards Early Structural Pruning
CVPR 2022
When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters
IJCAI 2022
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
ICLR 2022
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection
EMNLP 2022
Why Bad Coffee? Explaining BDI Agent Behaviour with Valuings (Extended Abstract)
IJCAI 2022
Why Do Artificially Generated Data Help Adversarial Robustness
NeurIPS 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness
AAAI 2022
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection
COLING 2022
Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT
NAACL 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
EMNLP 2022
Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
EMNLP 2022
WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification
Interspeech 2022
Width & Depth Pruning for Vision Transformers
AAAI 2022
WildNet: Learning Domain Generalized Semantic Segmentation From the Wild
CVPR 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
NeurIPS 2022
Wind Prediction under Random Data Corruption (Student Abstract)
AAAI 2022
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
ICML 2022
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream
ICLR 2022
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
ICLR 2022