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
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'25
Papers (including subtopics)
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?
EMNLP 2024
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers
EMNLP 2024
Adapting LLMs for Structured Natural Language API Integration
EMNLP 2024
Adapting transformer models to morphological tagging of two highly inflectional languages: a case study on Ancient Greek and Latin
ACL 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
CVPR 2024
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning
EMNLP 2024
Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
NeurIPS 2024
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
EMNLP 2024
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
EMNLP 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
AAAI 2024
Adaptive Domain Learning for Cross-domain Image Denoising
NeurIPS 2024
Adaptive Graph Learning for Multimodal Conversational Emotion Detection
AAAI 2024
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
NeurIPS 2024
Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks
EMNLP 2024
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection
NeurIPS 2024
Adaptive neural network based control approach for building energy control under changing environmental conditions
L4DC 2024
Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models
AAAI 2024
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers
EMNLP 2024
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
CVPR 2024
Adaptive Robust Learning using Latent Bernoulli Variables
ICML 2024
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
CVPR 2024
Adaptive Time-Stepping Schedules for Diffusion Models
UAI 2024
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
EMNLP 2024
Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval
AAAI 2024
Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning
CVPR 2024