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)
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
EMNLP 2020
Kernel Based Progressive Distillation for Adder Neural Networks
NeurIPS 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
NeurIPS 2020
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
L4DC 2020
Keywords-Guided Abstractive Sentence Summarization
AAAI 2020
Knowing Right from Wrong: Should We Use More Complex Models for Automatic Short-Answer Scoring in Bahasa Indonesia?
EMNLP 2020
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge
CVPR 2020
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation
ACL 2020
Knowledge Distillation from Offline to Streaming RNN Transducer for End-to-End Speech Recognition
Interspeech 2020
Knowledge-Enriched Visual Storytelling
AAAI 2020
Knowledge-Graph Augmented Word Representations for Named Entity Recognition
AAAI 2020
Knowledge Graph Embedding Compression
ACL 2020
Knowledge Integration Networks for Action Recognition
AAAI 2020
Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms
ACL 2020
KU-CST at the SIGMORPHON 2020 Task 2 on Unsupervised Morphological Paradigm Completion
ACL 2020
Label Decoupling Framework for Salient Object Detection
CVPR 2020
Label-Efficient Training for Next Response Selection
EMNLP 2020
Labelling unlabelled videos from scratch with multi-modal self-supervision
NeurIPS 2020
Language-aware Interlingua for Multilingual Neural Machine Translation
ACL 2020
Language-Conditioned Feature Pyramids for Visual Selection Tasks
EMNLP 2020
Language Models as Fact Checkers?
ACL 2020
Language Through a Prism: A Spectral Approach for Multiscale Language Representations
NeurIPS 2020
Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions
ACL 2020
LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool
EMNLP 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
NeurIPS 2020