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)
A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge
ACL 2022
Answer Quality Aware Aggregation for Extractive QA Crowdsourcing
EMNLP 2022
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition
ACL 2022
Anytime Dense Prediction with Confidence Adaptivity
ICLR 2022
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search
AAAI 2022
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification
Interspeech 2022
APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets
EMNLP 2022
A Perturbation-Based Kernel Approximation Framework
JMLR 2022
APES: Articulated Part Extraction From Sprite Sheets
CVPR 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction
NeurIPS 2022
A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering
EMNLP 2022
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond
CVPR 2022
Application for Real-time Personalized Speaker Extraction
Interspeech 2022
Application-Informed Kernel Synchronization Primitives
OSDI 2022
Applying the Stereotype Content Model to assess disability bias in popular pre-trained NLP models underlying AI-based assistive technologies
ACL 2022
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
AAAI 2022
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
NeurIPS 2022
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers
CVPR 2022
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
COLT 2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
AACL 2022
AQT: Adversarial Query Transformers for Domain Adaptive Object Detection
IJCAI 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
ACL 2022
ARCANE: An Efficient Architecture for Exact Machine Unlearning
IJCAI 2022
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
NeurIPS 2022
A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty
CVPR 2022