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
'10
'15
'20
'25
Papers (including subtopics)
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
AAAI 2025
FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images
CVPR 2025
FRET: Feature Redundancy Elimination for Test Time Adaptation
ICCV 2025
Frictional Agent Alignment Framework: Slow Down and Don’t Break Things
ACL 2025
from Benign import Toxic: Jailbreaking the Language Model via Adversarial Metaphors
ACL 2025
From Charts to Fair Narratives: Uncovering and Mitigating Geo-Economic Biases in Chart-to-Text
EMNLP 2025
From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization
AAAI 2025
From Curiosity to Clarity : Exploring the Impact of Consecutive Why-Questions
NAACL 2025
From English-Centric to Effective Bilingual: LLMs with Custom Tokenizers for Underrepresented Languages
ACL 2025
From English to Second Language Mastery: Enhancing LLMs with Cross-Lingual Continued Instruction Tuning
ACL 2025
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation
EMNLP 2025
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration
CVPR 2025
From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning
ICCV 2025
From Human Reading to NLM Understanding: Evaluating the Role of Eye-Tracking Data in Encoder-Based Models
ACL 2025
From Image to Video: An Empirical Study of Diffusion Representations
ICCV 2025
From Imitation to Innovation: The Emergence of AI's Unique Artistic Styles and the Challenge of Copyright Protection
ICCV 2025
From Imitation to Introspection: Probing Self-Consciousness in Language Models
ACL 2025
From In-Distribution to Out-of-Distribution: Joint Loss for Improving Generalization in Software Mention and Relation Extraction
ACL 2025
From Individual to Universal: Regularized Multi-view Joint Representation for Multi-view Subspace-Preserving Recovery
IJCAI 2025
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
NAACL 2025
From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations
ICCV 2025
From Lists to Emojis: How Format Bias Affects Model Alignment
ACL 2025
From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding
EMNLP 2025
From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models
ACL 2025
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
ACL 2025