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)
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
AAAI 2023
Joint Semantic and Strategy Matching for Persuasive Dialogue
EMNLP 2023
Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data
ACL 2023
Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time
CVPR 2023
JourneyDB: A Benchmark for Generative Image Understanding
NeurIPS 2023
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimoda Emotion Recognition
EMNLP 2023
JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment
AAAI 2023
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
NeurIPS 2023
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation
CVPR 2023
KeFVP: Knowledge-enhanced Financial Volatility Prediction
EMNLP 2023
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness
EMNLP 2023
Kernel Aware Resampler
CVPR 2023
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
AAAI 2023
KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction
AAAI 2023
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
EMNLP 2023
KILM: Knowledge Injection into Encoder-Decoder Language Models
ACL 2023
KIT’s Multilingual Speech Translation System for IWSLT 2023
ACL 2023
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
ICLR 2023
KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization
ACL 2023
Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering
ACL 2023
Knowledge Acquisition for Human-In-The-Loop Image Captioning
AISTATS 2023
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer
AAAI 2023
Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering
AAAI 2023
Knowledge Distillation Approach for Efficient Internal Language Model Estimation
Interspeech 2023
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
ICLR 2023