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
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'25
Papers (including subtopics)
Towards Multi-Scale Style Control for Expressive Speech Synthesis
Interspeech 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
NeurIPS 2021
Towards Reusable Network Components by Learning Compatible Representations
AAAI 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
CVPR 2021
Towards Robustness Against Natural Language Word Substitutions
ICLR 2021
Towards Robustness of Text-to-SQL Models against Synonym Substitution
ACL 2021
Towards robust vision by multi-task learning on monkey visual cortex
NeurIPS 2021
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution
AAAI 2021
Towards Rotation Invariance in Object Detection
ICCV 2021
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings?
AAAI 2021
Towards Table-to-Text Generation with Numerical Reasoning
ACL 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
AAAI 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion
IJCAI 2021
Towards User-Driven Neural Machine Translation
ACL 2021
Towards Visual Question Answering on Pathology Images
ACL 2021
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models
EMNLP 2021
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
EMNLP 2021
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
ICML 2021
To what extent do human explanations of model behavior align with actual model behavior?
EMNLP 2021
Tracing variation in discourse connectives in translation and interpreting through neural semantic spaces
EMNLP 2021
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
CVPR 2021
Track To Detect and Segment: An Online Multi-Object Tracker
CVPR 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
NeurIPS 2021
Traffic Forecasting using Vehicle-to-Vehicle Communication
L4DC 2021
Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator
EMNLP 2021