Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences
CVPR 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
NeurIPS 2021
Path Planning using Neural A* Search
ICML 2021
PAUL: Procrustean Autoencoder for Unsupervised Lifting
CVPR 2021
PAUSE: Positive and Annealed Unlabeled Sentence Embedding
EMNLP 2021
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition
EMNLP 2021
Pedestrian's Intention Recognition, Fusion of Handcrafted Features in a Deep Learning Approach
AAAI 2021
Peer Collaborative Learning for Online Knowledge Distillation
AAAI 2021
PENS: A Dataset and Generic Framework for Personalized News Headline Generation
ACL 2021
Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA
EMNLP 2021
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
CVPR 2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
NeurIPS 2021
Person30K: A Dual-Meta Generalization Network for Person Re-Identification
CVPR 2021
Personalized Cross-Silo Federated Learning on Non-IID Data
AAAI 2021
Personalized Keyphrase Detection Using Speaker and Environment Information
Interspeech 2021
Personalized Outfit Recommendation With Learnable Anchors
CVPR 2021
Personalized Response Generation with Tensor Factorization
ACL 2021
Personalized Trajectory Prediction via Distribution Discrimination
ICCV 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
EMNLP 2021
PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients
ACML 2021
PGT: A Progressive Method for Training Models on Long Videos
CVPR 2021
PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification
CVPR 2021
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
EMNLP 2021
Phrase-level Active Learning for Neural Machine Translation
EMNLP 2021
Phrase Retrieval Learns Passage Retrieval, Too
EMNLP 2021