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)
Auto Encoding Neural Process for Multi-interest Recommendation
AAAI 2025
Automated Claim–Evidence Extraction for Political Discourse Analysis: A Large Language Model Approach to Rodong Sinmun Editorials
ACL 2025
Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach
EMNLP 2025
Automated Scoring of a German Written Elicited Imitation Test
ACL 2025
Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity
AAAI 2025
Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
ICML 2025
Automatic classification of stop realisation with wav2vec2.0
Interspeech 2025
Automatic concept extraction for learning domain modeling: A weakly supervised approach using contextualized word embeddings
ACL 2025
Automatic Evaluation for Text-to-image Generation: Task-decomposed Framework, Distilled Training, and Meta-evaluation Benchmark
ACL 2025
Automatic Labeling and Correction of Noisy Labels for Robust Self-Supervised Speaker Verification
Interspeech 2025
Automatic Text Segmentation of Ancient and Historic Hebrew
NAACL 2025
Automating Violence Detection and Categorization from Ancient Texts
NAACL 2025
AutoMixer: Checkpoint Artifacts as Automatic Data Mixers
ACL 2025
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
AAAI 2025
Autoregressive Distillation of Diffusion Transformers
CVPR 2025
Autoregressive Sequence Modeling for 3D Medical Image Representation
AAAI 2025
Autoregressive Sequential Pretraining for Visual Tracking
CVPR 2025
Auto-Regressive Transformation for Image Alignment
ICCV 2025
AutoSpec: An Agentic Framework for Automatically Drafting Patent Specification
EMNLP 2025
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
CVPR 2025
A Variational Information Theoretic Approach to Out-of-Distribution Detection
ICML 2025
Averroes at BEA 2025 Shared Task: Verifying Mistake Identification in Tutor, Student Dialogue
ACL 2025
A Vision Foundation Model for Cataract Surgery Using Joint-Embedding Predictive Architecture
MIDL 2025
Avoidance Decoding for Diverse Multi-Branch Story Generation
EMNLP 2025
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter
AAAI 2025