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)
Continual Dialogue State Tracking via Reason-of-Select Distillation
ACL 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
AISTATS 2024
Continual Few-shot Event Detection via Hierarchical Augmentation Networks
COLING 2024
Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition
ACL 2024
Continual Forgetting for Pre-trained Vision Models
CVPR 2024
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy
CVPR 2024
Continual Learning in an Open and Dynamic World
AAAI 2024
Continual Learning in the Frequency Domain
NeurIPS 2024
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
ICLR 2024
Continual learning of multi-modal dynamics with external memory
L4DC 2024
Continual Learning of Unsupervised Monocular Depth From Videos
WACV 2024
Continual Learning Optimizations for Auto-regressive Decoder of Multilingual ASR systems
Interspeech 2024
Continual Learning with Global Alignment
NeurIPS 2024
Continual Learning with Pre-Trained Models: A Survey
IJCAI 2024
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation
ACL 2024
Continual learning with the neural tangent ensemble
NeurIPS 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
CVPR 2024
Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
ICLR 2024
Continual Multimodal Knowledge Graph Construction
IJCAI 2024
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal
IJCAI 2024
Continual Multi-View Clustering with Consistent Anchor Guidance
IJCAI 2024
Continual Reinforcement Learning for Controlled Text Generation
COLING 2024
Continual Relation Extraction via Sequential Multi-Task Learning
AAAI 2024
Continual Segmentation with Disentangled Objectness Learning and Class Recognition
CVPR 2024
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
CVPR 2024