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)
Gendered Mental Health Stigma in Masked Language Models
EMNLP 2022
Generalised Implicit Neural Representations
NeurIPS 2022
Generalised Policy Improvement with Geometric Policy Composition
ICML 2022
Generalizable Cross-Modality Medical Image Segmentation via Style Augmentation and Dual Normalization
CVPR 2022
Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption
AAAI 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
NeurIPS 2022
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions
L4DC 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
ACL 2022
Generalized Category Discovery
CVPR 2022
Generalized Few-Shot Semantic Segmentation
CVPR 2022
Generalized One-shot Domain Adaptation of Generative Adversarial Networks
NeurIPS 2022
Generalizing Gaussian Smoothing for Random Search
ICML 2022
Generalizing Gaze Estimation With Rotation Consistency
CVPR 2022
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation
AAAI 2022
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework
EMNLP 2022
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation
NAACL 2022
Generating Biographies on Wikipedia: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies
ACL 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
ACL 2022
Generating Distributional Adversarial Examples to Evade Statistical Detectors
ICML 2022
Generating Diverse and Natural 3D Human Motions From Text
CVPR 2022
Generating Representative Samples for Few-Shot Classification
CVPR 2022
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
ACL 2022
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering
AAAI 2022
Generative Adaptive Convolutions for Real-World Noisy Image Denoising
AAAI 2022
Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition
Interspeech 2022