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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Papers (including subtopics)
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
AAAI 2025
Adaptive Retention & Correction: Test-Time Training for Continual Learning
ICLR 2025
Adaptive Reward Design for Reinforcement Learning
UAI 2025
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
AAAI 2025
Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence
AAAI 2025
Adaptive teachers for amortized samplers
ICLR 2025
Adaptive Threshold Sampling for Pure Exploration in Submodular Bandits
UAI 2025
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
ACL 2025
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender
EMNLP 2025
A Dataset for Programming-based Instructional Video Classification and Question Answering
COLING 2025
A Dataset of Ancient Chinese Math Word Problems and an Application for Research in Historic Mathematics
NAACL 2025
AdaWorld: Learning Adaptable World Models with Latent Actions
ICML 2025
ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
AAAI 2025
ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification
ICLR 2025
Adding Conditional Control to Diffusion Models with Reinforcement Learning
ICLR 2025
Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection
COLING 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
EMNLP 2025
Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling
AAAI 2025
Addressing Hallucination in Causal Q&A: The Efficacy of Fine-tuning over Prompting in LLMs
COLING 2025
Addressing Label Shift in Distributed Learning via Entropy Regularization
ICLR 2025
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection
AAAI 2025
Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
ICCV 2025
Addressing the Training-Inference Discrepancy in Discrete Diffusion for Text Generation
COLING 2025
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
AAAI 2025
A Denoising Pre-training Framework for Accelerating Novel Material Discovery
AAAI 2025