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
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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)
Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud
AAAI 2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
NeurIPS 2020
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation
CVPR 2020
PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network
AAAI 2020
PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation
EMNLP 2020
Phonetic and Visual Priors for Decipherment of Informal Romanization
ACL 2020
Phonological Features for 0-Shot Multilingual Speech Synthesis
Interspeech 2020
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
CVPR 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection
CVPR 2020
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
ICLR 2020
Picking Winning Tickets Before Training by Preserving Gradient Flow
ICLR 2020
PIQA: Reasoning about Physical Commonsense in Natural Language
AAAI 2020
Pitfalls of Learning a Reward Function Online
IJCAI 2020
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
NeurIPS 2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
CoRL 2020
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection
IJCAI 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans
L4DC 2020
Plan ahead: Self-Supervised Text Planning for Paragraph Completion Task
EMNLP 2020
Planning to Explore via Self-Supervised World Models
ICML 2020
Planning with Abstract Learned Models While Learning Transferable Subtasks
AAAI 2020
PLANS: Neuro-Symbolic Program Learning from Videos
NeurIPS 2020
Plugin Networks for Inference under Partial Evidence
WACV 2020
p-Norm Flow Diffusion for Local Graph Clustering
ICML 2020
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss
Interspeech 2020
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification
CVPR 2020