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)
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
AAAI 2023
Beyond Testers’ Biases: Guiding Model Testing with Knowledge Bases using LLMs
EMNLP 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
NeurIPS 2023
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark
ACL 2023
Bhattacharya_Lab at SemEval-2023 Task 12: A Transformer-based Language Model for Sentiment Classification for Low Resource African Languages: Nigerian Pidgin and Yoruba
SemEval 2023
Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection
CVPR 2023
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing
CVPR 2023
Biased Self-supervised Learning for ASR
Interspeech 2023
Bias-Eliminating Augmentation Learning for Debiased Federated Learning
CVPR 2023
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
CVPR 2023
BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency
CVPR 2023
Bidding Graph Games with Partially-Observable Budgets
AAAI 2023
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
ICML 2023
Bidirectional Alignment for Domain Adaptive Detection with Transformers
ICCV 2023
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
CVPR 2023
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models
CVPR 2023
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning
CVPR 2023
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
AAAI 2023
Bi-Directional Frame Interpolation for Unsupervised Video Anomaly Detection
WACV 2023
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization
EMNLP 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency
ICML 2023
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
ICLR 2023
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation
ACL 2023
Bilateral Memory Consolidation for Continual Learning
CVPR 2023
Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm
NeurIPS 2023