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)
DisCEdit: Model Editing by Identifying Discriminative Components
NeurIPS 2024
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint
ACL 2024
DisCo: Disentangled Control for Realistic Human Dance Generation
CVPR 2024
Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision
EACL 2024
Discovering and Mitigating Biases in CLIP-Based Image Editing
WACV 2024
Discovering and Mitigating Visual Biases through Keyword Explanation
CVPR 2024
Discovering Environments with XRM
ICML 2024
Discovering plasticity rules that organize and maintain neural circuits
NeurIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models
NeurIPS 2024
Discovering Robotic Interaction Modes with Discrete Representation Learning
CoRL 2024
Discovering Sequential Patterns with Predictable Inter-event Delays
AAAI 2024
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching
AAAI 2024
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
NeurIPS 2024
Discrete Latent Perspective Learning for Segmentation and Detection
ICML 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
AISTATS 2024
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
AAAI 2024
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation
CVPR 2024
Discriminative Probing and Tuning for Text-to-Image Generation
CVPR 2024
Discriminator Guidance for Autoregressive Diffusion Models
AISTATS 2024
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer
ACL 2024
Disentangled Pre-Training for Image Matting
WACV 2024
Disentangled Style Domain for Implicit z-Watermark Towards Copyright Protection
NeurIPS 2024
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)
AAAI 2024
Disentangling Length from Quality in Direct Preference Optimization
ACL 2024
DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking
EMNLP 2024