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)
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
CVPR 2024
Adversarially Robust Hypothesis Transfer Learning
ICML 2024
Adversarially-Robust Inference on Trees via Belief Propagation
COLT 2024
Adversarially Robust Multi-task Representation Learning
NeurIPS 2024
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning
NeurIPS 2024
Adversarial Math Word Problem Generation
EMNLP 2024
Adversarial Moment-Matching Distillation of Large Language Models
NeurIPS 2024
Adversarial Online Collaborative Filtering
ALT 2024
Adversarial Online Learning with Temporal Feedback Graphs
COLT 2024
Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game
ACL 2024
Adversarial Purification with the Manifold Hypothesis
AAAI 2024
Adversarial Robustification via Text-to-Image Diffusion Models
ECCV 2024
Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches
Interspeech 2024
Adversarial Robust Safeguard for Evading Deep Facial Manipulation
AAAI 2024
Adversarial Schrödinger Bridge Matching
NeurIPS 2024
Adversarial Score Distillation: When score distillation meets GAN
CVPR 2024
Adversarial Socialbots Modeling Based on Structural Information Principles
AAAI 2024
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
ICLR 2024
Adversarial Text Generation using Large Language Models for Dementia Detection
EMNLP 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
ICLR 2024
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AAAI 2024
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
CVPR 2024
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
AAAI 2024
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
CVPR 2024
A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategies
EMNLP 2024