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)
Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision
AAAI 2022
Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning
AAAI 2022
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
NeurIPS 2022
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning
NeurIPS 2022
Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo
CVPR 2022
Non-Parametric Domain Adaptation for End-to-End Speech Translation
EMNLP 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
NeurIPS 2022
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
ICLR 2022
No-Reference Point Cloud Quality Assessment via Domain Adaptation
CVPR 2022
Normalization of Language Embeddings for Cross-Lingual Alignment
ICLR 2022
Normalized Contrastive Learning for Text-Video Retrieval
EMNLP 2022
Normalizing Mutual Information for Robust Adaptive Training for Translation
EMNLP 2022
Norm-based Noisy Corpora Filtering and Refurbishing in Neural Machine Translation
EMNLP 2022
No Stock is an Island: Learning Internal and Relational Attributes of Stocks with Contrastive Learning
EMNLP 2022
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch
AAAI 2022
Not All Poisons are Created Equal: Robust Training against Data Poisoning
ICML 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
NeurIPS 2022
Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling
EMNLP 2022
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering
EMNLP 2022
NPBG++: Accelerating Neural Point-Based Graphics
CVPR 2022
N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking
ACL 2022
NSP-BERT: A Prompt-based Few-Shot Learner through an Original Pre-training Task —— Next Sentence Prediction
COLING 2022
NSUT-NLP at CASE 2022 Task 1: Multilingual Protest Event Detection using Transformer-based Models
EMNLP 2022
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022
ACL 2022
NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media
ACL 2022