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)
Analysis of Phonetic Level Similarities Across Languages in Emotional Speech
Interspeech 2025
Analysis of Semantic and Acoustic Token Variability Across Speech, Music, and Audio Domains
Interspeech 2025
Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling
AAAI 2025
Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models
Interspeech 2025
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
EMNLP 2025
Analyzing the Importance of Blank for CTC-Based Knowledge Distillation
Interspeech 2025
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns
ACL 2025
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity
AISTATS 2025
Analyzing the Sensitivity of Vision Language Models in Visual Question Answering
ACL 2025
Anatomy-Guided Surface Diffusion Model for Alzheimer’s Disease Normative Modeling
MIDL 2025
An Attention-Based Neural Translation System for English to Bodo
EMNLP 2025
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
ICML 2025
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
AAAI 2025
AndroidGen: Building an Android Language Agent under Data Scarcity
ACL 2025
AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents
ACL 2025
An Effective Anomalous Sound Detection Method Based on Global and Local Attribute Mining
Interspeech 2025
An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning
ACL 2025
An Empirical Study of Autoregressive Pre-training from Videos
ICCV 2025
An Empirical Study of Federated Prompt Learning for Vision Language Model
IJCAI 2025
An Empirical Study of Iterative Refinements for Non-autoregressive Translation
ACL 2025
An Empirical Study of Many-to-Many Summarization with Large Language Models
ACL 2025
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation
EMNLP 2025
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency
AAAI 2025
A New Adversarial Perspective for LiDAR-based 3D Object Detection
AAAI 2025
An Exploratory Framework for LLM-assisted Human Annotation of Speech Datasets
Interspeech 2025