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)
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
CVPR 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
CoRL 2023
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm
ICCV 2023
Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval
CVPR 2023
Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation
CVPR 2023
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary
CVPR 2023
Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks
ICCV 2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
ICCV 2023
Box-Level Active Detection
CVPR 2023
BoxSnake: Polygonal Instance Segmentation with Box Supervision
ICCV 2023
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
CVPR 2023
BpHigh at WASSA 2023: Using Contrastive Learning to build Sentence Transformer models for Multi-Class Emotion Classification in Code-mixed Urdu
ACL 2023
BrainBERT: Self-supervised representation learning for intracranial recordings
ICLR 2023
Brain-like representational straightening of natural movies in robust feedforward neural networks
ICLR 2023
Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack
CVPR 2023
Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model
AISTATS 2023
Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer’s Disease
ACL 2023
Breaking Boundaries in Retrieval Systems: Unsupervised Domain Adaptation with Denoise-Finetuning
EMNLP 2023
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images
ICCV 2023
Breaking Correlation Shift via Conditional Invariant Regularizer
ICLR 2023
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
AAAI 2023
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models
ICCV 2023
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework
ACL 2023
Bridging Argument Quality and Deliberative Quality Annotations with Adapters
EACL 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
CVPR 2023