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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'25
Papers (including subtopics)
Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models
NAACL 2025
Parametric ρ-Norm Scaling Calibration
AAAI 2025
Paraphrase-based Contrastive Learning for Sentence Pair Modeling
NAACL 2025
Paraphrase Makes Perfect: Leveraging Expression Paraphrase to Improve Implicit Sentiment Learning
COLING 2025
ParaRev : Building a dataset for Scientific Paragraph Revision annotated with revision instruction
COLING 2025
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
ACL 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
AAAI 2025
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
ICLR 2025
Pareto Prompt Optimization
ICLR 2025
Pareto Set Identification With Posterior Sampling
AISTATS 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
AAAI 2025
PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages
ACL 2025
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning
EMNLP 2025
Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages
EMNLP 2025
PartField: Learning 3D Feature Fields for Part Segmentation and Beyond
ICCV 2025
Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting
AAAI 2025
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization
AAAI 2025
Partial Label Clustering
IJCAI 2025
Partial-Label Learning with Conformal Candidate Cleaning
UAI 2025
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective
AAAI 2025
Partially Observable Reference Policy Programming
IJCAI 2025
Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction
COLING 2025
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
AAAI 2025
PaSa: An LLM Agent for Comprehensive Academic Paper Search
ACL 2025
PASD: A Pixel-Adaptive Swarm Dynamics Approach for Unsupervised Low-Light Image Enhancement
ICCV 2025