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)
Pedagogical Alignment of Large Language Models
EMNLP 2024
Pedagogically Aligned Objectives Create Reliable Automatic Cloze Tests
NAACL 2024
PEDANTS: Cheap but Effective and Interpretable Answer Equivalence
EMNLP 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
CVPR 2024
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
AAAI 2024
Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization
AAAI 2024
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification
EMNLP 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
ACL 2024
PepRec: Progressive Enhancement of Prompting for Recommendation
EMNLP 2024
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
NeurIPS 2024
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization
AAAI 2024
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
ICLR 2024
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
NeurIPS 2024
Perceptual Group Tokenizer: Building Perception with Iterative Grouping
ICLR 2024
Perfect Alignment May be Poisonous to Graph Contrastive Learning
ICML 2024
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search
AAAI 2024
Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect
ACL 2024
Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale
EMNLP 2024
Performative Reinforcement Learning in Gradually Shifting Environments
UAI 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
NeurIPS 2024
Periodic agent-state based Q-learning for POMDPs
NeurIPS 2024
Permutation-Aware Activity Segmentation via Unsupervised Frame-To-Segment Alignment
WACV 2024
Permutation-Based Hypothesis Testing for Neural Networks
AAAI 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences
NeurIPS 2024
Persistence Homology Distillation for Semi-supervised Continual Learning
NeurIPS 2024