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)
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
nlptuducd at SemEval-2025 Task 10: Narrative Classification as a Retrieval Task through Story Embeddings
SemEval 2025
NlpUned at SemEval-2025 Task 10: Beyond Training: A Taxonomy-Guided Approach to Role Classification Using LLMs
SemEval 2025
No Annotations for Object Detection in Art through Stable Diffusion
WACV 2025
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
EMNLP 2025
Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising
ICCV 2025
Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making
EMNLP 2025
Noise-Aware Evaluation of Object Detectors
WACV 2025
Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising
CVPR 2025
Noise Optimized Conditional Diffusion for Domain Adaptation
IJCAI 2025
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning
AAAI 2025
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
IJCAI 2025
Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
ICLR 2025
Noisy Correspondence Rectification via Asymmetric Similarity Learning
AAAI 2025
Noisy Label Calibration for Multi-View Classification
AAAI 2025
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation
AAAI 2025
Noisy Test-Time Adaptation in Vision-Language Models
ICLR 2025
‘No’ Matters: Out-of-Distribution Detection in Multimodality Multi-Turn Interactive Dialogue Download PDF
ACL 2025
No More Sibling Rivalry: Debiasing Human-Object Interaction Detection
ICCV 2025
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
AAAI 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
ICLR 2025
Non-directive corpus annotation to reveal individual perspectives with underspecified guidelines: the case of mental workload
EMNLP 2025
No Need for Explanations: LLMs can implicitly learn from mistakes in-context
EMNLP 2025
Non-Emotion-Centric Empathetic Dialogue Generation
COLING 2025