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)
BYOL-Explore: Exploration by Bootstrapped Prediction
NeurIPS 2022
Byte-Level Massively Multilingual Semantic Parsing
EMNLP 2022
C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection
CVPR 2022
C2SLR: Consistency-Enhanced Continuous Sign Language Recognition
CVPR 2022
C3-STISR: Scene Text Image Super-resolution with Triple Clues
IJCAI 2022
C5L7: A Zero-Shot Algorithm for Intent and Slot Detection in Multilingual Task Oriented Languages
EMNLP 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
CVPR 2022
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
ICLR 2022
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism
CVPR 2022
Calibrating Student Models for Emotion-related Tasks
EMNLP 2022
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
AAAI 2022
CALM: Constrastive Cross-modal Speaking Style Modeling for Expressive Text-to-Speech Synthesis
Interspeech 2022
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
CVPR 2022
CamPros at CASE 2022 Task 1: Transformer-based Multilingual Protest News Detection
EMNLP 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
NeurIPS 2022
Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models
ACL 2022
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation
EMNLP 2022
Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?
EMNLP 2022
Can language models learn from explanations in context?
EMNLP 2022
Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding
AAAI 2022
Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions?
ACL 2022
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
AAAI 2022
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation
ACL 2022
Can Vision Transformers Learn without Natural Images?
AAAI 2022
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge
ACL 2022