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)
On the Robustness of Distributed Machine Learning Against Transfer Attacks
AAAI 2025
On the Similarities of Embeddings in Contrastive Learning
ICML 2025
On the Tolerance of Repetition Before Performance Degradation in Kiswahili Automatic Speech Recognition
ACL 2025
On the Within-class Variation Issue in Alzheimer's Disease Detection
Interspeech 2025
On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach
CVPR 2025
On Which Data Distribution (Synthetic or Real) We Should Rely for Soft Biometric Classification
WACV 2025
OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning
AAAI 2025
OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On
AAAI 2025
O_O-VC: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion
EMNLP 2025
Open Ad-hoc Categorization with Contextualized Feature Learning
CVPR 2025
Open-Canopy: Towards Very High Resolution Forest Monitoring
CVPR 2025
Open-Det: An Efficient Learning Framework for Open-Ended Detection
ICML 2025
OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation
CVPR 2025
OpenM3D: Open Vocabulary Multi-view Indoor 3D Object Detection without Human Annotations
ICCV 2025
OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework
EMNLP 2025
OpenS2S: Advancing Fully Open-Source End-to-End Empathetic Large Speech Language Model
EMNLP 2025
Open-Set Living Need Prediction with Large Language Models
ACL 2025
Open-Set Source Tracing of Audio Deepfake Systems
Interspeech 2025
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
EMNLP 2025
OpenViewer: Openness-Aware Multi-View Learning
AAAI 2025
Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning
AAAI 2025
OPI-DRO-HEL at at SemEval-2025 Task 11: Few-shot prompting for Text-based Emotion Recognition
SemEval 2025
Optical-Flow Guided Prompt Optimization for Coherent Video Generation
CVPR 2025
Optimal Distributed Training With Co-Adaptive Data Parallelism in Heterogeneous Environments
IJCAI 2025
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation
AISTATS 2025