Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
PoliTo at SemEval-2025 Task 1: Beyond Literal Meaning: A Chain-of-Though Approach for Multimodal Idiomacity Understanding
SemEval 2025
Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications
ICML 2025
PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech
EMNLP 2025
PoolAtnRes: Towards Generalisable Differential Morphing Attack Detection
WACV 2025
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
ACL 2025
Population Normalization for Federated Learning
CVPR 2025
POS-Aware Neural Approaches for Word Alignment in Dravidian Languages
COLING 2025
Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset
AAAI 2025
PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation
AAAI 2025
Pose-Star: Anatomy-Aware Editing for Open-World Fashion Images
ICCV 2025
Position also matters! Separating Same Instruments in String Quartet using Timbral and Positional Cues
Interspeech 2025
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research
ICML 2025
Position-Aware Depth Decay Decoding (D3): Boosting Large Language Model Inference Efficiency
ACL 2025
Position-Aware Guided Point Cloud Completion with CLIP Model
AAAI 2025
POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation
EMNLP 2025
Position: Deep Learning is Not So Mysterious or Different
ICML 2025
Positive Experience Reflection for Agents in Interactive Text Environments
ACL 2025
Potential Field Based Deep Metric Learning
CVPR 2025
Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning
AAAI 2025
PQR: Improving Dense Retrieval via Potential Query Modeling
ACL 2025
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors
AAAI 2025
Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria
ACL 2025
PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree
NAACL 2025
P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts
ACL 2025
Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance
CVPR 2025