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)
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation
AAAI 2022
Resource-Adaptive Federated Learning with All-In-One Neural Composition
NeurIPS 2022
Respecting Transfer Gap in Knowledge Distillation
NeurIPS 2022
Retaining Knowledge for Learning with Dynamic Definition
NeurIPS 2022
Rethinking Alignment in Video Super-Resolution Transformers
NeurIPS 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
NeurIPS 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
CVPR 2022
Rethinking Controllable Variational Autoencoders
CVPR 2022
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
CVPR 2022
Rethinking Document-level Neural Machine Translation
ACL 2022
Rethinking Efficient Lane Detection via Curve Modeling
CVPR 2022
Rethinking Image Cropping: Exploring Diverse Compositions From Global Views
CVPR 2022
Rethinking InfoNCE: How Many Negative Samples Do You Need?
IJCAI 2022
Rethinking Minimal Sufficient Representation in Contrastive Learning
CVPR 2022
Rethinking Multi-Modal Alignment in Multi-Choice VideoQA from Feature and Sample Perspectives
EMNLP 2022
Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem
ACL 2022
Rethinking Positional Encoding in Tree Transformer for Code Representation
EMNLP 2022
Rethinking Pseudo Labels for Semi-supervised Object Detection
AAAI 2022
Rethinking Resolution in the Context of Efficient Video Recognition
NeurIPS 2022
Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling
ACL 2022
Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model
EMNLP 2022
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance With Expanded Views
CVPR 2022
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
NeurIPS 2022
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification
IJCAI 2022
Rethinking the Reverse-engineering of Trojan Triggers
NeurIPS 2022