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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'10
'15
'20
'25
Papers (including subtopics)
PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search
IJCAI 2024
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
EMNLP 2024
Precipitation Downscaling with Spatiotemporal Video Diffusion
NeurIPS 2024
Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms
ICML 2024
Precise Model Benchmarking with Only a Few Observations
EMNLP 2024
Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues
EACL 2024
Predicting Entity Salience in Extremely Short Documents
EMNLP 2024
Predicting Future Actions of Reinforcement Learning Agents
NeurIPS 2024
Predicting generalization performance with correctness discriminators
EMNLP 2024
Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments
NAACL 2024
Predicting Label Distribution from Ternary Labels
NeurIPS 2024
Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity
EACL 2024
Predicting Mandarin and Cantonese Adult Speakers’ Eye-Movement Patterns in Natural Reading
EACL 2024
Predicting Narratives of Climate Obstruction in Social Media Advertising
ACL 2024
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens
EACL 2024
Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning
AAAI 2024
Predicting the Performance of Foundation Models via Agreement-on-the-Line
NeurIPS 2024
Prediction Error-based Classification for Class-Incremental Learning
ICLR 2024
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
IJCAI 2024
Predictive auxiliary objectives in deep RL mimic learning in the brain
ICLR 2024
Predictive Inference with Weak Supervision
JMLR 2024
Predictive, scalable and interpretable knowledge tracing on structured domains
ICLR 2024
PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection
EMNLP 2024
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
IJCAI 2024
Preemptive Answer “Attacks” on Chain-of-Thought Reasoning
ACL 2024