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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'20
'25
Papers (including subtopics)
Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling
ICLR 2025
Nonlinear Causal Discovery for Grouped Data
UAI 2025
Nonlinear functional regression by functional deep neural network with kernel embedding
JMLR 2025
Nonlinear Sequence Embedding by Monotone Variational Inequality
ICLR 2025
Nonparametric Factor Analysis and Beyond
AISTATS 2025
Non-Standard Accent TTS Support via Large Multi-Accent Frontend Pronunciation Knowledge Transfer
Interspeech 2025
Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback
AAAI 2025
NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary
CVPR 2025
No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition
CVPR 2025
No-Regret Bayesian Optimization with Stochastic Observation Failures
AISTATS 2025
NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models
NAACL 2025
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
AAAI 2025
Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization
COLING 2025
No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size
COLING 2025
Nota AI at GenAI Detection Task 1: Unseen Language-Aware Detection System for Multilingual Machine-Generated Text
COLING 2025
NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms
IJCAI 2025
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing
EMNLP 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 Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models
EMNLP 2025
Not Just a Piece of Cake: Cross-Lingual Fine-Tuning for Idiom Identification
IJCNLP 2025
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions
EMNLP 2025
Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization
EMNLP 2025
Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events
ACL 2025
Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss
EMNLP 2025