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)
Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images
NeurIPS 2024
Dual-Encoders for Extreme Multi-label Classification
ICLR 2024
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
NeurIPS 2024
Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract)
AAAI 2024
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
CVPR 2024
Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection
EMNLP 2024
Dual-Personalizing Adapter for Federated Foundation Models
NeurIPS 2024
Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
NeurIPS 2024
Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection
AAAI 2024
Dual-Phase Accelerated Prompt Optimization
EMNLP 2024
Dual-Pipeline with Low-Rank Adaptation for New Language Integration in Multilingual ASR
Interspeech 2024
Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection
AAAI 2024
Dual Prompt Tuning based Contrastive Learning for Hierarchical Text Classification
ACL 2024
Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
NeurIPS 2024
DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms
ACL 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
NeurIPS 2024
Dual-Space Knowledge Distillation for Large Language Models
EMNLP 2024
Dual-teacher Knowledge Distillation for Low-frequency Word Translation
EMNLP 2024
Dual-View Visual Contextualization for Web Navigation
CVPR 2024
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model
ACML 2024
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
NeurIPS 2024
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
CVPR 2024
DuRE: Dual Contrastive Self Training for Semi-Supervised Relation Extraction
NAACL 2024
DVANet: Disentangling View and Action Features for Multi-View Action Recognition
AAAI 2024
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses
CVPR 2024