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)
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding
AAAI 2019
Few-Shot Learning via Saliency-Guided Hallucination of Samples
CVPR 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
ACL 2019
Few-shot Video-to-Video Synthesis
NeurIPS 2019
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
CVPR 2019
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection
ACL 2019
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection
ACL 2019
Fill the GAP: Exploiting BERT for Pronoun Resolution
ACL 2019
Filtering of Noisy Parallel Corpora Based on Hypothesis Generation
ACL 2019
Findings of the First Shared Task on Machine Translation Robustness
ACL 2019
Findings of the Third Workshop on Neural Generation and Translation
EMNLP 2019
Finding Your Voice: The Linguistic Development of Mental Health Counselors
ACL 2019
Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector
AAAI 2019
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
CVPR 2019
Fine-Grained Spoiler Detection from Large-Scale Review Corpora
ACL 2019
Fine-Grained Temporal Relation Extraction
ACL 2019
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
ACL 2019
First Order Motion Model for Image Animation
NeurIPS 2019
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage
CVPR 2019
Fixing the train-test resolution discrepancy
NeurIPS 2019
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions
AAAI 2019
Flow-based Image-to-Image Translation with Feature Disentanglement
NeurIPS 2019
FML: Face Model Learning From Videos
CVPR 2019
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification
ACML 2019
Forecasting Firm Material Events from 8-K Reports
EMNLP 2019