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)
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
ICLR 2024
CAMAL: A Novel Dataset for Multi-label Conversational Argument Move Analysis
COLING 2024
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
CVPR 2024
CAMBranch: Contrastive Learning with Augmented MILPs for Branching
ICLR 2024
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
NeurIPS 2024
CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition
AAAI 2024
CamemBERT-bio: Leveraging Continual Pre-training for Cost-Effective Models on French Biomedical Data
COLING 2024
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification
AAAI 2024
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
ICLR 2024
CAMOT: Camera Angle-Aware Multi-Object Tracking
WACV 2024
Can Active Label Correction Improve LLM-based Modular AI Systems?
EMNLP 2024
Can Automatic Metrics Assess High-Quality Translations?
EMNLP 2024
Can Biases in ImageNet Models Explain Generalization?
CVPR 2024
Can CLIP Help Sound Source Localization?
WACV 2024
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
ICLR 2024
Can GPT4 Detect Euphemisms across Multiple Languages?
NAACL 2024
Can Implicit Bias Imply Adversarial Robustness?
ICML 2024
Can I trust You? LLMs as conversational agents
EACL 2024
Can Language Models Induce Grammatical Knowledge from Indirect Evidence?
EMNLP 2024
Can Language Models Learn to Skip Steps?
NeurIPS 2024
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
NeurIPS 2024
Can Language Models Recognize Convincing Arguments?
EMNLP 2024
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
EMNLP 2024
Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction
EMNLP 2024
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
EMNLP 2024