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)
Go Wider Instead of Deeper
AAAI 2022
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval
NAACL 2022
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale
NeurIPS 2022
GraDA: Graph Generative Data Augmentation for Commonsense Reasoning
COLING 2022
GraDA: Graph Generative Data Augmentation for Commonsense Reasoning
NAACL 2022
Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks
AAAI 2022
Gradient Based Activations for Accurate Bias-Free Learning
AAAI 2022
Gradient Matching for Domain Generalization
ICLR 2022
Gradual (In)Compatibility of Fairness Criteria
AAAI 2022
GradViT: Gradient Inversion of Vision Transformers
CVPR 2022
Grafting Pre-trained Models for Multimodal Headline Generation
EMNLP 2022
GraftNet: Towards Domain Generalized Stereo Matching With a Broad-Spectrum and Task-Oriented Feature
CVPR 2022
GrainSpace: A Large-Scale Dataset for Fine-Grained and Domain-Adaptive Recognition of Cereal Grains
CVPR 2022
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering
NAACL 2022
Graph-based Model Generation for Few-Shot Relation Extraction
EMNLP 2022
Graph Condensation for Graph Neural Networks
ICLR 2022
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
NeurIPS 2022
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
ICLR 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
ICML 2022
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
ICLR 2022
Graph network simulators can learn discontinuous, rigid contact dynamics
CoRL 2022
Graph Neural Architecture Search Under Distribution Shifts
ICML 2022
Graph Neural Networks for Adapting Off-the-shelf General Domain Language Models to Low-Resource Specialised Domains
NAACL 2022
Graph Neural Networks with Adaptive Readouts
NeurIPS 2022
Graph-Relational Domain Adaptation
ICLR 2022