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 Vision-and-Language Reasoning via Spatial Relations Modeling
WACV 2024
Improving Word Sense Induction through Adversarial Forgetting of Morphosyntactic Information
NAACL 2024
I’m sure you’re a real scholar yourself: Exploring Ironic Content Generation by Large Language Models
EMNLP 2024
IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract)
AAAI 2024
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
AAAI 2024
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
EMNLP 2024
Inconsistency-Based Data-Centric Active Open-Set Annotation
AAAI 2024
In-Context Compositional Generalization for Large Vision-Language Models
EMNLP 2024
In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis
COLING 2024
In-context Exploration-Exploitation for Reinforcement Learning
ICLR 2024
In-Context Former: Lightning-fast Compressing Context for Large Language Model
EMNLP 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers
NeurIPS 2024
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
NeurIPS 2024
In-Context Matting
CVPR 2024
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
CVPR 2024
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases
EMNLP 2024
Incremental pre-training from smaller language models
ACL 2024
Incremental Residual Concept Bottleneck Models
CVPR 2024
Independency Adversarial Learning for Cross-Modal Sound Separation
AAAI 2024
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning
EMNLP 2024
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS
NeurIPS 2024
Individuation in Neural Models with and without Visual Grounding
EMNLP 2024
INDUS: Effective and Efficient Language Models for Scientific Applications
EMNLP 2024
InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries
ACML 2024
Inference and Verbalization Functions During In-Context Learning
EMNLP 2024