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)
Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation
CVPR 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
AAAI 2025
Unleashing the Potential of Model Bias for Generalized Category Discovery
AAAI 2025
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation
AAAI 2025
Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem
EMNLP 2025
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation
ICCV 2025
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts
NAACL 2025
Unlocking LLM Safeguards for Low-Resource Languages via Reasoning and Alignment with Minimal Training Data
EMNLP 2025
Unlocking LLMs’ Self-Improvement Capacity with Autonomous Learning for Domain Adaptation
ACL 2025
Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning
AAAI 2025
Unlocking the Potential of Reverse Distillation for Anomaly Detection
AAAI 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
CVPR 2025
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
ICLR 2025
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
AAAI 2025
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
EMNLP 2025
Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models
ACL 2025
unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
ICML 2025
Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion
AAAI 2025
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
ACL 2025
Unraveling Misinformation Propagation in LLM Reasoning
EMNLP 2025
Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
ICCV 2025
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
ACL 2025
Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems
ACL 2025
UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs’ Memorization
ACL 2025
Unseen Visual Anomaly Generation
CVPR 2025