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)
No Need for Explanations: LLMs can implicitly learn from mistakes in-context
EMNLP 2025
Nonlinear functional regression by functional deep neural network with kernel embedding
JMLR 2025
Non-Natural Image Understanding with Advancing Frequency-based Vision Encoders
CVPR 2025
Nonparametric Distributional Regression via Quantile Regression
AISTATS 2025
Non-Standard Accent TTS Support via Large Multi-Accent Frontend Pronunciation Knowledge Transfer
Interspeech 2025
Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
ICML 2025
No Pose at All: Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views
ICCV 2025
Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution
ICCV 2025
Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance
EMNLP 2025
Not All Terms Matter: Recall-Oriented Adaptive Learning for PLM-aided Query Expansion in Open-Domain Question Answering
ACL 2025
Not All Wrong is Bad: Using Adversarial Examples for Unlearning
ICML 2025
NOTA: Multimodal Music Notation Understanding for Visual Large Language Model
NAACL 2025
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
CVPR 2025
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
AAAI 2025
NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
EMNLP 2025
NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism
UAI 2025
NTA at SemEval-2025 Task 11: Enhanced Multilingual Textual Multi-label Emotion Detection via Integrated Augmentation Learning
SemEval 2025
NTClick: Achieving Precise Interactive Segmentation With Noise-tolerant Clicks
CVPR 2025
NTTSU at WMT2025 General Translation Task
EMNLP 2025
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping
ICCV 2025
Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection
CVPR 2025
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
AAAI 2025
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
AAAI 2025
NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts
ACL 2025
NUST Titans at SemEval-2025 Task 11: AfroEmo: Multilingual Emotion Detection with Adaptive Afro-XLM-R
SemEval 2025