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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
20
220
477
4,652
9,258
2000
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'25

Papers (including subtopics)

Adversarial Generative Flow Network for Solving Vehicle Routing Problems ICLR 2025 Adversarial Inception Backdoor Attacks against Reinforcement Learning ICML 2025 Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks AAAI 2025 Adversarial Latent Feature Augmentation for Fairness ICLR 2025 Adversarial Learning Based Knowledge Distillation on 3D Point Clouds WACV 2025 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025 Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings ICLR 2025 Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits AISTATS 2025 Adversarial Machine Unlearning ICLR 2025 Adversarial Mixup Unlearning ICLR 2025 Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning ICLR 2025 Adversarial Preference Learning for Robust LLM Alignment ACL 2025 Adversarial Propensity Weighting for Debiasing in Collaborative Filtering IJCAI 2025 Adversarial Purification via Super-Resolution and Diffusion ICCV 2025 Adversarial Reasoning at Jailbreaking Time ICML 2025 Adversarial Reconstruction Feedback for Robust Fine-grained Generalization ICCV 2025 Adversarial Robust Generalization of Graph Neural Networks ICML 2025 Adversarial Robust Memory-Based Continual Learner ICCV 2025 Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees ICML 2025 Adversarial Robustness of Discriminative Self-Supervised Learning in Vision ICCV 2025 Adversarial Robustness via Deformable Convolution with Stochasticity ICML 2025 Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step ICLR 2025 Adversarial Search Engine Optimization for Large Language Models ICLR 2025 Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data ICLR 2025 Adversarial Training for Defense Against Label Poisoning Attacks ICLR 2025