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)
OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching
ACL 2025
P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts
ACL 2025
p²-TQA: A Process-based Preference Learning Framework for Self-Improving Table Question Answering Models
IJCNLP 2025
PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency
ICCV 2025
Page Stream Segmentation with LLMs: Challenges and Applications in Insurance Document Automation
COLING 2025
PahGen: Generating Ancient Pahlavi Text via Grammar-guided Zero-shot Translation
NAACL 2025
PAI at SemEval-2025 Task 11: A Large Language Model Ensemble Strategy for Text-Based Emotion Detection
SemEval 2025
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
AAAI 2025
Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
ICLR 2025
Pairwise Prompt-Based Tuning with Parameter Efficient Fast Adaptation for Generalized Zero-Shot Intent Detection
NAACL 2025
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements
EMNLP 2025
PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment
IJCAI 2025
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation
AAAI 2025
PANDA - Paired Anti-hate Narratives Dataset from Asia: Using an LLM-as-a-Judge to Create the First Chinese Counterspeech Dataset
COLING 2025
PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling
ICML 2025
Pangram at GenAI Detection Task 3: An Active Learning Approach to Machine-Generated Text Detection
COLING 2025
PapersPlease: A Benchmark for Evaluating Motivational Values of Large Language Models Based on ERG Theory
ACL 2025
Parabolic Continual Learning
AISTATS 2025
Paragraph-level Error Correction and Explanation Generation: Case Study for Estonian
ACL 2025
Parallel Corpora for Machine Translation in Low-Resource Indic Languages: A Comprehensive Review
NAACL 2025
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
AAAI 2025
Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths
ACL 2025
Parameter-Efficient Fine-Tuning via Circular Convolution
ACL 2025
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors
IJCAI 2025
Parameter estimation in state space models using particle importance sampling
AISTATS 2025