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)
Neurodyne: Neural Pitch Manipulation with Representation Learning and Cycle-Consistency GAN
Interspeech 2025
Neuron-Level Sequential Editing for Large Language Models
ACL 2025
Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
ICLR 2025
NeuroSpex+: Dual-Task Training of Neuro-Guided Speaker Extraction with Speech Envelope and Waveform
Interspeech 2025
NextBestPath: Efficient 3D Mapping of Unseen Environments
ICLR 2025
Next-Level Cantonese-to-Mandarin Translation: Fine-Tuning and Post-Processing with LLMs
COLING 2025
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation
CVPR 2025
NightHaze: Nighttime Image Dehazing via Self-Prior Learning
AAAI 2025
NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark
AAAI 2025
NILE: Internal Consistency Alignment in Large Language Models
EMNLP 2025
NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training
CVPR 2025
NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning
EMNLP 2025
NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging
EMNLP 2025
NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
AAAI 2025
NLIP at BEA 2025 Shared Task: Evaluation of Pedagogical Ability of AI Tutors
ACL 2025
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models
EMNLP 2025
NLPART at SemEval-2025 Task 4: Forgetting is harder than Learning
SemEval 2025
NLP-DU at SemEval-2025 Task 11: Analyzing Multi-label Emotion Detection
SemEval 2025
NLPineers@ NLU of Devanagari Script Languages 2025: Hate Speech Detection using Ensembling of BERT-based models
COLING 2025
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models
CVPR 2025
NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning
AAAI 2025
Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising
CVPR 2025
Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory
CVPR 2025
Noisy Correspondence Rectification via Asymmetric Similarity Learning
AAAI 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
ICLR 2025