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)
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
WACV 2024
An Analysis of Multilingual FActScore
EMNLP 2024
An Analysis of Quantile Temporal-Difference Learning
JMLR 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning
NeurIPS 2024
An Analytic Solution to Covariance Propagation in Neural Networks
AISTATS 2024
An Approach towards Unsupervised Text Simplification on Paragraph-Level for German Texts
COLING 2024
An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
CVPR 2024
An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants
JMLR 2024
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
AAAI 2024
An Audit on the Perspectives and Challenges of Hallucinations in NLP
EMNLP 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
NAACL 2024
Anchor-based Robust Finetuning of Vision-Language Models
CVPR 2024
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
AAAI 2024
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy
ACL 2024
AND: Audio Network Dissection for Interpreting Deep Acoustic Models
ICML 2024
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
NeurIPS 2024
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning
AAAI 2024
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization
AAAI 2024
An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution
NAACL 2024
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification
EMNLP 2024
An effective framework for estimating individualized treatment rules
NeurIPS 2024
An Effective Local Prototypical Mapping Network for Speech Emotion Recognition
Interspeech 2024
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
NeurIPS 2024
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
ICML 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
AISTATS 2024