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)
Neuromanifold-Regularized KANs for Shape-fair Feature Representations
ICCV 2025
Neuron-Level Sequential Editing for Large Language Models
ACL 2025
Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification
NAACL 2025
Neurosymbolic World Models for Sequential Decision Making
ICML 2025
NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
ACL 2025
New Algorithms for the Learning-Augmented k-means Problem
ICLR 2025
New User Event Prediction Through the Lens of Causal Inference
AISTATS 2025
Next-Level Cantonese-to-Mandarin Translation: Fine-Tuning and Post-Processing with LLMs
COLING 2025
NExtLong: Toward Effective Long-Context Training without Long Documents
ICML 2025
NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks
EMNLP 2025
N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning
ICLR 2025
NightHaze: Nighttime Image Dehazing via Self-Prior Learning
AAAI 2025
NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark
AAAI 2025
NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities
EMNLP 2025
NILE: Internal Consistency Alignment in Large Language Models
EMNLP 2025
NitiBench: Benchmarking LLM Frameworks on Thai Legal Question Answering Capabilities
EMNLP 2025
NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training
CVPR 2025
NL-Eye: Abductive NLI For Images
ICLR 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
NLP-ADBench: NLP Anomaly Detection Benchmark
EMNLP 2025
NLP-Cimat at SemEval-2025 Task 11: Prompt Optimization for LLMs via Genetic Algorithms and Systematic Mutation applied on Emotion Detection
SemEval 2025
NLP_goats at SemEval-2025 Task 11: Multi-Label Emotion Classification Using Fine-Tuned Roberta-Large Tranformer
SemEval 2025
NLP_goats_DravidianLangTech_2025__Detecting_AI_Written_Reviews_for_Consumer_Trust
NAACL 2025
NLP_goats@DravidianLangTech 2025: Detecting Fake News in Dravidian Languages: A Text Classification Approach
NAACL 2025