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)
Improving Low-Resource Morphological Inflection via Self-Supervised Objectives
ACL 2025
Improving Multilingual Speech Models on ML-SUPERB 2.0: Fine-tuning with Data Augmentation and LID-Aware CTC
Interspeech 2025
Improving Multimodal Learning Balance and Sufficiency through Data Remixing
ICML 2025
Improving Named Entity Recognition for Low-Resource Languages Using Large Language Models: A Ukrainian Case Study
ACL 2025
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
AAAI 2025
Improving Online Job Advertisement Analysis via Compositional Entity Extraction
EMNLP 2025
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
ICML 2025
Improving Pelvic MR-CT Image Alignment with Self-Supervised Reference-Augmented Pseudo-CT Generation Framework
WACV 2025
Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization
AISTATS 2025
Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles
Interspeech 2025
Improving Retrieval Augmented Language Model with Self-Reasoning
AAAI 2025
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
EMNLP 2025
Improving Sentiment Analysis for Ukrainian Social Media Code-Switching Data
ACL 2025
Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model
Interspeech 2025
Improving Synthetic Data Training for Contextual Biasing Models with a Keyword-Aware Cost Function
Interspeech 2025
Improving Table Retrieval with Question Generation from Partial Tables
ACL 2025
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs
EMNLP 2025
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics
ACL 2025
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
CVPR 2025
Improving Transferable Targeted Attacks with Feature Tuning Mixup
CVPR 2025
Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration
CVPR 2025
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
ICML 2025
Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning
CVPR 2025
In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images
AAAI 2025
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
ICML 2025