Skip to content
conftrace_

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
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Self-supervised Network Evolution for Few-shot Classification IJCAI 2021 Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging ICCV 2021 Self-Supervised Neural Topic Modeling EMNLP 2021 Self-Supervised Object Detection via Generative Image Synthesis ICCV 2021 Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation MIDL 2021 Self-Supervised Phonotactic Representations for Language Identification Interspeech 2021 Self-Supervised Pillar Motion Learning for Autonomous Driving CVPR 2021 Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks CoRL 2021 Self-Supervised Poisson-Gaussian Denoising WACV 2021 Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA AAAI 2021 Self-Supervised Pretraining of 3D Features on Any Point-Cloud ICCV 2021 Self-Supervised Product Quantization for Deep Unsupervised Image Retrieval ICCV 2021 Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling AAAI 2021 Self-Supervised Quality Estimation for Machine Translation EMNLP 2021 Self-supervised Reinforcement Learning with Independently Controllable Subgoals CoRL 2021 Self-Supervised Representation Learning From Flow Equivariance ICCV 2021 Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction NeurIPS 2021 Self-supervised Representation Learning with Relative Predictive Coding ICLR 2021 Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic AAAI 2021 Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map CVPR 2021 Self-Supervised Sketch-to-Image Synthesis AAAI 2021 Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry AISTATS 2021 Self-Supervised Test-Time Learning for Reading Comprehension NAACL 2021 Self-Supervised Training for Blind Multi-Frame Video Denoising WACV 2021 Self-Supervised Transfer Learning for Hand Mesh Recovery From Binocular Images ICCV 2021