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)
Contrastive Viewpoint-Aware Shape Learning for Long-Term Person Re-Identification
WACV 2024
Controllable Citation Sentence Generation with Language Models
ACL 2024
Controllable Sentence Simplification in Swedish Using Control Prefixes and Mined Paraphrases
COLING 2024
Controllable Text-to-Image Synthesis for Multi-Modality MR Images
WACV 2024
Controlled maximal variability along with reliable performance in recurrent neural networks
NeurIPS 2024
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
AAAI 2024
Controlling Character Motions Without Observable Driving Source
WACV 2024
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
EMNLP 2024
ControlMath: Controllable Data Generation Promotes Math Generalist Models
EMNLP 2024
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
NeurIPS 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
EMNLP 2024
Convergence of No-Swap-Regret Dynamics in Self-Play
NeurIPS 2024
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
AISTATS 2024
Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm
AAAI 2024
Convolutional Masked Image Modeling for Dense Prediction Tasks on Pathology Images
WACV 2024
Convolutional Prompting meets Language Models for Continual Learning
CVPR 2024
Convolution-Augmented Parameter-Efficient Fine-Tuning for Speech Recognition
Interspeech 2024
Co-occurrence is not Factual Association in Language Models
NeurIPS 2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach
AAAI 2024
Cooperative Meta-Learning with Gradient Augmentation
UAI 2024
Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract)
AAAI 2024
CoPL: Contextual Prompt Learning for Vision-Language Understanding
AAAI 2024
CoralSCOP: Segment any COral Image on this Planet
CVPR 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
NeurIPS 2024
Coreference Graph Guidance for Mind-Map Generation
AAAI 2024