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)
LaRA: Large Rank Adaptation for Speech and Text Cross-Modal Learning in Large Language Models
EMNLP 2024
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning
EMNLP 2024
Large Language Models Are Challenged by Habitat-Centered Reasoning
EMNLP 2024
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
AAAI 2024
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
ACL 2024
Large Language Models are In-context Teachers for Knowledge Reasoning
EMNLP 2024
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks
EMNLP 2024
Large Language Models as Optimizers
ICLR 2024
Large Language Models Can Be Contextual Privacy Protection Learners
EMNLP 2024
Large Language Models can Share Images, Too!
ACL 2024
Large Language Models for Propaganda Span Annotation
EMNLP 2024
Large Language Models for Time Series: A Survey
IJCAI 2024
Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA
EMNLP 2024
Large Language Models Must Be Taught to Know What They Don’t Know
NeurIPS 2024
Large Language Models Relearn Removed Concepts
ACL 2024
Large Occluded Human Image Completion via Image-Prior Cooperating
AAAI 2024
Large Vision-Language Models as Emotion Recognizers in Context Awareness
ACML 2024
LaSCal: Label-Shift Calibration without target labels
NeurIPS 2024
LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction
NeurIPS 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
CVPR 2024
Latent Concept-based Explanation of NLP Models
EMNLP 2024
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
WACV 2024
Latent Functional Maps: a spectral framework for representation alignment
NeurIPS 2024
Latent Learningscape Guided In-context Learning
ACL 2024
Latent Representation Entropy Density for Distribution Shift Detection
UAI 2024