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)
Hybrid Enhanced Universal Dependencies Parsing
ACL 2020
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition
CVPR 2020
Hypergraph Label Propagation Network
AAAI 2020
I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract)
AAAI 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
NeurIPS 2020
Identifying Elements Essential for BERT’s Multilinguality
EMNLP 2020
Identifying Personal Experience Tweets of Medication Effects Using Pre-trained RoBERTa Language Model and Its Updating
EMNLP 2020
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising
WACV 2020
“I’d rather just go to bed”: Understanding Indirect Answers
EMNLP 2020
IESTAC: English-Italian Parallel Corpus for End-to-End Speech-to-Text Machine Translation
EMNLP 2020
IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20
EMNLP 2020
ILFO: Adversarial Attack on Adaptive Neural Networks
CVPR 2020
Image-Adaptive GAN Based Reconstruction
AAAI 2020
Image Based Virtual Try-On Network From Unpaired Data
CVPR 2020
Image-Chat: Engaging Grounded Conversations
ACL 2020
Image Enhanced Event Detection in News Articles
AAAI 2020
Image Hashing via Linear Discriminant Learning
WACV 2020
Image Processing Using Multi-Code GAN Prior
CVPR 2020
ImaGINator: Conditional Spatio-Temporal GAN for Video Generation
WACV 2020
imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A multilabel BERT-based system for predicting COVID-19 events
EMNLP 2020
iMetricGAN: Intelligibility Enhancement for Speech-in-Noise Using Generative Adversarial Network-Based Metric Learning
Interspeech 2020
Imitation Learning via Off-Policy Distribution Matching
ICLR 2020
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability
ICML 2020
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
CVPR 2020
Implicit Geometric Regularization for Learning Shapes
ICML 2020