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)
An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract)
AAAI 2021
An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model
EMNLP 2021
An Evaluation of Data Augmentation Methods for Sound Scene Geotagging
Interspeech 2021
An Examination of Fairness of AI Models for Deepfake Detection
IJCAI 2021
An Importance Weighted Feature Selection Stability Measure
JMLR 2021
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
Interspeech 2021
An Information-Geometric Distance on the Space of Tasks
ICML 2021
An Information-theoretic Approach to Distribution Shifts
NeurIPS 2021
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework
NAACL 2021
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis
EMNLP 2021
Annealing Knowledge Distillation
EACL 2021
A Noise Robust Method for Word-Level Pronunciation Assessment
Interspeech 2021
A (Non)-Perfect Match: Mapping plWordNet onto PrincetonWordNet
EACL 2021
Anonymisation Models for Text Data: State of the art, Challenges and Future Directions
ACL 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
ACL 2021
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline
EACL 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation
ACL 2021
Antipodes of Label Differential Privacy: PATE and ALIBI
NeurIPS 2021
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
NeurIPS 2021
An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood (Student Abstract)
AAAI 2021
An Unsupervised Deep Learning Approach for Real-World Image Denoising
ICLR 2021
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task
ACL 2021
Any-Precision Deep Neural Networks
AAAI 2021
Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices
CoRL 2021
Anytime Inference with Distilled Hierarchical Neural Ensembles
AAAI 2021