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
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'25
Papers (including subtopics)
Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis
AAAI 2020
CrossNet: Latent Cross-Consistency for Unpaired Image Translation
WACV 2020
Cross-Spectral Face Hallucination via Disentangling Independent Factors
CVPR 2020
Cross-Thought for Sentence Encoder Pre-training
EMNLP 2020
CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets
EMNLP 2020
CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation
AAAI 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
NeurIPS 2020
CUNI Submission for the Inuktitut Language in WMT News 2020
EMNLP 2020
CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20
EMNLP 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
ICML 2020
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
CVPR 2020
Curriculum Learning by Dynamic Instance Hardness
NeurIPS 2020
Curriculum Learning for Natural Language Understanding
ACL 2020
Curriculum Loss: Robust Learning and Generalization against Label Corruption
ICLR 2020
Curriculum Pre-training for End-to-End Speech Translation
ACL 2020
CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features
EMNLP 2020
D2Det: Towards High Quality Object Detection and Instance Segmentation
CVPR 2020
D3D: Distilled 3D Networks for Video Action Recognition
WACV 2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
CVPR 2020
D3S - A Discriminative Single Shot Segmentation Tracker
CVPR 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
CVPR 2020
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT
EMNLP 2020
DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking
AAAI 2020
Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors
ACL 2020
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
EMNLP 2020