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)
Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration
CVPR 2024
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning
WACV 2024
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
AAAI 2024
ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association
CVPR 2024
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
CVPR 2024
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
ACL 2024
A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers
EMNLP 2024
ADELT: Transpilation between Deep Learning Frameworks
IJCAI 2024
ADFactory: An Effective Framework for Generalizing Optical Flow with NeRF
CVPR 2024
A Diffusion-Based Pre-training Framework for Crystal Property Prediction
AAAI 2024
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
AAAI 2024
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
NeurIPS 2024
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
NeurIPS 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
NeurIPS 2024
Advancing Large Language Model Attribution through Self-Improving
EMNLP 2024
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
ACL 2024
Advancing Post-OCR Correction: A Comparative Study of Synthetic Data
ACL 2024
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning
EMNLP 2024
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss
EMNLP 2024
Advancing Video Anomaly Detection: A Concise Review and a New Dataset
NeurIPS 2024
Advancing Vision-Language Models with Adapter Ensemble Strategies
EMNLP 2024
Advection Augmented Convolutional Neural Networks
NeurIPS 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms
AAAI 2024
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
EMNLP 2024
Adversarial Attacks on the Interpretation of Neuron Activation Maximization
AAAI 2024