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)
Which side are you on? Insider-Outsider classification in conspiracy-theoretic social media
ACL 2022
Whodunit? Learning to Contrast for Authorship Attribution
AACL 2022
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
ICLR 2022
Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis
CVPR 2022
Why don’t people use character-level machine translation?
ACL 2022
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective
NeurIPS 2022
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation
ACL 2022
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality
EMNLP 2022
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
ICLR 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
NeurIPS 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
EMNLP 2022
WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification
Interspeech 2022
WildNet: Learning Domain Generalized Semantic Segmentation From the Wild
CVPR 2022
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models
NeurIPS 2022
Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation
EMNLP 2022
With False Friends Like These, Who Can Notice Mistakes?
AAAI 2022
Word Discovery in Visually Grounded, Self-Supervised Speech Models
Interspeech 2022
Word-level Perturbation Considering Word Length and Compositional Subwords
ACL 2022
Word Level Robustness Enhancement: Fight Perturbation with Perturbation
AAAI 2022
Word Order Matters When You Increase Masking
EMNLP 2022
Word Segmentation as Unsupervised Constituency Parsing
ACL 2022
Word Segmentation by Separation Inference for East Asian Languages
ACL 2022
Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension
COLING 2022
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
NeurIPS 2022
XDBERT: Distilling Visual Information to BERT from Cross-Modal Systems to Improve Language Understanding
ACL 2022