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)

Few-Cost Salient Object Detection with Adversarial-Paced Learning NeurIPS 2020 Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract) AAAI 2020 Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020 Few-Shot Class-Incremental Learning CVPR 2020 Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning EMNLP 2020 Few-Shot Knowledge Graph Completion AAAI 2020 Few-Shot Learning for Opinion Summarization EMNLP 2020 Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation CVPR 2020 Few-Shot Learning of Video Action Recognition Only Based on Video Contents WACV 2020 Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions CVPR 2020 Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases EMNLP 2020 Few-shot Natural Language Generation for Task-Oriented Dialog EMNLP 2020 Few Shot Network Compression via Cross Distillation AAAI 2020 Few-Shot NLG with Pre-Trained Language Model ACL 2020 Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020 Few-Shot Pill Recognition CVPR 2020 Few-shot Pseudo-Labeling for Intent Detection COLING 2020 Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network ACL 2020 Few-Shot Video Classification via Temporal Alignment CVPR 2020 Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration IJCAI 2020 Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NeurIPS 2020 f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning NeurIPS 2020 FGN: Fully Guided Network for Few-Shot Instance Segmentation CVPR 2020 Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications NeurIPS 2020 Fiduciary Bandits ICML 2020