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
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'10
'15
'20
'25
Papers (including subtopics)
Investigating Compositional Challenges in Vision-Language Models for Visual Grounding
CVPR 2024
Investigating Confidence Estimation Measures for Speaker Diarization
Interspeech 2024
Investigating Cultural Alignment of Large Language Models
ACL 2024
Investigating Gender Bias in STEM Job Advertisements
ACL 2024
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024
EMNLP 2024
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
EMNLP 2024
Investigating Mysteries of CoT-Augmented Distillation
EMNLP 2024
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
ICML 2024
Investigating radicalisation indicators in online extremist communities
NAACL 2024
Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures
Interspeech 2024
Investigating the Benefits of Projection Head for Representation Learning
ICLR 2024
Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality
Interspeech 2024
Investigating the Emergent Audio Classification Ability of ASR Foundation Models
NAACL 2024
Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise
UAI 2024
Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study
COLING 2024
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection
WACV 2024
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
EMNLP 2024
Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit’s Showerthoughts
NAACL 2024
Investigation of Layer-Wise Speech Representations in Self-Supervised Learning Models: A Cross-Lingual Study in Detecting Depression
Interspeech 2024
Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain
AAAI 2024
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples
AAAI 2024
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
ICML 2024
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives
AAAI 2024
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data
AAAI 2024
IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking
AAAI 2024