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)
Adaptive Parameter Selection for Tuning Vision-Language Models
CVPR 2025
Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval
AAAI 2025
Adaptive Prompt Learning via Gaussian Outlier Synthesis for Out-of-distribution Detection
ICCV 2025
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
AAAI 2025
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home
ACL 2025
Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers
ICLR 2025
Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation
AAAI 2025
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
ACL 2025
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
ICML 2025
AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding
ACL 2025
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
AAAI 2025
A Dataset for Automatic Assessment of TTS Quality in Spanish
Interspeech 2025
AdaWM: Adaptive World Model based Planning for Autonomous Driving
ICLR 2025
AdaWorld: Learning Adaptable World Models with Latent Actions
ICML 2025
ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement
ICCV 2025
ADCeleb: A Longitudinal Speech Dataset from Public Figures for Early Detection of Alzheimer’s Disease
Interspeech 2025
ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution
CVPR 2025
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
ICLR 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
EMNLP 2025
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
ACL 2025
Addressing Label Shift in Distributed Learning via Entropy Regularization
ICLR 2025
Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
ICCV 2025
Addressing Task Conflicts in Stuttering Detection via MMoE-Based Multi-Task Learning
Interspeech 2025
A Decade's Battle on Dataset Bias: Are We There Yet?
ICLR 2025
A Deep Learning Method for Document Shadow Removal with Sobel Prior under Mask Supervision
AAAI 2025