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)
DistilPose: Tokenized Pose Regression With Heatmap Distillation
CVPR 2023
DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model
Interspeech 2023
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering
ACL 2023
Distractor Generation based on Text2Text Language Models with Pseudo Kullback-Leibler Divergence Regulation
ACL 2023
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training
NeurIPS 2023
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning
EMNLP 2023
Diverse Demonstrations Improve In-context Compositional Generalization
ACL 2023
Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion
AAAI 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
NeurIPS 2023
Diversifying language models for lesser-studied languages and language-usage contexts: A case of second language Korean
EMNLP 2023
Diversify Question Generation with Retrieval-Augmented Style Transfer
EMNLP 2023
Diversity-Aware Coherence Loss for Improving Neural Topic Models
ACL 2023
Diversity-Aware Meta Visual Prompting
CVPR 2023
Diversity-Measurable Anomaly Detection
CVPR 2023
Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning
CVPR 2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
ACL 2023
DKM: Dense Kernelized Feature Matching for Geometry Estimation
CVPR 2023
DLBD: A Self-Supervised Direct-Learned Binary Descriptor
CVPR 2023
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching
AAAI 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks
AAAI 2023
DMLM: Descriptive Masked Language Modeling
ACL 2023
DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuning
SemEval 2023
DNN-based Parameter Estimation for MVDR Beamforming and Post-filtering
Interspeech 2023
DOC: Improving Long Story Coherence With Detailed Outline Control
ACL 2023
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?
ACL 2023