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)
TopNet: Structural Point Cloud Decoder
CVPR 2019
Topology Optimization based Graph Convolutional Network
IJCAI 2019
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
ACL 2019
Toward Realistic Image Compositing With Adversarial Learning
CVPR 2019
Towards Accurate One-Stage Object Detection With AP-Loss
CVPR 2019
Towards Architecture-Agnostic Neural Transfer: a Knowledge-Enhanced Approach
IJCAI 2019
Towards Automated Semantic Role Labelling of Hindi-English Code-Mixed Tweets
EMNLP 2019
Towards Better Accuracy and Robustness with Localized Adversarial Training
AAAI 2019
Towards Better Interpretability in Deep Q-Networks
AAAI 2019
Towards Comprehensive Description Generation from Factual Attribute-value Tables
ACL 2019
Towards Debiasing Fact Verification Models
EMNLP 2019
Towards Fine-grained Text Sentiment Transfer
ACL 2019
Towards Fluid Machine Intelligence: Can We Make a Gifted AI?
AAAI 2019
Towards Gene Function Prediction via Multi-Networks Representation Learning
AAAI 2019
Towards High-Fidelity Nonlinear 3D Face Morphable Model
CVPR 2019
Towards Incremental Learning of Word Embeddings Using Context Informativeness
ACL 2019
Towards Language Agnostic Universal Representations
ACL 2019
Towards Latent Attribute Discovery From Triplet Similarities
ICCV 2019
Towards Linear Time Neural Machine Translation with Capsule Networks
EMNLP 2019
Towards Lossless Encoding of Sentences
ACL 2019
Towards Making a Dependency Parser See
EMNLP 2019
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
ACL 2019
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies
AAAI 2019
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer
AAAI 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
CVPR 2019