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 Extensive Exploration of Back-Translation in 60 Languages
ACL 2023
An Image Quality Assessment Dataset for Portraits
CVPR 2023
An Inductive Bias for Tabular Deep Learning
NeurIPS 2023
An Information Theory Perspective on Variance-Invariance-Covariance Regularization
NeurIPS 2023
An Investigation of Noise in Morphological Inflection
ACL 2023
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization
ACL 2023
Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding
EMNLP 2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
NeurIPS 2023
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
AAAI 2023
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors
AAAI 2023
Anonymization for Skeleton Action Recognition
AAAI 2023
An Open Dataset and Model for Language Identification
ACL 2023
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles
EMNLP 2023
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis
ACML 2023
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence
NeurIPS 2023
Answer-state Recurrent Relational Network (AsRRN) for Constructed Response Assessment and Feedback Grouping
EMNLP 2023
An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language
ACL 2023
AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis
ACL 2023
A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer
EMNLP 2023
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
NeurIPS 2023
A Picture of the Space of Typical Learnable Tasks
ICML 2023
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
ACL 2023
A Practical Stereo Depth System for Smart Glasses
CVPR 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation
CVPR 2023
A Provable Framework of Learning Graph Embeddings via Summarization
AAAI 2023