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)
Robust NAS under adversarial training: benchmark, theory, and beyond
ICLR 2024
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
AAAI 2024
Robustness Verification of Multi-Class Tree Ensembles
AAAI 2024
Robust Neural Contextual Bandit against Adversarial Corruptions
NeurIPS 2024
Robust Node Classification on Graph Data with Graph and Label Noise
AAAI 2024
Robust Noisy Correspondence Learning with Equivariant Similarity Consistency
CVPR 2024
Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators
AISTATS 2024
Robust Nonparametric Regression under Poisoning Attack
AAAI 2024
Robust Object Detection in Challenging Weather Conditions
WACV 2024
Robust Offline Active Learning on Graphs
NeurIPS 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
CVPR 2024
Robust Policy Learning via Offline Skill Diffusion
AAAI 2024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
NeurIPS 2024
Robust Reinforcement Learning with General Utility
NeurIPS 2024
Robust Safety Classifier Against Jailbreaking Attacks: Adversarial Prompt Shield
NAACL 2024
RobustSAM: Segment Anything Robustly on Degraded Images
CVPR 2024
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
NAACL 2024
Robust Singing Voice Transcription Serves Synthesis
ACL 2024
Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination
NeurIPS 2024
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning
AAAI 2024
Robust Text Classification: Analyzing Prototype-Based Networks
EMNLP 2024
Robust Training of Federated Models with Extremely Label Deficiency
ICLR 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
AAAI 2024
Robust Unsupervised Domain Adaptation Through Negative-View Regularization
WACV 2024