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)
Journalistic Guidelines Aware News Image Captioning
EMNLP 2021
jurBERT: A Romanian BERT Model for Legal Judgement Prediction
EMNLP 2021
JuriBERT: A Masked-Language Model Adaptation for French Legal Text
EMNLP 2021
KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference
ACL 2021
Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission
EMNLP 2021
Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain
CVPR 2021
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation
IJCAI 2021
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
CVPR 2021
Keep CALM and Improve Visual Feature Attribution
ICCV 2021
Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection
CVPR 2021
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
AAAI 2021
Kernel-convoluted Deep Neural Networks with Data Augmentation
AAAI 2021
Keynote Abstract: Events on a Global Scale: Towards Language-Agnostic Event Extraction
ACL 2021
Keyphrase Extraction with Incomplete Annotated Training Data
EMNLP 2021
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning
EMNLP 2021
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
EMNLP 2021
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
CVPR 2021
Keypoint-Graph-Driven Learning Framework for Object Pose Estimation
CVPR 2021
“Killing Me” Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism
EACL 2021
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
ACL 2021
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks
IJCAI 2021
Knodle: Modular Weakly Supervised Learning with PyTorch
ACL 2021
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
EMNLP 2021
Knowledge-Adaptation Priors
NeurIPS 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding
EMNLP 2021