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)
Don’t Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting
EMNLP 2021
Don’t Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data
ACL 2021
DORO: Distributional and Outlier Robust Optimization
ICML 2021
DOSA: Dravidian Code-Mixed Offensive Span Identification Dataset
EACL 2021
Do Sound Event Representations Generalize to Other Audio Tasks? A Case Study in Audio Transfer Learning
Interspeech 2021
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation
NAACL 2021
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
ICML 2021
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding
AAAI 2021
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
ICML 2021
DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch
AAAI 2021
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
AAAI 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
AISTATS 2021
DPOQ: Dynamic Precision Onion Quantization
ACML 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
NeurIPS 2021
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
CVPR 2021
DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature
EMNLP 2021
DRIVE: One-bit Distributed Mean Estimation
NeurIPS 2021
DRONE: Data-aware Low-rank Compression for Large NLP Models
NeurIPS 2021
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining
IJCAI 2021
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection
ICCV 2021
Dual-Cross Central Difference Network for Face Anti-Spoofing
IJCAI 2021
Dual Distribution Alignment Network for Generalizable Person Re-Identification
AAAI 2021
Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement
CVPR 2021
Dual Path Learning for Domain Adaptation of Semantic Segmentation
ICCV 2021
Dual Reweighting Domain Generalization for Face Presentation Attack Detection
IJCAI 2021