Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Disfluency Generation for More Robust Dialogue Systems
ACL 2023
Disfluent Cues for Enhanced Speech Understanding in Large Language Models
EMNLP 2023
DisGUIDE: Disagreement-Guided Data-Free Model Extraction
AAAI 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
AAAI 2023
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
NeurIPS 2023
Distance-to-Set Priors and Constrained Bayesian Inference
AISTATS 2023
Distance Weighted Supervised Learning for Offline Interaction Data
ICML 2023
DISTANT: Distantly Supervised Entity Span Detection and Classification
ACL 2023
Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline
ACL 2023
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble
AAAI 2023
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings
EMNLP 2023
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
ICCV 2023
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding
ICCV 2023
Distilling Efficient Language-Specific Models for Cross-Lingual Transfer
ACL 2023
Distilling from Similar Tasks for Transfer Learning on a Budget
ICCV 2023
Distilling Reasoning Capabilities into Smaller Language Models
ACL 2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
CVPR 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
ACL 2023
Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization
CVPR 2023
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
ACL 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
Distinguishing Romanized Hindi from Romanized Urdu
ACL 2023
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
CVPR 2023
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
ICCV 2023