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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'15
'20
'25
Papers (including subtopics)
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
NeurIPS 2024
Robust ASR Error Correction with Conservative Data Filtering
EMNLP 2024
Robust Classification via Regression for Learning with Noisy Labels
ICLR 2024
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-Centric Learning
WACV 2024
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
ICML 2024
Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence
NeurIPS 2024
Robust Contrastive Multi-view Kernel Clustering
IJCAI 2024
Robust Counterfactual Explanations in Machine Learning: A Survey
IJCAI 2024
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
CVPR 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract)
COLT 2024
Robust Entropy Search for Safe Efficient Bayesian Optimization
UAI 2024
Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models
AAAI 2024
Robust exploration with adversary via Langevin Monte Carlo
L4DC 2024
Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning
WACV 2024
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
AAAI 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction
NeurIPS 2024
Robust group and simultaneous inferences for high-dimensional single index model
NeurIPS 2024
Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation
COLING 2024
Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection
IJCAI 2024
Robust Image Denoising through Adversarial Frequency Mixup
CVPR 2024
Robust Laughter Segmentation with Automatic Diverse Data Synthesis
Interspeech 2024
Robust Learning via Conditional Prevalence Adjustment
WACV 2024
Robust Loss Functions for Training Decision Trees with Noisy Labels
AAAI 2024
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
AAAI 2024
Robustly Train Normalizing Flows via KL Divergence Regularization
AAAI 2024