Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
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'25
Papers (including subtopics)
Excluding the Impossible for Open Vocabulary Semantic Segmentation
AAAI 2025
ExcluIR: Exclusionary Neural Information Retrieval
AAAI 2025
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
AAAI 2025
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
ACL 2025
Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion
ACL 2025
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference
AAAI 2025
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
EMNLP 2025
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
ACL 2025
Expectation Preference Optimization: Reliable Preference Estimation for Improving the Reasoning Capability of Large Language Models
EMNLP 2025
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
EMNLP 2025
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach
AAAI 2025
Explainable Saliency: Articulating Reasoning with Contextual Prioritization
CVPR 2025
EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary
ACL 2025
Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification
CVPR 2025
Explaining the role of Intrinsic Dimensionality in Adversarial Training
ICML 2025
Explanation Bottleneck Models
AAAI 2025
Explicit and Implicit Data Augmentation for Social Event Detection
ACL 2025
Explicit Learning and the LLM in Machine Translation
EMNLP 2025
Explicitly Guided Difficulty-Controllable Visual Question Generation
AAAI 2025
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
AAAI 2025
Exploiting Contextual Knowledge in LLMs through 𝒱-usable Information based Layer Enhancement
ACL 2025
Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction
AAAI 2025
Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training
AAAI 2025
Exploiting Prompt-induced Confidence for Black-Box Attacks on LLMs
EMNLP 2025
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
IJCAI 2025