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)
PENS: A Dataset and Generic Framework for Personalized News Headline Generation
ACL 2021
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics
CVPR 2021
Perceptual Score: What Data Modalities Does Your Model Perceive?
NeurIPS 2021
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
CVPR 2021
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks
CVPR 2021
Person30K: A Dual-Meta Generalization Network for Person Re-Identification
CVPR 2021
Personalized Image Semantic Segmentation
ICCV 2021
Personalized Keyphrase Detection Using Speaker and Environment Information
Interspeech 2021
Personalized Response Generation with Tensor Factorization
ACL 2021
Personalized Speech Enhancement Through Self-Supervised Data Augmentation and Purification
Interspeech 2021
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation
ICCV 2021
PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections
OSDI 2021
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
AAAI 2021
PGT: A Progressive Method for Training Models on Long Videos
CVPR 2021
PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media
EACL 2021
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
ICML 2021
Photonic Differential Privacy with Direct Feedback Alignment
NeurIPS 2021
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
NeurIPS 2021
Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes
CVPR 2021
Picking Sequences and Monotonicity in Weighted Fair Division
IJCAI 2021
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
ICCV 2021
Piper: Multidimensional Planner for DNN Parallelization
NeurIPS 2021
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models
ICML 2021
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
ICCV 2021
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
CVPR 2021