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)
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
EMNLP 2024
Auto-Evolve: Enhancing Large Language Model’s Performance via Self-Reasoning Framework
EMNLP 2024
Auto-Linear Phenomenon in Subsurface Imaging
ICML 2024
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing
AAAI 2024
Automated Defect Report Generation for Enhanced Industrial Quality Control
AAAI 2024
Automated Multi-level Preference for MLLMs
NeurIPS 2024
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)
AAAI 2024
Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition
WACV 2024
Automatically Suggesting Diverse Example Sentences for L2 Japanese Learners Using Pre-Trained Language Models
ACL 2024
Automatic Detection of Hearing Loss from Children's Speech using wav2vec 2.0 Features
Interspeech 2024
Automatic Engineering of Long Prompts
ACL 2024
Automatic Instruction Evolving for Large Language Models
EMNLP 2024
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
AAAI 2024
Autonomous Improvement of Instruction Following Skills via Foundation Models
CoRL 2024
AutoRef: Generating Refinements of Reviews Given Guidelines
ACL 2024
Autoregressive Image Generation without Vector Quantization
NeurIPS 2024
Autoregressive Pre-Training on Pixels and Texts
EMNLP 2024
AutoTrain: No-code training for state-of-the-art models
EMNLP 2024
AvatarGPT: All-in-One Framework for Motion Understanding Planning Generation and Beyond
CVPR 2024
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
NeurIPS 2024
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability
CVPR 2024
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection
CVPR 2024
A Vision Check-up for Language Models
CVPR 2024
AV-RIR: Audio-Visual Room Impulse Response Estimation
CVPR 2024
A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract)
AAAI 2024