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)
CUE Vectors: Modular Training of Language Models Conditioned on Diverse Contextual Signals
ACL 2022
Curriculum-guided Abstractive Summarization for Mental Health Online Posts
EMNLP 2022
Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis
EMNLP 2022
Curriculum learning as a tool to uncover learning principles in the brain
ICLR 2022
Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning
EMNLP 2022
Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization
EMNLP 2022
CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting
EMNLP 2022
CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision
CVPR 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining
NeurIPS 2022
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video
NeurIPS 2022
DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision
NeurIPS 2022
DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation
NeurIPS 2022
Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis
Interspeech 2022
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation
ACL 2022
DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Models
EMNLP 2022
Dancing Under the Stars: Video Denoising in Starlight
CVPR 2022
DARE: Disentanglement-Augmented Rationale Extraction
NeurIPS 2022
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition
ACL 2022
Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models
ACL 2022
DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior
AAAI 2022
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning
NeurIPS 2022
DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning
CVPR 2022
Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue
ACL 2022
Data Augmentation as Feature Manipulation
ICML 2022
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
NeurIPS 2022