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)
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion
ICML 2020
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
CVPR 2020
Learning to Adapt to Evolving Domains
NeurIPS 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework
AAAI 2020
Learning to Complement Humans
IJCAI 2020
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
ACL 2020
Learning to Deceive with Attention-Based Explanations
ACL 2020
Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes
NeurIPS 2020
Learning to Fuse Sentences with Transformers for Summarization
EMNLP 2020
Learning to Incorporate Structure Knowledge for Image Inpainting
AAAI 2020
Learning to Learn Single Domain Generalization
CVPR 2020
Learning to Manipulate Deformable Objects without Demonstrations
RSS 2020
Learning to Transfer: Unsupervised Domain Translation via Meta-Learning
AAAI 2020
Learning Video Stabilization Using Optical Flow
CVPR 2020
Learning Voice Representation Using Knowledge Distillation for Automatic Voice Casting
Interspeech 2020
Learning When and Where to Zoom With Deep Reinforcement Learning
CVPR 2020
Learning with Feature and Distribution Evolvable Streams
ICML 2020
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
NeurIPS 2020
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
CVPR 2020
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements
SemEval 2020
LEGAL-BERT: The Muppets straight out of Law School
EMNLP 2020
Length- and Noise-Aware Training Techniques for Short-Utterance Speaker Recognition
Interspeech 2020
Leveraging BERT with Mixup for Sentence Classification (Student Abstract)
AAAI 2020
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
EMNLP 2020
Leveraging Filter Correlations for Deep Model Compression
WACV 2020