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)
De-Rendering 3D Objects in the Wild
CVPR 2022
DESED: Dialogue-based Explanation for Sentence-level Event Detection
COLING 2022
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
ICLR 2022
DESTR: Object Detection With Split Transformer
CVPR 2022
Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function
AAAI 2022
Detail-Preserving Transformer for Light Field Image Super-resolution
AAAI 2022
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection
NeurIPS 2022
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
ICML 2022
Detecting Deepfakes With Self-Blended Images
CVPR 2022
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0
Interspeech 2022
Detecting Euphemisms with Literal Descriptions and Visual Imagery
EMNLP 2022
Detecting Label Errors by Using Pre-Trained Language Models
EMNLP 2022
Detecting Relevant Differences Between Similar Legal Texts
EMNLP 2022
Detecting the Role of an Entity in Harmful Memes: Techniques and their Limitations
ACL 2022
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
ACL 2022
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5
EMNLP 2022
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
AAAI 2022
DeToxy: A Large-Scale Multimodal Dataset for Toxicity Classification in Spoken Utterances
Interspeech 2022
Developing Prefix-Tuning Models for Hierarchical Text Classification
EMNLP 2022
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
WACV 2022
Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings
EMNLP 2022
DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling
COLING 2022
DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling
ACL 2022
Dialect & Sentiment Identification in Nuanced Arabic Tweets Using an Ensemble of Prompt-based, Fine-tuned, and Multitask BERT-Based Models
EMNLP 2022
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
ACL 2022