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)
Disentangling Writer and Character Styles for Handwriting Generation
CVPR 2023
Disfluency Generation for More Robust Dialogue Systems
ACL 2023
Disfluent Cues for Enhanced Speech Understanding in Large Language Models
EMNLP 2023
DisGUIDE: Disagreement-Guided Data-Free Model Extraction
AAAI 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
AAAI 2023
DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media
ACL 2023
Disparate Impact in Differential Privacy from Gradient Misalignment
ICLR 2023
Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis
ACL 2023
Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline
ACL 2023
Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs
ACL 2023
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble
AAAI 2023
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings
EMNLP 2023
Distilling Calibrated Knowledge for Stance Detection
ACL 2023
Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition
CVPR 2023
Distilling Efficient Language-Specific Models for Cross-Lingual Transfer
ACL 2023
Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection
CVPR 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks
ACML 2023
Distilling Internet-Scale Vision-Language Models into Embodied Agents
ICML 2023
Distilling Model Failures as Directions in Latent Space
ICLR 2023
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
CVPR 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
NeurIPS 2023
Distilling Reasoning Capabilities into Smaller Language Models
ACL 2023
Distilling Script Knowledge from Large Language Models for Constrained Language Planning
ACL 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
ACL 2023
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
ACL 2023