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)
Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis
WACV 2022
Adversarial Parametric Pose Prior
CVPR 2022
Adversarial Perturbations Augmented Language Models for Euphemism Identification
EMNLP 2022
Adversarial Robustness in Multi-Task Learning: Promises and Illusions
AAAI 2022
Adversarial Robustness is at Odds with Lazy Training
NeurIPS 2022
Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis
ACL 2022
Adversarial Task Up-sampling for Meta-learning
NeurIPS 2022
Adversarial Text-to-Speech for low-resource languages
EMNLP 2022
Adversarial Texture for Fooling Person Detectors in the Physical World
CVPR 2022
Adversarial training for high-stakes reliability
NeurIPS 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
AAAI 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
NeurIPS 2022
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds
AAAI 2022
A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation
ACL 2022
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
NAACL 2022
A Framework for Adapting Pre-Trained Language Models to Knowledge Graph Completion
EMNLP 2022
A Framework for Learning Ante-Hoc Explainable Models via Concepts
CVPR 2022
AFRNN: Stable RNN with Top Down Feedback and
Antisymmetry
ACML 2022
AfroLID: A Neural Language Identification Tool for African Languages
EMNLP 2022
A Fusion-Denoising Attack on InstaHide with Data Augmentation
AAAI 2022
A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems
EMNLP 2022
A Gentle Introduction to Deep Nets and Opportunities for the Future
ACL 2022
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
NeurIPS 2022
A Hybrid Approach to Cross-lingual Product Review Summarization
EMNLP 2022
A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-Shot Representation Forecasting
CVPR 2022