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)
EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models
AAAI 2025
EditCLIP: Representation Learning for Image Editing
ICCV 2025
Editing Across Languages: A Survey of Multilingual Knowledge Editing
EMNLP 2025
EdTec-ItemGen: Enhancing Retrieval-Augmented Item Generation Through Key Point Extraction
ACL 2025
EduCSW: Building a Mandarin-English Code-Switched Generation Pipeline for Computer Science Learning
ACL 2025
EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark
CVPR 2025
EEGMirror: Leveraging EEG Data in the Wild via Montage-Agnostic Self-Supervision for EEG to Video Decoding
ICCV 2025
Eeyore: Realistic Depression Simulation via Expert-in-the-Loop Supervised and Preference Optimization
ACL 2025
Effective Backdoor Learning on Open-Set Face Recognition Systems
WACV 2025
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
AISTATS 2025
Effectively combining Phi-4 and NLLB for Spoken Language Translation: SPRING Lab IITM’s submission to Low Resource Multilingual Indic Track
ACL 2025
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs
NAACL 2025
Effective Training Data Synthesis for Improving MLLM Chart Understanding
ICCV 2025
Effect of Multilingual and Domain-adapted Continual Pre-training on Few-shot Promptability
ACL 2025
Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback
UAI 2025
Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection
ACL 2025
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
ICML 2025
Efficient and Robust Reinforcement Learning from Human Feedback
AAAI 2025
Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response
JMLR 2025
Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data
JMLR 2025
Efficient ASR for Low-Resource Languages: Leveraging Cross-Lingual Unlabeled Data
IJCNLP 2025
Efficient Biological Data Acquisition through Inference Set Design
ICLR 2025
Efficient Causal Decision Making with One-sided Feedback
ICLR 2025
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function
AAAI 2025
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags
IJCAI 2025