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)
An Efficient Adversarial Attack for Tree Ensembles
NeurIPS 2020
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks
AAAI 2020
A negative case analysis of visual grounding methods for VQA
ACL 2020
An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition
EMNLP 2020
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction
EMNLP 2020
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training
EMNLP 2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
ACL 2020
An Empirical Study of Pre-trained Transformers for Arabic Information Extraction
EMNLP 2020
An End-to-End Edge Aggregation Network for Moving Object Segmentation
CVPR 2020
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling
Interspeech 2020
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos
AAAI 2020
A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories
AAAI 2020
A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network
ACML 2020
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks
EMNLP 2020
An information theoretic view on selecting linguistic probes
EMNLP 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies
AAAI 2020
An Investigation Into the Stochasticity of Batch Whitening
CVPR 2020
An Investigation of Potential Function Designs for Neural CRF
EMNLP 2020
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)
AAAI 2020
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task
EMNLP 2020
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
ACL 2020
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving
AAAI 2020
Answer Span Correction in Machine Reading Comprehension
EMNLP 2020
An Unsupervised Information-Theoretic Perceptual Quality Metric
NeurIPS 2020
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
EMNLP 2020