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)
Detecting Attended Visual Targets in Video
CVPR 2020
Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News
EMNLP 2020
Detecting Entailment in Code-Mixed Hindi-English Conversations
EMNLP 2020
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only
EMNLP 2020
Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation
EMNLP 2020
Detecting Interactions from Neural Networks via Topological Analysis
NeurIPS 2020
Detecting Out-of-Distribution Examples with Gram Matrices
ICML 2020
Detecting Perceived Emotions in Hurricane Disasters
ACL 2020
Detecting Semantic Anomalies
AAAI 2020
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
EMNLP 2020
Detection of Mental Health from Reddit via Deep Contextualized Representations
EMNLP 2020
Detection of Voicing and Place of Articulation of Fricatives with Deep Learning in a Virtual Speech and Language Therapy Tutor
Interspeech 2020
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning
EMNLP 2020
Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract)
AAAI 2020
Deterministic Value-Policy Gradients
AAAI 2020
Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT
ACL 2020
Developing a New Classifier for Automated Identification of Incivility in Social Media
EMNLP 2020
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability
Interspeech 2020
DFQF: Data Free Quantization-aware Fine-tuning
ACML 2020
DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation
AAAI 2020
Dialogue Coherence Assessment Without Explicit Dialogue Act Labels
ACL 2020
DIANet: Dense-and-Implicit Attention Network
AAAI 2020
Dice Loss for Data-imbalanced NLP Tasks
ACL 2020
DiDi’s Machine Translation System for WMT2020
EMNLP 2020
“Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word Embeddings
EMNLP 2020