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)
SurFree: A Fast Surrogate-Free Black-Box Attack
CVPR 2021
Surrogate Gradient Field for Latent Space Manipulation
CVPR 2021
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events
CVPR 2021
SWAD: Domain Generalization by Seeking Flat Minima
NeurIPS 2021
Synchronous Syntactic Attention for Transformer Neural Machine Translation
ACL 2021
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized With Semantic Segmentation for Autonomous Driving
WACV 2021
Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation
EMNLP 2021
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
ACL 2021
Syntax-augmented Multilingual BERT for Cross-lingual Transfer
ACL 2021
SynthASR: Unlocking Synthetic Data for Speech Recognition
Interspeech 2021
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
EMNLP 2021
System description for ProfNER - SMMH: Optimized finetuning of a pretrained transformer and word vectors
NAACL 2021
T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition
EACL 2021
T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
CVPR 2021
T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP
EMNLP 2021
Table-based Fact Verification With Salience-aware Learning
EMNLP 2021
TabNet: Attentive Interpretable Tabular Learning
AAAI 2021
Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation
CVPR 2021
TACo: Token-Aware Cascade Contrastive Learning for Video-Text Alignment
ICCV 2021
TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection
EMNLP 2021
TAG: Gradient Attack on Transformer-based Language Models
EMNLP 2021
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors
AAAI 2021
TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from Text-to-Speech Synthesis
AAAI 2021
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation
ACL 2021
TAP: Text-Aware Pre-Training for Text-VQA and Text-Caption
CVPR 2021