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)
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models
EMNLP 2025
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
CVPR 2025
Phaedrus at BEA 2025 Shared Task: Assessment of Mathematical Tutoring Dialogues through Tutor Identity Classification and Actionability Evaluation
ACL 2025
PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching
ICLR 2025
Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training
EMNLP 2025
PHD: Personalized 3D Human Body Fitting with Point Diffusion
ICCV 2025
Ph-GAN: Physics-Inspired GAN for Generating SAR Images Under Limited Data
ICCV 2025
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
ICLR 2025
Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time
EMNLP 2025
Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction
CVPR 2025
Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes
AAAI 2025
PhoniTale: Phonologically Grounded Mnemonic Generation for Typologically Distant Language Pairs
EMNLP 2025
Phonotomizer: A Compact, Unsupervised, Online Training Approach to Real-Time, Multilingual Phonetic Segmentation
ACL 2025
PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack
AAAI 2025
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
ICLR 2025
Physical Adversarial Camouflage Through Gradient Calibration and Regularization
IJCAI 2025
PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions
EMNLP 2025
Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
ICML 2025
Physics-Enforced Reservoir Computing for Forecasting Spatiotemporal Systems
L4DC 2025
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science
AAAI 2025
Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems
ICLR 2025
Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models
ICML 2025
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning
ICLR 2025
PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark
ICLR 2025
PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning
ACL 2025