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)

Private Learning Implies Online Learning: An Efficient Reduction NeurIPS 2019 PRNet: Self-Supervised Learning for Partial-to-Partial Registration NeurIPS 2019 Probabilistic End-To-End Noise Correction for Learning With Noisy Labels CVPR 2019 Probabilistic Permutation Invariant Training for Speech Separation Interspeech 2019 Probabilistic Semantic Inpainting with Pixel Constrained CNNs AISTATS 2019 Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning NeurIPS 2019 Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation Interspeech 2019 Probing Multilingual Sentence Representations With X-Probe ACL 2019 Probing Neural Network Comprehension of Natural Language Arguments ACL 2019 Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019 Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration NeurIPS 2019 Progressive Augmentation of GANs NeurIPS 2019 Progressive Ensemble Networks for Zero-Shot Recognition CVPR 2019 Progressive Feature Alignment for Unsupervised Domain Adaptation CVPR 2019 Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis ACL 2019 Projections for Approximate Policy Iteration Algorithms ICML 2019 Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NeurIPS 2019 Prosody Usage Optimization for Children Speech Recognition with Zero Resource Children Speech Interspeech 2019 Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses IJCAI 2019 Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019 Provable Robustness of ReLU networks via Maximization of Linear Regions AISTATS 2019 Provably Efficient Imitation Learning from Observation Alone ICML 2019 Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NeurIPS 2019 Provably Efficient Q-Learning with Low Switching Cost NeurIPS 2019 Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost NeurIPS 2019