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)
A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition
EMNLP 2022
A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction
EMNLP 2022
Aspect Is Not You Need: No-aspect Differential Sentiment Framework for Aspect-based Sentiment Analysis
NAACL 2022
Aspect-Opinion Sentiment Alignment for Cross-Domain Sentiment Analysis (Student Abstract)
AAAI 2022
ASPiRe: Adaptive Skill Priors for Reinforcement Learning
NeurIPS 2022
Assessing Multilingual Fairness in Pre-trained Multimodal Representations
ACL 2022
Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos
EMNLP 2022
AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant
EMNLP 2022
Association Graph Learning for Multi-Task Classification with Category Shifts
NeurIPS 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration
CVPR 2022
A Study on Entity Linking Across Domains: Which Data is Best for Fine-Tuning?
ACL 2022
A Study on the Distribution of Social Biases in Self-Supervised Learning Visual Models
CVPR 2022
A Style-Aware Discriminator for Controllable Image Translation
CVPR 2022
A Subspace-Based Analysis of Structured and Unstructured Representations in Image-Text Retrieval
EMNLP 2022
Asymptotics of ℓ_2 Regularized Network Embeddings
NeurIPS 2022
AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract)
AAAI 2022
Asynchronous Personalized Federated Learning with
Irregular Clients
ACML 2022
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-commerce
AAAI 2022
ATD: Augmenting CP Tensor Decomposition by Self Supervision
NeurIPS 2022
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
ACL 2022
A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking
ACL 2022
Attacking Video Recognition Models with Bullet-Screen Comments
AAAI 2022
Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers
EMNLP 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
EMNLP 2022
Attention-based Neural Cellular Automata
NeurIPS 2022