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)
Align-A-Video: Deterministic Reward Tuning of Image Diffusion Models for Consistent Video Editing
CVPR 2025
AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation
ACL 2025
AlignGuard: Scalable Safety Alignment for Text-to-Image Generation
ICCV 2025
Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection
AAAI 2025
Aligning Black-Box LLMs for Aspect Sentiment Quad Prediction
EMNLP 2025
Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences
AAAI 2025
Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation
AAAI 2025
Aligning Language Models with Demonstrated Feedback
ICLR 2025
Aligning Large Language Models for Faithful Integrity Against Opposing Argument
AAAI 2025
Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering
ACL 2025
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
Aligning Multimodal Representations through an Information Bottleneck
ICML 2025
Aligning Sizes of Intermediate Layers by LoRA Adapter for Knowledge Distillation
NAACL 2025
Aligning Text/Speech Representations from Multimodal Models with MEG Brain Activity During Listening
EMNLP 2025
Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement
CVPR 2025
AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment
CVPR 2025
Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering
CVPR 2025
Alignment with Fill-In-the-Middle for Enhancing Code Generation
EMNLP 2025
Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback
ACL 2025
AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment
EMNLP 2025
A Little Human Data Goes A Long Way
ACL 2025
ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval
EMNLP 2025
AlleNoise - large-scale text classification benchmark dataset with real-world label noise
AISTATS 2025
Alleviating Hallucinations in Large Language Models via Truthfulness-driven Rank-adaptive LoRA
ACL 2025
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
AAAI 2025