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
'5
'10
'15
'20
'25
Papers (including subtopics)
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
NeurIPS 2024
PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning
ACML 2024
PiShield: A PyTorch Package for Learning with Requirements
IJCAI 2024
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
AISTATS 2024
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models
EMNLP 2024
PixT3: Pixel-based Table-To-Text Generation
ACL 2024
PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes
EMNLP 2024
PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks
EMNLP 2024
PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis
CVPR 2024
PLAES: Prompt-generalized and Level-aware Learning Framework for Cross-prompt Automated Essay Scoring
COLING 2024
Plan, Generate and Complicate: Improving Low-resource Dialogue State Tracking via Easy-to-Difficult Zero-shot Data Augmentation
ACL 2024
Planning and Editing What You Retrieve for Enhanced Tool Learning
NAACL 2024
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
ICLR 2024
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
WACV 2024
Platform-Invariant Topic Modeling via Contrastive Learning to Mitigate Platform-Induced Bias
EMNLP 2024
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal
ACL 2024
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning
EMNLP 2024
PLIP: Language-Image Pre-training for Person Representation Learning
NeurIPS 2024
Plug and Play Active Learning for Object Detection
CVPR 2024
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
ICLR 2024
Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring
IJCAI 2024
Plug-In Diffusion Model for Sequential Recommendation
AAAI 2024
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
ACL 2024
Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking across Diverse Vocabularies
EMNLP 2024
PMAC: Personalized Multi-Agent Communication
AAAI 2024