Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models
AAAI 2021
Physics-informed Spline Learning for Nonlinear Dynamics Discovery
IJCAI 2021
Physics-penalised Regularisation for Learning Dynamics Models with Contact
L4DC 2021
PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net With Discrete Feedback Learning
ICCV 2021
PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering
CVPR 2021
PID-Based Approach to Adversarial Attacks
AAAI 2021
PILOT: Introducing Transformers for Probabilistic Sound Event Localization
Interspeech 2021
P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion
EMNLP 2021
PiRank: Scalable Learning To Rank via Differentiable Sorting
NeurIPS 2021
Pivot Based Transfer Learning for Neural Machine Translation: CFILT IITB @ WMT 2021 Triangular MT
EMNLP 2021
Pixel Codec Avatars
CVPR 2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
ICCV 2021
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
CVPR 2021
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss
CVPR 2021
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
ICLR 2021
Planning and Reinforcement Learning for General-Purpose Service Robots
IJCAI 2021
Planning Multimodal Exploratory Actions for Online Robot Attribute Learning
RSS 2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
IJCAI 2021
PLATO-KAG: Unsupervised Knowledge-Grounded Conversation via Joint Modeling
EMNLP 2021
Play to Grade: Testing Coding Games as Classifying Markov Decision Process
NeurIPS 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
NeurIPS 2021
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction
ACL 2021
PLOP: Learning Without Forgetting for Continual Semantic Segmentation
CVPR 2021
PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context
ACL 2021
Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation
NAACL 2021