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 Dialogue Learning for Spoken Conversational Question Answering Interspeech 2021 Self-Supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images ICCV 2021 Self-Supervised End-to-End ASR for Low Resource L2 Swedish Interspeech 2021 Self-Supervised GANs with Label Augmentation NeurIPS 2021 Self-Supervised Geometric Perception CVPR 2021 Self-supervised Graph-level Representation Learning with Local and Global Structure ICML 2021 Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation AAAI 2021 Self-Supervised Image Prior Learning With GMM From a Single Noisy Image ICCV 2021 Self-Supervised Learning Based Phone-Fortified Speech Enhancement Interspeech 2021 Self-Supervised Learning Disentangled Group Representation as Feature NeurIPS 2021 Self-Supervised Learning for Domain Adaptation on Point Clouds WACV 2021 Self-Supervised Learning for Semi-Supervised Temporal Action Proposal CVPR 2021 Self-supervised Learning from a Multi-view Perspective ICLR 2021 Self-Supervised Learning of Compressed Video Representations ICLR 2021 Self-Supervised Learning of Depth Inference for Multi-View Stereo CVPR 2021 Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks NeurIPS 2021 Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines L4DC 2021 Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models CVPR 2021 Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style NeurIPS 2021 Self-Supervised Learning with Kernel Dependence Maximization NeurIPS 2021 Self-Supervised Monocular Depth Estimation for All Day Images Using Domain Separation ICCV 2021 Self-Supervised Motion Learning From Static Images CVPR 2021 Self-Supervised Multi-Frame Monocular Scene Flow CVPR 2021 Self-Supervised Multi-Object Tracking with Cross-input Consistency NeurIPS 2021 Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation AAAI 2021