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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'10
'15
'20
'25
Papers (including subtopics)
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
CVPR 2024
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
ICLR 2024
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
CVPR 2024
Task-Agnostic Detector for Insertion-Based Backdoor Attacks
NAACL 2024
TaskBench: Benchmarking Large Language Models for Task Automation
NeurIPS 2024
Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
CVPR 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
NeurIPS 2024
Task Contamination: Language Models May Not Be Few-Shot Anymore
AAAI 2024
Task-Customized Mixture of Adapters for General Image Fusion
CVPR 2024
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection
CVPR 2024
Task-Driven Wavelets using Constrained Empirical Risk Minimization
CVPR 2024
Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster
AAAI 2024
Task-Free Dynamic Sparse Vision Transformer for Continual Learning
AAAI 2024
Task-oriented Time Series Imputation Evaluation via Generalized Representers
NeurIPS 2024
Task Planning for Object Rearrangement in Multi-Room Environments
AAAI 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
NeurIPS 2024
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation
ACL 2024
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation
AAAI 2024
Taxonomy Driven Fast Adversarial Training
AAAI 2024
TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model
CVPR 2024
TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning
WACV 2024
TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control
EMNLP 2024
TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement
AAAI 2024
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
NeurIPS 2024
Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios
ACL 2024