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)

Selective Pseudo-labeling and Class-wise Discriminative Fusion for Sound Event Detection Interspeech 2022 Selective Regression under Fairness Criteria ICML 2022 Selective-Supervised Contrastive Learning With Noisy Labels CVPR 2022 Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations AAAI 2022 Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition CVPR 2022 Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI NAACL 2022 SelfD: Self-Learning Large-Scale Driving Policies From the Web CVPR 2022 Self-ensemble Adversarial Training for Improved Robustness ICLR 2022 SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation COLING 2022 Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification IJCAI 2022 Self-Healing Robust Neural Networks via Closed-Loop Control JMLR 2022 Self-Joint Supervised Learning ICLR 2022 Self-Labeling Framework for Novel Category Discovery over Domains AAAI 2022 SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training COLING 2022 Self-Organized Group for Cooperative Multi-agent Reinforcement Learning NeurIPS 2022 Self-Organized Polynomial-Time Coordination Graphs ICML 2022 Self-paced Supervision for Multi-source Domain Adaptation IJCAI 2022 Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning IJCAI 2022 SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling Interspeech 2022 Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations NeurIPS 2022 Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition NeurIPS 2022 Self-supervised Amodal Video Object Segmentation NeurIPS 2022 Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation CVPR 2022 Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data AAAI 2022 Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation AAAI 2022