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)
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
ICCV 2025
Exploring the Application of 7B LLMs for Named Entity Recognition in Chinese Ancient Texts
NAACL 2025
Exploring the Camera Bias of Person Re-identification
ICLR 2025
Exploring the Cost-Effectiveness of Perspective Taking in Crowdsourcing Subjective Assessment: A Case Study of Toxicity Detection
NAACL 2025
Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective
AAAI 2025
Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness
ICLR 2025
Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person Retrieval
AAAI 2025
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis
ACL 2025
Exploring the Relationship Between Samples and Masks for Robust Defect Localization
AAAI 2025
Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
WACV 2025
Exploring The Visual Feature Space for Multimodal Neural Decoding
ICCV 2025
Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning
IJCAI 2025
Exploring Transliteration-Based Zero-Shot Transfer for Amharic ASR
ACL 2025
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing
AAAI 2025
Exploring View Consistency for Scene-Adaptive Low-Light Light Field Image Enhancement
ICCV 2025
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models
CVPR 2025
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
AISTATS 2025
Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
ACL 2025
Exposure Bracketing Is All You Need For A High-Quality Image
ICLR 2025
ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation
IJCAI 2025
Extendable and Iterative Structure Learning Strategy for Bayesian Networks
ICLR 2025
Extended Abstract: Probing-Guided Parameter-Efficient Fine-Tuning for Balancing Linguistic Adaptation and Safety in LLM-based Social Influence Systems
ACL 2025
Extending Automatic Machine Translation Evaluation to Book-Length Documents
EMNLP 2025
Extending Temperature Scaling with Homogenizing Maps
JMLR 2025
External Knowledge Injection for CLIP-Based Class-Incremental Learning
ICCV 2025