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
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Papers (including subtopics)
One-Shot Prompt for Language Variety Identification
NAACL 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization
NeurIPS 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
AAAI 2024
One Step Learning, One Step Review
AAAI 2024
One-to-Many Communication and Compositionality in Emergent Communication
EMNLP 2024
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
NeurIPS 2024
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
CVPR 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
NeurIPS 2024
On Harmonizing Implicit Subpopulations
ICLR 2024
On Hypothesis Transfer Learning of Functional Linear Models
ICML 2024
On Large Language Models’ Hallucination with Regard to Known Facts
NAACL 2024
On Leakage of Code Generation Evaluation Datasets
EMNLP 2024
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
ECCV 2024
On learning history-based policies for controlling Markov decision processes
AISTATS 2024
On Learning to Summarize with Large Language Models as References
NAACL 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts
NeurIPS 2024
Online Bayesian Persuasion Without a Clue
NeurIPS 2024
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
AAAI 2024
Online Calibrated and Conformal Prediction Improves Bayesian Optimization
AISTATS 2024
Online Classification with Predictions
NeurIPS 2024
Online Class-Incremental Learning for Real-World Food Image Classification
WACV 2024
Online Composite Optimization Between Stochastic and Adversarial Environments
NeurIPS 2024
Online Consistency of the Nearest Neighbor Rule
NeurIPS 2024
Online Continual Learning for Interactive Instruction Following Agents
ICLR 2024
Online Control with Adversarial Disturbance for Continuous-time Linear Systems
NeurIPS 2024